diff --git a/LatentUpscaleMultiply_Omar92.py b/LatentUpscaleMultiply_Omar92.py new file mode 100644 index 0000000000000000000000000000000000000000..5ebb7e56cb13a96df96e6e2049be4aec8ec71512 --- /dev/null +++ b/LatentUpscaleMultiply_Omar92.py @@ -0,0 +1,72 @@ +# Developed by Omar - https://github.com/omar92 +# https://civitai.com/user/omar92 +# discord: Omar92#3374 + +# This node provides an alterntive scaling node buy multiplying previous width and height by a factor +import os +import sys + +sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(__file__)), "comfy")) +import comfy.samplers +import comfy.sd +import comfy.utils +import model_management + + +def before_node_execution(): + model_management.throw_exception_if_processing_interrupted() + + +def interrupt_processing(value=True): + model_management.interrupt_current_processing(value) + + +class LatentUpscaleMultiply: + upscale_methods = ["nearest-exact", "bilinear", "area"] + crop_methods = ["disabled", "center"] + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "samples": ("LATENT",), + "upscale_method": (s.upscale_methods,), + "WidthMul": ( + "FLOAT", + {"default": 1.25, "min": 0.0, "max": 10.0, "step": 0.1}, + ), + "HeightMul": ( + "FLOAT", + {"default": 1.25, "min": 0.0, "max": 10.0, "step": 0.1}, + ), + "crop": (s.crop_methods,), + } + } + + RETURN_TYPES = ("LATENT",) + FUNCTION = "upscale" + + CATEGORY = "O/latent" + + def upscale(self, samples, upscale_method, WidthMul, HeightMul, crop): + s = samples.copy() + x = samples["samples"].shape[3] + y = samples["samples"].shape[2] + + new_x = int(x * WidthMul) + new_y = int(y * HeightMul) + print("upscale from ("+ str(x * 8)+ ","+ str(y * 8)+ ") to ("+ str(new_x * 8)+ ","+ str(new_y * 8)+ ")") + + def enforce_mul_of_64(d): + leftover = d % 8 + if leftover != 0: + d += 8 - leftover + return d + + s["samples"] = comfy.utils.common_upscale( + samples["samples"], enforce_mul_of_64(new_x), enforce_mul_of_64(new_y), upscale_method, crop + ) + return (s,) + + +NODE_CLASS_MAPPINGS = {"LatentUpscaleMultiply": LatentUpscaleMultiply} diff --git a/comfyuiDerfuuMathAnd_derfuuNodes02/.DS_Store b/comfyuiDerfuuMathAnd_derfuuNodes02/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..acc851c59c237ef63d8211a5bc1b69df0275d1e2 Binary files /dev/null and b/comfyuiDerfuuMathAnd_derfuuNodes02/.DS_Store differ diff --git a/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/debugNodes.cpython-310.pyc b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/debugNodes.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..ad9c75ed9efed5fe7a5aa4639af5f33f12e780e9 Binary files /dev/null and b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/debugNodes.cpython-310.pyc differ diff --git a/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/fields.cpython-310.pyc b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/fields.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..806b0fe32820acb6b398ce49bf5ad8681397e6f0 Binary files /dev/null and b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/fields.cpython-310.pyc differ diff --git a/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/functionsNodes.cpython-310.pyc b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/functionsNodes.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..8dd4d8c752bde647ebfc40a467bbb796ef946cf3 Binary files /dev/null and b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/functionsNodes.cpython-310.pyc differ diff --git a/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/mathNodes.cpython-310.pyc b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/mathNodes.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..88a9ae788bd24c39d047814789b4b481fc5364a9 Binary files /dev/null and b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/mathNodes.cpython-310.pyc differ diff --git a/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/moddedNodes.cpython-310.pyc b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/moddedNodes.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..37392555980ba92455ed4d27d63c40ac69f985b9 Binary files /dev/null and b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/moddedNodes.cpython-310.pyc differ diff --git a/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/tree.cpython-310.pyc b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/tree.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..7a8bab3c92d1f7462bde4eca7214291ed9ccf015 Binary files /dev/null and b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/tree.cpython-310.pyc differ diff --git a/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/trigonNodes.cpython-310.pyc b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/trigonNodes.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..bea0d50cf0137d0269fd37ec2ee707da1b09cccd Binary files /dev/null and b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/trigonNodes.cpython-310.pyc differ diff --git a/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/typeNodes.cpython-310.pyc b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/typeNodes.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..083b08df425c07047a2175cb7acd34d43a4e445b Binary files /dev/null and b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/typeNodes.cpython-310.pyc differ diff --git a/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/types.cpython-310.pyc b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/types.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..0b2514b7fbce186877af54d542b0ea032a9e7eb0 Binary files /dev/null and b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/__pycache__/types.cpython-310.pyc differ diff --git a/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/debugNodes.py b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/debugNodes.py new file mode 100644 index 0000000000000000000000000000000000000000..70b5eb0ca79cf114745f492ffc4c5d607ffa60c8 --- /dev/null +++ b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/debugNodes.py @@ -0,0 +1,51 @@ +import custom_nodes.Derfuu_Nodes.types as type +import custom_nodes.Derfuu_Nodes.fields as field +from custom_nodes.Derfuu_Nodes.tree import TREE_DEBUG + +class baseDebugNode: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "FLOAT": (type.FLOAT,), + "INTEGER": (type.INT,), + "TUPLE": (type.TUPLE,), + } + } + + RETURN_TYPES = () + CATEGORY = TREE_DEBUG + FUNCTION = "print_values" + OUTPUT_NODE = True + + def print_values(self, FLOAT=0, INTEGER=0, TUPLE=(0, 0)): + print(FLOAT, INTEGER, TUPLE, sep="\n") + return (None,) + + +class extendedDebugNode: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "FLOAT": (type.FLOAT,), + "INTEGER": (type.INT,), + "TUPLE": (type.TUPLE,), + # "ABS": (type.ABS,), + } + } + + RETURN_TYPES = () + CATEGORY = TREE_DEBUG + FUNCTION = "print_values" + OUTPUT_NODE = True + + def print_values(self, FLOAT=0, INTEGER=0, TUPLE=(0, 0)): + print(FLOAT, INTEGER, TUPLE, sep="\n") + return (None,) \ No newline at end of file diff --git a/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/fields.py b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/fields.py new file mode 100644 index 0000000000000000000000000000000000000000..c9a36c888766d676ea2d6ec0eb00574901418b92 --- /dev/null +++ b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/fields.py @@ -0,0 +1,7 @@ +import sys + +FLOAT = ("FLOAT", {"default": 1.00, "min": sys.float_info.min, "max": sys.float_info.max, "step": 0.01}) +# BOOL = ("BOOL", {"default": False}) +INT = ("INT", {"default": 1, "min": -sys.maxsize, "max": sys.maxsize, "step": 1}) +STRING = ("STRING", {"default": ""}) +STRING_ML = ("STRING", {"multiline": True}) \ No newline at end of file diff --git a/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/functionsNodes.py b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/functionsNodes.py new file mode 100644 index 0000000000000000000000000000000000000000..3101a6d2fa3cff28513a74485cdf52c44eeb2453 --- /dev/null +++ b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/functionsNodes.py @@ -0,0 +1,166 @@ +import comfy.utils +import custom_nodes.Derfuu_Nodes.types as type +import custom_nodes.Derfuu_Nodes.fields as field + +import math + +from custom_nodes.Derfuu_Nodes.tree import TREE_FUNCTIONS + + +class Int2Float: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "INT": (type.INT,), + } + } + + RETURN_TYPES = (type.FLOAT,) + FUNCTION = "get_value" + CATEGORY = TREE_FUNCTIONS + + def get_value(self, INT): + return (float(INT),) + + +class CeilNode: + def __init__(self) -> None: + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "FLOAT": (type.FLOAT,), + } + } + + RETURN_TYPES = (type.INT,) + FUNCTION = "get_value" + CATEGORY = TREE_FUNCTIONS + + def get_value(self, FLOAT): + total = int(math.ceil(FLOAT)) + return (total,) + + +class FloorNode: + def __init__(self) -> None: + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "FLOAT": (type.FLOAT,), + } + } + + RETURN_TYPES = (type.INT,) + FUNCTION = "get_value" + CATEGORY = TREE_FUNCTIONS + + def get_value(self, FLOAT): + total = int(math.floor(FLOAT)) + return (total,) + + +class Float2Tuple: + def __init__(self) -> None: + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "FLOAT_A": (type.FLOAT,), + "FLOAT_B": (type.FLOAT,), + "Ceil2Int": ([False, True],), + } + } + + RETURN_TYPES = (type.TUPLE,) + CATEGORY = TREE_FUNCTIONS + + FUNCTION = 'get_tuple' + + def get_tuple(self, FLOAT_A=0, FLOAT_B=0, Ceil2Int="false"): + if Ceil2Int == "true": + FLOAT_A = math.ceil(FLOAT_A) + FLOAT_B = math.ceil(FLOAT_B) + return ((FLOAT_A, FLOAT_B),) + + +class Tuple2Float: + def __init__(self) -> None: + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "TUPLE": (type.TUPLE,), + } + } + + RETURN_TYPES = (type.FLOAT, type.FLOAT,) + CATEGORY = TREE_FUNCTIONS + + FUNCTION = 'get_tuple' + + def get_tuple(self, TUPLE): + return (TUPLE[0], TUPLE[1],) + + +class GetLatentSize: + def __init__(self) -> None: + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "LATENT": (type.LATENT,), + "ORIGINAL_VALUES": ([False, True],), + } + } + + RETURN_TYPES = (type.TUPLE,) + CATEGORY = TREE_FUNCTIONS + + FUNCTION = 'get_size' + + def get_size(self, LATENT, ORIGINAL_VALUES=False): + lc = LATENT.copy() + size = lc["samples"].shape[3], lc["samples"].shape[2] + if ORIGINAL_VALUES == False: + size = size[0] * 8, size[1] * 8 + return (size,) + + +class GetImageSize: + def __init__(self) -> None: + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "IMAGE": (type.IMAGE,), + } + } + + RETURN_TYPES = (type.TUPLE,) + CATEGORY = TREE_FUNCTIONS + + FUNCTION = 'get_size' + + def get_size(self, IMAGE): + samples = IMAGE.movedim(-1, 1) + size = samples.shape[3], samples.shape[2] + # size = size.movedim(1, -1) + return (size,) diff --git a/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/mathNodes.py b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/mathNodes.py new file mode 100644 index 0000000000000000000000000000000000000000..b738db7d967cb41e81d13d07bf54bd2d091ce67d --- /dev/null +++ b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/mathNodes.py @@ -0,0 +1,137 @@ +import math + +import numpy + +import custom_nodes.Derfuu_Nodes.types as type +from custom_nodes.Derfuu_Nodes.tree import TREE_MATH + + +class MultiplyNode: + def __init__(self) -> None: + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "FLOAT_A": (type.FLOAT,), + "FLOAT_B": (type.FLOAT,), + }, + } + + RETURN_TYPES = (type.FLOAT,) + FUNCTION = "multiply" + CATEGORY = TREE_MATH + + def multiply(self, FLOAT_A, FLOAT_B): + total = float(FLOAT_A * FLOAT_B) + return (total,) + + +class DivideNode: + def __init__(self) -> None: + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "FLOAT_A": (type.FLOAT,), + "FLOAT_B": (type.FLOAT,), + }, + } + + RETURN_TYPES = (type.FLOAT,) + FUNCTION = "divide" + CATEGORY = TREE_MATH + + def divide(self, FLOAT_A, FLOAT_B): + total = float(FLOAT_A / FLOAT_B) + return (total,) + + +class SumNode: + def __init__(self) -> None: + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "FLOAT_A": (type.FLOAT,), + "FLOAT_B": (type.FLOAT,), + }, + } + + RETURN_TYPES = (type.FLOAT,) + FUNCTION = "sum" + CATEGORY = TREE_MATH + + def sum(self, FLOAT_A, FLOAT_B): + total = float(FLOAT_A + FLOAT_B) + return (total,) + + +class SubtractNode: + def __init__(self) -> None: + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "FLOAT_A": (type.FLOAT,), + "FLOAT_B": (type.FLOAT,), + }, + } + + RETURN_TYPES = (type.FLOAT,) + FUNCTION = "sub" + CATEGORY = TREE_MATH + + def sub(self, FLOAT_A, FLOAT_B): + total = float(FLOAT_A + FLOAT_B) + return (total,) + + +class PowNode: + def __init__(self) -> None: + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "FLOAT_A": (type.FLOAT,), + "FLOAT_B": (type.FLOAT,), + }, + } + + RETURN_TYPES = (type.FLOAT,) + FUNCTION = "sub" + CATEGORY = TREE_MATH + + def sub(self, FLOAT_A, FLOAT_B=2): + total = math.pow(FLOAT_A, FLOAT_B) + return (total,) + + +class SquareRootNode: + def __init__(self) -> None: + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "FLOAT": (type.FLOAT,), + }, + } + + RETURN_TYPES = (type.FLOAT,) + FUNCTION = "sub" + CATEGORY = TREE_MATH + + def sub(self, FLOAT): + total = math.sqrt(FLOAT) + return (total,) \ No newline at end of file diff --git a/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/moddedNodes.py b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/moddedNodes.py new file mode 100644 index 0000000000000000000000000000000000000000..c4dcc3a140304c4870470a1853503aa0fdbc9698 --- /dev/null +++ b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/moddedNodes.py @@ -0,0 +1,194 @@ +import custom_nodes.Derfuu_Nodes.types as type +import custom_nodes.Derfuu_Nodes.fields as field +from custom_nodes.Derfuu_Nodes.tree import TREE_LATENTS, TREE_IMAGES + +import math +import torch + +import comfy.utils + + +class EmptyLatentImage: + def __init__(self, device="cpu"): + self.device = device + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "TUPLE": (type.TUPLE,), + "batch_size": field.INT, + } + } + + RETURN_TYPES = (type.LATENT,) + FUNCTION = "generate" + CATEGORY = TREE_LATENTS + + def generate(self, TUPLE, batch_size=1): + width = int(TUPLE[0]) + height = int(TUPLE[1]) + + latent = torch.zeros([batch_size, 4, height // 8, width // 8]) + return ({"samples": latent},) + + +class ImageScale_Ratio: + upscale_methods = ["nearest-exact", "bilinear", "area"] + crop_methods = ["disabled", "center"] + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "IMAGE": (type.IMAGE,), + "TUPLE": (type.TUPLE,), + "modifier": field.FLOAT, + "upscale_method": (cls.upscale_methods,), + "crop": (cls.crop_methods,)}} + + RETURN_TYPES = (type.IMAGE, type.TUPLE,) + FUNCTION = "upscale" + + CATEGORY = TREE_IMAGES + + def upscale(self, IMAGE, upscale_method, TUPLE, modifier, crop): + samples = IMAGE.movedim(-1, 1) + + width_B = int(TUPLE[0]) + height_B = int(TUPLE[1]) + + height = math.ceil(height_B * modifier) + width = math.ceil(width_B * modifier) + cls = comfy.utils.common_upscale(samples, width, height, upscale_method, crop) + cls = cls.movedim(1, -1) + return (cls, (width, height),) + + +class ImageScale_Side: + upscale_methods = ["nearest-exact", "bilinear", "area"] + crop_methods = ["disabled", "center"] + + def __init__(self) -> None: + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "IMAGE": (type.IMAGE,), + "TUPLE": (type.TUPLE,), + "side_length": field.INT, + "side": (["Width", "Height"],), + "upscale_method": (cls.upscale_methods,), + "crop": (cls.crop_methods,)}} + + RETURN_TYPES = (type.IMAGE, type.TUPLE,) + FUNCTION = "upscale" + + CATEGORY = TREE_IMAGES + + def upscale(self, IMAGE, upscale_method, TUPLE, side_length, side, crop): + samples = IMAGE.movedim(-1, 1) + + width_B = int(TUPLE[0]) + height_B = int(TUPLE[1]) + + width = width_B + height = height_B + + if side == "Width": + heigh_ratio = height_B / width_B + width = side_length + height = heigh_ratio * width + elif side == "Height": + width_ratio = width_B / height_B + height = side_length + width = width_ratio * height + + width = math.ceil(width) + height = math.ceil(height) + + cls = comfy.utils.common_upscale(samples, width, height, upscale_method, crop) + cls = cls.movedim(1, -1) + return (cls, (width, height), ) + + +class LatentScale_Ratio: + scale_methods = (["nearest-exact", "bilinear", "area"],) + crop_methods = (["disabled", "center"],) + + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "LATENT": (type.LATENT,), + "TUPLE": (type.TUPLE,), + "modifier": field.FLOAT, + "scale_method": cls.scale_methods, + "crop": cls.crop_methods, + } + } + + RETURN_TYPES = (type.LATENT, type.TUPLE,) + FUNCTION = "scale" + CATEGORY = TREE_LATENTS + + def scale(self, LATENT, scale_method, crop, modifier, TUPLE): + + width = int(TUPLE[0] * modifier) + height = int(TUPLE[1] * modifier) + + cls = LATENT.copy() + cls["samples"] = comfy.utils.common_upscale(LATENT["samples"], width // 8, height // 8, scale_method, crop) + return (cls, (width, height),) + + +class LatentScale_Side: + upscale_methods = ["nearest-exact", "bilinear", "area"] + crop_methods = ["disabled", "center"] + + def __init__(self) -> None: + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "LATENT": (type.LATENT,), + "TUPLE": (type.TUPLE,), + "side_length": field.INT, + "side": (["Width", "Height"],), + "scale_method": (cls.upscale_methods,), + "crop": (cls.crop_methods,)}} + + RETURN_TYPES = (type.LATENT, type.TUPLE,) + FUNCTION = "upscale" + + CATEGORY = TREE_LATENTS + + def upscale(self, LATENT, scale_method, TUPLE, side_length, side, crop): + width_B = int(TUPLE[0]) + height_B = int(TUPLE[1]) + + width = width_B + height = height_B + + if side == "Width": + heigh_ratio = height_B / width_B + width = side_length + height = heigh_ratio * width + elif side == "Height": + width_ratio = width_B / height_B + height = side_length + width = width_ratio * height + + width = math.ceil(width) + height = math.ceil(height) + + cls = LATENT.copy() + cls["samples"] = comfy.utils.common_upscale(LATENT["samples"], width // 8, height // 8, scale_method, crop) + return (cls, (width, height),) \ No newline at end of file diff --git a/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/tree.py b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/tree.py new file mode 100644 index 0000000000000000000000000000000000000000..73dbeca1052aa9a8b5adc42aae7af17d90b37825 --- /dev/null +++ b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/tree.py @@ -0,0 +1,13 @@ +TREE_MAIN = "Derfuu_Nodes" + +TREE_VARIABLE = TREE_MAIN + "/Variables" +TREE_TUPLES = TREE_MAIN + "/Tuples" +TREE_MATH = TREE_MAIN + "/Math" +TREE_FUNCTIONS = TREE_MAIN + "/Functions" +TREE_TRIGONOMETRY = TREE_MATH + "/Trigonometry" +TREE_MODDED = TREE_MAIN + "/Modded nodes" + +TREE_IMAGES = TREE_MODDED + "/Image" +TREE_LATENTS = TREE_MODDED + "/Latent" + +TREE_DEBUG = TREE_MAIN + "/Debug" \ No newline at end of file diff --git a/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/trigonNodes.py b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/trigonNodes.py new file mode 100644 index 0000000000000000000000000000000000000000..fc061661b7301f41e4f8d5d2fd97d422b56f5e55 --- /dev/null +++ b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/trigonNodes.py @@ -0,0 +1,87 @@ +import custom_nodes.Derfuu_Nodes.types as type +from custom_nodes.Derfuu_Nodes.tree import TREE_TRIGONOMETRY + +import math + +class SinNode: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(self): + return { + "required": { + "FLOAT": (type.FLOAT,), + "INPUT_TYPE": (["RAD", "DEG"],), + "arcSin": ([False, True],) + } + } + + RETURN_TYPES = (type.FLOAT,) + FUNCTION = "get_value" + CATEGORY = TREE_TRIGONOMETRY + + def get_value(self, FLOAT, INPUT_TYPE="RAD", arcSin=False): + if INPUT_TYPE == "DEG": + FLOAT = math.radians(FLOAT) + if arcSin == True: + FLOAT = math.asin(FLOAT) + else: + FLOAT = math.sin(FLOAT) + return (FLOAT,) + + +class CosNode: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(self): + return { + "required": { + "FLOAT": (type.FLOAT,), + "INPUT_TYPE": (["RAD", "DEG"],), + "arcCos": ([False, True],) + } + } + + RETURN_TYPES = (type.FLOAT,) + FUNCTION = "get_value" + CATEGORY = TREE_TRIGONOMETRY + + def get_value(self, FLOAT, INPUT_TYPE="RAD", arcCos=False): + if INPUT_TYPE == "DEG": + FLOAT = math.radians(FLOAT) + if arcCos == True: + FLOAT = math.acos(FLOAT) + else: + FLOAT = math.cos(FLOAT) + return (FLOAT,) + + +class tgNode: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(self): + return { + "required": { + "FLOAT": (type.FLOAT,), + "INPUT_TYPE": (["RAD", "DEG"],), + "arcTan": ([False, True],) + } + } + + RETURN_TYPES = (type.FLOAT,) + FUNCTION = "get_value" + CATEGORY = TREE_TRIGONOMETRY + + def get_value(self, FLOAT, INPUT_TYPE="RAD", arcTan=False): + if INPUT_TYPE == "DEG": + FLOAT = math.radians(FLOAT) + if arcTan == True: + FLOAT = math.atan(FLOAT) + else: + FLOAT = math.tan(FLOAT) + return (FLOAT,) \ No newline at end of file diff --git a/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/typeNodes.py b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/typeNodes.py new file mode 100644 index 0000000000000000000000000000000000000000..d31d48929e364dafff90b1cca1898d2d5269e13b --- /dev/null +++ b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/typeNodes.py @@ -0,0 +1,130 @@ +import math +import custom_nodes.Derfuu_Nodes.types as type +import custom_nodes.Derfuu_Nodes.fields as field +from custom_nodes.Derfuu_Nodes.tree import TREE_VARIABLE + +class FloatNode: + def __init__(self) -> None: + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "VALUE": field.FLOAT, + }, + } + + RETURN_TYPES = (type.FLOAT,) + CATEGORY = TREE_VARIABLE + FUNCTION = "get_value" + + def get_value(self, VALUE): + return (VALUE,) + + +class IntegerNode: + def __init__(self) -> None: + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "VALUE": field.INT, + }, + } + + RETURN_TYPES = (type.INT,) + CATEGORY = TREE_VARIABLE + FUNCTION = "get_value" + + def get_value(self, VALUE): + return (VALUE,) + + +class TupleNode: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "FLOAT_A": field.FLOAT, + "FLOAT_B": field.FLOAT, + "Ceil2Int": ([False, True],), + } + } + + RETURN_TYPES = (type.TUPLE,) + CATEGORY = TREE_VARIABLE + + FUNCTION = 'get_value' + + def get_value(self, FLOAT_A, FLOAT_B, Ceil2Int="false"): + if Ceil2Int == "true": + FLOAT_A = math.ceil(FLOAT_A) + FLOAT_B = math.ceil(FLOAT_B) + return ((FLOAT_A, FLOAT_B),) + + +class StringNode: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "VALUE": field.STRING, + } + } + + RETURN_TYPES = (type.STRING,) + FUNCTION = "get_value" + CATEGORY = TREE_VARIABLE + + def get_value(self, VALUE): + return (VALUE,) + + +class MultilineStringNode: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "VALUE": field.STRING_ML, + } + } + + RETURN_TYPES = (type.STRING,) + FUNCTION = "get_value" + CATEGORY = TREE_VARIABLE + + def get_value(self, VALUE): + return (VALUE,) + + +# class Any: +# def __init__(self): +# pass +# +# @classmethod +# def INPUT_TYPES(cls): +# return { +# "required": { +# "VALUE": (type.STRING,), +# } +# } +# +# RETURN_TYPES = (type.ABS,) +# CATEGORY = TREE_VARIABLE +# +# FUNCTION = 'get_value' +# +# def get_value(self, VALUE): +# return (VALUE,) \ No newline at end of file diff --git a/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/types.py b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/types.py new file mode 100644 index 0000000000000000000000000000000000000000..c423653831151adf82b2de4401e23156fbafffbe --- /dev/null +++ b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes/types.py @@ -0,0 +1,7 @@ +FLOAT = "FlOAT" +INT = "INTEGER" +TUPLE = "TUPLE" +STRING = "STRING" +LATENT = "LATENT" +IMAGE = "IMAGE" +ABS = "ANY" \ No newline at end of file diff --git a/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes_02.py b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes_02.py new file mode 100644 index 0000000000000000000000000000000000000000..2e90087aff3f88646992d0fa14240cc332cf6dfe --- /dev/null +++ b/comfyuiDerfuuMathAnd_derfuuNodes02/Derfuu_Nodes_02.py @@ -0,0 +1,64 @@ +import custom_nodes.Derfuu_Nodes.typeNodes as TypeNodes +import custom_nodes.Derfuu_Nodes.mathNodes as MathNodes +import custom_nodes.Derfuu_Nodes.functionsNodes as FunctionNodes +import custom_nodes.Derfuu_Nodes.moddedNodes as ModdedNodes +import custom_nodes.Derfuu_Nodes.debugNodes as Debug +import custom_nodes.Derfuu_Nodes.trigonNodes as TrigYNodes + + +class emptyNode: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(self): + return { + "required": { + + } + } + + RETURN_TYPES = 0 + FUNCTION = "get_value" + CATEGORY = "ABS" + + def get_value(self, ): + return (None,) + + +NODE_CLASS_MAPPINGS = { + "FloatNode_DF": TypeNodes.FloatNode, + "IntegerNode_DF": TypeNodes.IntegerNode, + "StringNode_DF": TypeNodes.StringNode, + "TupleNode_DF": TypeNodes.TupleNode, + "MultilineStringNode_DF": TypeNodes.MultilineStringNode, + # "ABS_DF": TypeNodes.Any, + + "Float2Tuple_DF": FunctionNodes.Float2Tuple, + "Tuple2Float_DF": FunctionNodes.Tuple2Float, + "Int2Float_DF": FunctionNodes.Int2Float, + "CeilNode_DF": FunctionNodes.CeilNode, + "FloorNode_DF": FunctionNodes.FloorNode, + "GetLatentSize_DF": FunctionNodes.GetLatentSize, + "GetImageSize_DF": FunctionNodes.GetImageSize, + + "SumNode_DF": MathNodes.SumNode, + "SubtractNode_DF": MathNodes.SubtractNode, + "MultiplyNode_DF": MathNodes.MultiplyNode, + "DivideNode_DF": MathNodes.DivideNode, + "PowNode_DF": MathNodes.PowNode, + "SquareRootNode_DF": MathNodes.SquareRootNode, + + "sin_DF": TrigYNodes.SinNode, + "cos_DF": TrigYNodes.CosNode, + "tg_DF": TrigYNodes.tgNode, + + "EmptyLatentImage_DF": ModdedNodes.EmptyLatentImage, + "LatentScale_Ratio_DF": ModdedNodes.LatentScale_Ratio, + "LatentScale_Side_DF": ModdedNodes.LatentScale_Side, + "ImageScale_Ratio_DF": ModdedNodes.ImageScale_Ratio, + "ImageScale_Side_DF": ModdedNodes.ImageScale_Side, + + # "DebugPrint_DF": Debug.baseDebugNode, + # "ExtDebugPrint_DF": Debug.extendedDebugNode, +} diff --git a/wasNodeSuitesComfyui_externalSeedKsampler/Samplers_WAS.py b/wasNodeSuitesComfyui_externalSeedKsampler/Samplers_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..f3720774685d44fdee6a7ca0b53f2908579b4d4b --- /dev/null +++ b/wasNodeSuitesComfyui_externalSeedKsampler/Samplers_WAS.py @@ -0,0 +1,64 @@ + # By WASasquatch (Discord: WAS#0263) + +import sys, os +import numpy as np + +sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(__file__)), "comfy")) +sys.path.append('../ComfyUI') + +import comfy.samplers +import comfy.sd +import comfy.utils + +import comfy_extras.clip_vision + +import model_management +import importlib + +import nodes + +class WAS_KSampler: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"model": ("MODEL",), + "seed": ("SEED",), + "steps": ("INT", {"default": 20, "min": 1, "max": 10000}), + "cfg": ("FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0}), + "sampler_name": (comfy.samplers.KSampler.SAMPLERS, ), + "scheduler": (comfy.samplers.KSampler.SCHEDULERS, ), + "positive": ("CONDITIONING", ), + "negative": ("CONDITIONING", ), + "latent_image": ("LATENT", ), + "denoise": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}), + } + } + + RETURN_TYPES = ("LATENT",) + FUNCTION = "sample" + + CATEGORY = "sampling" + + def sample(self, model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=1.0): + return nodes.common_ksampler(model, seed['seed'], steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) + +class WAS_Seed: + @classmethod + def INPUT_TYPES(s): + return {"required": + {"seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff})} + } + + + RETURN_TYPES = ("SEED",) + FUNCTION = "seed" + + CATEGORY = "constant" + + def seed(self, seed): + return ( {"seed": seed,}, ) + +NODE_CLASS_MAPPINGS = { + "KSampler (WAS)": WAS_KSampler, + "Seed": WAS_Seed +} diff --git a/wasNodeSuitesComfyui_externalSeedKsampler/WAS_License.txt b/wasNodeSuitesComfyui_externalSeedKsampler/WAS_License.txt new file mode 100644 index 0000000000000000000000000000000000000000..23eca8953892846fc7a16fa5d290f449b058cbd6 --- /dev/null +++ b/wasNodeSuitesComfyui_externalSeedKsampler/WAS_License.txt @@ -0,0 +1,7 @@ +Copyright 2023 Jordan Thompson (WASasquatch) + +Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. \ No newline at end of file diff --git a/wasNodeSuitesComfyui_filtersSuiteV1/Canny_Filter_WAS.py b/wasNodeSuitesComfyui_filtersSuiteV1/Canny_Filter_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..29b6a73424e02514d89e37b9d5d193687e9dc503 --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV1/Canny_Filter_WAS.py @@ -0,0 +1,147 @@ +# By WASasquatch (Discord: WAS#0263) + +import torch, os +import numpy as np + +class WAS_Canny_Filter: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + "enable_threshold": (['false', 'true'],), + "threshold_low": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01}), + "threshold_high": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "canny_filter" + + CATEGORY = "WAS" + + def canny_filter(self, image, threshold_low, threshold_high, enable_threshold): + + self.install_opencv() + + if enable_threshold == 'false': + threshold_low = None + threshold_high = None + + image_canny = self.Canny_detector(255. * image.cpu().numpy().squeeze(), threshold_low, threshold_high) + + return ( torch.from_numpy( image_canny )[None,], ) + + # Defining the Canny Detector function + # From: https://www.geeksforgeeks.org/implement-canny-edge-detector-in-python-using-opencv/ + + # here weak_th and strong_th are thresholds for + # double thresholding step + def Canny_detector(self, img, weak_th = None, strong_th = None): + + import cv2 + + # conversion of image to grayscale + img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) + + # Noise reduction step + img = cv2.GaussianBlur(img, (5, 5), 1.4) + + # Calculating the gradients + gx = cv2.Sobel(np.float32(img), cv2.CV_64F, 1, 0, 3) + gy = cv2.Sobel(np.float32(img), cv2.CV_64F, 0, 1, 3) + + # Conversion of Cartesian coordinates to polar + mag, ang = cv2.cartToPolar(gx, gy, angleInDegrees = True) + + # setting the minimum and maximum thresholds + # for double thresholding + mag_max = np.max(mag) + if not weak_th:weak_th = mag_max * 0.1 + if not strong_th:strong_th = mag_max * 0.5 + + # getting the dimensions of the input image + height, width = img.shape + + # Looping through every pixel of the grayscale + # image + for i_x in range(width): + for i_y in range(height): + + grad_ang = ang[i_y, i_x] + grad_ang = abs(grad_ang-180) if abs(grad_ang)>180 else abs(grad_ang) + + # selecting the neighbours of the target pixel + # according to the gradient direction + # In the x axis direction + if grad_ang<= 22.5: + neighb_1_x, neighb_1_y = i_x-1, i_y + neighb_2_x, neighb_2_y = i_x + 1, i_y + + # top right (diagonal-1) direction + elif grad_ang>22.5 and grad_ang<=(22.5 + 45): + neighb_1_x, neighb_1_y = i_x-1, i_y-1 + neighb_2_x, neighb_2_y = i_x + 1, i_y + 1 + + # In y-axis direction + elif grad_ang>(22.5 + 45) and grad_ang<=(22.5 + 90): + neighb_1_x, neighb_1_y = i_x, i_y-1 + neighb_2_x, neighb_2_y = i_x, i_y + 1 + + # top left (diagonal-2) direction + elif grad_ang>(22.5 + 90) and grad_ang<=(22.5 + 135): + neighb_1_x, neighb_1_y = i_x-1, i_y + 1 + neighb_2_x, neighb_2_y = i_x + 1, i_y-1 + + # Now it restarts the cycle + elif grad_ang>(22.5 + 135) and grad_ang<=(22.5 + 180): + neighb_1_x, neighb_1_y = i_x-1, i_y + neighb_2_x, neighb_2_y = i_x + 1, i_y + + # Non-maximum suppression step + if width>neighb_1_x>= 0 and height>neighb_1_y>= 0: + if mag[i_y, i_x]neighb_2_x>= 0 and height>neighb_2_y>= 0: + if mag[i_y, i_x]grad_mag>= weak_th: + ids[i_y, i_x]= 1 + else: + ids[i_y, i_x]= 2 + + + # finally returning the magnitude of + # gradients of edges + return mag + + def install_opencv(self): + if 'opencv-python' not in self.packages(): + print("Installing CV2...") + subprocess.check_call([sys.executable, '-m', 'pip', '-q', 'install', 'opencv-python']) + + def packages(self): + import sys, subprocess + return [r.decode().split('==')[0] for r in subprocess.check_output([sys.executable, '-m', 'pip', 'freeze']).split()] + +NODE_CLASS_MAPPINGS = { + "Canny Filter": WAS_Canny_Filter +} diff --git a/wasNodeSuitesComfyui_filtersSuiteV1/Image_Filters_WAS.py b/wasNodeSuitesComfyui_filtersSuiteV1/Image_Filters_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..5f80a0625e1c93159ff174173b7f64e34dc1b60b --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV1/Image_Filters_WAS.py @@ -0,0 +1,78 @@ +# By WASasquatch (Discord: WAS#0263) + +import torch +import numpy as np +from PIL import Image, ImageFilter, ImageEnhance + +class WAS_Image_Filters: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + "brightness": ("FLOAT", {"default": 0.0, "min": -1.0, "max": 1.0, "step": 0.01}), + "contrast": ("FLOAT", {"default": 1.0, "min": -1.0, "max": 2.0, "step": 0.01}), + "saturation": ("FLOAT", {"default": 1.0, "min": -1.0, "max": 5.0, "step": 0.01}), + "sharpness": ("FLOAT", {"default": 1.0, "min": -1.0, "max": 5.0, "step": 0.01}), + "edge_enhance": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01}), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "image_filters" + + CATEGORY = "WAS" + + def image_filters(self, image, brightness, contrast, saturation, sharpness, edge_enhance): + + pil_image = None + + # Apply NP Adjustments + if brightness > 0.0 or brightness < 0.0: + # Apply brightness + image = np.clip(image + brightness, 0.0, 1.0) + + if contrast > 1.0 or contrast < 1.0: + # Apply contrast + image = np.clip(image * contrast, 0.0, 1.0) + + # Apply PIL Adjustments + if saturation > 1.0 or saturation < 1.0: + #PIL Image + pil_image = self.tensor2pil(image) + # Apply saturation + pil_image = ImageEnhance.Color(pil_image).enhance(saturation) + + if sharpness > 1.0 or sharpness < 1.0: + # Assign or create PIL Image + pil_image = pil_image if pil_image else self.tensor2pil(image) + # Apply sharpness + pil_image = ImageEnhance.Sharpness(pil_image).enhance(sharpness) + + if edge_enhance > 0.0: + # Assign or create PIL Image + pil_image = pil_image if pil_image else self.tensor2pil(image) + # Edge Enhancement + edge_enhanced_img = pil_image.filter(ImageFilter.EDGE_ENHANCE_MORE) + # Blend Mask + blend_mask = Image.new(mode = "L", size = pil_image.size, color = (round(edge_enhance * 255))) + # Composite Original and Enhanced Version + pil_image = Image.composite(pil_image, edge_enhanced_img, blend_mask) + # Clean-up + del blend_mask, edge_enhanced_img + + # Output image + out_image = ( torch.from_numpy(np.array(pil_image).astype(np.float32) / 255.0).unsqueeze(0) + if pil_image else image ) + + return ( out_image, ) + + def tensor2pil(self, image): + return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8)) + +NODE_CLASS_MAPPINGS = { + "Image Filters": WAS_Image_Filters +} diff --git a/wasNodeSuitesComfyui_filtersSuiteV1/WAS_License.txt b/wasNodeSuitesComfyui_filtersSuiteV1/WAS_License.txt new file mode 100644 index 0000000000000000000000000000000000000000..23eca8953892846fc7a16fa5d290f449b058cbd6 --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV1/WAS_License.txt @@ -0,0 +1,7 @@ +Copyright 2023 Jordan Thompson (WASasquatch) + +Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. \ No newline at end of file diff --git a/wasNodeSuitesComfyui_filtersSuiteV2/Canny_Filter_WAS.py b/wasNodeSuitesComfyui_filtersSuiteV2/Canny_Filter_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..29b6a73424e02514d89e37b9d5d193687e9dc503 --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV2/Canny_Filter_WAS.py @@ -0,0 +1,147 @@ +# By WASasquatch (Discord: WAS#0263) + +import torch, os +import numpy as np + +class WAS_Canny_Filter: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + "enable_threshold": (['false', 'true'],), + "threshold_low": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01}), + "threshold_high": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "canny_filter" + + CATEGORY = "WAS" + + def canny_filter(self, image, threshold_low, threshold_high, enable_threshold): + + self.install_opencv() + + if enable_threshold == 'false': + threshold_low = None + threshold_high = None + + image_canny = self.Canny_detector(255. * image.cpu().numpy().squeeze(), threshold_low, threshold_high) + + return ( torch.from_numpy( image_canny )[None,], ) + + # Defining the Canny Detector function + # From: https://www.geeksforgeeks.org/implement-canny-edge-detector-in-python-using-opencv/ + + # here weak_th and strong_th are thresholds for + # double thresholding step + def Canny_detector(self, img, weak_th = None, strong_th = None): + + import cv2 + + # conversion of image to grayscale + img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) + + # Noise reduction step + img = cv2.GaussianBlur(img, (5, 5), 1.4) + + # Calculating the gradients + gx = cv2.Sobel(np.float32(img), cv2.CV_64F, 1, 0, 3) + gy = cv2.Sobel(np.float32(img), cv2.CV_64F, 0, 1, 3) + + # Conversion of Cartesian coordinates to polar + mag, ang = cv2.cartToPolar(gx, gy, angleInDegrees = True) + + # setting the minimum and maximum thresholds + # for double thresholding + mag_max = np.max(mag) + if not weak_th:weak_th = mag_max * 0.1 + if not strong_th:strong_th = mag_max * 0.5 + + # getting the dimensions of the input image + height, width = img.shape + + # Looping through every pixel of the grayscale + # image + for i_x in range(width): + for i_y in range(height): + + grad_ang = ang[i_y, i_x] + grad_ang = abs(grad_ang-180) if abs(grad_ang)>180 else abs(grad_ang) + + # selecting the neighbours of the target pixel + # according to the gradient direction + # In the x axis direction + if grad_ang<= 22.5: + neighb_1_x, neighb_1_y = i_x-1, i_y + neighb_2_x, neighb_2_y = i_x + 1, i_y + + # top right (diagonal-1) direction + elif grad_ang>22.5 and grad_ang<=(22.5 + 45): + neighb_1_x, neighb_1_y = i_x-1, i_y-1 + neighb_2_x, neighb_2_y = i_x + 1, i_y + 1 + + # In y-axis direction + elif grad_ang>(22.5 + 45) and grad_ang<=(22.5 + 90): + neighb_1_x, neighb_1_y = i_x, i_y-1 + neighb_2_x, neighb_2_y = i_x, i_y + 1 + + # top left (diagonal-2) direction + elif grad_ang>(22.5 + 90) and grad_ang<=(22.5 + 135): + neighb_1_x, neighb_1_y = i_x-1, i_y + 1 + neighb_2_x, neighb_2_y = i_x + 1, i_y-1 + + # Now it restarts the cycle + elif grad_ang>(22.5 + 135) and grad_ang<=(22.5 + 180): + neighb_1_x, neighb_1_y = i_x-1, i_y + neighb_2_x, neighb_2_y = i_x + 1, i_y + + # Non-maximum suppression step + if width>neighb_1_x>= 0 and height>neighb_1_y>= 0: + if mag[i_y, i_x]neighb_2_x>= 0 and height>neighb_2_y>= 0: + if mag[i_y, i_x]grad_mag>= weak_th: + ids[i_y, i_x]= 1 + else: + ids[i_y, i_x]= 2 + + + # finally returning the magnitude of + # gradients of edges + return mag + + def install_opencv(self): + if 'opencv-python' not in self.packages(): + print("Installing CV2...") + subprocess.check_call([sys.executable, '-m', 'pip', '-q', 'install', 'opencv-python']) + + def packages(self): + import sys, subprocess + return [r.decode().split('==')[0] for r in subprocess.check_output([sys.executable, '-m', 'pip', 'freeze']).split()] + +NODE_CLASS_MAPPINGS = { + "Canny Filter": WAS_Canny_Filter +} diff --git a/wasNodeSuitesComfyui_filtersSuiteV2/Image_Blend_WAS.py b/wasNodeSuitesComfyui_filtersSuiteV2/Image_Blend_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..0d479365caec6179e7d12c47b7ea970345c91c41 --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV2/Image_Blend_WAS.py @@ -0,0 +1,51 @@ +# By WASasquatch (Discord: WAS#0263) + +import torch, sys, subprocess +import numpy as np +from PIL import Image + +class WAS_Image_Blend: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image_a": ("IMAGE",), + "image_b": ("IMAGE",), + "blend_percentage": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "image_blend" + + CATEGORY = "WAS" + + def image_blend(self, image_a, image_b, blend_percentage): + + # Convert images to PIL + img_a = self.tensor2pil(image_a) + img_b = self.tensor2pil(image_b) + + # Blend image + blend_mask = Image.new(mode = "L", size = img_a.size, color = (round(blend_percentage * 255))) + img_result = Image.composite(img_a, img_b, blend_mask) + + del img_a, img_b, blend_mask + + return ( torch.from_numpy(np.array(img_result).astype(np.float32) / 255.0).unsqueeze(0), ) + + # Convert tesnor to PIL image + def tensor2pil(self, image): + return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8)) + + # Freeze packages + def packages(self): + import sys, subprocess + return [r.decode().split('==')[0] for r in subprocess.check_output([sys.executable, '-m', 'pip', 'freeze']).split()] + +NODE_CLASS_MAPPINGS = { + "Image Blend": WAS_Image_Blend +} diff --git a/wasNodeSuitesComfyui_filtersSuiteV2/Image_Combine_WAS.py b/wasNodeSuitesComfyui_filtersSuiteV2/Image_Combine_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..fee8ea634d933afbdc0b882ef50a8c605514aca9 --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV2/Image_Combine_WAS.py @@ -0,0 +1,103 @@ +# By WASasquatch (Discord: WAS#0263) + +import torch, sys, subprocess +import numpy as np +from PIL import Image + +class WAS_Image_Combine: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image_a": ("IMAGE",), + "image_b": ("IMAGE",), + "mode": ([ + "add", + "color", + "color_burn", + "color_dodge", + "darken", + #"difference", + #"exclusion", + "hard_light", + "hue", + "lighten", + "multiply", + "overlay", + "screen", + "soft_light" + ],), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "image_combine" + + CATEGORY = "WAS" + + def image_combine(self, image_a, image_b, mode): + + # Install Pilgram + if 'pilgram' not in self.packages(): + print("Installing Pilgram...") + subprocess.check_call([sys.executable, '-m', 'pip', '-q', 'install', 'pilgram']) + + # Import Pilgram module + import pilgram + + # Convert images to PIL + img_a = self.tensor2pil(image_a) + img_b = self.tensor2pil(image_b) + + # Apply blending + match mode: + case "color": + out_image = pilgram.css.blending.color(img_a, img_b) + case "color_burn": + out_image = pilgram.css.blending.color_burn(img_a, img_b) + case "color_dodge": + out_image = pilgram.css.blending.color_dodge(img_a, img_b) + case "darken": + out_image = pilgram.css.blending.darken(img_a, img_b) + case "difference": + out_image = pilgram.css.blending.difference(img_a, img_b) + case "exclusion": + out_image = pilgram.css.blending.exclusion(img_a, img_b) + case "hard_light": + out_image = pilgram.css.blending.hard_light(img_a, img_b) + case "hue": + out_image = pilgram.css.blending.hue(img_a, img_b) + case "lighten": + out_image = pilgram.css.blending.lighten(img_a, img_b) + case "multiply": + out_image = pilgram.css.blending.multiply(img_a, img_b) + case "add": + out_image = pilgram.css.blending.normal(img_a, img_b) + case "overlay": + out_image = pilgram.css.blending.overlay(img_a, img_b) + case "screen": + out_image = pilgram.css.blending.screen(img_a, img_b) + case "soft_light": + out_image = pilgram.css.blending.soft_light(img_a, img_b) + case _: + out_image = img_a + + out_image = out_image.convert("RGB") + + return ( torch.from_numpy(np.array(out_image).astype(np.float32) / 255.0).unsqueeze(0), ) + + # Convert tesnro to PIL image + def tensor2pil(self, image): + return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8)) + + # Freeze packages + def packages(self): + import sys, subprocess + return [r.decode().split('==')[0] for r in subprocess.check_output([sys.executable, '-m', 'pip', 'freeze']).split()] + +NODE_CLASS_MAPPINGS = { + "Image Combine": WAS_Image_Combine +} diff --git a/wasNodeSuitesComfyui_filtersSuiteV2/Image_Filters_WAS.py b/wasNodeSuitesComfyui_filtersSuiteV2/Image_Filters_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..f21892991fed0ddbf84e6c6e224711b843499561 --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV2/Image_Filters_WAS.py @@ -0,0 +1,93 @@ +# By WASasquatch (Discord: WAS#0263) + +import torch +import numpy as np +from PIL import Image, ImageFilter, ImageEnhance + +class WAS_Image_Filters: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + "brightness": ("FLOAT", {"default": 0.0, "min": -1.0, "max": 1.0, "step": 0.01}), + "contrast": ("FLOAT", {"default": 1.0, "min": -1.0, "max": 2.0, "step": 0.01}), + "saturation": ("FLOAT", {"default": 1.0, "min": -1.0, "max": 5.0, "step": 0.01}), + "sharpness": ("FLOAT", {"default": 1.0, "min": -5.0, "max": 5.0, "step": 0.01}), + "blur": ("INT", {"default": 0, "min": 0, "max": 16, "step": 1}), + "gaussian_blur": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 255.0, "step": 0.1}), + "edge_enhance": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01}), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "image_filters" + + CATEGORY = "WAS" + + def image_filters(self, image, brightness, contrast, saturation, sharpness, blur, gaussian_blur, edge_enhance): + + pil_image = None + + # Apply NP Adjustments + if brightness > 0.0 or brightness < 0.0: + # Apply brightness + image = np.clip(image + brightness, 0.0, 1.0) + + if contrast > 1.0 or contrast < 1.0: + # Apply contrast + image = np.clip(image * contrast, 0.0, 1.0) + + # Apply PIL Adjustments + if saturation > 1.0 or saturation < 1.0: + #PIL Image + pil_image = self.tensor2pil(image) + # Apply saturation + pil_image = ImageEnhance.Color(pil_image).enhance(saturation) + + if sharpness > 1.0 or sharpness < 1.0: + # Assign or create PIL Image + pil_image = pil_image if pil_image else self.tensor2pil(image) + # Apply sharpness + pil_image = ImageEnhance.Sharpness(pil_image).enhance(sharpness) + + if blur > 0: + # Assign or create PIL Image + pil_image = pil_image if pil_image else self.tensor2pil(image) + # Apply blur + for _ in range(blur): + pil_image = pil_image.filter(ImageFilter.BLUR) + + if gaussian_blur > 0.0: + # Assign or create PIL Image + pil_image = pil_image if pil_image else self.tensor2pil(image) + # Apply Gaussian blur + pil_image = pil_image.filter(ImageFilter.GaussianBlur(radius = gaussian_blur)) + + if edge_enhance > 0.0: + # Assign or create PIL Image + pil_image = pil_image if pil_image else self.tensor2pil(image) + # Edge Enhancement + edge_enhanced_img = pil_image.filter(ImageFilter.EDGE_ENHANCE_MORE) + # Blend Mask + blend_mask = Image.new(mode = "L", size = pil_image.size, color = (round(edge_enhance * 255))) + # Composite Original and Enhanced Version + pil_image = Image.composite(pil_image, edge_enhanced_img, blend_mask) + # Clean-up + del blend_mask, edge_enhanced_img + + # Output image + out_image = ( torch.from_numpy(np.array(pil_image).astype(np.float32) / 255.0).unsqueeze(0) + if pil_image else image ) + + return ( out_image, ) + + def tensor2pil(self, image): + return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8)) + +NODE_CLASS_MAPPINGS = { + "Image Filters": WAS_Image_Filters +} diff --git a/wasNodeSuitesComfyui_filtersSuiteV2/WAS_License.txt b/wasNodeSuitesComfyui_filtersSuiteV2/WAS_License.txt new file mode 100644 index 0000000000000000000000000000000000000000..23eca8953892846fc7a16fa5d290f449b058cbd6 --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV2/WAS_License.txt @@ -0,0 +1,7 @@ +Copyright 2023 Jordan Thompson (WASasquatch) + +Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. \ No newline at end of file diff --git a/wasNodeSuitesComfyui_filtersSuiteV3/Canny_Filter_WAS.py b/wasNodeSuitesComfyui_filtersSuiteV3/Canny_Filter_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..29b6a73424e02514d89e37b9d5d193687e9dc503 --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV3/Canny_Filter_WAS.py @@ -0,0 +1,147 @@ +# By WASasquatch (Discord: WAS#0263) + +import torch, os +import numpy as np + +class WAS_Canny_Filter: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + "enable_threshold": (['false', 'true'],), + "threshold_low": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01}), + "threshold_high": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "canny_filter" + + CATEGORY = "WAS" + + def canny_filter(self, image, threshold_low, threshold_high, enable_threshold): + + self.install_opencv() + + if enable_threshold == 'false': + threshold_low = None + threshold_high = None + + image_canny = self.Canny_detector(255. * image.cpu().numpy().squeeze(), threshold_low, threshold_high) + + return ( torch.from_numpy( image_canny )[None,], ) + + # Defining the Canny Detector function + # From: https://www.geeksforgeeks.org/implement-canny-edge-detector-in-python-using-opencv/ + + # here weak_th and strong_th are thresholds for + # double thresholding step + def Canny_detector(self, img, weak_th = None, strong_th = None): + + import cv2 + + # conversion of image to grayscale + img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) + + # Noise reduction step + img = cv2.GaussianBlur(img, (5, 5), 1.4) + + # Calculating the gradients + gx = cv2.Sobel(np.float32(img), cv2.CV_64F, 1, 0, 3) + gy = cv2.Sobel(np.float32(img), cv2.CV_64F, 0, 1, 3) + + # Conversion of Cartesian coordinates to polar + mag, ang = cv2.cartToPolar(gx, gy, angleInDegrees = True) + + # setting the minimum and maximum thresholds + # for double thresholding + mag_max = np.max(mag) + if not weak_th:weak_th = mag_max * 0.1 + if not strong_th:strong_th = mag_max * 0.5 + + # getting the dimensions of the input image + height, width = img.shape + + # Looping through every pixel of the grayscale + # image + for i_x in range(width): + for i_y in range(height): + + grad_ang = ang[i_y, i_x] + grad_ang = abs(grad_ang-180) if abs(grad_ang)>180 else abs(grad_ang) + + # selecting the neighbours of the target pixel + # according to the gradient direction + # In the x axis direction + if grad_ang<= 22.5: + neighb_1_x, neighb_1_y = i_x-1, i_y + neighb_2_x, neighb_2_y = i_x + 1, i_y + + # top right (diagonal-1) direction + elif grad_ang>22.5 and grad_ang<=(22.5 + 45): + neighb_1_x, neighb_1_y = i_x-1, i_y-1 + neighb_2_x, neighb_2_y = i_x + 1, i_y + 1 + + # In y-axis direction + elif grad_ang>(22.5 + 45) and grad_ang<=(22.5 + 90): + neighb_1_x, neighb_1_y = i_x, i_y-1 + neighb_2_x, neighb_2_y = i_x, i_y + 1 + + # top left (diagonal-2) direction + elif grad_ang>(22.5 + 90) and grad_ang<=(22.5 + 135): + neighb_1_x, neighb_1_y = i_x-1, i_y + 1 + neighb_2_x, neighb_2_y = i_x + 1, i_y-1 + + # Now it restarts the cycle + elif grad_ang>(22.5 + 135) and grad_ang<=(22.5 + 180): + neighb_1_x, neighb_1_y = i_x-1, i_y + neighb_2_x, neighb_2_y = i_x + 1, i_y + + # Non-maximum suppression step + if width>neighb_1_x>= 0 and height>neighb_1_y>= 0: + if mag[i_y, i_x]neighb_2_x>= 0 and height>neighb_2_y>= 0: + if mag[i_y, i_x]grad_mag>= weak_th: + ids[i_y, i_x]= 1 + else: + ids[i_y, i_x]= 2 + + + # finally returning the magnitude of + # gradients of edges + return mag + + def install_opencv(self): + if 'opencv-python' not in self.packages(): + print("Installing CV2...") + subprocess.check_call([sys.executable, '-m', 'pip', '-q', 'install', 'opencv-python']) + + def packages(self): + import sys, subprocess + return [r.decode().split('==')[0] for r in subprocess.check_output([sys.executable, '-m', 'pip', 'freeze']).split()] + +NODE_CLASS_MAPPINGS = { + "Canny Filter": WAS_Canny_Filter +} diff --git a/wasNodeSuitesComfyui_filtersSuiteV3/Image_Blend_WAS.py b/wasNodeSuitesComfyui_filtersSuiteV3/Image_Blend_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..0d479365caec6179e7d12c47b7ea970345c91c41 --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV3/Image_Blend_WAS.py @@ -0,0 +1,51 @@ +# By WASasquatch (Discord: WAS#0263) + +import torch, sys, subprocess +import numpy as np +from PIL import Image + +class WAS_Image_Blend: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image_a": ("IMAGE",), + "image_b": ("IMAGE",), + "blend_percentage": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "image_blend" + + CATEGORY = "WAS" + + def image_blend(self, image_a, image_b, blend_percentage): + + # Convert images to PIL + img_a = self.tensor2pil(image_a) + img_b = self.tensor2pil(image_b) + + # Blend image + blend_mask = Image.new(mode = "L", size = img_a.size, color = (round(blend_percentage * 255))) + img_result = Image.composite(img_a, img_b, blend_mask) + + del img_a, img_b, blend_mask + + return ( torch.from_numpy(np.array(img_result).astype(np.float32) / 255.0).unsqueeze(0), ) + + # Convert tesnor to PIL image + def tensor2pil(self, image): + return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8)) + + # Freeze packages + def packages(self): + import sys, subprocess + return [r.decode().split('==')[0] for r in subprocess.check_output([sys.executable, '-m', 'pip', 'freeze']).split()] + +NODE_CLASS_MAPPINGS = { + "Image Blend": WAS_Image_Blend +} diff --git a/wasNodeSuitesComfyui_filtersSuiteV3/Image_Combine_WAS.py b/wasNodeSuitesComfyui_filtersSuiteV3/Image_Combine_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..fee8ea634d933afbdc0b882ef50a8c605514aca9 --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV3/Image_Combine_WAS.py @@ -0,0 +1,103 @@ +# By WASasquatch (Discord: WAS#0263) + +import torch, sys, subprocess +import numpy as np +from PIL import Image + +class WAS_Image_Combine: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image_a": ("IMAGE",), + "image_b": ("IMAGE",), + "mode": ([ + "add", + "color", + "color_burn", + "color_dodge", + "darken", + #"difference", + #"exclusion", + "hard_light", + "hue", + "lighten", + "multiply", + "overlay", + "screen", + "soft_light" + ],), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "image_combine" + + CATEGORY = "WAS" + + def image_combine(self, image_a, image_b, mode): + + # Install Pilgram + if 'pilgram' not in self.packages(): + print("Installing Pilgram...") + subprocess.check_call([sys.executable, '-m', 'pip', '-q', 'install', 'pilgram']) + + # Import Pilgram module + import pilgram + + # Convert images to PIL + img_a = self.tensor2pil(image_a) + img_b = self.tensor2pil(image_b) + + # Apply blending + match mode: + case "color": + out_image = pilgram.css.blending.color(img_a, img_b) + case "color_burn": + out_image = pilgram.css.blending.color_burn(img_a, img_b) + case "color_dodge": + out_image = pilgram.css.blending.color_dodge(img_a, img_b) + case "darken": + out_image = pilgram.css.blending.darken(img_a, img_b) + case "difference": + out_image = pilgram.css.blending.difference(img_a, img_b) + case "exclusion": + out_image = pilgram.css.blending.exclusion(img_a, img_b) + case "hard_light": + out_image = pilgram.css.blending.hard_light(img_a, img_b) + case "hue": + out_image = pilgram.css.blending.hue(img_a, img_b) + case "lighten": + out_image = pilgram.css.blending.lighten(img_a, img_b) + case "multiply": + out_image = pilgram.css.blending.multiply(img_a, img_b) + case "add": + out_image = pilgram.css.blending.normal(img_a, img_b) + case "overlay": + out_image = pilgram.css.blending.overlay(img_a, img_b) + case "screen": + out_image = pilgram.css.blending.screen(img_a, img_b) + case "soft_light": + out_image = pilgram.css.blending.soft_light(img_a, img_b) + case _: + out_image = img_a + + out_image = out_image.convert("RGB") + + return ( torch.from_numpy(np.array(out_image).astype(np.float32) / 255.0).unsqueeze(0), ) + + # Convert tesnro to PIL image + def tensor2pil(self, image): + return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8)) + + # Freeze packages + def packages(self): + import sys, subprocess + return [r.decode().split('==')[0] for r in subprocess.check_output([sys.executable, '-m', 'pip', 'freeze']).split()] + +NODE_CLASS_MAPPINGS = { + "Image Combine": WAS_Image_Combine +} diff --git a/wasNodeSuitesComfyui_filtersSuiteV3/Image_Edge_Detection_WAS.py b/wasNodeSuitesComfyui_filtersSuiteV3/Image_Edge_Detection_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..1b5efd60c73cd0b372ddce2bd3428ac59294cd5b --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV3/Image_Edge_Detection_WAS.py @@ -0,0 +1,48 @@ +# By WASasquatch (Discord: WAS#0263) + +import torch +import numpy as np +from PIL import Image, ImageFilter + +class WAS_Image_Edge: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + "mode": (["normal", "laplacian"],), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "image_edges" + + CATEGORY = "WAS" + + def image_edges(self, image, mode): + + # Convert image to PIL + image = self.tensor2pil(image) + + # Detect edges + match mode: + case "normal": + image = image.filter(ImageFilter.FIND_EDGES) + case "laplacian": + image = image.filter(ImageFilter.Kernel((3, 3), (-1, -1, -1, -1, 8, + -1, -1, -1, -1), 1, 0)) + case _: + image = image + + return ( torch.from_numpy(np.array(image).astype(np.float32) / 255.0).unsqueeze(0), ) + + # Convert tesnor to PIL image + def tensor2pil(self, image): + return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8)) + +NODE_CLASS_MAPPINGS = { + "Image Detect Edges": WAS_Image_Edge +} diff --git a/wasNodeSuitesComfyui_filtersSuiteV3/Image_Filters_WAS.py b/wasNodeSuitesComfyui_filtersSuiteV3/Image_Filters_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..f21892991fed0ddbf84e6c6e224711b843499561 --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV3/Image_Filters_WAS.py @@ -0,0 +1,93 @@ +# By WASasquatch (Discord: WAS#0263) + +import torch +import numpy as np +from PIL import Image, ImageFilter, ImageEnhance + +class WAS_Image_Filters: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + "brightness": ("FLOAT", {"default": 0.0, "min": -1.0, "max": 1.0, "step": 0.01}), + "contrast": ("FLOAT", {"default": 1.0, "min": -1.0, "max": 2.0, "step": 0.01}), + "saturation": ("FLOAT", {"default": 1.0, "min": -1.0, "max": 5.0, "step": 0.01}), + "sharpness": ("FLOAT", {"default": 1.0, "min": -5.0, "max": 5.0, "step": 0.01}), + "blur": ("INT", {"default": 0, "min": 0, "max": 16, "step": 1}), + "gaussian_blur": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 255.0, "step": 0.1}), + "edge_enhance": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01}), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "image_filters" + + CATEGORY = "WAS" + + def image_filters(self, image, brightness, contrast, saturation, sharpness, blur, gaussian_blur, edge_enhance): + + pil_image = None + + # Apply NP Adjustments + if brightness > 0.0 or brightness < 0.0: + # Apply brightness + image = np.clip(image + brightness, 0.0, 1.0) + + if contrast > 1.0 or contrast < 1.0: + # Apply contrast + image = np.clip(image * contrast, 0.0, 1.0) + + # Apply PIL Adjustments + if saturation > 1.0 or saturation < 1.0: + #PIL Image + pil_image = self.tensor2pil(image) + # Apply saturation + pil_image = ImageEnhance.Color(pil_image).enhance(saturation) + + if sharpness > 1.0 or sharpness < 1.0: + # Assign or create PIL Image + pil_image = pil_image if pil_image else self.tensor2pil(image) + # Apply sharpness + pil_image = ImageEnhance.Sharpness(pil_image).enhance(sharpness) + + if blur > 0: + # Assign or create PIL Image + pil_image = pil_image if pil_image else self.tensor2pil(image) + # Apply blur + for _ in range(blur): + pil_image = pil_image.filter(ImageFilter.BLUR) + + if gaussian_blur > 0.0: + # Assign or create PIL Image + pil_image = pil_image if pil_image else self.tensor2pil(image) + # Apply Gaussian blur + pil_image = pil_image.filter(ImageFilter.GaussianBlur(radius = gaussian_blur)) + + if edge_enhance > 0.0: + # Assign or create PIL Image + pil_image = pil_image if pil_image else self.tensor2pil(image) + # Edge Enhancement + edge_enhanced_img = pil_image.filter(ImageFilter.EDGE_ENHANCE_MORE) + # Blend Mask + blend_mask = Image.new(mode = "L", size = pil_image.size, color = (round(edge_enhance * 255))) + # Composite Original and Enhanced Version + pil_image = Image.composite(pil_image, edge_enhanced_img, blend_mask) + # Clean-up + del blend_mask, edge_enhanced_img + + # Output image + out_image = ( torch.from_numpy(np.array(pil_image).astype(np.float32) / 255.0).unsqueeze(0) + if pil_image else image ) + + return ( out_image, ) + + def tensor2pil(self, image): + return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8)) + +NODE_CLASS_MAPPINGS = { + "Image Filters": WAS_Image_Filters +} diff --git a/wasNodeSuitesComfyui_filtersSuiteV3/Image_Style_Filter_WAS.py b/wasNodeSuitesComfyui_filtersSuiteV3/Image_Style_Filter_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..e4c621f0368f38884b374358e194a64db8f3744c --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV3/Image_Style_Filter_WAS.py @@ -0,0 +1,137 @@ +# By WASasquatch (Discord: WAS#0263) + +import torch, sys, subprocess +import numpy as np +from PIL import Image + +class WAS_Image_Style_Filter: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + "style": ([ + "1977", + "aden", + "brannan", + "brooklyn", + "clarendon", + "earlybird", + "gingham", + "hudson", + "inkwell", + "kelvin", + "lark", + "lofi", + "maven", + "mayfair", + "moon", + "nashville", + "perpetua", + "reyes", + "rise", + "slumber", + "stinson", + "toaster", + "valencia", + "walden", + "willow", + "xpro2" + ],), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "image_style_filter" + + CATEGORY = "WAS" + + def image_style_filter(self, image, style): + + # Install Pilgram + if 'pilgram' not in self.packages(): + print("Installing Pilgram...") + subprocess.check_call([sys.executable, '-m', 'pip', '-q', 'install', 'pilgram']) + + # Import Pilgram module + import pilgram + + # Convert image to PIL + image = self.tensor2pil(image) + + # Apply blending + match style: + case "1977": + out_image = pilgram._1977(image) + case "aden": + out_image = pilgram.aden(image) + case "brannan": + out_image = pilgram.brannan(image) + case "brooklyn": + out_image = pilgram.brooklyn(image) + case "clarendon": + out_image = pilgram.clarendon(image) + case "earlybird": + out_image = pilgram.earlybird(image) + case "gingham": + out_image = pilgram.gingham(image) + case "hudson": + out_image = pilgram.hudson(image) + case "inkwell": + out_image = pilgram.inkwell(image) + case "kelvin": + out_image = pilgram.kelvin(image) + case "lark": + out_image = pilgram.lark(image) + case "lofi": + out_image = pilgram.lofi(image) + case "maven": + out_image = pilgram.maven(image) + case "mayfair": + out_image = pilgram.mayfair(image) + case "moon": + out_image = pilgram.moon(image) + case "nashville": + out_image = pilgram.nashville(image) + case "perpetua": + out_image = pilgram.perpetua(image) + case "reyes": + out_image = pilgram.reyes(image) + case "rise": + out_image = pilgram.rise(image) + case "slumber": + out_image = pilgram.slumber(image) + case "stinson": + out_image = pilgram.stinson(image) + case "toaster": + out_image = pilgram.toaster(image) + case "valencia": + out_image = pilgram.valencia(image) + case "walden": + out_image = pilgram.walden(image) + case "willow": + out_image = pilgram.willow(image) + case "xpro2": + out_image = pilgram.xpro2(image) + case _: + out_image = image + + out_image = out_image.convert("RGB") + + return ( torch.from_numpy(np.array(out_image).astype(np.float32) / 255.0).unsqueeze(0), ) + + # Convert tesnro to PIL image + def tensor2pil(self, image): + return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8)) + + # Freeze packages + def packages(self): + import sys, subprocess + return [r.decode().split('==')[0] for r in subprocess.check_output([sys.executable, '-m', 'pip', 'freeze']).split()] + +NODE_CLASS_MAPPINGS = { + "Image Style Filter": WAS_Image_Style_Filter +} diff --git a/wasNodeSuitesComfyui_filtersSuiteV3/WAS_License.txt b/wasNodeSuitesComfyui_filtersSuiteV3/WAS_License.txt new file mode 100644 index 0000000000000000000000000000000000000000..23eca8953892846fc7a16fa5d290f449b058cbd6 --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV3/WAS_License.txt @@ -0,0 +1,7 @@ +Copyright 2023 Jordan Thompson (WASasquatch) + +Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. \ No newline at end of file diff --git a/wasNodeSuitesComfyui_filtersSuiteV42/Image_Blank_WAS.py b/wasNodeSuitesComfyui_filtersSuiteV42/Image_Blank_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..bf8f832e5024babd21cd4edf93f5cb83a2fdf151 --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV42/Image_Blank_WAS.py @@ -0,0 +1,45 @@ +# By WASasquatch (Discord: WAS#0263) + +import torch +import numpy as np +from PIL import Image, ImageOps +import random + +class WAS_Image_Blank: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "width": ("INT", {"default": 512, "min": 8, "max": 4096, "step": 1}), + "height": ("INT", {"default": 512, "min": 8, "max": 4096, "step": 1}), + "red": ("INT", {"default": 255, "min": 0, "max": 255, "step": 1}), + "green": ("INT", {"default": 255, "min": 0, "max": 255, "step": 1}), + "blue": ("INT", {"default": 255, "min": 0, "max": 255, "step": 1}), + } + } + RETURN_TYPES = ("IMAGE",) + FUNCTION = "blank_image" + + CATEGORY = "WAS" + + def blank_image(self, width, height, red, green, blue): + + # Ensure multiples + width = ( width // 8 ) * 8 + height = ( height // 8 ) * 8 + + # Blend image + blank = Image.new(mode = "RGB", size = (width, height), color = (red, green, blue)) + + return ( self.pil2tensor(blank), ) + + # Convert PIL to Tensor + def pil2tensor(self, image): + return torch.from_numpy(np.array(image).astype(np.float32) / 255.0).unsqueeze(0) + +NODE_CLASS_MAPPINGS = { + "Image Blank": WAS_Image_Blank +} diff --git a/wasNodeSuitesComfyui_filtersSuiteV42/Image_Blend_WAS.py b/wasNodeSuitesComfyui_filtersSuiteV42/Image_Blend_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..5f455adb9a725efabe25d8aa2889aa1f640ce7ef --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV42/Image_Blend_WAS.py @@ -0,0 +1,52 @@ +# By WASasquatch (Discord: WAS#0263) + +import torch, sys, subprocess +import numpy as np +from PIL import Image, ImageOps + +class WAS_Image_Blend: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image_a": ("IMAGE",), + "image_b": ("IMAGE",), + "blend_percentage": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "image_blend" + + CATEGORY = "WAS" + + def image_blend(self, image_a, image_b, blend_percentage): + + # Convert images to PIL + img_a = self.tensor2pil(image_a) + img_b = self.tensor2pil(image_b) + + # Blend image + blend_mask = Image.new(mode = "L", size = img_a.size, color = (round(blend_percentage * 255))) + blend_mask = ImageOps.invert(blend_mask) + img_result = Image.composite(img_a, img_b, blend_mask) + + del img_a, img_b, blend_mask + + return ( torch.from_numpy(np.array(img_result).astype(np.float32) / 255.0).unsqueeze(0), ) + + # Convert tesnor to PIL image + def tensor2pil(self, image): + return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8)) + + # Freeze packages + def packages(self): + import sys, subprocess + return [r.decode().split('==')[0] for r in subprocess.check_output([sys.executable, '-m', 'pip', 'freeze']).split()] + +NODE_CLASS_MAPPINGS = { + "Image Blend": WAS_Image_Blend +} diff --git a/wasNodeSuitesComfyui_filtersSuiteV42/Image_Canny_Filter_WAS.py b/wasNodeSuitesComfyui_filtersSuiteV42/Image_Canny_Filter_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..29b6a73424e02514d89e37b9d5d193687e9dc503 --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV42/Image_Canny_Filter_WAS.py @@ -0,0 +1,147 @@ +# By WASasquatch (Discord: WAS#0263) + +import torch, os +import numpy as np + +class WAS_Canny_Filter: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + "enable_threshold": (['false', 'true'],), + "threshold_low": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01}), + "threshold_high": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "canny_filter" + + CATEGORY = "WAS" + + def canny_filter(self, image, threshold_low, threshold_high, enable_threshold): + + self.install_opencv() + + if enable_threshold == 'false': + threshold_low = None + threshold_high = None + + image_canny = self.Canny_detector(255. * image.cpu().numpy().squeeze(), threshold_low, threshold_high) + + return ( torch.from_numpy( image_canny )[None,], ) + + # Defining the Canny Detector function + # From: https://www.geeksforgeeks.org/implement-canny-edge-detector-in-python-using-opencv/ + + # here weak_th and strong_th are thresholds for + # double thresholding step + def Canny_detector(self, img, weak_th = None, strong_th = None): + + import cv2 + + # conversion of image to grayscale + img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) + + # Noise reduction step + img = cv2.GaussianBlur(img, (5, 5), 1.4) + + # Calculating the gradients + gx = cv2.Sobel(np.float32(img), cv2.CV_64F, 1, 0, 3) + gy = cv2.Sobel(np.float32(img), cv2.CV_64F, 0, 1, 3) + + # Conversion of Cartesian coordinates to polar + mag, ang = cv2.cartToPolar(gx, gy, angleInDegrees = True) + + # setting the minimum and maximum thresholds + # for double thresholding + mag_max = np.max(mag) + if not weak_th:weak_th = mag_max * 0.1 + if not strong_th:strong_th = mag_max * 0.5 + + # getting the dimensions of the input image + height, width = img.shape + + # Looping through every pixel of the grayscale + # image + for i_x in range(width): + for i_y in range(height): + + grad_ang = ang[i_y, i_x] + grad_ang = abs(grad_ang-180) if abs(grad_ang)>180 else abs(grad_ang) + + # selecting the neighbours of the target pixel + # according to the gradient direction + # In the x axis direction + if grad_ang<= 22.5: + neighb_1_x, neighb_1_y = i_x-1, i_y + neighb_2_x, neighb_2_y = i_x + 1, i_y + + # top right (diagonal-1) direction + elif grad_ang>22.5 and grad_ang<=(22.5 + 45): + neighb_1_x, neighb_1_y = i_x-1, i_y-1 + neighb_2_x, neighb_2_y = i_x + 1, i_y + 1 + + # In y-axis direction + elif grad_ang>(22.5 + 45) and grad_ang<=(22.5 + 90): + neighb_1_x, neighb_1_y = i_x, i_y-1 + neighb_2_x, neighb_2_y = i_x, i_y + 1 + + # top left (diagonal-2) direction + elif grad_ang>(22.5 + 90) and grad_ang<=(22.5 + 135): + neighb_1_x, neighb_1_y = i_x-1, i_y + 1 + neighb_2_x, neighb_2_y = i_x + 1, i_y-1 + + # Now it restarts the cycle + elif grad_ang>(22.5 + 135) and grad_ang<=(22.5 + 180): + neighb_1_x, neighb_1_y = i_x-1, i_y + neighb_2_x, neighb_2_y = i_x + 1, i_y + + # Non-maximum suppression step + if width>neighb_1_x>= 0 and height>neighb_1_y>= 0: + if mag[i_y, i_x]neighb_2_x>= 0 and height>neighb_2_y>= 0: + if mag[i_y, i_x]grad_mag>= weak_th: + ids[i_y, i_x]= 1 + else: + ids[i_y, i_x]= 2 + + + # finally returning the magnitude of + # gradients of edges + return mag + + def install_opencv(self): + if 'opencv-python' not in self.packages(): + print("Installing CV2...") + subprocess.check_call([sys.executable, '-m', 'pip', '-q', 'install', 'opencv-python']) + + def packages(self): + import sys, subprocess + return [r.decode().split('==')[0] for r in subprocess.check_output([sys.executable, '-m', 'pip', 'freeze']).split()] + +NODE_CLASS_MAPPINGS = { + "Canny Filter": WAS_Canny_Filter +} diff --git a/wasNodeSuitesComfyui_filtersSuiteV42/Image_Combine_WAS.py b/wasNodeSuitesComfyui_filtersSuiteV42/Image_Combine_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..fee8ea634d933afbdc0b882ef50a8c605514aca9 --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV42/Image_Combine_WAS.py @@ -0,0 +1,103 @@ +# By WASasquatch (Discord: WAS#0263) + +import torch, sys, subprocess +import numpy as np +from PIL import Image + +class WAS_Image_Combine: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image_a": ("IMAGE",), + "image_b": ("IMAGE",), + "mode": ([ + "add", + "color", + "color_burn", + "color_dodge", + "darken", + #"difference", + #"exclusion", + "hard_light", + "hue", + "lighten", + "multiply", + "overlay", + "screen", + "soft_light" + ],), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "image_combine" + + CATEGORY = "WAS" + + def image_combine(self, image_a, image_b, mode): + + # Install Pilgram + if 'pilgram' not in self.packages(): + print("Installing Pilgram...") + subprocess.check_call([sys.executable, '-m', 'pip', '-q', 'install', 'pilgram']) + + # Import Pilgram module + import pilgram + + # Convert images to PIL + img_a = self.tensor2pil(image_a) + img_b = self.tensor2pil(image_b) + + # Apply blending + match mode: + case "color": + out_image = pilgram.css.blending.color(img_a, img_b) + case "color_burn": + out_image = pilgram.css.blending.color_burn(img_a, img_b) + case "color_dodge": + out_image = pilgram.css.blending.color_dodge(img_a, img_b) + case "darken": + out_image = pilgram.css.blending.darken(img_a, img_b) + case "difference": + out_image = pilgram.css.blending.difference(img_a, img_b) + case "exclusion": + out_image = pilgram.css.blending.exclusion(img_a, img_b) + case "hard_light": + out_image = pilgram.css.blending.hard_light(img_a, img_b) + case "hue": + out_image = pilgram.css.blending.hue(img_a, img_b) + case "lighten": + out_image = pilgram.css.blending.lighten(img_a, img_b) + case "multiply": + out_image = pilgram.css.blending.multiply(img_a, img_b) + case "add": + out_image = pilgram.css.blending.normal(img_a, img_b) + case "overlay": + out_image = pilgram.css.blending.overlay(img_a, img_b) + case "screen": + out_image = pilgram.css.blending.screen(img_a, img_b) + case "soft_light": + out_image = pilgram.css.blending.soft_light(img_a, img_b) + case _: + out_image = img_a + + out_image = out_image.convert("RGB") + + return ( torch.from_numpy(np.array(out_image).astype(np.float32) / 255.0).unsqueeze(0), ) + + # Convert tesnro to PIL image + def tensor2pil(self, image): + return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8)) + + # Freeze packages + def packages(self): + import sys, subprocess + return [r.decode().split('==')[0] for r in subprocess.check_output([sys.executable, '-m', 'pip', 'freeze']).split()] + +NODE_CLASS_MAPPINGS = { + "Image Combine": WAS_Image_Combine +} diff --git a/wasNodeSuitesComfyui_filtersSuiteV42/Image_Edge_Detection_WAS.py b/wasNodeSuitesComfyui_filtersSuiteV42/Image_Edge_Detection_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..1b5efd60c73cd0b372ddce2bd3428ac59294cd5b --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV42/Image_Edge_Detection_WAS.py @@ -0,0 +1,48 @@ +# By WASasquatch (Discord: WAS#0263) + +import torch +import numpy as np +from PIL import Image, ImageFilter + +class WAS_Image_Edge: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + "mode": (["normal", "laplacian"],), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "image_edges" + + CATEGORY = "WAS" + + def image_edges(self, image, mode): + + # Convert image to PIL + image = self.tensor2pil(image) + + # Detect edges + match mode: + case "normal": + image = image.filter(ImageFilter.FIND_EDGES) + case "laplacian": + image = image.filter(ImageFilter.Kernel((3, 3), (-1, -1, -1, -1, 8, + -1, -1, -1, -1), 1, 0)) + case _: + image = image + + return ( torch.from_numpy(np.array(image).astype(np.float32) / 255.0).unsqueeze(0), ) + + # Convert tesnor to PIL image + def tensor2pil(self, image): + return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8)) + +NODE_CLASS_MAPPINGS = { + "Image Detect Edges": WAS_Image_Edge +} diff --git a/wasNodeSuitesComfyui_filtersSuiteV42/Image_Film_Grain_WAS.py b/wasNodeSuitesComfyui_filtersSuiteV42/Image_Film_Grain_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..b280e2422880a8e0a77d60ec043ec82084258b1d --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV42/Image_Film_Grain_WAS.py @@ -0,0 +1,89 @@ +# By WASasquatch (Discord: WAS#0263) + +import torch +import numpy as np +from PIL import Image, ImageFilter, ImageEnhance +import random + +class WAS_Film_Grain: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "image": ("IMAGE",), + "density": ("FLOAT", {"default": 1.0, "min": 0.01, "max": 1.0, "step": 0.01}), + "intensity": ("FLOAT", {"default": 1.0, "min": 0.01, "max": 1.0, "step": 0.01}), + "highlights": ("FLOAT", {"default": 1.0, "min": 0.01, "max": 255.0, "step": 0.01}), + "supersample_factor": ("INT", {"default": 4, "min": 1, "max": 8, "step": 1}) + } + } + RETURN_TYPES = ("IMAGE",) + FUNCTION = "film_grain" + + CATEGORY = "WAS" + + def film_grain(self, image, density, intensity, highlights, supersample_factor): + return ( self.pil2tensor(self.apply_film_grain(self.tensor2pil(image), density, intensity, highlights, supersample_factor)), ) + + def apply_film_grain(self, img, density=0.1, intensity=1.0, highlights=1.0, supersample_factor = 4): + """ + Apply grayscale noise with specified density, intensity, and highlights to a PIL image. + """ + # Convert the image to grayscale + img_gray = img.convert('L') + + # Super Resolution noise image + original_size = img.size + img_gray = img_gray.resize(((img.size[0] * supersample_factor), (img.size[1] * supersample_factor)), Image.Resampling(2)) + + # Calculate the number of noise pixels to add + num_pixels = int(density * img_gray.size[0] * img_gray.size[1]) + + # Create a list of noise pixel positions + noise_pixels = [] + for i in range(num_pixels): + x = random.randint(0, img_gray.size[0]-1) + y = random.randint(0, img_gray.size[1]-1) + noise_pixels.append((x, y)) + + # Apply the noise to the grayscale image + for x, y in noise_pixels: + value = random.randint(0, 255) + img_gray.putpixel((x, y), value) + + # Convert the grayscale image back to RGB + img_noise = img_gray.convert('RGB') + + # Blur noise image + img_noise = img_noise.filter(ImageFilter.GaussianBlur(radius = 0.125)) + + # Downsize noise image + img_noise = img_noise.resize(original_size, Image.Resampling(1)) + + # Sharpen super resolution result + img_noise = img_noise.filter(ImageFilter.EDGE_ENHANCE_MORE) + + # Blend the noisy color image with the original color image + img_final = Image.blend(img, img_noise, intensity) + + # Adjust the highlights + enhancer = ImageEnhance.Brightness(img_final) + img_highlights = enhancer.enhance(highlights) + + # Return the final image + return img_highlights + + # Convert PIL to Tensor + def pil2tensor(self, image): + return torch.from_numpy(np.array(image).astype(np.float32) / 255.0).unsqueeze(0) + + # Convert Tensor to PIL image + def tensor2pil(self, image): + return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8)) + +NODE_CLASS_MAPPINGS = { + "Image Film Grain": WAS_Film_Grain +} diff --git a/wasNodeSuitesComfyui_filtersSuiteV42/Image_Filters_WAS.py b/wasNodeSuitesComfyui_filtersSuiteV42/Image_Filters_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..740873b06143b59c326ee99774bb7cf5fdf3e65b --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV42/Image_Filters_WAS.py @@ -0,0 +1,103 @@ +# By WASasquatch (Discord: WAS#0263) + +import torch +import numpy as np +from PIL import Image, ImageFilter, ImageEnhance, ImageOps + +class WAS_Image_Filters: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + "brightness": ("FLOAT", {"default": 0.0, "min": -1.0, "max": 1.0, "step": 0.01}), + "contrast": ("FLOAT", {"default": 1.0, "min": -1.0, "max": 2.0, "step": 0.01}), + "saturation": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 5.0, "step": 0.01}), + "sharpness": ("FLOAT", {"default": 1.0, "min": -5.0, "max": 5.0, "step": 0.01}), + "blur": ("INT", {"default": 0, "min": 0, "max": 16, "step": 1}), + "gaussian_blur": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 255.0, "step": 0.1}), + "edge_enhance": ("FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01}), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "image_filters" + + CATEGORY = "WAS" + + def image_filters(self, image, brightness, contrast, saturation, sharpness, blur, gaussian_blur, edge_enhance): + + pil_image = None + + # Apply NP Adjustments + if brightness > 0.0 or brightness < 0.0: + # Apply brightness + image = np.clip(image + brightness, 0.0, 1.0) + + if contrast > 1.0 or contrast < 1.0: + # Apply contrast + image = np.clip(image * contrast, 0.0, 1.0) + + # Apply PIL Adjustments + if saturation > 1.0 or saturation < 1.0: + #PIL Image + pil_image = self.tensor2pil(image) + # Apply saturation + pil_image = ImageEnhance.Color(pil_image).enhance(saturation) + + if sharpness > 1.0 or sharpness < 1.0: + # Assign or create PIL Image + pil_image = pil_image if pil_image else self.tensor2pil(image) + # Apply sharpness + pil_image = ImageEnhance.Sharpness(pil_image).enhance(sharpness) + + if blur > 0: + # Assign or create PIL Image + pil_image = pil_image if pil_image else self.tensor2pil(image) + # Apply blur + for _ in range(blur): + pil_image = pil_image.filter(ImageFilter.BLUR) + + if gaussian_blur > 0.0: + # Assign or create PIL Image + pil_image = pil_image if pil_image else self.tensor2pil(image) + # Apply Gaussian blur + pil_image = pil_image.filter(ImageFilter.GaussianBlur(radius = gaussian_blur)) + + if edge_enhance > 0.0: + # Assign or create PIL Image + pil_image = pil_image if pil_image else self.tensor2pil(image) + # Edge Enhancement + edge_enhanced_img = pil_image.filter(ImageFilter.EDGE_ENHANCE_MORE) + # Blend Mask + blend_mask = Image.new(mode = "L", size = pil_image.size, color = (round(edge_enhance * 255))) + blend_mask = ImageOps.invert(blend_maskk) + # Composite Original and Enhanced Version + pil_image = Image.composite(edge_enhanced_img, pil_image, blend_mask) + # Clean-up + del blend_mask, edge_enhanced_img + + # Output image + out_image = ( self.pil2tensor(pil_image) if pil_image else image ) + + return ( out_image, ) + + # Tensor to PIL + def tensor2pil(self, image): + return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8)) + + # Convert PIL to Tensor + def pil2tensor(self, image): + return torch.from_numpy(np.array(image).astype(np.float32) / 255.0).unsqueeze(0) + + # Freeze packages + def packages(self): + import sys, subprocess + return [r.decode().split('==')[0] for r in subprocess.check_output([sys.executable, '-m', 'pip', 'freeze']).split()] + +NODE_CLASS_MAPPINGS = { + "Image Filters": WAS_Image_Filters +} diff --git a/wasNodeSuitesComfyui_filtersSuiteV42/Image_Flip_WAS.py b/wasNodeSuitesComfyui_filtersSuiteV42/Image_Flip_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..0e655b1e0f7281099b54078bbd4a0ae37851ed4f --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV42/Image_Flip_WAS.py @@ -0,0 +1,50 @@ +# By WASasquatch (Discord: WAS#0263) + +import torch +import numpy as np +import PIL +from PIL import Image + +class WAS_Image_Flip: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + "mode": (["horizontal", "vertical",],), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "image_flip" + + CATEGORY = "WAS" + + def image_flip(self, image, mode): + + # PIL Image + image = self.tensor2pil(image) + + # Rotate Image + if mode == 'horizontal': + image = image.transpose(0) + if mode == 'vertical': + image = image.transpose(1) + + return ( torch.from_numpy(np.array(image).astype(np.float32) / 255.0).unsqueeze(0), ) + + # Tensor to PIL + def tensor2pil(self, image): + return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8)) + + # Freeze packages + def packages(self): + import sys, subprocess + return [r.decode().split('==')[0] for r in subprocess.check_output([sys.executable, '-m', 'pip', 'freeze']).split()] + +NODE_CLASS_MAPPINGS = { + "Image Flip": WAS_Image_Flip +} diff --git a/wasNodeSuitesComfyui_filtersSuiteV42/Image_Nova_Filter_WAS.py b/wasNodeSuitesComfyui_filtersSuiteV42/Image_Nova_Filter_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..b2eef0d2089f5d31522212560d8a6f5739bec4e8 --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV42/Image_Nova_Filter_WAS.py @@ -0,0 +1,73 @@ +# By WASasquatch (Discord: WAS#0263) + +import torch +import numpy as np +from PIL import Image + +class WAS_Image_Nova_Filter: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + "amplitude": ("FLOAT", {"default": 0.1, "min": 0.0, "max": 1.0, "step": 0.001}), + "frequency": ("FLOAT", {"default": 3.14, "min": 0.0, "max": 100.0, "step": 0.001}), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "nova_sine" + + CATEGORY = "WAS" + + def nova_sine(self, image, amplitude, frequency): + + # Convert image to numpy + img = self.tensor2pil(image) + + # Convert the image to a numpy array + img_array = np.array(img) + + # Define a sine wave function + def sine(x, freq, amp): + return amp * np.sin(2 * np.pi * freq * x) + + # Calculate the sampling frequency of the image + resolution = img.info.get('dpi') # PPI + physical_size = img.size # pixels + + if resolution is not None: + # Convert PPI to pixels per millimeter (PPM) + ppm = 25.4 / resolution + physical_size = tuple(int(pix * ppm) for pix in physical_size) + + # Set the maximum frequency for the sine wave + max_freq = img.width / 2 + + # Ensure frequency isn't outside visual representable range + if frequency > max_freq: + frequency = max_freq + + # Apply levels to the image using the sine function + for i in range(img_array.shape[0]): + for j in range(img_array.shape[1]): + for k in range(img_array.shape[2]): + img_array[i,j,k] = int(sine(img_array[i,j,k]/255, frequency, amplitude) * 255) + + return ( torch.from_numpy(img_array.astype(np.float32) / 255.0).unsqueeze(0), ) + + # Convert tesnro to PIL image + def tensor2pil(self, image): + return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8)) + + # Freeze installed pip modules + def packages(self): + import sys, subprocess + return [r.decode().split('==')[0] for r in subprocess.check_output([sys.executable, '-m', 'pip', 'freeze']).split()] + +NODE_CLASS_MAPPINGS = { + "Image Nova Filter": WAS_Image_Nova_Filter +} diff --git a/wasNodeSuitesComfyui_filtersSuiteV42/Image_Rotate_WAS.py b/wasNodeSuitesComfyui_filtersSuiteV42/Image_Rotate_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..19f64f6429e8cb9088597f305a0bf6dc4590d6c0 --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV42/Image_Rotate_WAS.py @@ -0,0 +1,69 @@ +# By WASasquatch (Discord: WAS#0263) + +import torch +import numpy as np +import PIL +from PIL import Image + +class WAS_Image_Rotate: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + "mode": (["transpose", "internal",],), + "rotation": ("INT", {"default": 0, "min": 0, "max": 360, "step": 90}), + "sampler": (["nearest", "bilinear", "bicubic"],), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "image_rotate" + + CATEGORY = "WAS" + + def image_rotate(self, image, mode, rotation, sampler): + + # PIL Image + image = self.tensor2pil(image) + + # Check rotation + if rotation > 360: + rotation = int(360) + if (rotation % 90 != 0): + rotation = int((rotation//90)*90); + + # Set Sampler + match sampler: + case 'nearest': + sampler = PIL.Image.NEAREST + case 'bicubic': + sampler = PIL.Image.BICUBIC + case 'bilinear': + sampler = PIL.Image.BILINEAR + + # Rotate Image + if mode == 'internal': + image = image.rotate(rotation, sampler) + else: + rot = int(rotation / 90) + for _ in range(rot): + image = image.transpose(2) + + return ( torch.from_numpy(np.array(image).astype(np.float32) / 255.0).unsqueeze(0), ) + + # Tensor to PIL + def tensor2pil(self, image): + return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8)) + + # Freeze packages + def packages(self): + import sys, subprocess + return [r.decode().split('==')[0] for r in subprocess.check_output([sys.executable, '-m', 'pip', 'freeze']).split()] + +NODE_CLASS_MAPPINGS = { + "Image Rotate": WAS_Image_Rotate +} diff --git a/wasNodeSuitesComfyui_filtersSuiteV42/Image_Style_Filter_WAS.py b/wasNodeSuitesComfyui_filtersSuiteV42/Image_Style_Filter_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..e4c621f0368f38884b374358e194a64db8f3744c --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV42/Image_Style_Filter_WAS.py @@ -0,0 +1,137 @@ +# By WASasquatch (Discord: WAS#0263) + +import torch, sys, subprocess +import numpy as np +from PIL import Image + +class WAS_Image_Style_Filter: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + "style": ([ + "1977", + "aden", + "brannan", + "brooklyn", + "clarendon", + "earlybird", + "gingham", + "hudson", + "inkwell", + "kelvin", + "lark", + "lofi", + "maven", + "mayfair", + "moon", + "nashville", + "perpetua", + "reyes", + "rise", + "slumber", + "stinson", + "toaster", + "valencia", + "walden", + "willow", + "xpro2" + ],), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "image_style_filter" + + CATEGORY = "WAS" + + def image_style_filter(self, image, style): + + # Install Pilgram + if 'pilgram' not in self.packages(): + print("Installing Pilgram...") + subprocess.check_call([sys.executable, '-m', 'pip', '-q', 'install', 'pilgram']) + + # Import Pilgram module + import pilgram + + # Convert image to PIL + image = self.tensor2pil(image) + + # Apply blending + match style: + case "1977": + out_image = pilgram._1977(image) + case "aden": + out_image = pilgram.aden(image) + case "brannan": + out_image = pilgram.brannan(image) + case "brooklyn": + out_image = pilgram.brooklyn(image) + case "clarendon": + out_image = pilgram.clarendon(image) + case "earlybird": + out_image = pilgram.earlybird(image) + case "gingham": + out_image = pilgram.gingham(image) + case "hudson": + out_image = pilgram.hudson(image) + case "inkwell": + out_image = pilgram.inkwell(image) + case "kelvin": + out_image = pilgram.kelvin(image) + case "lark": + out_image = pilgram.lark(image) + case "lofi": + out_image = pilgram.lofi(image) + case "maven": + out_image = pilgram.maven(image) + case "mayfair": + out_image = pilgram.mayfair(image) + case "moon": + out_image = pilgram.moon(image) + case "nashville": + out_image = pilgram.nashville(image) + case "perpetua": + out_image = pilgram.perpetua(image) + case "reyes": + out_image = pilgram.reyes(image) + case "rise": + out_image = pilgram.rise(image) + case "slumber": + out_image = pilgram.slumber(image) + case "stinson": + out_image = pilgram.stinson(image) + case "toaster": + out_image = pilgram.toaster(image) + case "valencia": + out_image = pilgram.valencia(image) + case "walden": + out_image = pilgram.walden(image) + case "willow": + out_image = pilgram.willow(image) + case "xpro2": + out_image = pilgram.xpro2(image) + case _: + out_image = image + + out_image = out_image.convert("RGB") + + return ( torch.from_numpy(np.array(out_image).astype(np.float32) / 255.0).unsqueeze(0), ) + + # Convert tesnro to PIL image + def tensor2pil(self, image): + return Image.fromarray(np.clip(255. * image.cpu().numpy().squeeze(), 0, 255).astype(np.uint8)) + + # Freeze packages + def packages(self): + import sys, subprocess + return [r.decode().split('==')[0] for r in subprocess.check_output([sys.executable, '-m', 'pip', 'freeze']).split()] + +NODE_CLASS_MAPPINGS = { + "Image Style Filter": WAS_Image_Style_Filter +} diff --git a/wasNodeSuitesComfyui_filtersSuiteV42/WAS_License.txt b/wasNodeSuitesComfyui_filtersSuiteV42/WAS_License.txt new file mode 100644 index 0000000000000000000000000000000000000000..23eca8953892846fc7a16fa5d290f449b058cbd6 --- /dev/null +++ b/wasNodeSuitesComfyui_filtersSuiteV42/WAS_License.txt @@ -0,0 +1,7 @@ +Copyright 2023 Jordan Thompson (WASasquatch) + +Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. \ No newline at end of file diff --git a/wasNodeSuitesComfyui_midasSuiteV2/MiDaS_Depth_Approx_WAS.py b/wasNodeSuitesComfyui_midasSuiteV2/MiDaS_Depth_Approx_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..d4a21598e5231b9b201ff9b661550d5e8489f524 --- /dev/null +++ b/wasNodeSuitesComfyui_midasSuiteV2/MiDaS_Depth_Approx_WAS.py @@ -0,0 +1,103 @@ +# By WASasquatch ( Discord: WAS#0263 | https://civitai.com/user/WAS ) + +import torch, time, sys, subprocess +import numpy as np +from PIL import Image, ImageFilter +import torchvision.transforms as transforms + +MIDAS_INSTALLED = False + +class MiDaS_Depth_Approx: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + "use_cpu": (["false", "true"],), + "midas_model": (["DPT_Large", "DPT_Hybrid", "DPT_Small"],), + "invert_depth": (["false", "true"],), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "midas_approx" + CATEGORY = "WAS" + + def midas_approx(self, image, use_cpu, midas_model, invert_depth): + + global MIDAS_INSTALLED + + if not MIDAS_INSTALLED: + self.install_midas() + + import cv2 as cv + + # Convert the input image tensor to a PIL Image + i = 255. * image.cpu().numpy().squeeze() + img = i + + print("Downloading and loading MiDaS Model...") + midas = torch.hub.load("intel-isl/MiDaS", midas_model, trust_repo=True) + device = torch.device("cuda") if torch.cuda.is_available() and use_cpu == 'false' else torch.device("cpu") + + print('MiDaS is using device:', device) + + midas.to(device).eval() + midas_transforms = torch.hub.load("intel-isl/MiDaS", "transforms") + + if midas_model == "DPT_Large" or midas_model == "DPT_Hybrid": + transform = midas_transforms.dpt_transform + else: + transform = midas_transforms.small_transform + + img = cv.cvtColor(img, cv.COLOR_BGR2RGB) + input_batch = transform(img).to(device) + + print('Approximating depth from image...') + + with torch.no_grad(): + prediction = midas(input_batch) + prediction = torch.nn.functional.interpolate( + prediction.unsqueeze(1), + size=img.shape[:2], + mode="bicubic", + align_corners=False, + ).squeeze() + + if invert_depth == 'true': + depth = ( 255 - prediction.cpu().numpy().astype(np.uint8) ) + depth = depth.astype(np.float32) + else: + depth = prediction.cpu().numpy().astype(np.float32) + depth = depth * 255 / (np.max(depth)) / 255 + # Invert depth map + depth = cv.cvtColor(depth, cv.COLOR_GRAY2RGB) + + tensor = torch.from_numpy( depth )[None,] + tensors = ( tensor, ) + + del midas, device, midas_transforms + del transform, img, input_batch, prediction + + return tensors + + def install_midas(self): + global MIDAS_INSTALLED + if 'timm' not in self.packages(): + print("Installing timm...") + subprocess.check_call([sys.executable, '-m', 'pip', '-q', 'install', 'timm']) + if 'opencv-python' not in self.packages(): + print("Installing CV2...") + subprocess.check_call([sys.executable, '-m', 'pip', '-q', 'install', 'opencv-python']) + MIDAS_INSTALLED = True + + def packages(self): + import sys, subprocess + return [r.decode().split('==')[0] for r in subprocess.check_output([sys.executable, '-m', 'pip', 'freeze']).split()] + +NODE_CLASS_MAPPINGS = { + "MiDaS Depth Approximation": MiDaS_Depth_Approx +} diff --git a/wasNodeSuitesComfyui_midasSuiteV2/WAS_License.txt b/wasNodeSuitesComfyui_midasSuiteV2/WAS_License.txt new file mode 100644 index 0000000000000000000000000000000000000000..23eca8953892846fc7a16fa5d290f449b058cbd6 --- /dev/null +++ b/wasNodeSuitesComfyui_midasSuiteV2/WAS_License.txt @@ -0,0 +1,7 @@ +Copyright 2023 Jordan Thompson (WASasquatch) + +Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. \ No newline at end of file diff --git a/wasNodeSuitesComfyui_midasSuiteV2/fDOF_WAS.py b/wasNodeSuitesComfyui_midasSuiteV2/fDOF_WAS.py new file mode 100644 index 0000000000000000000000000000000000000000..0e6e1e54d62956df194ed26d3940527354f53e8b --- /dev/null +++ b/wasNodeSuitesComfyui_midasSuiteV2/fDOF_WAS.py @@ -0,0 +1,83 @@ +# By WASasquatch (Discord: WAS#0263) + +import torch +import numpy as np +from PIL import Image, ImageFilter + +class fDOF: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(cls): + return { + "required": { + "image": ("IMAGE",), + "depth": ("IMAGE",), + "mode": (["mock","gaussian","box"],), + "radius": ("INT", {"default": 8, "min": 1, "max": 128, "step": 1}), + "samples": ("INT", {"default": 1, "min": 1, "max": 3, "step": 1}), + }, + } + + RETURN_TYPES = ("IMAGE",) + FUNCTION = "fdof_composite" + + CATEGORY = "WAS" + + def fdof_composite(self, image, depth, radius, samples, mode): + + if 'opencv-python' not in self.packages(): + print("Installing CV2...") + subprocess.check_call([sys.executable, '-m', 'pip', '-q', 'install', 'opencv-python']) + + import cv2 as cv + + #Convert tensor to a PIL Image + i = 255. * image.cpu().numpy().squeeze() + img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8)) + d = 255. * depth.cpu().numpy().squeeze() + depth_img = Image.fromarray(np.clip(d, 0, 255).astype(np.uint8)) + + #Apply Fake Depth of Field + fdof_image = self.portraitBlur(img, depth_img, radius, samples, mode) + + return ( torch.from_numpy(np.array(fdof_image).astype(np.float32) / 255.0).unsqueeze(0), ) + + def medianFilter(self, img, diameter, sigmaColor, sigmaSpace): + import cv2 as cv + diameter = int(diameter); sigmaColor = int(sigmaColor); sigmaSpace = int(sigmaSpace) + img = img.convert('RGB') + img = cv.cvtColor(np.array(img), cv.COLOR_RGB2BGR) + img = cv.bilateralFilter(img, diameter, sigmaColor, sigmaSpace) + img = cv.cvtColor(np.array(img), cv.COLOR_BGR2RGB) + return Image.fromarray(img).convert('RGB') + + def portraitBlur(self, img, mask, radius=5, samples=1, mode = 'mock'): + mask = mask.resize(img.size).convert('L') + if mode == 'mock': + bimg = self.medianFilter(img, radius, (radius * 1500), 75) + elif mode == 'gaussian': + bimg = img.filter(ImageFilter.GaussianBlur(radius = radius)) + elif mode == 'box': + bimg = img.filter(ImageFilter.BoxBlur(radius)) + bimg.convert(img.mode) + rimg = None + if samples > 1: + for i in range(samples): + if i == 0: + rimg = Image.composite(img, bimg, mask) + else: + rimg = Image.composite(rimg, bimg, mask) + else: + rimg = Image.composite(img, bimg, mask).convert('RGB') + + return rimg + + def packages(self): + import sys, subprocess + return [r.decode().split('==')[0] for r in subprocess.check_output([sys.executable, '-m', 'pip', 'freeze']).split()] + +NODE_CLASS_MAPPINGS = { + "fDOF": fDOF +} diff --git a/wasNodeSuitesComfyui_nspCliptextencodeV2 (1)/NSP_CLIPTextEncoder.py b/wasNodeSuitesComfyui_nspCliptextencodeV2 (1)/NSP_CLIPTextEncoder.py new file mode 100644 index 0000000000000000000000000000000000000000..bcd53c375080246d3ad4483c3cc56ff99fa72c85 --- /dev/null +++ b/wasNodeSuitesComfyui_nspCliptextencodeV2 (1)/NSP_CLIPTextEncoder.py @@ -0,0 +1,66 @@ + # By WASasquatch (Discord: WAS#0263) + +import torch, os, json, random, hashlib +from urllib.request import urlopen +import json + +class WAS_NSP_CLIPTextEncoder: + def __init__(self): + pass + + @classmethod + def INPUT_TYPES(s): + return { + "required": { + "noodle_key": ("STRING", {"default": '__', "multiline": False}), + "seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}), + "text": ("STRING", {"multiline": True}), + "clip": ("CLIP",), + } + } + + RETURN_TYPES = ("CONDITIONING",) + FUNCTION = "nsp_encode" + + CATEGORY = "conditioning" + + def nsp_encode(self, clip, text, noodle_key = '__', seed = 0): + + # Fetch the NSP Pantry + local_pantry = 'ComfyUI/custom_nodes/nsp_pantry.json' + if not os.path.exists(local_pantry): + response = urlopen('https://raw.githubusercontent.com/WASasquatch/noodle-soup-prompts/main/nsp_pantry.json') + tmp_pantry = json.loads(response.read()) + # Dump JSON locally + pantry_serialized = json.dumps(tmp_pantry, indent=4) + with open(local_pantry, "w") as f: + f.write(pantry_serialized) + del response, tmp_pantry + + # Load local pantry + with open(local_pantry, 'r') as f: + nspterminology = json.load(f) + + if seed > 0 or seed < 1: + random.seed(seed) + + # Parse Text + new_text = text + for term in nspterminology: + # Target Noodle + tkey = f'{noodle_key}{term}{noodle_key}' + # How many occurances? + tcount = new_text.count(tkey) + # Apply random results for each noodle counted + for _ in range(tcount): + new_text = new_text.replace(tkey, random.choice(nspterminology[term]), 1) + seed = seed+1 + random.seed(seed) + + print('Parsed Prompt:', new_text) + + return ([[clip.encode(new_text), {}]], ) + +NODE_CLASS_MAPPINGS = { + "CLIPTextEncode (NSP)": WAS_NSP_CLIPTextEncoder +} diff --git a/wasNodeSuitesComfyui_nspCliptextencodeV2 (1)/WAS_License.txt b/wasNodeSuitesComfyui_nspCliptextencodeV2 (1)/WAS_License.txt new file mode 100644 index 0000000000000000000000000000000000000000..23eca8953892846fc7a16fa5d290f449b058cbd6 --- /dev/null +++ b/wasNodeSuitesComfyui_nspCliptextencodeV2 (1)/WAS_License.txt @@ -0,0 +1,7 @@ +Copyright 2023 Jordan Thompson (WASasquatch) + +Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. \ No newline at end of file diff --git a/wasNodeSuitesComfyui_nspCliptextencodeV2 (1)/nsp_pantry.json b/wasNodeSuitesComfyui_nspCliptextencodeV2 (1)/nsp_pantry.json new file mode 100644 index 0000000000000000000000000000000000000000..2cd7582e08aa4ae5a7400a5f166e67bfe98e62b1 --- /dev/null +++ b/wasNodeSuitesComfyui_nspCliptextencodeV2 (1)/nsp_pantry.json @@ -0,0 +1,17684 @@ +{ + "fantasy-creature": [ + "Centaurs", + "Demon", + "Dragons", + "Dwarves", + "Elves", + "Evil Spirit", + "Ghost", + "Gnomes", + "King", + "Knight", + "Magician", + "Minotaur", + "Pegasus", + "Phoenix", + "Prince", + "Princess", + "Queen", + "Siren", + "Sorceress", + "Sprite", + "Trolls", + "Valkyrie", + "Vampire", + "Warlock", + "Werewolf", + "Wizard", + "Zombie", + "goblins", + "gryphons", + "ogres", + "orcs", + "phylakes", + "trolls", + "unicorns", + "witches", + "wizards" + ], + "gen-modifier": [ + "60s kitsch and psychedelia", + "abstract illusionism", + "ambrotype", + "american romanticism", + "anaglyph effect", + "anaglyph filter", + "blueprint", + "brutalism", + "chillwave", + "cottagecore", + "crayon art", + "cyanotype", + "dark academia", + "digital art", + "dutch golden age", + "fractalism", + "fresco", + "futuresynth", + "german romanticism", + "glitch art", + "gothic art", + "graffiti", + "hyperrealism", + "infrared", + "Lovecraftian", + "magic realism", + "multiple exposure", + "narrative realism", + "photorealism", + "realism", + "retrowave", + "Sabattier effect", + "Sabattier filter", + "still life", + "street art", + "surrealism", + "synthwave", + "vaporwave", + "afrofuturism", + "anime", + "avant-garde", + "calotype", + "camcorder effect", + "cubism", + "daguerreotype", + "doge", + "expressionism", + "figurativism", + "fisheye lens", + "gothic", + "holography", + "impressionism", + "inverted colors", + "long exposure", + "mac and cheese", + "macro lens", + "manga", + "modernism", + "naturalism", + "optical illusion", + "positivism", + "stuckism", + "symbolism", + "telephoto lens", + "the matrix", + "tilt-shift", + "tintype", + "tonalism" + ], + "adj-beauty": [ + "aesthetic", + "esthetic", + "aesthetical", + "esthetical", + "attractive", + "beauteous", + "bonny", + "bonnie", + "comely", + "cute", + "drop-dead", + "fair", + "fetching", + "good", + "good-looking", + "goodly", + "gorgeous", + "handsome", + "knockout", + "likely", + "lovely", + "lovesome", + "pretty", + "ravishing", + "seemly", + "sightly", + "stunning", + "taking", + "well-favored", + "alluring", + "appealing", + "charming", + "cunning", + "delightful", + "engaging", + "fascinating", + "glamorous", + "glamourous", + "prepossessing", + "elegant", + "exquisite", + "glorious", + "Junoesque", + "magnificent", + "resplendent", + "splendid", + "statuesque", + "sublime", + "superb", + "flawless", + "perfect", + "radiant", + "dainty", + "delicate", + "personable", + "pleasant", + "presentable", + "chocolate-box", + "prettyish", + "desirable", + "dishy", + "dollish", + "foxy", + "hot", + "luscious", + "nubile", + "pulchritudinous", + "seductive", + "sexy", + "toothsome", + "hunky", + "studly", + "arresting", + "eye-catching", + "flamboyant", + "flashy", + "glossy", + "showstopping", + "showy", + "slick", + "snazzy", + "splashy", + "striking", + "zingy", + "photogenic", + "telegenic" + ], + "noun-beauty": [ + "a perfect 10", + "a vision", + "admirer", + "allure", + "amazement", + "angel", + "appeal", + "appreciation", + "art", + "artistry", + "artwork", + "awe", + "beautiful creature", + "beauty", + "charm", + "charmer", + "composition", + "cutie pie", + "infatuation", + "inner beauty", + "jewel", + "knockout", + "longing", + "look", + "looker", + "loveliness", + "marvel", + "miracle", + "natural beauty", + "object of desire", + "objet d\u2019art", + "perfection", + "purity", + "rarity", + "reverence", + "sculpture", + "dish", + "doll", + "dream", + "dream girl", + "dream guy", + "dreamboat", + "elegance", + "enchanter", + "exotic beauty", + "eye candy", + "eyeful", + "feast for the eyes", + "femininity", + "fox", + "glorification", + "good looks", + "good-looking person", + "grace", + "sex appeal", + "sex symbol", + "sight", + "sophistication", + "stunner", + "stupor", + "treasure", + "uncontested beauty", + "universal beauty", + "visual feast", + "visual poetry", + "visual treat", + "wonder", + "wonderment", + "work of art", + "worshiper", + "wow factor" + ], + "noun-fantasy": [ + "Alchemy", + "Apprentice", + "Archer", + "Armor", + "Battering Ram", + "Black Ice", + "Black Magic", + "Breaking Point", + "Burn Mark", + "Candlelight", + "Castle Gate", + "Castle Wall", + "Castle", + "Contempt", + "Countermeasure", + "Crossroads", + "Crypt", + "Dark Elf", + "Dark Elves", + "Defender", + "Dragon", + "Dreaming", + "Drow Elf", + "Drow Elves", + "Dungeon", + "Dwarf", + "Dwarves", + "Elf", + "Elves", + "Energy", + "Explosion", + "Fang", + "Figure", + "Folklore", + "Gems", + "Gemstones", + "Gentle Wind", + "Goblin", + "Goblins", + "Gold", + "Golum", + "Griffin", + "Ground", + "Gryphon", + "Guard", + "Guardhouse", + "Guild", + "Hippogriff", + "Hobbit", + "Hobbits", + "Imp", + "Imps", + "Interloper", + "King", + "Knight", + "Knight", + "Lich", + "Limit", + "Magic Spell", + "Magical Power", + "Magnetic North", + "Mayhem", + "Melancholy", + "Mercury", + "Monster", + "Moonbeam", + "Mystic", + "Necromancer", + "Necromancer", + "Nightmare", + "Pandemonium", + "Psychic", + "Queen", + "Radiation", + "Resistance", + "Retribution", + "Rogue", + "Royal", + "Scroll", + "Scrolls", + "Serpent", + "Shadows", + "Shard", + "Shoreline", + "Sixth Sense", + "Skeleton Warrior", + "Skeleton", + "Skeletons", + "Society", + "Sorcerer", + "Sorceress", + "Sorcery", + "Southeast", + "Spellcaster", + "Spirit World", + "Spirit", + "Squire", + "Stare Down", + "Strike Down", + "Stronghold", + "Summoner", + "Sunburst", + "Survivor", + "Sword", + "Tarot Card", + "Tavern", + "Templar", + "Third Eye", + "Throw Back", + "Thunderclap", + "Treasure", + "Turning", + "Undead", + "Undersurface", + "Underworld", + "Vampire", + "Viper", + "Warlock", + "Warrior", + "Watchman", + "Whisperer", + "Wind", + "Witch", + "Wizard", + "Wizardry", + "Wood Elf", + "Wood Elves", + "World" + ], + "adj-horror": [ + "alarming", + "dire", + "direful", + "dread", + "dreadful", + "fearful", + "fearsome", + "forbidding", + "foreboding", + "formidable", + "frightening", + "hair-raising", + "horrendous", + "horrible", + "horrifying", + "intimidating", + "redoubtable", + "shocking", + "spine-chilling", + "terrible", + "terrifying", + "daunting", + "demoralizing", + "disconcerting", + "discouraging", + "dismaying", + "disquieting", + "distressing", + "disturbing", + "perturbing", + "startling", + "threatening", + "troubling", + "trying", + "unnerving", + "atrocious", + "awful", + "dreadful", + "frightful", + "ghastly", + "grisline", + "gruesome", + "hideous", + "horrid", + "monstrosity", + "repulsive" + ], + "noun-emote": [ + "Happy", + "Afraid", + "Sad", + "Hot", + "Amused", + "Bored", + "Anxious", + "Confident", + "Cold", + "Suspicious", + "Surprised", + "Loving", + "Curious", + "Envious", + "Jealous", + "Miserable", + "Confused", + "Stupid", + "Angry", + "Sick", + "Ashamed", + "Withdrawn", + "Indifferent", + "Sorry", + "Determined", + "Crazy", + "Bashful", + "Depressed", + "Enraged", + "Frightened", + "Interested", + "Shy", + "Hopeful", + "Regretful", + "Scared", + "Stubborn", + "Thirsty", + "Guilty", + "Nervous", + "Embarrassed", + "Disgusted", + "Proud", + "Ecstatic", + "Lonely", + "Frustrated", + "Hurt", + "Hungry", + "Tired", + "Smug", + "Thoughtful", + "Pained", + "Optimistic", + "Relieved", + "Puzzled", + "Shocked", + "Joyful", + "Sleepy", + "Excited", + "Skeptical", + "Bad", + "Worried" + ], + "noun-horror": [ + "apparition", + "enchanted", + "ghost", + "ghostly", + "ghoulish", + "goblin", + "haunted house", + "haunting", + "hobgoblin", + "levitation", + "medium", + "occult", + "orbs", + "the paranormal", + "paranormal activity", + "phantasm", + "phantasms", + "phantom", + "poltergeist", + "possessed", + "possession", + "seance", + "specter", + "spirit", + "unearthly", + "wraith", + "potion", + "tombstone", + "death", + "poltergeist", + "demon", + "crow", + "ghoul", + "ghost story", + "hell", + "graveyard", + "monster", + "full moon", + "mummy", + "devil incarnate", + "vampire", + "make-up", + "spider web", + "screams", + "scary story", + "vampire", + "sorceress", + "pumpkin", + "mask", + "headless horseman", + "skulls", + "fantasy", + "horror", + "creature", + "specter", + "moonlight", + "doom", + "nightmare", + "threat", + "eye of newt", + "brains", + "occult", + "worms", + "haunted house", + "goblin", + "witch", + "bonfire", + "fright", + "werewolf", + "noose", + "shadow", + "lightening", + "bogeyman", + "fire & brimstone", + "hell-hound", + "intestines", + "darkness", + "evil spirit", + "trick", + "superstition", + "grave", + "graves", + "nightfall", + "spider", + "fangs", + "phantom", + "magic", + "phenomena", + "skeleton", + "spirits", + "pillow case", + "werewolf", + "tale of horror", + "fog", + "tomb", + "corpse", + "bones", + "dead body", + "zombie", + "banshee", + "bats", + "blood", + "terror", + "cemetery", + "haunting", + "murder", + "lightning", + "thunder", + "midnight", + "raven", + "cobweb", + "cobwebs", + "owl", + "night of fright" + ], + "adj-architecture": [ + "Minimalist", + "Eclectic architecture", + "Reflective", + "Congested", + "Streamlined", + "Opaque", + "Pleasant", + "Gothic architecture", + "Gothic Revival architecture", + "Fabric", + "Structure", + "Suspended", + "Facade", + "Monolithic", + "Diminutive", + "Resemble", + "Revivalist", + "Streamline", + "Economical", + "Sparse", + "Luxurious", + "Compact", + "Pervasive", + "Effusive", + "Tatami", + "Shoji", + "Fusuma", + "Engawa", + "Genkan", + "Byzantine architecture", + "Roman architecture", + "Romanesque architecture", + "Islamic architecture", + "Persian architecture", + "Renaissance architecture", + "Baroque architecture", + "Churrigueresque architecture", + "Churrigueresco architecture", + "Rococo architecture", + "Bauhaus architecture", + "Art Deco", + "Art Nouveau", + "Brutalism architecture", + "Colonial architecture", + "Composite architecture", + "Corinthian architecture", + "Decorated style", + "Doric architecture", + "Early Christian architecture", + "Early English architecture", + "Edwardian architecture", + "Empire architecture", + "Federation architecture", + "functionalism", + "Georgian architecture", + "International Style", + "Modernist", + "Ionic", + "Jacobean architecture", + "Louis Quatorze", + "Louis Quinze", + "Louis Seize", + "Louis Treize", + "Mannerism", + "Moderne", + "Moorish architecture", + "Morisco architecture", + "Mud\u00e9jar architecture", + "Neoclassicial", + "Palladian", + "perpendicular", + "postmodernism", + "post-modernism", + "Queen-Anne architecture", + "Regency architecture", + "Saracen architecture", + "transition", + "transitional", + "Tudor architecture", + "Tuscan architecture", + "Victorian architecture", + "Cambodian Khmer architecture", + "Buddhist architecture", + "New Indies architecture", + "French Colonial architecture", + "Spanish Colonial architecture", + "Vernacular", + "Neo-Tropical", + "Bilateral Symmetry", + "Horizontal emphasis", + "Cosmological concept architecture", + "Imperial architecture", + "Relgious architecture", + "Confucius era", + "Hui Style architecture", + "Shanxi architecture", + "Lingnan architecture", + "Cantonese architecture", + "Minnan architecture", + "Hokkien architecture", + "Hakka architecture", + "Gan architecture", + "Yaodong architecture", + "Tibetan architecture", + "Xinjiang architecture", + "Hutong architecture", + "Longtang architecture", + "Shikumen architecture", + "Shanghainese architecture", + "Meiji architecture", + "Taish\u014d architecture", + "Sh\u014dwa architecture", + "Heisei architecture", + "Meiji period", + "Taish\u014d period", + "Sh\u014dwa period", + "Heisei period", + "Japanese aesthetic", + "Chinese aesthetic", + "Korean aesthetic", + "Russian aesthetic", + "Eastern Roman", + "Pagan Roman", + "Kievan Rus architecture", + "Muscovite architecture", + "Imperial Russia architecture", + "Soviet Union architecture", + "Postwar Soviet architecture", + "Modern Russian architecture" + ], + "nationality": [ + "Afghan", + "Albanian", + "Algerian", + "American", + "Andorran", + "Angolan", + "Anguillan", + "Citizen of Antigua", + "Barbuda", + "Argentine", + "Armenian", + "Australian", + "Austrian", + "Azerbaijani", + "Bahamian", + "Bahraini", + "Bangladeshi", + "Barbadian", + "Belarusian", + "Belgian", + "Belizean", + "Beninese", + "Bermudian", + "Bhutanese", + "Bolivian", + "Citizen of Bosnia", + "Herzegovina", + "Botswanan", + "Brazilian", + "British", + "British Virgin Islander", + "Bruneian", + "Bulgarian", + "Burkinan", + "Burmese", + "Burundian", + "Cambodian", + "Cameroonian", + "Canadian", + "Cape Verdean", + "Cayman Islander", + "Central African", + "Chadian", + "Chilean", + "Chinese", + "Colombian", + "Comoran", + "Congolese (Congo)", + "Congolese (DRC)", + "Cook Islander", + "Costa Rican", + "Croatian", + "Cuban", + "Cymraes", + "Cymro", + "Cypriot", + "Czech", + "Danish", + "Djiboutian", + "Dominican", + "Citizen of the Dominican Republic", + "Dutch", + "East Timorese", + "Ecuadorean", + "Egyptian", + "Emirati", + "English", + "Equatorial Guinean", + "Eritrean", + "Estonian", + "Ethiopian", + "Faroese", + "Fijian", + "Filipino", + "Finnish", + "French", + "Gabonese", + "Gambian", + "Georgian", + "German", + "Ghanaian", + "Gibraltarian", + "Greek", + "Greenlandic", + "Grenadian", + "Guamanian", + "Guatemalan", + "Citizen of Guinea-Bissau", + "Guinean", + "Guyanese", + "Haitian", + "Honduran", + "Hong Konger", + "Hungarian", + "Icelandic", + "Indian", + "Indonesian", + "Iranian", + "Iraqi", + "Irish", + "Israeli", + "Italian", + "Ivorian", + "Jamaican", + "Japanese", + "Jordanian", + "Kazakh", + "Kenyan", + "Kittitian", + "Citizen of Kiribati", + "Kosovan", + "Kuwaiti", + "Kyrgyz", + "Lao", + "Latvian", + "Lebanese", + "Liberian", + "Libyan", + "Liechtenstein citizen", + "Lithuanian", + "Luxembourger", + "Macanese", + "Macedonian", + "Malagasy", + "Malawian", + "Malaysian", + "Maldivian", + "Malian", + "Maltese", + "Marshallese", + "Martiniquais", + "Mauritanian", + "Mauritian", + "Mexican", + "Micronesian", + "Moldovan", + "Monegasque", + "Mongolian", + "Montenegrin", + "Montserratian", + "Moroccan", + "Mosotho", + "Mozambican", + "Namibian", + "Nauruan", + "Nepalese", + "New Zealander", + "Nicaraguan", + "Nigerian", + "Nigerien", + "Niuean", + "North Korean", + "Northern Irish", + "Norwegian", + "Omani", + "Pakistani", + "Palauan", + "Palestinian", + "Panamanian", + "Papua New Guinean", + "Paraguayan", + "Peruvian", + "Pitcairn Islander", + "Polish", + "Portuguese", + "Prydeinig", + "Puerto Rican", + "Qatari", + "Romanian", + "Russian", + "Rwandan", + "Salvadorean", + "Sammarinese", + "Samoan", + "Sao Tomean", + "Saudi Arabian", + "Scottish", + "Senegalese", + "Serbian", + "Citizen of Seychelles", + "Sierra Leonean", + "Singaporean", + "Slovak", + "Slovenian", + "Solomon Islander", + "Somali", + "South African", + "South Korean", + "South Sudanese", + "Spanish", + "Sri Lankan", + "St Helenian", + "St Lucian", + "Stateless", + "Sudanese", + "Surinamese", + "Swazi", + "Swedish", + "Swiss", + "Syrian", + "Taiwanese", + "Tajik", + "Tanzanian", + "Thai", + "Togolese", + "Tongan", + "Trinidadian", + "Tristanian", + "Tunisian", + "Turkish", + "Turkmen", + "Turks", + "Caicos Islander", + "Tuvaluan", + "Ugandan", + "Ukrainian", + "Uruguayan", + "Uzbek", + "Vatican citizen", + "Citizen of Vanuatu", + "Venezuelan", + "Vietnamese", + "Vincentian", + "Wallisian", + "Welsh", + "Yemeni", + "Zambian", + "Zimbabwean" + ], + "pop-location": [ + "The Grand Canyon, Arizona", + "Rome, Italy", + "Maui, Hawaii", + "Masai Mara, Kenya", + "New Zealand", + "Istanbul, Turkey", + "Angkor Wat, Cambodia", + "London, England", + "Manhattan, New York", + "Paris, France", + "Montreal, Canada", + "San Francisco, California", + "Hong Kong", + "Marrakesh, Morocco", + "Cartagena, Columbia", + "Bali, Indonesia", + "New Orleans, Louisiana", + "Kerry, Ireland", + "Marrakesh, Morocco", + "The Maldives", + "Cape Town, South Africa", + "Dubai, U.A.E.", + "Bora Bora, French Polynesia", + "Dubrovnik, Croatia", + "Edinburgh, Scotland", + "Paro Valley, Bhutan", + "Jaipur, India", + "Waikato, New Zealand", + "Havana, Cuba", + "Tokyo, Japan", + "Antarctica", + "Vancouver, Canada", + "Los Angeles, California", + "Kruger National Park, South Africa", + "Santorini, Greece", + "Moscow, Russia", + "Singapore", + "London, England", + "Rio de Janeiro, Brazil", + "Petra, Jordan", + "Hong Kong", + "Barbabos", + "Amsterdam, Netherlands", + "Santiago, Chile", + "Cairo, Egypt", + "Copenhagen, Denmark", + "Seoul, Korea", + "Laucala Island Resort, Fiji", + "Providencia, Colombia", + "Machu Picchu, Peru", + "Virunga National Park, Democratic Republic of Congo", + "Lisbon, Portugal", + "Hanoi, Vietnam", + "Hawaii", + "Ibiza, Spain", + "Beijing, China", + "Budapest, Hungary", + "Cinque Terre, Italy", + "Buenos Aires, Argentina", + "Las Vegas", + "Matterhorn, Switzerland", + "Tahiti", + "Turks & Caicos, Dominican Republic", + "Phuket, Thailand", + "Glacier National Park, Montana", + "Banff, Alberta", + "Costa Rica", + "Machu Picchu, Peru", + "Sydney, Australia", + "Lucia, Caribbean", + "Great Barrier Reef, Australia", + "Florence, Italy", + "Santorini, Greece", + "Yellowstone", + "Yosemite National Park, California", + "Amalfi Coast, Italy", + "Victoria Falls" + ], + "pop-culture": [ + "3DO Interactive Multiplayer", + "A Clockwork Orange (1971)", + "Adventure Time", + "Agent 007", + "Ahh! Real Monsters", + "Alien (1979)", + "Aliens (1986)", + "Animaniacs", + "Atari", + "Attack on Titan", + "Batman", + "Batman: The Animated Series", + "BeastWars", + "Beetlejuice", + "Ben Hur", + "Black Lagoon", + "Blade Runner", + "Blazing Saddles", + "Bleach", + "Braveheart (1995)", + "Breakfast at Tiffany's", + "Call of Duty", + "Call of Duty Modern Warfare", + "Casablanca", + "CatDog", + "Chip 'n Dale: Rescue Rangers", + "Close Encounters of the Third Kind", + "Code Geass", + "Comic-Con", + "Contact (1997)", + "Courage the Cowardly Dog", + "Cowboy Bebop", + "Danger Mouse", + "Dark Souls", + "Darkwing Duck", + "Death Note", + "Demons Souls", + "Dexter's Laboratory", + "Die Hard", + "Digimon", + "Dragon Ball", + "Dragon Ball GT", + "Dragon Ball Super", + "Dragon Ball Z", + "E.T. the Extra-Terrestrial (1982)", + "Earthworm Jim", + "Elden Ring", + "Ewoks", + "FLCL", + "Fooly Cooly", + "Fortnite", + "Full Metal Jacket (1987)", + "Fullmetal Alchemist", + "Futurama", + "Game Boy", + "Game Boy Advance", + "Game Boy Color", + "Game Boy SP", + "Gargoyles", + "George Lucas", + "Ghostbusters", + "Goldfinger", + "Gone with the Wind (1939)", + "Gundam", + "He-Man and the Masters of the Universe", + "Hellsing", + "Inuyasha", + "James Bond", + "Johnny Bravo", + "Jurassic Park", + "Jurassic Park III", + "Jurassic World", + "Jurassic World Dominion", + "Jurassic World Fallen Kingdom", + "Justice League", + "King Kong", + "M.A.S.H.", + "MASH", + "Mad Max", + "Mad Max 2: The Road Warrior", + "Mad Max Beyond Thunderdome", + "Mad Max: Fury Road", + "Magic: The Gathering", + "MechWarrior", + "Mega Man", + "Megan Man X", + "Metabots", + "Michael Crichton", + "Mighty Max", + "Naruto", + "Neon Genesis Evangelion", + "Nintendo", + "Nintendo 3DS", + "Nintendo 64", + "Nintendo DS", + "Nintendo Entertainment System", + "Nintendo Switch", + "Nintendo Wii", + "Nintendo WiiU", + "Overwatch", + "PAX", + "PC Engine", + "Pinky and the Brain", + "Planet of the Apes", + "Pokemon", + "Poltergeist (1982)", + "Pulp Fiction", + "Raiders of the Lost Ark (1981)", + "Rainbow Brite", + "ReBoot (1994)", + "Regular Show", + "Robotech", + "Rocko\u2019s Modern Life", + "Rugrats", + "SEGA", + "Samurai Jack", + "Scary Stories to Tell in the Dark", + "She-Ra: Princess of Power", + "Singing in the Rain", + "Sony Playstation", + "Sony Playstation 2", + "Sony Playstation 3", + "Sony Playstation 4", + "Sony Playstation 5", + "Space Dandy", + "Spider-Man", + "Spiderman", + "Star Wars (1977)", + "Star Wars: Episode V - The Empire Strikes Back (1980)", + "Starcraft", + "Steven King", + "Steven Spielberg", + "Stranger Things", + "Street Sharks", + "Super Mario Bros.", + "Super Nintendo", + "Superman", + "T-1000", + "T-600", + "T-800", + "TaleSpin", + "Teenage Mutant Ninja Turtles", + "Terminator 3", + "Terminator Dark Fate", + "Terminator Genysis", + "Terminator Salvation", + "The Day the Earth Stood Still", + "The Day the Earth Stood Still (1951)", + "The Godfather", + "The Grim Adventures of Billy and Mandy", + "The Hulk", + "The Lord of the Rings: The Fellowship of the Ring (2001)", + "The Lost World", + "The Matrix", + "The New Adventures of Johnny Quest", + "The Poseidon Adventure (1972)", + "The Ren & Stimpy Show", + "The Simpsons", + "The Terminator", + "The Terminator 2: Judgement Day", + "The Thing from Another World (1951)", + "The Wizard of Oz (1939)", + "Thundercats", + "Titanic (1997)", + "Total Recall", + "Toxic Crusaders", + "Transformers", + "Trigun", + "War for the Planet of the Apes", + "WarCraft", + "Wizard of the Coast", + "X-Men", + "Xenomorphs", + "Yu Yu Hakusho" + ], + "site": [ + "trending on ArtStation", + "trending on ConceptArtWorld", + "trending on Flickr", + "trending on Behance", + "trending on 500px", + "trending on Getty Images", + "trending on DeviantArt", + "trending on Pixiv", + "trending on IllustrationX", + "trending on CGSociety", + "trending on Unsplash", + "trending on Google Images", + "trending on Pinterest", + "trending on Sketchfab", + "trending on Artsy", + "National Gallery of Art Highlights", + "trending on Saatchi Art" + ], + "style": [ + "Tempera", + "Oil Paints", + "Acrylic Paints", + "Watercolors", + "Charcoals", + "Pastels", + "Chalks", + "Graphite Pencils", + "Color Pencils", + "Ink and Pen", + "Digital Paintings", + "Vector Art", + "3D Renderings", + "3D Path Tracing", + "3D Ray Tracing", + "3D Sculpting", + "Matte Paintings", + "Digital Matte Paintings", + "2D Animation", + "Concept Artist", + "Fractal Art", + "Algorithmic Art", + "Data-Moshing", + "Dynamic Paintings", + "Digital Collage", + "2D Digital Paintings", + "3D Digital Paintings", + "Integrated Arts", + "Mixed-Medium Arts", + "Raster Paintings", + "Miniature", + "Diorama", + "Terrarium", + "Done in LEGO", + "Paper Cut Out", + "Voxel", + "Pixel Art", + "Low Poly", + "PSX GRAPHICS", + "Retro Graphics", + "Generative Art", + "Play-Doh", + "Botanical Drawing", + "Technical drawing", + "Optical Illusion" + ], + "hd": [ + "2k resolution", + "4k resolution", + "8k resolution", + "12k resolution", + "16k resolution", + "32k resolution", + "High resolution", + "High definition", + "HD", + "HDR", + "Blu-ray", + "HD-DVD" + ], + "aspect-ratio": [ + "4:3 aspect ratio", + "5:4 aspect ratio", + "2:1 aspect ratio", + "1.33:1 aspect ratio", + "16:9 aspect ratio", + "1.85:1 aspect ratio", + "2.39:1 anamorphic aspect ratio", + "2.76:1 (70mm) aspect ratio", + "1.37:1 (Academy) aspect ratio", + "2.59:1 (Cinerama) aspect ratio", + "2.65:1 (Cinerama) aspect ratio", + "2.35:1 (Cinemascope) aspect ratio", + "2.66:1 (Cinemascope) aspect ratio" + ], + "3d-terms": [ + "2D Sprite", + "Ambient Lighting", + "Ambient Occlusion", + "Anti-aliasing", + "Augmented Reality", + "Bitmap", + "Cel shading", + "Chromatic Abberation", + "Direct Lighting", + "Flat shading", + "FXAA", + "Global Illumination", + "Indirect Illumination", + "Lumen Global Illumination", + "Manhattan Distance", + "Microdisplacement", + "Nanite Geometry", + "Path Traced", + "PBR Material", + "Phong Shading", + "Physically based rendering (PBR)", + "Post Processed", + "Procedural Generation", + "Procedural Texture", + "Raster graphics", + "Ray Traced", + "Screen space ambient occlusion", + "Skybox", + "Terrain rendering", + "Tesselation", + "Virtual reality", + "Volumetric Lighting", + "Voronoi Manhattan", + "Voronoi Minkowski", + "Voxel Engine", + "Voxel Geometry", + "Wireframe Model", + "Wireframe Rendering" + ], + "color-palette": [ + "Teletext palette", + "Apple II palette", + "Commodore VIC-20 palette", + "CGA for IBM-PC palette", + "Commodore 64 palette", + "ZX Spectrum palette", + "Mattel Aquarius palette", + "MSX systems color palette", + "Thomson MO5 color palette", + "Commodore Plus/4 color palette", + "Amstrad CPC color palette", + "MSX2 systems color palette", + "Fujitsu FM-77 AV 40 color palette", + "EGA for IBM PC/AT color palette", + "Atari ST color palette", + "Commodore Amiga OCS color palette", + "Apple IIgs color palette", + "Sharp X68000 color palette", + "Atari 2600 color palette", + "Famicom/NES color palette", + "Sega Master System color palette", + "NEC PC-Engine color palette", + "TurboGrafx-16 color palette", + "Sega Mega Drive color palette", + "Sega Genesis color palette", + "Nintendo Game Boy color palette", + "Sega Game Gear color palette", + "Super Famicom/SNES color palette", + "Nintendo Game Boy Color palette", + "Nintendo Game Boy Advance color palette", + "Monochrome color palette", + "3-bit color palette", + "4-bit color palette", + "6-bit color palette", + "8-bit color palette", + "9-bit color palette", + "12-bit color palette", + "16-bit color palette", + "18-bit color palette", + "24-bit color palette", + "30-bit color palette", + "32-bit color palette" + ], + "camera": [ + "Canon EOS Rebel T7 DSLR Camera", + "Sony a7 IV Mirrorless Camera", + "Canon EOS R6 Mirrorless Camera", + "Canon EOS 5D Mark IV DSLR Camera", + "Sony a6600 Mirrorless Camera", + "Canon EOS Rebel T7 DSLR Camera", + "Canon EOS R6 Mirrorless Camera", + "Canon EOS 5D Mark IV DSLR Camera", + "Canon EOS RP Mirrorless Camera", + "Canon EOS Rebel T8i DSLR Camera", + "Canon EOS R5 Mirrorless Camera", + "Canon EOS R Mirrorless Camera", + "Canon EOS M6 Mark II Mirrorless Camera", + "Canon EOS M50 Mark II Mirrorless Camera", + "Canon EOS 90D DSLR Camera", + "Sony a7 IV Mirrorless Camera", + "Sony a6600 Mirrorless Camera", + "Sony a7 III Mirrorless Camera", + "Sony a6400 Mirrorless Camera", + "Sony a7R IV Mirrorless Camera", + "Sony a7S III Mirrorless Camera", + "Sony ZV-E10 Mirrorless Camera", + "Sony a9 II Mirrorless Camera", + "Sony a7C Mirrorless Camera", + "Sony a6100 Mirrorless Camera", + "Nikon Z6 II Mirrorless Camera", + "Nikon Z7 II Mirrorless Camera", + "Nikon D3500 DSLR Camera", + "Nikon D850 DSLR Camera", + "Nikon Z fc Mirrorless Camera", + "Nikon D7500 DSLR Camera", + "Nikon Z5 Mirrorless Camera", + "Fujifilm X-H2S Mirrorless Camera", + "Fujifilm X-T30 II Mirrorless Camera", + "Panasonic Lumix G7 Mirrorless Camera", + "Fujifilm X-S10 Mirrorless Camera", + "Panasonic Lumix GH6 Mirrorless Camera", + "Fujifilm X-T4 Mirrorless Camera", + "Panasonic Lumix GH5 II Mirrorless Camera", + "Vest Pocket Autographic Kodak Camera", + "Kodak 616 Junior Camera", + "Kodak 35 Camera", + "Kodak PIXPRO FZ43 16MP Digital Camera", + "Kodak PIXPRO AZ252 16.15MP Digital Camera", + "Kodak PIXPRO FZ152 16MP Digital Camera", + "Kodak PIXPRO AZ241 16.15MP Digital Camera", + "Kodak PIXPRO AZ401 16MP Digital Camera", + "Kodak Smile 10MP Digital Camera", + "Yashica T4 Camera", + "Konica Hexar AF Camera", + "Nikon L35AF Camera", + "Olympus XA2 Camera", + "Olympus OM-1 Camera", + "Nikon F2 Camera", + "Nikon FE Camera", + "Pentax 67 Camera", + "Pentax K1000 Camera", + "Canon AE-1 Camera", + "Canon A2/A2e Camera", + "Plaubel Makina W67 Camera", + "Lubitel 2", + "Kodak No 3A Folding Pocket Camera", + "Canon G III QL17 Camera", + "Polaroid SX-70 Alpha Camera", + "Graflex Century Graphic 2\u00d73 Camera", + "Pentacon Six TL Camera", + "Zenza Bronica ETRSi Camera", + "Hasselblad 500C Camera", + "Contax G1/G2 Camera", + "Leica M3 Double Stroke Camera", + "Leica M6 Camera", + "Horseman 4\u00d75 (45HD) Camera", + "Mamiya 7 II Camera" + ], + "camera-manu": [ + "Canon", + "Nikon", + "Sony", + "Fujifilm", + "Olympus", + "Panasonic", + "Pentax", + "Leica", + "Hasselblad", + "Kodak" + ], + "f-stop": [ + "\u0192/1", + "\u0192/1.4", + "\u01922", + "\u0192/2.8", + "\u01924", + "\u0192/5.6", + "\u0192/8", + "\u0192/11", + "\u0192/16", + "\u0192/22" + ], + "iso-stop": [ + "ISO 100", + "ISO 200", + "ISO 400", + "ISO 800", + "ISO 1600", + "ISO 3200", + "ISO 6400", + "ISO 12500", + "ISO 25600", + "ISO 51200", + "ISO 102400", + "ISO 204800", + "ISO 409600" + ], + "focal-length": [ + "4mm - 14mm focal length", + "Fisheye focal length", + "14mm - 35mm focal length", + "Wide angle focal length", + "35mm - 85mm focal length", + "Standard focal length", + "85mm - 135mm", + "Short telephoto focal length", + "135mm+ focal length", + "Medium telephoto focal length", + "300mm+ focal length", + "Macro", + "Macro focal length" + ], + "photo-term": [ + "Bokeh", + "Depth of Field", + "DoF", + "Digital Camera", + "Optical Camera", + "Long Exposure", + "Short Exposure", + "Over Exposed", + "Focused" + ], + "adj-general": [ + "abandoned", + "able", + "absolute", + "adorable", + "adventurous", + "academic", + "acceptable", + "acclaimed", + "accomplished", + "accurate", + "aching", + "acidic", + "acrobatic", + "active", + "actual", + "adept", + "admirable", + "admired", + "adolescent", + "adorable", + "adored", + "advanced", + "afraid", + "affectionate", + "aged", + "aggravating", + "aggressive", + "agile", + "agitated", + "agonizing", + "agreeable", + "ajar", + "alarmed", + "alarming", + "alert", + "alienated", + "alive", + "all", + "altruistic", + "amazing", + "ambitious", + "ample", + "amused", + "amusing", + "anchored", + "ancient", + "angelic", + "angry", + "anguished", + "animated", + "annual", + "another", + "antique", + "anxious", + "any", + "apprehensive", + "appropriate", + "apt", + "arctic", + "arid", + "aromatic", + "artistic", + "ashamed", + "assured", + "astonishing", + "athletic", + "attached", + "attentive", + "attractive", + "austere", + "authentic", + "authorized", + "automatic", + "avaricious", + "average", + "aware", + "awesome", + "awful", + "awkward", + "babyish", + "bad", + "back", + "baggy", + "bare", + "barren", + "basic", + "beautiful", + "belated", + "beloved", + "beneficial", + "better", + "best", + "bewitched", + "big", + "big-hearted", + "biodegradable", + "bite-sized", + "bitter", + "black", + "black-and-white", + "bland", + "blank", + "blaring", + "bleak", + "blind", + "blissful", + "blond", + "blue", + "blushing", + "bogus", + "boiling", + "bold", + "bony", + "boring", + "bossy", + "both", + "bouncy", + "bountiful", + "bowed", + "brave", + "breakable", + "brief", + "bright", + "brilliant", + "brisk", + "broken", + "bronze", + "brown", + "bruised", + "bubbly", + "bulky", + "bumpy", + "buoyant", + "burdensome", + "burly", + "bustling", + "busy", + "buttery", + "buzzing", + "calculating", + "calm", + "candid", + "canine", + "capital", + "carefree", + "careful", + "careless", + "caring", + "cautious", + "cavernous", + "celebrated", + "charming", + "cheap", + "cheerful", + "cheery", + "chief", + "chilly", + "chubby", + "circular", + "classic", + "clean", + "clear", + "clear-cut", + "clever", + "close", + "closed", + "cloudy", + "clueless", + "clumsy", + "cluttered", + "coarse", + "cold", + "colorful", + "colorless", + "colossal", + "comfortable", + "common", + "compassionate", + "competent", + "complete", + "complex", + "complicated", + "composed", + "concerned", + "concrete", + "confused", + "conscious", + "considerate", + "constant", + "content", + "conventional", + "cooked", + "cool", + "cooperative", + "coordinated", + "corny", + "corrupt", + "costly", + "courageous", + "courteous", + "crafty", + "crazy", + "creamy", + "creative", + "creepy", + "criminal", + "crisp", + "critical", + "crooked", + "crowded", + "cruel", + "crushing", + "cuddly", + "cultivated", + "cultured", + "cumbersome", + "curly", + "curvy", + "cute", + "cylindrical", + "damaged", + "damp", + "dangerous", + "dapper", + "daring", + "darling", + "dark", + "dazzling", + "dead", + "deadly", + "deafening", + "dear", + "dearest", + "decent", + "decimal", + "decisive", + "deep", + "defenseless", + "defensive", + "defiant", + "deficient", + "definite", + "definitive", + "delayed", + "delectable", + "delicious", + "delightful", + "delirious", + "demanding", + "dense", + "dental", + "dependable", + "dependent", + "descriptive", + "deserted", + "detailed", + "determined", + "devoted", + "different", + "difficult", + "digital", + "diligent", + "dim", + "dimpled", + "dimwitted", + "direct", + "disastrous", + "discrete", + "disfigured", + "disgusting", + "disloyal", + "dismal", + "distant", + "downright", + "dreary", + "dirty", + "disguised", + "dishonest", + "dismal", + "distant", + "distinct", + "distorted", + "dizzy", + "dopey", + "doting", + "double", + "downright", + "drab", + "drafty", + "dramatic", + "dreary", + "droopy", + "dry", + "dual", + "dull", + "dutiful", + "each", + "eager", + "earnest", + "early", + "easy", + "easy-going", + "ecstatic", + "edible", + "educated", + "elaborate", + "elastic", + "elated", + "elderly", + "electric", + "elegant", + "elementary", + "elliptical", + "embarrassed", + "embellished", + "eminent", + "emotional", + "empty", + "enchanted", + "enchanting", + "energetic", + "enlightened", + "enormous", + "enraged", + "entire", + "envious", + "equal", + "equatorial", + "essential", + "esteemed", + "ethical", + "euphoric", + "even", + "evergreen", + "everlasting", + "every", + "evil", + "exalted", + "excellent", + "exemplary", + "exhausted", + "excitable", + "excited", + "exciting", + "exotic", + "expensive", + "experienced", + "expert", + "extraneous", + "extroverted", + "extra-large", + "extra-small", + "fabulous", + "failing", + "faint", + "fair", + "faithful", + "fake", + "false", + "familiar", + "famous", + "fancy", + "fantastic", + "far", + "faraway", + "far-flung", + "far-off", + "fast", + "fat", + "fatal", + "fatherly", + "favorable", + "favorite", + "fearful", + "fearless", + "feisty", + "feline", + "female", + "feminine", + "few", + "fickle", + "filthy", + "fine", + "finished", + "firm", + "first", + "firsthand", + "fitting", + "fixed", + "flaky", + "flamboyant", + "flashy", + "flat", + "flawed", + "flawless", + "flickering", + "flimsy", + "flippant", + "flowery", + "fluffy", + "fluid", + "flustered", + "focused", + "fond", + "foolhardy", + "foolish", + "forceful", + "forked", + "formal", + "forsaken", + "forthright", + "fortunate", + "fragrant", + "frail", + "frank", + "frayed", + "free", + "French", + "fresh", + "frequent", + "friendly", + "frightened", + "frightening", + "frigid", + "frilly", + "frizzy", + "frivolous", + "front", + "frosty", + "frozen", + "frugal", + "fruitful", + "full", + "fumbling", + "functional", + "funny", + "fussy", + "fuzzy", + "gargantuan", + "gaseous", + "general", + "generous", + "gentle", + "genuine", + "giant", + "giddy", + "gigantic", + "gifted", + "giving", + "glamorous", + "glaring", + "glass", + "gleaming", + "gleeful", + "glistening", + "glittering", + "gloomy", + "glorious", + "glossy", + "glum", + "golden", + "good", + "good-natured", + "gorgeous", + "graceful", + "gracious", + "grand", + "grandiose", + "granular", + "grateful", + "grave", + "gray", + "great", + "greedy", + "green", + "gregarious", + "grim", + "grimy", + "gripping", + "grizzled", + "gross", + "grotesque", + "grouchy", + "grounded", + "growing", + "growling", + "grown", + "grubby", + "gruesome", + "grumpy", + "guilty", + "gullible", + "gummy", + "hairy", + "half", + "handmade", + "handsome", + "handy", + "happy", + "happy-go-lucky", + "hard", + "hard-to-find", + "harmful", + "harmless", + "harmonious", + "harsh", + "hasty", + "hateful", + "haunting", + "healthy", + "heartfelt", + "hearty", + "heavenly", + "heavy", + "hefty", + "helpful", + "helpless", + "hidden", + "hideous", + "high", + "high-level", + "hilarious", + "hoarse", + "hollow", + "homely", + "honest", + "honorable", + "honored", + "hopeful", + "horrible", + "hospitable", + "hot", + "huge", + "humble", + "humiliating", + "humming", + "humongous", + "hungry", + "hurtful", + "husky", + "icky", + "icy", + "ideal", + "idealistic", + "identical", + "idle", + "idiotic", + "idolized", + "ignorant", + "ill", + "illegal", + "ill-fated", + "ill-informed", + "illiterate", + "illustrious", + "imaginary", + "imaginative", + "immaculate", + "immaterial", + "immediate", + "immense", + "impassioned", + "impeccable", + "impartial", + "imperfect", + "imperturbable", + "impish", + "impolite", + "important", + "impossible", + "impractical", + "impressionable", + "impressive", + "improbable", + "impure", + "inborn", + "incomparable", + "incompatible", + "incomplete", + "inconsequential", + "incredible", + "indelible", + "inexperienced", + "indolent", + "infamous", + "infantile", + "infatuated", + "inferior", + "infinite", + "informal", + "innocent", + "insecure", + "insidious", + "insignificant", + "insistent", + "instructive", + "insubstantial", + "intelligent", + "intent", + "intentional", + "interesting", + "internal", + "international", + "intrepid", + "ironclad", + "irresponsible", + "irritating", + "itchy", + "jaded", + "jagged", + "jam-packed", + "jaunty", + "jealous", + "jittery", + "joint", + "jolly", + "jovial", + "joyful", + "joyous", + "jubilant", + "judicious", + "juicy", + "jumbo", + "junior", + "jumpy", + "juvenile", + "kaleidoscopic", + "keen", + "key", + "kind", + "kindhearted", + "kindly", + "klutzy", + "knobby", + "knotty", + "knowledgeable", + "knowing", + "known", + "kooky", + "kosher", + "lame", + "lanky", + "large", + "last", + "lasting", + "late", + "lavish", + "lawful", + "lazy", + "leading", + "lean", + "leafy", + "left", + "legal", + "legitimate", + "light", + "lighthearted", + "likable", + "likely", + "limited", + "limp", + "limping", + "linear", + "lined", + "liquid", + "little", + "live", + "lively", + "livid", + "loathsome", + "lone", + "lonely", + "long", + "long-term", + "loose", + "lopsided", + "lost", + "loud", + "lovable", + "lovely", + "loving", + "low", + "loyal", + "lucky", + "lumbering", + "luminous", + "lumpy", + "lustrous", + "luxurious", + "mad", + "made-up", + "magnificent", + "majestic", + "major", + "male", + "mammoth", + "married", + "marvelous", + "masculine", + "massive", + "mature", + "meager", + "mealy", + "mean", + "measly", + "meaty", + "medical", + "mediocre", + "medium", + "meek", + "mellow", + "melodic", + "memorable", + "menacing", + "merry", + "messy", + "metallic", + "mild", + "milky", + "mindless", + "miniature", + "minor", + "minty", + "miserable", + "miserly", + "misguided", + "misty", + "mixed", + "modern", + "modest", + "moist", + "monstrous", + "monthly", + "monumental", + "moral", + "mortified", + "motherly", + "motionless", + "mountainous", + "muddy", + "muffled", + "multicolored", + "mundane", + "murky", + "mushy", + "musty", + "muted", + "mysterious", + "naive", + "narrow", + "nasty", + "natural", + "naughty", + "nautical", + "near", + "neat", + "necessary", + "needy", + "negative", + "neglected", + "negligible", + "neighboring", + "nervous", + "new", + "next", + "nice", + "nifty", + "nimble", + "nippy", + "nocturnal", + "noisy", + "nonstop", + "normal", + "notable", + "noted", + "noteworthy", + "novel", + "noxious", + "numb", + "nutritious", + "nutty", + "obedient", + "obese", + "oblong", + "oily", + "oblong", + "obvious", + "occasional", + "odd", + "oddball", + "offbeat", + "offensive", + "official", + "old", + "old-fashioned", + "only", + "open", + "optimal", + "optimistic", + "opulent", + "orange", + "orderly", + "organic", + "ornate", + "ornery", + "ordinary", + "original", + "other", + "our", + "outlying", + "outgoing", + "outlandish", + "outrageous", + "outstanding", + "oval", + "overcooked", + "overdue", + "overjoyed", + "overlooked", + "palatable", + "pale", + "paltry", + "parallel", + "parched", + "partial", + "passionate", + "past", + "pastel", + "peaceful", + "peppery", + "perfect", + "perfumed", + "periodic", + "perky", + "personal", + "pertinent", + "pesky", + "pessimistic", + "petty", + "phony", + "physical", + "piercing", + "pink", + "pitiful", + "plain", + "plaintive", + "plastic", + "playful", + "pleasant", + "pleased", + "pleasing", + "plump", + "plush", + "polished", + "polite", + "political", + "pointed", + "pointless", + "poised", + "poor", + "popular", + "portly", + "posh", + "positive", + "possible", + "potable", + "powerful", + "powerless", + "practical", + "precious", + "present", + "prestigious", + "pretty", + "precious", + "previous", + "pricey", + "prickly", + "primary", + "prime", + "pristine", + "private", + "prize", + "probable", + "productive", + "profitable", + "profuse", + "proper", + "proud", + "prudent", + "punctual", + "pungent", + "puny", + "pure", + "purple", + "pushy", + "putrid", + "puzzled", + "puzzling", + "quaint", + "qualified", + "quarrelsome", + "quarterly", + "queasy", + "querulous", + "questionable", + "quick", + "quick-witted", + "quiet", + "quintessential", + "quirky", + "quixotic", + "quizzical", + "radiant", + "ragged", + "rapid", + "rare", + "rash", + "raw", + "recent", + "reckless", + "rectangular", + "ready", + "real", + "realistic", + "reasonable", + "red", + "reflecting", + "regal", + "regular", + "reliable", + "relieved", + "remarkable", + "remorseful", + "remote", + "repentant", + "required", + "respectful", + "responsible", + "repulsive", + "revolving", + "rewarding", + "rich", + "rigid", + "right", + "ringed", + "ripe", + "roasted", + "robust", + "rosy", + "rotating", + "rotten", + "rough", + "round", + "rowdy", + "royal", + "rubbery", + "rundown", + "ruddy", + "rude", + "runny", + "rural", + "rusty", + "sad", + "safe", + "salty", + "same", + "sandy", + "sane", + "sarcastic", + "sardonic", + "satisfied", + "scaly", + "scarce", + "scared", + "scary", + "scented", + "scholarly", + "scientific", + "scornful", + "scratchy", + "scrawny", + "second", + "secondary", + "second-hand", + "secret", + "self-assured", + "self-reliant", + "selfish", + "sentimental", + "separate", + "serene", + "serious", + "serpentine", + "several", + "severe", + "shabby", + "shadowy", + "shady", + "shallow", + "shameful", + "shameless", + "sharp", + "shimmering", + "shiny", + "shocked", + "shocking", + "shoddy", + "short", + "short-term", + "showy", + "shrill", + "shy", + "sick", + "silent", + "silky", + "silly", + "silver", + "similar", + "simple", + "simplistic", + "sinful", + "single", + "sizzling", + "skeletal", + "skinny", + "sleepy", + "slight", + "slim", + "slimy", + "slippery", + "slow", + "slushy", + "small", + "smart", + "smoggy", + "smooth", + "smug", + "snappy", + "snarling", + "sneaky", + "sniveling", + "snoopy", + "sociable", + "soft", + "soggy", + "solid", + "somber", + "some", + "spherical", + "sophisticated", + "sore", + "sorrowful", + "soulful", + "soupy", + "sour", + "Spanish", + "sparkling", + "sparse", + "specific", + "spectacular", + "speedy", + "spicy", + "spiffy", + "spirited", + "spiteful", + "splendid", + "spotless", + "spotted", + "spry", + "square", + "squeaky", + "squiggly", + "stable", + "staid", + "stained", + "stale", + "standard", + "starchy", + "stark", + "starry", + "steep", + "sticky", + "stiff", + "stimulating", + "stingy", + "stormy", + "straight", + "strange", + "steel", + "strict", + "strident", + "striking", + "striped", + "strong", + "studious", + "stunning", + "stupendous", + "stupid", + "sturdy", + "stylish", + "subdued", + "submissive", + "substantial", + "subtle", + "suburban", + "sudden", + "sugary", + "sunny", + "super", + "superb", + "superficial", + "superior", + "supportive", + "sure-footed", + "surprised", + "suspicious", + "svelte", + "sweaty", + "sweet", + "sweltering", + "swift", + "sympathetic", + "tall", + "talkative", + "tame", + "tan", + "tangible", + "tart", + "tasty", + "tattered", + "taut", + "tedious", + "teeming", + "tempting", + "tender", + "tense", + "tepid", + "terrible", + "terrific", + "testy", + "thankful", + "that", + "these", + "thick", + "thin", + "third", + "thirsty", + "this", + "thorough", + "thorny", + "those", + "thoughtful", + "threadbare", + "thrifty", + "thunderous", + "tidy", + "tight", + "timely", + "tinted", + "tiny", + "tired", + "torn", + "total", + "tough", + "traumatic", + "treasured", + "tremendous", + "tragic", + "trained", + "tremendous", + "triangular", + "tricky", + "trifling", + "trim", + "trivial", + "troubled", + "true", + "trusting", + "trustworthy", + "trusty", + "truthful", + "tubby", + "turbulent", + "twin", + "ugly", + "ultimate", + "unacceptable", + "unaware", + "uncomfortable", + "uncommon", + "unconscious", + "understated", + "unequaled", + "uneven", + "unfinished", + "unfit", + "unfolded", + "unfortunate", + "unhappy", + "unhealthy", + "uniform", + "unimportant", + "unique", + "united", + "unkempt", + "unknown", + "unlawful", + "unlined", + "unlucky", + "unnatural", + "unpleasant", + "unrealistic", + "unripe", + "unruly", + "unselfish", + "unsightly", + "unsteady", + "unsung", + "untidy", + "untimely", + "untried", + "untrue", + "unused", + "unusual", + "unwelcome", + "unwieldy", + "unwilling", + "unwitting", + "unwritten", + "upbeat", + "upright", + "upset", + "urban", + "usable", + "used", + "useful", + "useless", + "utilized", + "utter", + "vacant", + "vague", + "vain", + "valid", + "valuable", + "vapid", + "variable", + "vast", + "velvety", + "venerated", + "vengeful", + "verifiable", + "vibrant", + "vicious", + "victorious", + "vigilant", + "vigorous", + "villainous", + "violet", + "violent", + "virtual", + "virtuous", + "visible", + "vital", + "vivacious", + "vivid", + "voluminous", + "wan", + "warlike", + "warm", + "warmhearted", + "warped", + "wary", + "wasteful", + "watchful", + "waterlogged", + "watery", + "wavy", + "wealthy", + "weak", + "weary", + "webbed", + "wee", + "weekly", + "weepy", + "weighty", + "weird", + "welcome", + "well-documented", + "well-groomed", + "well-informed", + "well-lit", + "well-made", + "well-off", + "well-to-do", + "well-worn", + "wet", + "which", + "whimsical", + "whirlwind", + "whispered", + "white", + "whole", + "whopping", + "wicked", + "wide", + "wide-eyed", + "wiggly", + "wild", + "willing", + "wilted", + "winding", + "windy", + "winged", + "wiry", + "wise", + "witty", + "wobbly", + "woeful", + "wonderful", + "wooden", + "woozy", + "wordy", + "worldly", + "worn", + "worried", + "worrisome", + "worse", + "worst", + "worthless", + "worthwhile", + "worthy", + "wrathful", + "wretched", + "writhing", + "wrong", + "wry", + "yawning", + "yearly", + "yellow", + "yellowish", + "young", + "youthful", + "yummy", + "zany", + "zealous", + "zesty", + "zigzag" + ], + "noun-general": [ + "ability", + "abroad", + "abuse", + "access", + "accident", + "account", + "act", + "action", + "active", + "activity", + "actor", + "ad", + "addition", + "address", + "administration", + "adult", + "advance", + "advantage", + "advertising", + "advice", + "affair", + "affect", + "afternoon", + "age", + "agency", + "agent", + "agreement", + "air", + "airline", + "airport", + "alarm", + "alcohol", + "alternative", + "ambition", + "amount", + "analysis", + "analyst", + "anger", + "angle", + "animal", + "annual", + "answer", + "anxiety", + "anybody", + "anything", + "anywhere", + "apartment", + "appeal", + "appearance", + "apple", + "application", + "appointment", + "area", + "argument", + "arm", + "army", + "arrival", + "art", + "article", + "aside", + "ask", + "aspect", + "assignment", + "assist", + "assistance", + "assistant", + "associate", + "association", + "assumption", + "atmosphere", + "attack", + "attempt", + "attention", + "attitude", + "audience", + "author", + "average", + "award", + "awareness", + "baby", + "back", + "background", + "bad", + "bag", + "bake", + "balance", + "ball", + "band", + "bank", + "bar", + "base", + "baseball", + "basis", + "basket", + "bat", + "bath", + "bathroom", + "battle", + "beach", + "bear", + "beat", + "beautiful", + "bed", + "bedroom", + "beer", + "beginning", + "being", + "bell", + "belt", + "bench", + "bend", + "benefit", + "bet", + "beyond", + "bicycle", + "bid", + "big", + "bike", + "bill", + "bird", + "birth", + "birthday", + "bit", + "bite", + "bitter", + "black", + "blame", + "blank", + "blind", + "block", + "blood", + "blow", + "blue", + "board", + "boat", + "body", + "bone", + "bonus", + "book", + "boot", + "border", + "boring", + "boss", + "bother", + "bottle", + "bottom", + "bowl", + "box", + "boy", + "boyfriend", + "brain", + "branch", + "brave", + "bread", + "break", + "breakfast", + "breast", + "breath", + "brick", + "bridge", + "brief", + "brilliant", + "broad", + "brother", + "brown", + "brush", + "buddy", + "budget", + "bug", + "building", + "bunch", + "burn", + "bus", + "business", + "button", + "buy", + "buyer", + "cabinet", + "cable", + "cake", + "calendar", + "call", + "calm", + "camera", + "camp", + "campaign", + "can", + "cancel", + "cancer", + "candidate", + "candle", + "candy", + "cap", + "capital", + "car", + "card", + "care", + "career", + "carpet", + "carry", + "case", + "cash", + "cat", + "catch", + "category", + "cause", + "celebration", + "cell", + "chain", + "chair", + "challenge", + "champion", + "championship", + "chance", + "change", + "channel", + "chapter", + "character", + "charge", + "charity", + "chart", + "check", + "cheek", + "chemical", + "chemistry", + "chest", + "chicken", + "child", + "childhood", + "chip", + "chocolate", + "choice", + "church", + "cigarette", + "city", + "claim", + "class", + "classic", + "classroom", + "clerk", + "click", + "client", + "climate", + "clock", + "closet", + "clothes", + "cloud", + "club", + "clue", + "coach", + "coast", + "coat", + "code", + "coffee", + "cold", + "collar", + "collection", + "college", + "combination", + "combine", + "comfort", + "comfortable", + "command", + "comment", + "commercial", + "commission", + "committee", + "common", + "communication", + "community", + "company", + "comparison", + "competition", + "complaint", + "complex", + "computer", + "concentrate", + "concept", + "concern", + "concert", + "conclusion", + "condition", + "conference", + "confidence", + "conflict", + "confusion", + "connection", + "consequence", + "consideration", + "consist", + "constant", + "construction", + "contact", + "contest", + "context", + "contract", + "contribution", + "control", + "conversation", + "convert", + "cook", + "cookie", + "copy", + "corner", + "cost", + "count", + "counter", + "country", + "county", + "couple", + "courage", + "course", + "court", + "cousin", + "cover", + "cow", + "crack", + "craft", + "crash", + "crazy", + "cream", + "creative", + "credit", + "crew", + "criticism", + "cross", + "cry", + "culture", + "cup", + "currency", + "current", + "curve", + "customer", + "cut", + "cycle", + "dad", + "damage", + "dance", + "dare", + "dark", + "data", + "database", + "date", + "daughter", + "day", + "dead", + "deal", + "dealer", + "dear", + "death", + "debate", + "debt", + "decision", + "deep", + "definition", + "degree", + "delay", + "delivery", + "demand", + "department", + "departure", + "dependent", + "deposit", + "depression", + "depth", + "description", + "design", + "designer", + "desire", + "desk", + "detail", + "development", + "device", + "devil", + "diamond", + "diet", + "difference", + "difficulty", + "dig", + "dimension", + "dinner", + "direction", + "director", + "dirt", + "disaster", + "discipline", + "discount", + "discussion", + "disease", + "dish", + "disk", + "display", + "distance", + "distribution", + "district", + "divide", + "doctor", + "document", + "dog", + "door", + "dot", + "double", + "doubt", + "draft", + "drag", + "drama", + "draw", + "drawer", + "drawing", + "dream", + "dress", + "drink", + "drive", + "driver", + "drop", + "drunk", + "due", + "dump", + "dust", + "duty", + "ear", + "earth", + "ease", + "east", + "eat", + "economics", + "economy", + "edge", + "editor", + "education", + "effect", + "effective", + "efficiency", + "effort", + "egg", + "election", + "elevator", + "emergency", + "emotion", + "emphasis", + "employ", + "employee", + "employer", + "employment", + "end", + "energy", + "engine", + "engineer", + "engineering", + "entertainment", + "enthusiasm", + "entrance", + "entry", + "environment", + "equal", + "equipment", + "equivalent", + "error", + "escape", + "essay", + "establishment", + "estate", + "estimate", + "evening", + "event", + "evidence", + "exam", + "examination", + "example", + "exchange", + "excitement", + "excuse", + "exercise", + "exit", + "experience", + "expert", + "explanation", + "expression", + "extension", + "extent", + "external", + "extreme", + "eye", + "face", + "fact", + "factor", + "failure", + "fall", + "familiar", + "family", + "fan", + "farm", + "farmer", + "fat", + "father", + "fault", + "fear", + "feature", + "fee", + "feed", + "feedback", + "feel", + "feeling", + "female", + "few", + "field", + "fight", + "figure", + "file", + "fill", + "film", + "final", + "finance", + "finding", + "finger", + "finish", + "fire", + "fish", + "fishing", + "fix", + "flight", + "floor", + "flow", + "flower", + "fly", + "focus", + "fold", + "following", + "food", + "foot", + "football", + "force", + "forever", + "form", + "formal", + "fortune", + "foundation", + "frame", + "freedom", + "friend", + "friendship", + "front", + "fruit", + "fuel", + "fun", + "function", + "funeral", + "funny", + "future", + "gain", + "game", + "gap", + "garage", + "garbage", + "garden", + "gas", + "gate", + "gather", + "gear", + "gene", + "general", + "gift", + "girl", + "girlfriend", + "give", + "glad", + "glass", + "glove", + "go", + "goal", + "god", + "gold", + "golf", + "good", + "government", + "grab", + "grade", + "grand", + "grandfather", + "grandmother", + "grass", + "great", + "green", + "grocery", + "ground", + "group", + "growth", + "guarantee", + "guard", + "guess", + "guest", + "guidance", + "guide", + "guitar", + "guy", + "habit", + "hair", + "half", + "hall", + "hand", + "handle", + "hang", + "harm", + "hat", + "hate", + "head", + "health", + "hearing", + "heart", + "heat", + "heavy", + "height", + "hell", + "hello", + "help", + "hide", + "high", + "highlight", + "highway", + "hire", + "historian", + "history", + "hit", + "hold", + "hole", + "holiday", + "home", + "homework", + "honey", + "hook", + "hope", + "horror", + "horse", + "hospital", + "host", + "hotel", + "hour", + "house", + "housing", + "human", + "hunt", + "hurry", + "hurt", + "husband", + "ice", + "idea", + "ideal", + "if", + "illegal", + "image", + "imagination", + "impact", + "implement", + "importance", + "impress", + "impression", + "improvement", + "incident", + "income", + "increase", + "independence", + "independent", + "indication", + "individual", + "industry", + "inevitable", + "inflation", + "influence", + "information", + "initial", + "initiative", + "injury", + "insect", + "inside", + "inspection", + "inspector", + "instance", + "instruction", + "insurance", + "intention", + "interaction", + "interest", + "internal", + "international", + "internet", + "interview", + "introduction", + "investment", + "invite", + "iron", + "island", + "issue", + "it", + "item", + "jacket", + "job", + "join", + "joint", + "joke", + "judge", + "judgment", + "juice", + "jump", + "junior", + "jury", + "keep", + "key", + "kick", + "kid", + "kill", + "kind", + "king", + "kiss", + "kitchen", + "knee", + "knife", + "knowledge", + "lab", + "lack", + "ladder", + "lady", + "lake", + "land", + "landscape", + "language", + "laugh", + "law", + "lawyer", + "lay", + "layer", + "lead", + "leader", + "leadership", + "leading", + "league", + "leather", + "leave", + "lecture", + "leg", + "length", + "lesson", + "let", + "letter", + "level", + "library", + "lie", + "life", + "lift", + "light", + "limit", + "line", + "link", + "lip", + "list", + "listen", + "literature", + "living", + "load", + "loan", + "local", + "location", + "lock", + "log", + "long", + "look", + "loss", + "love", + "low", + "luck", + "lunch", + "machine", + "magazine", + "mail", + "main", + "maintenance", + "major", + "make", + "male", + "mall", + "man", + "management", + "manager", + "manner", + "manufacturer", + "many", + "map", + "march", + "mark", + "market", + "marketing", + "marriage", + "master", + "match", + "mate", + "material", + "math", + "matter", + "maximum", + "maybe", + "meal", + "meaning", + "measurement", + "meat", + "media", + "medicine", + "medium", + "meet", + "meeting", + "member", + "membership", + "memory", + "mention", + "menu", + "mess", + "message", + "metal", + "method", + "middle", + "midnight", + "might", + "milk", + "mind", + "mine", + "minimum", + "minor", + "minute", + "mirror", + "miss", + "mission", + "mistake", + "mix", + "mixture", + "mobile", + "mode", + "model", + "mom", + "moment", + "money", + "monitor", + "month", + "mood", + "morning", + "mortgage", + "most", + "mother", + "motor", + "mountain", + "mouse", + "mouth", + "move", + "movie", + "mud", + "muscle", + "music", + "nail", + "name", + "nasty", + "nation", + "national", + "native", + "natural", + "nature", + "neat", + "necessary", + "neck", + "negative", + "negotiation", + "nerve", + "net", + "network", + "news", + "newspaper", + "night", + "nobody", + "noise", + "normal", + "north", + "nose", + "note", + "nothing", + "notice", + "novel", + "number", + "nurse", + "object", + "objective", + "obligation", + "occasion", + "offer", + "office", + "officer", + "official", + "oil", + "one", + "opening", + "operation", + "opinion", + "opportunity", + "opposite", + "option", + "orange", + "order", + "ordinary", + "organization", + "original", + "other", + "outcome", + "outside", + "oven", + "owner", + "pace", + "pack", + "package", + "page", + "pain", + "paint", + "painting", + "pair", + "panic", + "paper", + "parent", + "park", + "parking", + "part", + "particular", + "partner", + "party", + "pass", + "passage", + "passenger", + "passion", + "past", + "path", + "patience", + "patient", + "pattern", + "pause", + "pay", + "payment", + "peace", + "peak", + "pen", + "penalty", + "pension", + "people", + "percentage", + "perception", + "performance", + "period", + "permission", + "permit", + "person", + "personal", + "personality", + "perspective", + "phase", + "philosophy", + "phone", + "photo", + "phrase", + "physical", + "physics", + "piano", + "pick", + "picture", + "pie", + "piece", + "pin", + "pipe", + "pitch", + "pizza", + "place", + "plan", + "plane", + "plant", + "plastic", + "plate", + "platform", + "play", + "player", + "pleasure", + "plenty", + "poem", + "poet", + "poetry", + "point", + "police", + "policy", + "politics", + "pollution", + "pool", + "pop", + "population", + "position", + "positive", + "possession", + "possibility", + "possible", + "post", + "pot", + "potato", + "potential", + "pound", + "power", + "practice", + "preference", + "preparation", + "presence", + "present", + "presentation", + "president", + "press", + "pressure", + "price", + "pride", + "priest", + "primary", + "principle", + "print", + "prior", + "priority", + "private", + "prize", + "problem", + "procedure", + "process", + "produce", + "product", + "profession", + "professional", + "professor", + "profile", + "profit", + "program", + "progress", + "project", + "promise", + "promotion", + "prompt", + "proof", + "property", + "proposal", + "protection", + "psychology", + "public", + "pull", + "punch", + "purchase", + "purple", + "purpose", + "push", + "put", + "quality", + "quantity", + "quarter", + "queen", + "question", + "quiet", + "quit", + "quote", + "race", + "radio", + "rain", + "raise", + "range", + "rate", + "ratio", + "raw", + "reach", + "reaction", + "read", + "reading", + "reality", + "reason", + "reception", + "recipe", + "recognition", + "recommendation", + "record", + "recording", + "recover", + "red", + "reference", + "reflection", + "refrigerator", + "refuse", + "region", + "register", + "regret", + "regular", + "relation", + "relationship", + "relative", + "release", + "relief", + "remote", + "remove", + "rent", + "repair", + "repeat", + "replacement", + "reply", + "report", + "representative", + "republic", + "reputation", + "request", + "requirement", + "research", + "reserve", + "resident", + "resist", + "resolution", + "resolve", + "resort", + "resource", + "respect", + "respond", + "response", + "responsibility", + "rest", + "restaurant", + "result", + "return", + "reveal", + "revenue", + "review", + "revolution", + "reward", + "rice", + "rich", + "ride", + "ring", + "rip", + "rise", + "risk", + "river", + "road", + "rock", + "role", + "roll", + "roof", + "room", + "rope", + "rough", + "round", + "routine", + "row", + "royal", + "rub", + "ruin", + "rule", + "run", + "rush", + "sad", + "safe", + "safety", + "sail", + "salad", + "salary", + "sale", + "salt", + "sample", + "sand", + "sandwich", + "satisfaction", + "save", + "savings", + "scale", + "scene", + "schedule", + "scheme", + "school", + "science", + "score", + "scratch", + "screen", + "screw", + "script", + "sea", + "search", + "season", + "seat", + "second", + "secret", + "secretary", + "section", + "sector", + "security", + "selection", + "self", + "sell", + "senior", + "sense", + "sensitive", + "sentence", + "series", + "serve", + "service", + "session", + "set", + "setting", + "sex", + "shake", + "shame", + "shape", + "share", + "she", + "shelter", + "shift", + "shine", + "ship", + "shirt", + "shock", + "shoe", + "shoot", + "shop", + "shopping", + "shot", + "shoulder", + "show", + "shower", + "sick", + "side", + "sign", + "signal", + "signature", + "significance", + "silly", + "silver", + "simple", + "sing", + "singer", + "single", + "sink", + "sir", + "sister", + "site", + "situation", + "size", + "skill", + "skin", + "skirt", + "sky", + "sleep", + "slice", + "slide", + "slip", + "smile", + "smoke", + "snow", + "society", + "sock", + "soft", + "software", + "soil", + "solid", + "solution", + "somewhere", + "son", + "song", + "sort", + "sound", + "soup", + "source", + "south", + "space", + "spare", + "speaker", + "special", + "specialist", + "specific", + "speech", + "speed", + "spell", + "spend", + "spirit", + "spiritual", + "spite", + "split", + "sport", + "spot", + "spray", + "spread", + "spring", + "square", + "stable", + "staff", + "stage", + "stand", + "standard", + "star", + "start", + "state", + "statement", + "station", + "status", + "stay", + "steak", + "steal", + "step", + "stick", + "still", + "stock", + "stomach", + "stop", + "storage", + "store", + "storm", + "story", + "strain", + "stranger", + "strategy", + "street", + "strength", + "stress", + "stretch", + "strike", + "string", + "strip", + "stroke", + "structure", + "struggle", + "student", + "studio", + "study", + "stuff", + "stupid", + "style", + "subject", + "substance", + "success", + "suck", + "sugar", + "suggestion", + "suit", + "summer", + "sun", + "supermarket", + "support", + "surgery", + "surprise", + "surround", + "survey", + "suspect", + "sweet", + "swim", + "swimming", + "swing", + "switch", + "sympathy", + "system", + "table", + "tackle", + "tale", + "talk", + "tank", + "tap", + "target", + "task", + "taste", + "tax", + "tea", + "teach", + "teacher", + "teaching", + "team", + "tear", + "technology", + "telephone", + "television", + "tell", + "temperature", + "temporary", + "tennis", + "tension", + "term", + "test", + "text", + "thanks", + "theme", + "theory", + "thing", + "thought", + "throat", + "ticket", + "tie", + "till", + "time", + "tip", + "title", + "today", + "toe", + "tomorrow", + "tone", + "tongue", + "tonight", + "tool", + "tooth", + "top", + "topic", + "total", + "touch", + "tough", + "tour", + "tourist", + "towel", + "tower", + "town", + "track", + "trade", + "tradition", + "traffic", + "train", + "trainer", + "training", + "transition", + "transportation", + "trash", + "travel", + "treat", + "tree", + "trick", + "trip", + "trouble", + "truck", + "trust", + "truth", + "try", + "tune", + "turn", + "twist", + "two", + "type", + "uncle", + "understanding", + "union", + "unique", + "unit", + "university", + "upper", + "upstairs", + "use", + "user", + "usual", + "vacation", + "valuable", + "value", + "variation", + "variety", + "vast", + "vegetable", + "vehicle", + "version", + "video", + "view", + "village", + "virus", + "visit", + "visual", + "voice", + "volume", + "wait", + "wake", + "walk", + "wall", + "war", + "warning", + "wash", + "watch", + "water", + "wave", + "way", + "weakness", + "wealth", + "wear", + "weather", + "web", + "wedding", + "week", + "weekend", + "weight", + "weird", + "welcome", + "west", + "western", + "wheel", + "whereas", + "while", + "white", + "whole", + "wife", + "will", + "win", + "wind", + "window", + "wine", + "wing", + "winner", + "winter", + "wish", + "witness", + "woman", + "wonder", + "wood", + "word", + "work", + "worker", + "working", + "world", + "worry", + "worth", + "wrap", + "writer", + "writing", + "yard", + "year", + "yellow", + "yesterday", + "you", + "young", + "youth", + "zone" + ], + "color": [ + "Absolute Zero", + "Acid green", + "Aero", + "African violet", + "Air superiority blue", + "Alabaster", + "Alice blue", + "Alizarin", + "Alloy orange", + "Almond", + "Amaranth", + "Amaranth deep purple", + "Amaranth pink", + "Amaranth purple", + "Amazon", + "Amber", + "Amber (SAE/ECE)", + "Amethyst", + "Android green", + "Antique brass", + "Antique bronze", + "Antique fuchsia", + "Antique ruby", + "Antique white", + "Apricot", + "Aqua", + "Aquamarine", + "Arctic lime", + "Artichoke green", + "Arylide yellow", + "Ash gray", + "Atomic tangerine", + "Aureolin", + "Azure", + "Azure (X11/web color)", + "Baby blue", + "Baby blue eyes", + "Baby pink", + "Baby powder", + "Baker-Miller pink", + "Banana Mania", + "Barbie Pink", + "Barn red", + "Battleship grey", + "Beau blue", + "Beaver", + "Beige", + "B'dazzled blue", + "Big dip o\u2019ruby", + "Bisque", + "Bistre", + "Bistre brown", + "Bitter lemon", + "Black", + "Black bean", + "Black coral", + "Black olive", + "Black Shadows", + "Blanched almond", + "Blast-off bronze", + "Bleu de France", + "Blizzard blue", + "Blood red", + "Blue", + "Blue (Crayola)", + "Blue (Munsell)", + "Blue (NCS)", + "Blue (Pantone)", + "Blue (pigment)", + "Blue bell", + "Blue-gray", + "Blue jeans", + "Blue sapphire", + "Blue-violet", + "Blue yonder", + "Bluetiful", + "Blush", + "Bole", + "Bone", + "Brick red", + "Bright green", + "Bright lilac", + "Bright maroon", + "Bright navy blue", + "Bright yellow (Crayola)", + "British racing green", + "Bronze", + "Brown", + "Brown sugar", + "Brunswick green", + "Bud green", + "Buff", + "Burgundy", + "Burlywood", + "Burnished brown", + "Burnt orange", + "Burnt sienna", + "Burnt umber", + "Byzantine", + "Byzantium", + "Cadet", + "Cadet blue", + "Cadet grey", + "Cadmium green", + "Cadmium orange", + "Cadmium red", + "Cadmium yellow", + "Caf\u00e9 au lait", + "Caf\u00e9 noir", + "Cambridge blue", + "Camel", + "Cameo pink", + "Canary", + "Canary yellow", + "Candy apple red", + "Candy pink", + "Capri", + "Cardinal", + "Caribbean green", + "Carmine", + "Carmine (M&P)", + "Carnation pink", + "Carnelian", + "Carolina blue", + "Carrot orange", + "Catawba", + "Cedar Chest", + "Celadon", + "Celeste", + "Celtic blue", + "Cerise", + "Cerulean", + "Cerulean blue", + "Cerulean frost", + "Cerulean (Crayola)", + "Champagne", + "Champagne pink", + "Charcoal", + "Charleston green", + "Charm pink", + "Chartreuse (web)", + "Cherry blossom pink", + "Chestnut", + "Chili red", + "China pink", + "Chinese red", + "Chinese violet", + "Chinese yellow", + "Chocolate (traditional)", + "Chocolate (web)", + "Chocolate Cosmos", + "Cinereous", + "Cinnabar", + "Cinnamon Satin", + "Citrine", + "Citron", + "Claret", + "Cobalt blue", + "Coffee", + "Columbia Blue", + "Congo pink", + "Cool grey", + "Copper", + "Copper (Crayola)", + "Copper penny", + "Copper red", + "Copper rose", + "Coquelicot", + "Coral", + "Coral pink", + "Cordovan", + "Corn", + "Cornflower blue ", + "Cornsilk", + "Cosmic cobalt", + "Cosmic latte", + "Coyote brown", + "Cotton candy", + "Cream", + "Crimson", + "Crimson (UA)", + "Cultured", + "Cyan", + "Cyan (process)", + "Cyber grape", + "Cyber yellow", + "Cyclamen", + "Dark blue-gray", + "Dark brown", + "Dark byzantium", + "Dark cyan", + "Dark electric blue", + "Dark goldenrod", + "Dark green (X11)", + "Dark jungle green", + "Dark khaki", + "Dark lava", + "Dark liver", + "Dark liver (horses)", + "Dark magenta", + "Dark olive green", + "Dark orange", + "Dark orchid", + "Dark purple", + "Dark red", + "Dark salmon", + "Dark sea green", + "Dark sienna", + "Dark sky blue", + "Dark slate blue", + "Dark slate gray", + "Dark spring green", + "Dark turquoise", + "Dark violet", + "Davy's grey", + "Deep cerise", + "Deep champagne", + "Deep chestnut", + "Deep jungle green", + "Deep pink", + "Deep saffron", + "Deep sky blue", + "Deep Space Sparkle", + "Deep taupe", + "Denim", + "Denim blue", + "Desert", + "Desert sand", + "Dim gray", + "Dodger blue", + "Drab", + "Duke blue", + "Dutch white", + "Earth yellow", + "Ebony", + "Ecru", + "Eerie black", + "Eggplant", + "Eggshell", + "Egyptian blue", + "Electric blue", + "Electric indigo", + "Electric lime", + "Electric purple", + "Electric violet", + "Emerald", + "Eminence", + "English lavender", + "English red", + "English vermillion", + "English violet", + "Erin", + "Eton blue", + "Fallow", + "Falu red", + "Fandango", + "Fandango pink", + "Fawn", + "Fern green", + "Field drab", + "Fiery rose", + "Finn", + "Firebrick", + "Fire engine red", + "Flame", + "Flax", + "Flirt", + "Floral white", + "Fluorescent blue", + "Forest green (web)", + "French beige", + "French bistre", + "French blue", + "French fuchsia", + "French lilac", + "French lime", + "French mauve", + "French pink", + "French raspberry", + "French sky blue", + "French violet", + "Frostbite", + "Fuchsia", + "Fuchsia (Crayola)", + "Fuchsia purple", + "Fulvous", + "Fuzzy Wuzzy", + "Gainsboro", + "Gamboge", + "Generic viridian", + "Ghost white", + "Glaucous", + "Glossy grape", + "GO green", + "Gold", + "Gold (metallic)", + "Gold (web) (Golden)", + "Gold (Crayola)", + "Gold Fusion", + "Golden brown", + "Golden poppy", + "Golden yellow", + "Goldenrod", + "Gotham green", + "Granite gray", + "Granny Smith apple", + "Gray (web)", + "Gray (X11 gray)", + "Green", + "Green (Crayola)", + "Green (web)", + "Green (Munsell)", + "Green (NCS)", + "Green (Pantone)", + "Green (pigment)", + "Green (RYB)", + "Green-blue", + "Green-blue (Crayola)", + "Green-cyan", + "Green Lizard", + "Green Sheen", + "Green-yellow", + "Green-yellow (Crayola)", + "Grenadier", + "Grullo", + "Gunmetal", + "Han blue", + "Han purple", + "Hansa yellow", + "Harlequin", + "Harvest gold", + "Heat Wave", + "Heliotrope", + "Heliotrope gray", + "Hollywood cerise", + "Honeydew", + "Honolulu blue", + "Hooker's green", + "Hot magenta", + "Hot pink", + "Hunter green", + "Iceberg", + "Icterine", + "Illuminating emerald", + "Imperial red", + "Inchworm", + "Independence", + "India green", + "Indian red", + "Indian yellow", + "Indigo", + "Indigo dye", + "Infrared", + "International Klein Blue", + "International orange (aerospace)", + "International orange (engineering)", + "International orange (Golden Gate Bridge)", + "Iris", + "Irresistible", + "Isabelline", + "Italian sky blue", + "Ivory", + "Jade", + "Japanese carmine", + "Japanese violet", + "Jasmine", + "Jazzberry jam", + "Jet", + "Jonquil", + "June bud", + "Jungle green", + "Kelly green", + "Keppel", + "Key lime", + "Khaki (web)", + "Khaki (X11) (Light khaki)", + "Kobe", + "Kobi", + "Kobicha", + "Kombu green", + "KSU purple", + "Languid lavender", + "Lapis lazuli", + "Laser lemon", + "Laurel green", + "Lava", + "Lavender (floral)", + "Lavender (web)", + "Lavender blue", + "Lavender blush", + "Lavender gray", + "Lawn green", + "Lemon", + "Lemon chiffon", + "Lemon curry", + "Lemon glacier", + "Lemon meringue", + "Lemon yellow", + "Lemon yellow (Crayola)", + "Liberty", + "Light blue", + "Light coral", + "Light cornflower blue", + "Light cyan", + "Light French beige", + "Light goldenrod yellow", + "Light gray", + "Light green", + "Light orange", + "Light periwinkle", + "Light pink", + "Light salmon", + "Light sea green", + "Light sky blue", + "Light slate gray", + "Light steel blue", + "Light yellow", + "Lilac", + "Lilac Luster", + "Lime (color wheel)", + "Lime (web) (X11 green)", + "Lime green", + "Lincoln green", + "Linen", + "Lion", + "Liseran purpl", + "Little boy blue", + "Liver", + "Liver (dogs)", + "Liver (organ)", + "Liver chestnut", + "Livid", + "Macaroni and Cheese", + "Madder Lake", + "Magenta", + "Magenta (Crayola)", + "Magenta (dye)", + "Magenta (Pantone)", + "Magenta (process)", + "Magenta haze", + "Magic mint", + "Magnolia", + "Mahogany", + "Maize", + "Maize (Crayola)", + "Majorelle blue", + "Malachite", + "Manatee", + "Mandarin", + "Mango", + "Mango Tango", + "Mantis", + "Mardi Gras", + "Marigold", + "Maroon (Crayola)", + "Maroon (web)", + "Maroon (X11)", + "Mauve", + "Mauve taupe", + "Mauvelous", + "Maximum blue", + "Maximum blue green", + "Maximum blue purple", + "Maximum green", + "Maximum green yellow", + "Maximum purple", + "Maximum red", + "Maximum red purple", + "Maximum yellow", + "Maximum yellow red", + "May green", + "Maya blue", + "Medium aquamarine", + "Medium blue", + "Medium candy apple red", + "Medium carmine", + "Medium champagne", + "Medium orchid", + "Medium purple", + "Medium sea green", + "Medium slate blue", + "Medium spring green", + "Medium turquoise", + "Medium violet-red", + "Mellow apricot", + "Mellow yellow", + "Melon", + "Metallic gold", + "Metallic Seaweed", + "Metallic Sunburst", + "Mexican pink", + "Middle blue", + "Middle blue green", + "Middle blue purple", + "Middle grey", + "Middle green", + "Middle green yellow", + "Middle purple", + "Middle red", + "Middle red purple", + "Middle yellow", + "Middle yellow red", + "Midnight", + "Midnight blue", + "Midnight green (eagle green)", + "Mikado yellow", + "Mimi pink", + "Mindaro", + "Ming", + "Minion yellow", + "Mint", + "Mint cream", + "Mint green", + "Misty moss", + "Misty rose", + "Mode beige", + "Mona Lisa", + "Morning blue", + "Moss green", + "Mountain Meadow", + "Mountbatten pink", + "MSU green", + "Mulberry", + "Mulberry", + "Mustard", + "Myrtle green", + "Mystic", + "Mystic maroon", + "Nadeshiko pink", + "Naples yellow", + "Navajo white", + "Navy blue", + "Navy blue (Crayola)", + "Neon blue", + "Neon Carrot", + "Neon green", + "Neon fuchsia", + "Netflix red", + "New York pink", + "Nickel", + "Non-photo blue", + "Nyanza", + "Ocean Blue", + "Ocean green", + "Ochre", + "Old burgundy", + "Old gold", + "Old lace", + "Old lavender", + "Old mauve", + "Old rose", + "Old silver", + "Olive", + "Olive green", + "Olivine", + "Onyx", + "Opal", + "Opera mauve", + "Orange", + "Orange (Crayola)", + "Orange (Pantone)", + "Orange (web)", + "Orange peel", + "Orange-red", + "Orange-red (Crayola)", + "Orange soda", + "Orange-yellow", + "Orange-yellow (Crayola)", + "Orchid", + "Orchid pink", + "Orchid (Crayola)", + "Outer space (Crayola)", + "Outrageous Orange", + "Oxblood", + "Oxford blue", + "OU Crimson red", + "Pacific blue", + "Pakistan green", + "Palatinate purple", + "Pale aqua", + "Pale cerulean", + "Pale Dogwood", + "Pale pink", + "Pale purple (Pantone)", + "Pale silver", + "Pale spring bud", + "Pansy purple", + "Paolo Veronese green", + "Papaya whip", + "Paradise pink", + "Parchment", + "Paris Green", + "Pastel pink", + "Patriarch", + "Paua", + "Payne's grey", + "Peach", + "Peach (Crayola)", + "Peach puff", + "Pear", + "Pearly purple", + "Periwinkle", + "Periwinkle (Crayola)", + "Permanent Geranium Lake", + "Persian blue", + "Persian green", + "Persian indigo", + "Persian orange", + "Persian pink", + "Persian plum", + "Persian red", + "Persian rose", + "Persimmon", + "Pewter Blue", + "Phlox", + "Phthalo blue", + "Phthalo green", + "Picotee blue", + "Pictorial carmine", + "Piggy pink", + "Pine green", + "Pine tree", + "Pink", + "Pink (Pantone)", + "Pink flamingo", + "Pink lace", + "Pink lavender", + "Pink Sherbet", + "Pistachio", + "Platinum", + "Plum", + "Plum (web)", + "Plump Purple", + "Polished Pine", + "Pomp and Power", + "Popstar", + "Portland Orange", + "Powder blue", + "Princeton orange", + "Process yellow", + "Prune", + "Prussian blue", + "Psychedelic purple", + "Puce", + "Pullman Brown (UPS Brown)", + "Pumpkin", + "Purple", + "Purple (web)", + "Purple (Munsell)", + "Purple (X11)", + "Purple mountain majesty", + "Purple navy", + "Purple pizzazz", + "Purple Plum", + "Purpureus", + "Queen blue", + "Queen pink", + "Quick Silver", + "Quinacridone magenta", + "Radical Red", + "Raisin black", + "Rajah", + "Raspberry", + "Raspberry glace", + "Raspberry rose", + "Raw sienna", + "Raw umber", + "Razzle dazzle rose", + "Razzmatazz", + "Razzmic Berry", + "Rebecca Purple", + "Red", + "Red (Crayola)", + "Red (Munsell)", + "Red (NCS)", + "Red (Pantone)", + "Red (pigment)", + "Red (RYB)", + "Red-orange", + "Red-orange (Crayola)", + "Red-orange (Color wheel)", + "Red-purple", + "Red Salsa", + "Red-violet", + "Red-violet (Crayola)", + "Red-violet (Color wheel)", + "Redwood ", + "Resolution blue", + "Rhythm", + "Rich black", + "Rich black (FOGRA29)", + "Rich black (FOGRA39)", + "Rifle green", + "Robin egg blue", + "Rocket metallic", + "Rojo Spanish red", + "Roman silver", + "Rose", + "Rose bonbon", + "Rose Dust", + "Rose ebony", + "Rose madder", + "Rose pink", + "Rose Pompadour", + "Rose quartz", + "Rose red", + "Rose taupe", + "Rose vale", + "Rosewood", + "Rosso corsa", + "Rosy brown", + "Royal blue (dark)", + "Royal blue (light)", + "Royal purple", + "Royal yellow", + "Ruber", + "Rubine red", + "Ruby", + "Ruby red", + "Rufous", + "Russet", + "Russian green", + "Russian violet", + "Rust", + "Rusty red", + "Sacramento State green", + "Saddle brown", + "Safety orange", + "Safety orange (blaze orange)", + "Safety yellow", + "Saffron", + "Sage", + "St. Patrick's blue", + "Salmon", + "Salmon pink", + "Sand", + "Sand dune", + "Sandy brown", + "Sap green", + "Sapphire", + "Sapphire blue", + "Sapphire (Crayola)", + "Satin sheen gold", + "Scarlet", + "Schauss pink", + "School bus yellow", + "Screamin' Green", + "Sea green", + "Sea green (Crayola)", + "Seance", + "Seal brown", + "Seashell", + "Secret", + "Selective yellow", + "Sepia", + "Shadow", + "Shadow blue", + "Shamrock green", + "Sheen green", + "Shimmering Blush", + "Shiny Shamrock", + "Shocking pink", + "Shocking pink (Crayola)", + "Sienna", + "Silver", + "Silver (Crayola)", + "Silver (Metallic)", + "Silver chalice", + "Silver pink", + "Silver sand", + "Sinopia", + "Sizzling Red", + "Sizzling Sunrise", + "Skobeloff", + "Sky blue", + "Sky blue (Crayola)", + "Sky magenta", + "Slate blue", + "Slate gray", + "Slimy green", + "Smitten", + "Smoky black", + "Snow", + "Solid pink", + "Sonic silver", + "Space cadet", + "Spanish bistre", + "Spanish blue", + "Spanish carmine", + "Spanish gray", + "Spanish green", + "Spanish orange", + "Spanish pink", + "Spanish red", + "Spanish sky blue", + "Spanish violet", + "Spanish viridian", + "Spring bud", + "Spring Frost", + "Spring green", + "Spring green (Crayola)", + "Star command blue", + "Steel blue", + "Steel pink", + "Steel Teal", + "Stil de grain yellow", + "Straw", + "Strawberry", + "Strawberry Blonde", + "Sugar Plum", + "Sunglow", + "Sunray", + "Sunset", + "Super pink", + "Sweet Brown", + "Syracuse Orange", + "Tan", + "Tan (Crayola)", + "Tangerine", + "Tango pink", + "Tart Orange", + "Taupe", + "Taupe gray", + "Tea green", + "Tea rose", + "Teal", + "Teal blue", + "Telemagenta", + "Tenn\u00e9 (tawny)", + "Terra cotta", + "Thistle", + "Thulian pink", + "Tickle Me Pink", + "Tiffany Blue", + "Timberwolf", + "Titanium yellow", + "Tomato", + "Tourmaline", + "Tropical rainforest", + "True Blue", + "Trypan Blue", + "Tufts blue", + "Tumbleweed", + "Turquoise", + "Turquoise blue", + "Turquoise green", + "Turtle green", + "Tuscan", + "Tuscan brown", + "Tuscan red", + "Tuscan tan", + "Tuscany", + "Twilight lavender", + "Tyrian purple", + "UA blue", + "UA red", + "Ultramarine", + "Ultramarine blue", + "Ultra pink", + "Ultra red", + "Umber", + "Unbleached silk", + "United Nations blue", + "University of Pennsylvania red", + "Unmellow yellow", + "UP Forest green", + "UP maroon", + "Upsdell red", + "Uranian blue", + "USAFA blue", + "Van Dyke brown", + "Vanilla", + "Vanilla ice", + "Vegas gold", + "Venetian red", + "Verdigris", + "Vermilion", + "Vermilion", + "Veronica", + "Violet", + "Violet (color wheel)", + "Violet (crayola)", + "Violet (RYB)", + "Violet (web)", + "Violet-blue", + "Violet-blue (Crayola)", + "Violet-red", + "Violet-red (PerBang)", + "Viridian", + "Viridian green", + "Vivid burgundy", + "Vivid sky blue", + "Vivid tangerine", + "Vivid violet", + "Volt", + "Warm black", + "Weezy Blue", + "Wheat", + "White", + "Wild blue yonder", + "Wild orchid", + "Wild Strawberry", + "Wild watermelon", + "Windsor tan", + "Wine", + "Wine dregs", + "Winter Sky", + "Wintergreen Dream", + "Wisteria", + "Wood brown", + "Xanadu", + "Xanthic", + "Xanthous", + "Yale Blue", + "Yellow", + "Yellow (Crayola)", + "Yellow (Munsell)", + "Yellow (NCS)", + "Yellow (Pantone)", + "Yellow (process)", + "Yellow (RYB)", + "Yellow-green", + "Yellow-green (Crayola)", + "Yellow-green (Color Wheel)", + "Yellow Orange", + "Yellow Orange (Color Wheel)", + "Yellow Sunshine", + "YInMn Blue", + "Zaffre", + "Zomp" + ], + "artist": [ + "Serge Birault", + "A.J.Casson", + "Aaron Douglas", + "Aaron Horkey", + "Aaron Jasinski", + "Aaron Siskind", + "Abbott Fuller Graves", + "Abbott Handerson Thayer", + "Abdel Hadi Al Gazzar", + "Abed Abdi", + "Abigail Larson", + "Abraham Mintchine", + "Abraham Pether", + "Abram Efimovich Arkhipov", + "Adam Elsheimer", + "Adam Hughes", + "Adam Martinakis", + "Adam Paquette", + "Adi Granov", + "Adolf Hir\u00e9my Hirschl", + "Adolf Hir\u00e9my-Hirschl", + "Adolph Gottlieb", + "Adolph Menzel", + "Adonna Khare", + "Adriaen van Ostade", + "Adriaen van Outrecht", + "Adrian Donoghue", + "Adrian Ghenie", + "Adrian Paul Allinson", + "Adrian Smith", + "Adrian Tomine", + "Adrianus Eversen", + "Afarin Sajedi", + "Affandi", + "Aggi Erguna", + "Agnes Cecile", + "Agnes Lawrence Pelton", + "Agnes Martin", + "Agostino Arrivabene", + "Agostino Tassi", + "Ai Weiwei", + "Ai Yazawa", + "Akihiko Yoshida", + "Akira Toriyama", + "Akos Major", + "Akseli Gallen-Kallela", + "Al Capp", + "Al Feldstein", + "Al Williamson", + "Alain Laboile", + "Alan Bean", + "Alan Davis", + "Alan Kenny", + "Alan Lee", + "Alan Moore", + "Alan Parry", + "Alan Schaller", + "Alasdair McLellan", + "Alastair Magnaldo", + "Alayna Lemmer", + "Albert Benois", + "Albert Bierstadt", + "Albert Bloch", + "Albert Dubois-Pillet", + "Albert Eckhout", + "Albert Edelfelt", + "Albert Gleizes", + "Albert Goodwin", + "Albert Joseph Moore", + "Albert Koetsier", + "Albert Kotin", + "Albert Lynch", + "Albert Marquet", + "Albert Pinkham Ryder", + "Albert Robida", + "Albert Servaes", + "Albert Tucker", + "Albert Watson", + "Alberto Biasi", + "Alberto Burri", + "Alberto Giacometti", + "Alberto Magnelli", + "Alberto Seveso", + "Alberto Sughi", + "Alberto Vargas", + "Albrecht Anker", + "Albrecht Durer", + "Alec Soth", + "Alejandro Burdisio", + "Alejandro Jodorowsky", + "Aleksey Savrasov", + "Aleksi Briclot", + "Alena Aenami", + "Alessandro Allori", + "Alessandro Barbucci", + "Alessandro Gottardo", + "Alessio Albi", + "Alex Alemany", + "Alex Andreev", + "Alex Colville", + "Alex Figini", + "Alex Garant", + "Alex Grey", + "Alex Gross", + "Alex Hirsch", + "Alex Horley", + "Alex Howitt", + "Alex Katz", + "Alex Maleev", + "Alex Petruk", + "Alex Prager", + "Alex Ross", + "Alex Russell Flint", + "Alex Schomburg", + "Alex Timmermans", + "Alex Toth", + "Alexander Archipenko", + "Alexander Bogen", + "Alexander Fedosav", + "Alexander Jansson", + "Alexander Kanoldt", + "Alexander McQueen", + "Alexander Millar", + "Alexander Milne Calder", + "Alexandr Averin", + "Alexandre Antigna", + "Alexandre Benois", + "Alexandre Cabanel", + "Alexandre Calame", + "Alexandre Jacovleff", + "Alexandre-Evariste Fragonard", + "Alexandre-\u00c9variste Fragonard", + "Alexei Harlamoff", + "Alexej von Jawlensky", + "Alexey Kurbatov", + "Alexis Gritchenko", + "Alfred Augustus Glendening", + "Alfred Cheney Johnston", + "Alfred Eisenstaedt", + "Alfred Guillou", + "Alfred Heber Hutty", + "Alfred Henry Maurer", + "Alfred Kelsner", + "Alfred Kubin", + "Alfred Munnings", + "Alfred Parsons", + "Alfred Sisley", + "Alfred Stevens", + "Alfredo Jaar", + "Algernon Blackwood", + "Alice Bailly", + "Alice Neel", + "Alice Pasquini", + "Alice Rahon", + "Alison Bechdel", + "Aliza Razell", + "Allen Williams", + "Allie Brosh", + "Allison Bechdel", + "Alma Thomas", + "Alois Arnegger", + "Alphonse Mucha", + "Alphonse Osbert", + "Alpo Jaakola", + "Alson Skinner Clark", + "Alvar Aalto", + "Alvaro Siza", + "Alvin Langdon Coburn", + "Alyssa Monks", + "Amadeo De Souza-Cardoso", + "Amadou Opa Bathily", + "Amanda Clark", + "Amanda Sage", + "Amandine Van Ray", + "Ambrosius Benson", + "Ambrosius Bosschaert", + "Am\u00e9d\u00e9e Guillemin", + "Amedee Ozenfant", + "Amedeo Modigliani", + "Amiet Cuno", + "Aminollah Rezaei", + "Amir Zand", + "Amy Earles", + "Amy Judd", + "Amy Sillman", + "Anato Finnstark", + "Anatoly Metlan", + "Anders Zorn", + "Ando Fuchs", + "Andre De Dienes", + "Andre Derain", + "Andre Kertesz", + "Andre Kohn", + "Andre Leblanc", + "Andr\u00e9 Lhote", + "Andr\u00e9 Masson", + "Andre Norton", + "Andre-Charles Boulle", + "Andrea Kowch", + "Andrea Mantegna", + "Andreas Achenbach", + "Andreas Franke", + "Andreas Gursky", + "Andreas Levers", + "Andreas Rocha", + "Andreas Vesalius", + "Andrei Arinouchkine", + "Andr\u00e9i Arinouchkine", + "Andrei Markin", + "Andrew Atroshenko", + "Andrew Ferez", + "Andrew Hem", + "Andrew Macara", + "Andrew Robinson", + "Andrew Wyeth", + "Andrey Remnev", + "Android Jones", + "Andrzej Sykut", + "Andy Fairhurst", + "Andy Goldsworthy", + "Andy Kehoe", + "Andy Warhol", + "Angela Barrett", + "Angela Sung", + "Angus McKie", + "Anish Kapoor", + "Anita Malfatti", + "Anja Millen", + "Anja Percival", + "Anka Zhuravleva", + "Ann Stookey", + "Anna Ancher", + "Anna and Elena Balbusso", + "Anna Bocek", + "Anna Dittmann", + "Anna Razumovskaya", + "Anne Bachelier", + "Anne Brigman", + "Anne Dewailly", + "Anne Mccaffrey", + "Anne Packard", + "Anne Rothenstein", + "Anne Stokes", + "Anne Sudworth", + "Anne Truitt", + "Anne-Louis Girodet", + "Anni Albers", + "Annibale Carracci", + "Annick Bouvattier", + "Annie Soudain", + "Annie Swynnerton", + "Ansel Adams", + "Anselm Kiefer", + "Antanas Sutkus", + "Anthony Gerace", + "Anthony Thieme", + "Anthony van Dyck", + "Anto Carte", + "Antoine Blanchard", + "Antoine Verney-Carron", + "Anton Corbijn", + "Anton Domenico Gabbiani", + "Anton Fadeev", + "Anton Mauve", + "Anton Otto Fischer", + "Anton Pieck", + "Anton Raphael Mengs", + "Anton Semenov", + "Antonello da Messina", + "Antoni Gaudi", + "Antonio Canova", + "Antonio Donghi", + "Antonio J. Manzanedo", + "Antonio Mancini", + "Antonio Mora", + "Antonio Roybal", + "Antony Gormley", + "Apollinary Vasnetsov", + "Apollonia Saintclair", + "Aquirax Uno", + "Archibald Thorburn", + "Aries Moross", + "Arik Brauer", + "Aristarkh Lentulov", + "Aristide Maillol", + "Arkhyp Kuindzhi", + "Arman Manookian", + "Armand Guillaumin", + "Armand Point", + "Arnold Bocklin", + "Arnold B\u00f6cklin", + "Arnold Schoenberg", + "Aron Demetz", + "Aron Wiesenfeld", + "Arshile Gorky", + "Art Fitzpatrick", + "Art Frahm", + "Art Spiegelman", + "Artem Chebokha", + "Artemisia Gentileschi", + "Artgerm", + "Arthur Adams", + "Arthur Boyd", + "Arthur Dove", + "Arthur Garfield Dove", + "Arthur Hacker", + "Arthur Hughes", + "Arthur Lismer", + "Arthur Rackham", + "Arthur Radebaugh", + "Arthur Sarnoff", + "Arthur Stanley Wilkinson", + "Arthur Streeton", + "Arthur Tress", + "Arthur Wardle", + "Artur Bordalo", + "Arturo Souto", + "Artus Scheiner", + "Ary Scheffer", + "Asaf Hanuka", + "Asger Jorn", + "Asher Brown Durand", + "Ashley Willerton", + "Ashley Wood", + "Atay Ghailan", + "Atelier Olschinsky", + "Atey Ghailan", + "Aubrey Beardsley", + "Audrey Kawasaki", + "August Friedrich Schenck", + "August Macke", + "August Sander", + "August von Pettenkofen", + "Auguste Herbin", + "Auguste Mambour", + "Auguste Toulmouche", + "Augustus Edwin Mulready", + "Augustus Jansson", + "Augustus John", + "Austin Osman Spare", + "Axel T\u00f6rneman", + "Ayami Kojima", + "Ayan Nag", + "Aykut Aydogdu", + "Bakemono Zukushi", + "Balthus", + "Banksy", + "Barbara Hepworth", + "Barbara Kruger", + "Barbara Stauffacher Solomon", + "Barbara Takenaga", + "Barclay Shaw", + "Barkley L. Hendricks", + "Barnett Newman", + "Barry McGee", + "Barry Windsor Smith", + "Bart Sears", + "Barthel Bruyn the Elder", + "Barthel Bruyn the Younger", + "Bartolome Esteban Murillo", + "Basil Gogos", + "Bastien Lecouffe-Deharme", + "Bayard Wu", + "Beatrix Potter", + "Beauford Delaney", + "Becky Cloonan", + "Beeple", + "Bella Kotak", + "Ben Aronson", + "Ben Goossens", + "Ben Hatke", + "Ben Nicholson", + "Ben Quilty", + "Ben Shahn", + "Ben Templesmith", + "Ben Wooten", + "Benedetto Caliari", + "Benedick Bana", + "Benoit B. Mandelbrot", + "Berend Strik", + "Bernard Aubertin", + "Bernard Buffet", + "Bernardo Bellotto", + "Bernardo Strozzi", + "Berndnaut Smilde", + "Bernie Wrightson", + "Bert Hardy", + "Bert Stern", + "Berthe Morisot", + "Bertil Nilsson", + "Bess Hamiti", + "Beth Conklin", + "Bettina Rheims", + "Bhupen Khakhar", + "Bijou Karman", + "Bill Brandt", + "Bill Brauer", + "Bill Carman", + "Bill Durgin", + "Bill Gekas", + "Bill Henson", + "Bill Jacklin", + "Bill Medcalf", + "Bill Sienkiewicz", + "Bill Traylor", + "Bill Viola", + "Bill Ward", + "Bill Watterson", + "Billy Childish", + "Bjarke Ingels", + "Blek Le Rat", + "Bo Bartlett", + "Bo Chen", + "Bob Byerley", + "Bob Eggleton", + "Bob Ross", + "Bojan Jevtic", + "Bojan Koturanovic", + "Bordalo II", + "Boris Grigoriev", + "Boris Groh", + "Boris Kustodiev", + "Boris Vallejo", + "Botero", + "Brad Kunkle", + "Brad Rigney", + "Brandon Mably", + "Brandon Woelfel", + "Brenda Zlamany", + "Brent Cotton", + "Brent Heighton", + "Brett Weston", + "Brett Whiteley", + "Brian Bolland", + "Brian Despain", + "Brian Froud", + "Brian K. Vaughan", + "Brian Kesinger", + "Brian M. Viveros", + "Brian Mashburn", + "Brian Oldham", + "Brian Stelfreeze", + "Brian Sum", + "Briana Mora", + "Brice Marden", + "Bridget Bate Tichenor", + "Bridget Riley", + "Briton Rivi\u00e8re", + "Brooke DiDonato", + "Brooke Shaden", + "Brothers Grimm", + "Brothers Hildebrandt", + "Bruce Coville", + "Bruce Munro", + "Bruce Nauman", + "Bruce Pennington", + "Bruce Timm", + "Bruno Catalano", + "Bruno Munari", + "Bruno Walpoth", + "Bryan Hitch", + "Burt Glinn", + "Butcher Billy", + "C. R. W. Nevinson", + "Cagnaccio Di San Pietro", + "Cai Guo-Qiang", + "Callie Fink", + "Camille Claudel", + "Camille Corot", + "Camille Pissarro", + "Camille Vivier", + "Camille Walala", + "Camille-Pierre Pambu Bodo", + "Canaletto", + "Candido Portinari", + "Caras Ionut", + "Carel Willink", + "Carl Barks", + "Carl Eugen Keel", + "Carl Gustav Carus", + "Carl Holsoe", + "Carl Kleiner", + "Carl Larsson", + "Carl Moll", + "Carl Rungius", + "Carl Spitzweg", + "Carlo Bocchio", + "Carlo Crivelli", + "Carlo Dolci", + "Carlo Scarpa", + "Carlos Cruz-Diez", + "Carlos Schwabe", + "Carmen Saldana", + "Carne Griffiths", + "Carolina Herrera", + "Carolyn Blish", + "Carrie Ann Baade", + "Carrie Graber", + "Carrie Mae Weems", + "Carson Grubaugh", + "Carsten Holler", + "Carsten Meyerdierks", + "Casey Baugh", + "Casey Childs", + "Casey Weldon", + "Caspar David Friedrich", + "Cassius Marcellus Coolidge", + "Catherine Hyde", + "Catherine Nolin", + "Cathy Wilkes", + "Catrin Welz-Stein", + "Cecil Beaton", + "Cecilia Beaux", + "Cecily Brown", + "Cedric Peyravernay", + "Cedric Seaut", + "Cerith Wyn Evans", + "CFA Voysey", + "Chad Knight", + "Cha\u00efm Soutine", + "Chantal Joffe", + "Charles Addams", + "Charles Angrand", + "Charles Blackman", + "Charles Burns", + "Charles Camoin", + "Charles Courtney Curran", + "Charles Dana Gibson", + "Charles Demuth", + "Charles Dwyer", + "Charles E. Burchfield", + "Charles Ellison", + "Charles Filiger", + "Charles Ginner", + "Charles Gwathmey", + "Charles Le Brun", + "Charles Liu", + "Charles Maurice Detmold", + "Charles Mellin", + "Charles Philipon", + "Charles Reiffel", + "Charles Rennie Mackintosh", + "Charles Robinson", + "Charles Schridde", + "Charles Schulz", + "Charles Sheeler", + "Charles Spencelayh", + "Charles Tunnicliffe", + "Charles Vess", + "Charles Victor Thirion", + "Charles White", + "Charles Willson Peale", + "Charles Wysocki", + "Charles-Amable Lenoir", + "Charles-Francois Daubigny", + "Charley Harper", + "Charlie Bowater", + "Charline von Heyl", + "Charly Amani", + "Chase Stone", + "Chen Zhen", + "Chesley Bonestell", + "Chie Yoshii", + "Chiharu Shiota", + "Chiho Aoshima", + "Childe Hassam", + "Ching Yeh", + "Chip Zdarsky", + "Chris Bachalo", + "Chris Claremont", + "Chris Cold", + "Chris Cunningham", + "Chris Dyer", + "Chris Foss", + "Chris Friel", + "Chris LaBrooy", + "Chris Leib", + "Chris Mars", + "Chris Moore", + "Chris Ofili", + "Chris Riddell", + "Chris Samnee", + "Chris Saunders", + "Chris Turnham", + "Chris Uminga", + "Chris Van Allsburg", + "Chris Ware", + "Christian Boltanski", + "Christian Dimitrov", + "Christian Grajewski", + "Christian Griepenkerl", + "Christian Schad", + "Christian Schloe", + "Christian Wilhelm Allers", + "Christine Ellger", + "Christoffer Relander", + "Christophe Jacrot", + "Christophe Staelens", + "Christophe Vacher", + "Christopher Balaskas", + "Christopher Jin Baron", + "Christopher Ryan McKenney", + "Christopher Wool", + "Chuah Thean Teng", + "Chuanxing Zeng", + "Chuck Close", + "Chung Shek", + "Cicely Mary Barker", + "Cildo Meireles", + "Cindy Sherman", + "Claes Oldenburg", + "Claire Hummel", + "Clara Ledesma", + "Clara Miller Burd", + "Clara Peeters", + "Clarence Gagnon", + "Clarence Holbrook Carter", + "Claude Cahun", + "Claude Lef\u00e8bvre", + "Claude Lorrain", + "Claude Melan", + "Claude Monet", + "Claudia Tremblay", + "Clay Mann", + "Clayton Crain", + "Clemens Ascher", + "Cleon Peterson", + "Cliff Chiang", + "Clifford Coffin", + "Clint Cearley", + "Clive Barker", + "Clive Madgwick", + "Clovis Trouille", + "Clyde Caldwell", + "Clyfford Still", + "Coby Whitmore", + "Coles Phillips", + "Colin Campbell Cooper", + "Colin Elder", + "Colin Geller", + "Collin Elder", + "Conor Harrington", + "Conrad Felixm\u00fcller", + "Conrad Roset", + "Conrad Shawcross", + "Constant Permeke", + "Constantin Brancusi", + "Constantin Joffe", + "Cornelia Parker", + "Cornelis Springer", + "Cory Arcangel", + "Cory Loftis", + "Costa Dvorezky", + "Craig Davison", + "Craig McCracken", + "Craig Mullins", + "Craig Thompson", + "Craig Wylie", + "Craigie Aitchison", + "Craola", + "Cuno Amiet", + "Cyril Pontet", + "Cyril Rolando", + "Daan Roosegaarde", + "Daido Moriyama", + "Dain Yoon", + "Dale Chihuly", + "Damien Hirst", + "Dan Colen", + "Dan Flavin", + "Dan Hillier", + "Dan Kelby", + "Dan Matutina", + "Dan McPharlin", + "Dan Mumford", + "Dan Piraro", + "Dan Witz", + "Dana Schutz", + "Danh V\u00ed\u00b5", + "Danh V\u014d", + "Daniel Arsham", + "Daniel Buren", + "Daniel Clowes", + "Daniel F. Gerhartz", + "Daniel Garber", + "Daniel Jaems", + "Daniel Libeskind", + "Daniel Lieske", + "Daniel Merriam", + "Daniel Ridgway Knight", + "Daniela Uhlig", + "Daniele Afferni", + "Danielle Eckhardt", + "Danny Flynn", + "Danny Lyon", + "Danny Roberts", + "Dante Gabriel Rossetti", + "Dao Le Trong", + "Darek Zabrocki", + "Daria Endresen", + "Dariusz Klimczak", + "Dariusz Zawadzki", + "Darren Bacon", + "Darwyn Cooke", + "Daryl Mandryk", + "Dave Coverly", + "Dave Dorman", + "Dave Gibbons", + "Dave Heath", + "Dave McKean", + "Dave Rapoza", + "Dave Stevens", + "David A. Hardy", + "David Aja", + "David Alfaro Siqueiros", + "David Aronson", + "David B. Mattingly", + "David Bailey", + "David Bates", + "David Bomberg", + "David Bowie", + "David Brayne", + "David Brown Milne", + "David Burdeny", + "David Burliuk", + "David Chipperfield", + "David Choe", + "David Cronenberg", + "David Downton", + "David Driskell", + "David Finch", + "David Goldblatt", + "David Hammons", + "David Hettinger", + "David Hockney", + "David Inshaw", + "David LaChapelle", + "David Ligare", + "David Lynch", + "David Malkin", + "David Mann", + "David McClellan", + "David Michael Bowers", + "David Mould", + "David Nordahl", + "David Normal", + "David Palumbo", + "David Plowden", + "David Renshaw", + "David Shrigley", + "David Sims", + "David Spriggs", + "David Teniers the Younger", + "David Tindle", + "David Tutwiler", + "David Walker", + "David Welker", + "David Wiesner", + "David Yarrow", + "Davide Sasselli", + "Davide Sorrenti", + "Davis Marc", + "Davis Stuart", + "De Es Schwertberger", + "Dean Cornwell", + "Dean Ellis", + "Death Burger", + "Debbie Criswell", + "Debbie Fleming Caffery", + "Deborah Azzopardi", + "Deborah Turbeville", + "Dee Nickerson", + "Deirdre Sullivan-Beeman", + "Del Kathryn Barton", + "Delphin Enjolras", + "Demizu Posuka", + "Denis Sarazhin", + "Dennis Stock", + "Denys Lasdun", + "Derek Boshier", + "Derek Gores", + "Desmond Morris", + "Diane Arbus", + "Diane Dillon", + "Dick Bickenbach", + "Didier Barra", + "Didier Louren\u00e7o", + "Diego Dayer", + "Diego Rivera", + "Diego Vel\u00e1zquez", + "Dima Dmitriev", + "Dimitra Milan", + "Dimitry Roulland", + "Dino Valls", + "Dmitri Danish", + "Dmitry Kustanovich", + "Dmitry Spiros", + "Dmitry Vishnevsky", + "Do Ho Suh", + "Dod Procter", + "Dom Qwek", + "Don Bergland", + "Don Blanding", + "Don Bluth", + "Don Lawrence", + "Don Maitz", + "Don Northrup", + "Donald Judd", + "Donald Pass", + "Donato Giancola", + "Donna Huanca", + "Dora Carrington", + "Dora Maar", + "Dorina Costras", + "Dorothea Lange", + "Dorothea Sharp", + "Dorothea Tanning", + "Dorothy Johnstone", + "Dorothy Lathrop", + "Doug Aitken", + "Doug Chiang", + "Douglas Smith", + "Dr. Seuss", + "Drew Struzan", + "Duffy Sheridan", + "Duncan Fegredo", + "Dusan Djukaric", + "Dustin Nguyen", + "Duy Huynh", + "E. H. Shepard", + "Eadweard Muybridge", + "Earl Norem", + "Eastman Johnson", + "Ebru Sidar", + "Echo Chernik", + "Ed Benedict", + "Ed Binkley", + "Ed Brubaker", + "Ed Emshwiller", + "Ed Freeman", + "Ed Mell", + "Ed Myers", + "Ed Piskor", + "Ed Roth", + "Ed Valigursky", + "Eddie Campbell", + "Eddie Colla", + "Eddie Jones", + "Eddie Mendoza", + "Edgar Degas", + "Edgar Maxence", + "Edith Rimmington", + "Edmund Dulac", + "Edmund Leighton", + "Edmund Tarbell", + "Edmundo Senatore", + "Edna Reindel", + "Edoardo Tresoldi", + "Edogawa Ranpo", + "Edouard Manet", + "\u00c9douard Manet", + "Edouard Riou", + "\u00c9douard Riou", + "\u00c9douard Vuillard", + "Eduard Cortes", + "Eduard Gaertner", + "Eduard Veith", + "Eduard Wiiralt", + "Eduardo Kobra", + "Edvard Munch", + "Edward Atkinson Hornel", + "Edward Bawden", + "Edward Blair Wilkins", + "Edward Burne-Jones", + "Edward Cucuel", + "Edward Gorey", + "Edward Henry Potthast", + "Edward Hersey", + "Edward Hopper", + "Edward John Poynter", + "Edward Julius Detmold", + "Edward Lear", + "Edward Moran", + "Edward Oku\u0144", + "Edward Poynter", + "Edward Robert Hughes", + "Edward Seago", + "Edward Steichen", + "Edward Wadsworth", + "Edward Weston", + "Edwin Austin Abbey", + "Edwin Deakin", + "Edwin Henry Landseer", + "Edwin Lord Weeks", + "Edwin Wurm", + "Eero Saarinen", + "Egon Schiele", + "Eiichiro Oda", + "Eiko Ojala", + "Eileen Agar", + "Eileen Gray", + "Eilif Peterssen", + "Einar H\u00e1konarson", + "Einer Johansen", + "Ekaterina Panikanova", + "El Anatsui", + "El Greco", + "El Lissitzky", + "Elaine de Kooning", + "Elba Damast", + "Eleanor Fortescue-Brickdale", + "Eleanor Vere Boyle", + "Elena Paraskeva", + "Elenore Abbott", + "Elfriede Lohse-W\u00e4chtler", + "Elias Ravanetti", + "Elihu Vedder", + "Elina Karimova", + "Eliott Lilly", + "Elisa Breton", + "Elisabeth Sonrel", + "\u00c9lisabeth Vig\u00e9e Le Brun", + "\u00c9lisabeth-Louise Vig\u00e9e-Le Brun", + "Eliseu Visconti", + "Elizabeth Catlett", + "Elizabeth Gadd", + "Elizabeth Shippen Green", + "Elke Vogelsang", + "Ellen Gallagher", + "Ellen Jewett", + "Ellen von Unwerth", + "Elliot Lilly", + "Elliott Erwitt", + "Ellsworth Kelly", + "Elsa Beskow", + "Elsa Bleda", + "Elsie Driggs", + "Emek Golan", + "Emerico Imre Toth", + "Emerson Silva", + "Emery Hawkins", + "Emil Alzamora", + "Emil Carlsen", + "Emil Ferris", + "Emil Nolde", + "Emila Medkov\u00e1", + "\u00c9mile Bernard", + "Emile Claus", + "Emile Galle", + "\u00c9mile Gall\u00e9", + "Emilia Wilk", + "Emiliano Di Cavalcanti", + "Emiliano Ponzi", + "Emilio Giuseppe Dossena", + "Emily Balivet", + "Emily Carr", + "Emily Kame Kngwarreye", + "Emma Geary", + "Emma R\u00edos", + "Emmanuel de Critz", + "Emmanuel Shiu", + "Emmanuelle Moureaux", + "Emmy Bridgwater", + "Emory Douglas", + "Enki Bilal", + "Enoch Bolles", + "Enrique T\u00e1bara", + "Ephraim Moses Lilien", + "Eric Canete", + "Eric Carle", + "Eric Deschamps", + "Eric Fischl", + "Eric Ravilious", + "Eric Wallis", + "Eric Zener", + "Erica Hopper", + "Erich Heckel", + "Erik Johansson", + "Erik Jones", + "Erin Hanson", + "Erna Rosenstein", + "Ernest Crichlow", + "Ernest Lawson", + "Ernest Meissonier", + "Ernest Zacharevic", + "Ernesto Neto", + "Ernie Barnes", + "Ernst Barlach", + "Ernst Fuchs", + "Ernst Haas", + "Ernst Haeckel", + "Ernst Ludwig Kirchner", + "Ernst Wilhelm Nay", + "Erol Otus", + "Erwin Blumenfeld", + "Esaias van de Velde", + "Esao Andrews", + "Esteban Vicente", + "Esther Rolick", + "Etel Adnan", + "Ethan Van Sciver", + "\u00c9tienne Adolphe Piot", + "Etienne Hebinger", + "\u00c9tienne Maurice Falconet", + "\u00c9tienne-Louis Boull\u00e9e", + "\u00c9tienne-Maurice Falconet", + "Ettore Sottsass", + "Ettore Tito", + "Euan Uglow", + "Eugen Bracht", + "Eug\u00e8ne Atget", + "Eug\u00e8ne Boudin", + "Eugene Delacroix", + "Eugene Galien-Laloue", + "Eug\u00e8ne Girardet", + "Eug\u00e8ne Grasset", + "Eugene Leroy", + "Eugene Tertychnyi", + "Eugene von Guerard", + "Eustache Le Sueur", + "Eva \u00c5 vankmajerov\u00e1", + "Eva Hesse", + "Eva Rothschild", + "Eva \u0160vankmajerov\u00e1", + "Eve Arnold", + "Eve Ventrue", + "Evelyn De Morgan", + "Evelyn Dunbar", + "Everett Raymond Kinstler", + "Everett Shinn", + "Evgeni Gordiets", + "Evgeny Lushpin", + "Ewald Heinrich R\u00fcbsaamen", + "Ewald R\u00fcbsamen", + "Eyvind Earle", + "Ezra Stoller", + "F Scott Hess", + "Fabian Perez", + "Fabio Hurtado", + "Fairfield Porter", + "Faith 47", + "Faith Ringgold", + "Fan Ho", + "Fang Lijun", + "Farel Dalrymple", + "Fay Godwin", + "Fay Helfer", + "Felice Casorati", + "Felicia Simion", + "Felicien Rops", + "Felipe Pantone", + "Felix Gonzalez-Torres", + "Felix Kelly", + "F\u00e9lix Labisse", + "Felix Philipp Kanitz", + "Felix Vallotton", + "Fenghua Zhong", + "Ferdinand du Puigaudeau", + "Ferdinand Hodler", + "Ferdinand Keller", + "Ferdinand Knab", + "Ferdinand Van Kessel", + "Ferenc Pinter", + "Fern Isabel Coppedge", + "Fernand Cormon", + "Fernand Fonssagrives", + "Fernand Khnopff", + "Fernand Leger", + "Fernand Toussaint", + "Fernando Amorsolo", + "Fernando Botero", + "Fernando Herenu", + "Ferris Plock", + "Filip Hodas", + "Filippino Lippi", + "Filippo Balbi", + "Filippo Brunelleschi", + "Fintan Magee", + "Firmin Baes", + "Fletcher Sibthorp", + "Flora Borsi", + "Florence Harrison", + "Florian Nicolle", + "Florianne Becker", + "Floris Arntzenius", + "Floris Jespers", + "Ford Madox Brown", + "Fra Angelico", + "Frances MacDonald", + "Francesca Woodman", + "Francesco Albani", + "Francesco Borromini", + "Francesco Clemente", + "Francesco Guardi", + "Francesco Hayez", + "Francesco Solimena", + "Francine Van Hove", + "Francis Bacon", + "Francis Coates Jones", + "Francis Davis Millet", + "Francis Newton Souza", + "Francis Picabia", + "Francisco De Goya", + "Francisco de Zurbaran", + "Francisco Goya", + "Francisco Mart\u00edn", + "Franciszek Starowieyski", + "Franck Tacito", + "Franco Fontana", + "Fran\u00e7ois Boquet", + "Fran\u00e7ois Boucher", + "Fran\u00e7ois De Nom\u00e9", + "Fran\u00e7ois Marcela-Froideval", + "Francois Schuiten", + "Fran\u00e7oise Basset", + "Frank Auerbach", + "Frank Bramley", + "Frank Cadogan Cowper", + "Frank Cho", + "Frank Frazetta", + "Frank Gehry", + "Frank Holl", + "Frank Lloyd Wright", + "Frank McCarthy", + "Frank Miller", + "Frank Quitely", + "Frank Stella", + "Frank Thorne", + "Frank Tinsley", + "Frank Weston Benson", + "Frank Xavier Leyendecker", + "Franklin Booth", + "Franklin Carmichael", + "Frans Floris", + "Frans Francken the Younger", + "Frans Hals", + "Frans Snyders", + "Franti\u0161ek Dvo\u0159\u00e1k", + "Frantisek Kupka", + "Franz Kline", + "Franz Lefler", + "Franz Marc", + "Franz Sedlacek", + "Franz Stuck", + "Franz Vohwinkel", + "Franz West", + "Franz Xaver Winterhalter", + "Fred Calleri", + "Fred Stein", + "Fred Tomaselli", + "Frederic Bazille", + "Frederic Church", + "Fr\u00e9d\u00e9ric Fiebig", + "Frederic Remington", + "Frederick Arthur Bridgman", + "Frederick Arthur Verner", + "Frederick Carl Frieseke", + "Frederick Cayley Robinson", + "Frederick Goodall", + "Frederick Judd Waugh", + "Frederick Lord Leighton", + "Frederick McCubbin", + "Frederick Sandys", + "Frida Kahlo", + "Friedensreich Hundertwasser", + "Frieke Janssens", + "Frits Thaulow", + "Frits Van den Berghe", + "Fritz Bleyl", + "Fritz Henle", + "Fritz Scholder", + "Fujii Yoshitoyo", + "Fujishima Takeji", + "Fuyuko Matsui", + "Gabriel Dawe", + "Gabriele M\u00fcnter", + "Gaetano Pesce", + "Galan Pang", + "Gareth Pugh", + "Gary Larson", + "Gaston Bussi\u00e8re", + "Gediminas Pranckevicius", + "Genndy Tartakovsky", + "Geof Darrow", + "Georg Jensen", + "Georg Karl Pfahler", + "George Ault", + "George Cruikshank", + "George Dionysus Ehret", + "George Frederic Watts", + "George French Angas", + "George Grosz", + "George Herriman", + "George Inness", + "George Lucas", + "George Luks", + "George Stubbs", + "George Tooker", + "Georges de La Tour", + "Georges Rouault", + "Georges Seurat", + "Georgia O'Keeffe", + "Gerald Brom", + "Gerda Wegener", + "Gerhard Munthe", + "Gerhard Richter", + "Gertrude Abercrombie", + "Giacomo Balla", + "Gianluca Foli", + "Gifford Beal", + "Gil Elvgren", + "Gilbert Stuart", + "Gilberto \"Soren\" Zaragoza", + "Giorgio De Chirico", + "Giotto Di Bondone", + "Giovanni Battista Bracelli", + "Giovanni Battista Gaulli", + "Giovanni Battista Piranesi", + "Giovanni Battista Venanzi", + "Giovanni da Udina", + "Giuseppe Arcimboldo", + "Giuseppe de Nittis", + "Gjon Mili", + "Glen Orbik", + "Glenn Fabry", + "Gloria Stoll Karn", + "Go Nagai", + "Gordon Browne", + "Gordon Parks", + "Goro Fujita", + "Grace Cossington Smith", + "Grace Popp", + "Grandma Moses", + "Grant Wood", + "Grayson Perry", + "Greg Girard", + "Greg Hildebrandt", + "Greg Rutkowski", + "Greg Simkins", + "Gregory Crewdson", + "Guerrilla Girls", + "Guido Borelli Da Caluso", + "Guido Crepax", + "Guillermo del Toro", + "Guo Pei", + "Gustaf Tenggren", + "Gustav Klimt", + "Gustave Buchet", + "Gustave Courbet", + "Gustave Dor\u00e9", + "Gustave Moreau", + "Gustave Van de Woestijne", + "Guy Billout", + "Gwen John", + "Gwenda Morgan", + "H. R. (Hans Ruedi) Giger", + "H. R. Giger", + "H.P. Lovecraft", + "Haddon Sundblom", + "Hajime Sorayama", + "Hal Foster", + "Hale Woodruff", + "Hanna-Barbera", + "Hannah Hoch", + "Hans Arnold", + "Hans Baldung", + "Hans Baluschek", + "Hans Bellmer", + "Harold McCauley", + "Haroon Mirza", + "Harriet Backer", + "Harry Clarke", + "Hasui Kawase", + "Hayao Miyazaki", + "Hayv Kahraman", + "Hein Gorny", + "Heinrich Kley", + "Heinrich Lefler", + "Heinz Edelmann", + "Helen Frankenthaler", + "Helene Knoop", + "Helene Schjerfbeck", + "Helio Oiticica", + "Helmut Newton", + "Hendrick Avercamp", + "Hendrick Cornelisz Vroom", + "Hendrick Goltzius", + "Hendrik Kerstens", + "Henri De Toulouse Lautrec", + "Henri Fantin Latour", + "Henri Matisse", + "Henri Rousseau", + "Henri-Edmond Cross", + "Henriette Grindat", + "Henry Asencio", + "Henry Fuseli", + "Henry Moore", + "Henry Moret", + "Henry Ossawa Tanner", + "Henry Raleigh", + "Herbert List", + "Herve Groussin", + "Herv\u00e9 Guibert", + "Hethe Srodawa", + "Hieronymus Bosch", + "Hikari Shimoda", + "Hilma AF Klint", + "Hirohiko Araki", + "Hiroshi Nagai", + "Hiroshi Sugimoto", + "Hiroshi Yoshida", + "Honor C. Appleton", + "Honor\u00e9 Daumier", + "Hope Gangloff", + "Horace Vernet", + "Hou China", + "Howard Chandler Christy", + "Howard Finster", + "Howard Hodgkin", + "Howard Pyle", + "Hsiao-Ron Cheng", + "Hubert Robert", + "Hugh Ferriss", + "Hugh Kretschmer", + "Hundertwasser", + "Hyacinthe Rigaud", + "Iain Faulkner", + "Ian McQue", + "Ian Miller", + "Ida Rentoul Outhwaite", + "Igor Morski", + "Igor Wolski", + "Igor Zenin", + "Ilya Kuvshinov", + "Ilya Repin", + "Incarcerated Jerkfaces", + "Ingrid Baars", + "Inio Asano", + "Irma Stern", + "Iryna Yermolova", + "Isaac Cordal", + "Isaac Levitan", + "Ismail Inceoglu", + "Issac Levitan", + "Istvan Banyai", + "It\u014d Jakuch\u016b", + "Ivan Aivazovski", + "Ivan Aivaz\u00f3vski", + "Ivan Albright", + "Ivan Bilibin", + "Ivan Shishkin", + "Iwan Baan", + "J. J. Grandville", + "J.C. Leyendecker", + "J.M.W. Turner", + "Jacek Yerka", + "Jack Butler Yeats", + "Jack Davis", + "Jack Gaughan", + "Jack Kirby", + "Jackson Pollock", + "Jacob Hashimoto", + "Jacob Lawrence", + "Jacob van Ruisdael", + "Jacques Le Moyne", + "Jacques Nathan-Garamond ", + "Jake Parker", + "Jakub Rozalski", + "James Abbott McNeill Whistler", + "James C Christensen", + "James Ensor", + "James Gilleard", + "James Gillray", + "James Gurney", + "James Jean", + "James Montgomery Flagg", + "James Paick", + "James Stokoe", + "James Thomas Watts", + "James Tissot", + "James Turrell", + "Jamie Baldridge", + "Jamie Hawkesworth", + "Jamie Hewlett", + "Jamie McKelvie", + "Jamini Roy", + "Jan Brett", + "Jan Luyken", + "Jan Pietersz Saenredam", + "Jan Van Eyck", + "Jan van Kessel the Elder", + "Jane Graverol", + "Jane Newland", + "Janek Sedlar", + "Jasmine Becket-Griffith", + "Jason A. Engle", + "Jason Chan", + "Jason Edmiston", + "Jasper Johns", + "Jaume Plensa", + "Jaya Suberg", + "JC Leyendecker", + "Jean Arp", + "Jean Auguste Dominique Ingres", + "Jean Bourdichon", + "Jean Delville", + "Jean Dubuffet", + "Jean Fouquet", + "Jean Giraud", + "Jean Jullien", + "Jean Marc Nattier", + "Jean Metzinger", + "Jean Nouvel", + "Jean-Antoine Watteau", + "Jean-Baptiste Monge", + "Jean-Fran\u00e7ois Millet", + "Jean-Honor\u00e9 Fragonard", + "Jean-L\u00e9on G\u00e9r\u00f4me", + "Jean-Louis Prevost", + "Jean-Michel Basquiat", + "Jean-Paul Riopelle", + "Jeanloup Sieff", + "Jeannette Guichard-Bunel", + "Jed Henry", + "Jef Wu", + "Jeff Easley", + "Jeff Goldblum", + "Jeff Kinney", + "Jeff Koons", + "Jeff Legg", + "Jeff Lemire", + "Jeff Simpson", + "Jeff Wall", + "Jeffrey Catherine Jones", + "Jeffrey Cruz (theCHAMBA)", + "Jeffrey Smith art", + "Jeffrey T. Larson", + "Jenny Saville", + "JennyBird Alcantara", + "Jeremiah Ketner", + "Jeremy Geddes", + "Jeremy Lipking", + "Jeremy Mann", + "Jerry Pinkney", + "Jerry Siegel", + "Jerzy Duda-Gracz", + "Jesper Ejsing", + "Jessica Rossier", + "Jessica Woulfe", + "Jessie Willcox Smith", + "Jhonen Vasquez", + "Jillian Tamaki", + "Jim Burns", + "Jim Davis", + "Jim Lee", + "Jim Mahfood", + "Jim Woodring", + "Jimmy Ernst", + "Jimmy Lawlor", + "Joachim Brohm", + "Joan Mir\u00f3", + "Joan Tuset", + "Joanna Kustra", + "Joao Ruas", + "Joaqu\u00edn Sorolla", + "Joe Bowler", + "Joe De Mers", + "Joe Fenton", + "Joe Jusko", + "Joe Madureira", + "Joe Webb", + "Joel Meyerowitz", + "Joel Sternfeld", + "Joey Chou", + "Johann Wolfgang von Goethe", + "Johannes Itten", + "Johannes Vermeer", + "Johannes Voss", + "Johfra Bosschart", + "John Anster Fitzgerald", + "John Atherton", + "John Atkinson Grimshaw", + "John Bauer", + "John Berkey", + "John Blanche", + "John Bratby", + "John Cassaday", + "John Constable", + "John Currin", + "John Duncan", + "John Frederick Kensett", + "John French Sloan", + "John Harris", + "John Howe", + "John Hoyland", + "John James Audubon", + "John Kenn Mortensen", + "John La Farge", + "John Lavery", + "John Martin", + "John Perceval", + "John Philip Falter", + "John Salminen", + "John Singer Sargent", + "John Singleton Copley", + "John Stezaker", + "John Totleben", + "John Wayne Gacy", + "John Whitcomb", + "John Wilhelm", + "John William Waterhouse", + "Jon Klassen", + "Jon McCoy", + "Jon Whitcomb", + "Jordan Grimmer", + "Jorge Jacinto", + "Josan Gonzalez", + "Jos\u00e9 Clemente Orozco", + "Josef Albers", + "Joseph Cornell", + "Joseph Ducreux", + "Joseph Lorusso", + "Joseph Mallord William Turner", + "Joseph Stella", + "Josephine Wall", + "Josh Kao", + "Josh Keyes", + "Jovana Rikalo", + "J\u00f3zef Mehoffer", + "Juan Gris", + "Judy Chicago", + "Juergen Teller", + "Jules Bastien-Lepage", + "Julia Contacessi", + "Julian Calle", + "Juliana Huxtable", + "Julie Bell", + "Julie Blackmon", + "Julie Mehretu", + "Julien Delval", + "Julius Horsthuis", + "Jun Kaneko", + "Junji Ito", + "Justin Gerard", + "Kadir Nelson", + "Kaethe Butcher", + "Kapwani Kiwanga", + "Karel Appel", + "Karel Thole", + "Karen Wallis", + "Karl Blossfeldt", + "Karl Schmidt-Rottluff", + "Karol Bak", + "Kasia Nowowiejska", + "Kate Beaton", + "Kate Greenaway", + "K\u00e4the Kollwitz", + "Kathryn Morris Trotter", + "Kati Horna", + "Katsuhiro Otomo", + "Katsushika Hokusai", + "Kawanabe Ky\u014dsai", + "Kaws", + "Kay Nielsen", + "Kay Sage", + "Kazimir Malevich", + "Kazuo Koike", + "Kehinde Wiley", + "Keith Haring", + "Keith Negley", + "Keith Parkinson", + "Kelly Freas", + "Kelly Mckernan", + "Kelly Sue Deconnick", + "Kelly Vivanco", + "Ken Fairclough", + "Ken Kelly", + "Ken Sugimori", + "Kengo Kuma", + "Kenne Gregoire", + "Kent Monkman", + "Kentaro Miura", + "Kevin Gnutzmans", + "Kevin Sloan", + "Kieron Gillen", + "Kilian Eng", + "Kim Jung Gi", + "Kim Keever", + "Kitagawa Utamaro", + "Kitty Lange Kielland", + "Klaus Burgle", + "Klaus Janson", + "Klaus Wittmann", + "Kobayashi Kiyochika", + "Konstantin Korovin", + "Konstantin Yuon", + "Koson Ohara", + "Krenz Cushart", + "Kris Kuksi", + "Kuang Hong", + "Kunisada", + "Kuno Veeber", + "Kurzgesagt", + "L. Birge Harrison", + "Lady Pink", + "Larry Elmore", + "Larry Poons", + "Larry Sultan", + "L\u00e1szl\u00f3 Moholy-Nagy", + "Laurel Burch", + "Laurent Grasso", + "Laurie Greasley", + "Laurie Lipton", + "Lawren Harris", + "Lee Krasner", + "Lee Madgwick", + "Lee Quinones", + "Leiji Matsumoto", + "Leon Kossoff", + "Leonardo Da Vinci", + "Leonetto Cappiello", + "Leonid Afremov", + "Leonora Carrington", + "Les Edwards", + "Lesley Vance", + "Leticia Gillett", + "Liam Wong", + "Liang Mark", + "Lisa Frank", + "Lisa Keene", + "Liu Ye", + "Liubov Sergeevna Popova", + "Lois van Baarle", + "Loish", + "Lorena Alvarez G\u00f3mez", + "Lorenz Hideyoshi", + "Loretta Lux", + "Lori Earley", + "Louis Comfort Tiffany", + "Louis Glackens", + "Louis Icart", + "Louis Janmot", + "Louis Rhead", + "Louis Wain", + "Louise Bourgeois", + "Louise Dahl-Wolfe", + "Lovis Corinth", + "Luca Boni", + "Lucas Cranach the Elder", + "Lucian Freud", + "Lucy Madox Brown", + "Ludwig Mies van der Rohe", + "Luis Royo", + "Luisa Russo", + "Lynd Ward", + "Lynda Barry", + "Lynda Benglis", + "Lyonel Feininger", + "Lyubov Popova", + "M.C. Escher", + "M.W. Kaluta", + "Mab Graves", + "Maginel Wright Enright Barney", + "Magnus Enckell", + "Makoto Shinkai", + "Malcolm Liepke", + "Man Ray", + "Mandy Disher", + "Mao Hamaguchi", + "Marat Latypov", + "Marc Chagall", + "Marc Davis", + "Marc Samson", + "Marc Simonetti", + "Marcin Jakubowski", + "Marco Mazzoni", + "Marcus Selmer", + "Marek Okon", + "Margaret Brundage", + "Margaret Macdonald Mackintosh", + "Margaret Mee", + "Margaux Valonia", + "Maria Kreyn", + "Maria Pascual Alberich", + "Maria Sibylla Merian", + "Marianne North", + "Marianne von Werefkin", + "Marie Guillemine Benoist", + "Marie Spartali Stillman", + "Marina Abramovi\u0107", + "Marius Borgeaud", + "Marjane Satrapi", + "Mark Arian", + "Mark Briscoe", + "Mark Brooks", + "Mark Keathley", + "Mark Lovett", + "Mark Rothko", + "Mark Ryden", + "Mark Seliger", + "Marsden Hartley", + "Martin Ansin", + "Martin Deschambault", + "Martin John Heade", + "Martin Johnson Heade", + "Martin Kippenberger", + "Martine Johanna", + "Martiros Saryan", + "Mary Anning", + "Mary Blair", + "Mary Cassatt", + "Masaaki Masamoto", + "Masaaki Sasamoto", + "Masamune Shirow", + "Mat Collishaw", + "Mati Klarwein", + "Matias Hannecke", + "Matt Bors", + "Matt Fraction", + "Matt Groening", + "Matthias Gr\u00fcnewald", + "Matthias Jung", + "Matti Suuronen", + "Maurice Sendak", + "Max Beckmann", + "Max Dupain", + "Max Ernst", + "Max Pechstein", + "Max Weber", + "Maxfield Parrish", + "Maximilian Pirner", + "Maximilien Luce", + "Maxwell Boas", + "Mead Schaeffer", + "M\u00e9ret Oppenheim", + "Meryl McMaster", + "Michael Carson", + "Michael Cheval", + "Michael Deforge", + "Michael Heizer", + "Michael Hutter", + "Michael Parkes", + "Michael Sowa", + "Michael Whelan", + "Michal Karcz", + "Michal Lisowski", + "Michelangelo Buonarroti", + "Michelangelo Merisi Da Caravaggio", + "Mickalene Thomas", + "Miho Hirano", + "Mikalojus Konstantinas Ciurlionis", + "Mike Campau", + "Mike Deodato", + "Mike Mayhew", + "Mike Mignola", + "Mike Winkelmann (Beeple)", + "Mike Worrall", + "Mikhail Larionov", + "Mikhail Nesterov", + "Mikhail Vrubel", + "Mikko Lagerstedt", + "Milo Manara", + "Milton Avery", + "Milton Caniff", + "Milton Glaser", + "Miriam Schapiro", + "Moebius", + "Mordecai Ardon", + "Mort Kunstler", + "Muxxi", + "Nagel Patrick", + "Nan Goldin", + "Naoki Urasawa", + "Naoko Takeuchi", + "Naomi Okubo", + "Naoto Hattori", + "Natalia Goncharova", + "Nathan Coley", + "Nathan Wirth", + "NC Wyeth", + "Neil Boyle", + "Neil Welliver", + "Nele Zirnite", + "NHK Animation", + "Ni Chuanjing", + "Nicholas Roerich", + "Nick Knight", + "Nick Sharratt", + "Nick Silva", + "Nicola Samori", + "Nicolas de Stael", + "Nicolas Delort", + "Nicolas Mignard", + "Nikolai Ge", + "Nikolina Petolas", + "Noah Bradley", + "Nobuyoshi Araki", + "Noelle Stevenson", + "Noriyoshi Ohrai", + "Norman Ackroyd", + "Norman Bluhm", + "Norman Foster", + "Norman Rockwell", + "Octavio Ocampo", + "Odd Nerdrum", + "Odilon Redon", + "Ogawa Kazumasa", + "Ohara Koson", + "Olafur Eliasson", + "Oleg Oprisco", + "Olga Skomorokhova", + "Olivier Bonhomme", + "Olivier Valsecchi", + "Ollie Hoff", + "Os Gemeos", + "Os G\u00eameos", + "Osamu Tezuka", + "Oscar Dom\u00ednguez", + "\u00d3scar Dom\u00ednguez", + "OSGEMEOS", + "Oskar Fischinger", + "Oskar Kokoschka", + "Ossip Zadkine", + "Otto Dix", + "Otto Marseus van Schrieck", + "Pablo Picasso", + "Pamela Colman Smith", + "Paolo Roversi", + "Paolo Veronese", + "Pascal Blanche", + "Pascale Campion", + "Patrice Murciano", + "Patricia Polacco", + "Patrick Brown", + "Patrick Caulfield", + "Patrick Dougherty", + "Patrick Heron", + "Patrick Woodroffe", + "Paul Barson", + "Paul C\u00e9zanne", + "Paul Chadeisson", + "Paul Corfield", + "Paul Delvaux", + "Paul Gauguin", + "Paul Gustav Fischer", + "Paul Henry", + "Paul Klee", + "Paul Laffoley", + "Paul Lehr", + "Paul Ranson", + "Paul Strand", + "Paul Wonner", + "Paula Modersohn-Becker", + "Paulus Potter", + "Pawel Kuczynski", + "Peter Andrew Jones", + "Peter Bagge", + "Peter De Seve", + "Peter Doig", + "Peter Elson", + "Peter Gric", + "Peter Holme III", + "Peter Howson", + "Peter Kemp", + "Peter Max", + "Peter Milligan", + "Peter Mohrbacher", + "Peter Paul Rubens", + "Peter Sculthorpe", + "Peter Wileman", + "Peter Zumthor", + "Phil Foglio", + "Phil Jimenez", + "Phil Koch", + "Phil Noto", + "Philip Guston", + "Philippe Druillet", + "Philippe Parreno", + "Pierre Bonnard", + "Pierre Puvis de Chavannes", + "Pierre-Auguste Renoir", + "Piet Hein Eek", + "Piet Mondrian", + "Pieter Aertsen", + "Pieter Bruegel The Elder", + "Pieter Claesz", + "Pieter de Hooch", + "Pieter Jansz Saenredam", + "Piotr Jab\u0142o\u0144ski", + "Pipilotti Rist", + "Pixar Concept Artists", + "Pixar", + "Posuka Demizu", + "Qian Xuan", + "Qing Han", + "Quentin Blake", + "Quentin Tarantino", + "Quint Buchholz", + "Rafael Albuquerque", + "Rafa\u0142 Olbi\u0144ski", + "Raffaello Sanizo", + "Raina Telgemeier", + "Raja Ravi Varma", + "Ralph Horsley", + "Ralph McQuarrie", + "Ralph Steadman", + "Ramon Casas", + "Randolph Caldecott", + "Raphael Lacoste", + "Raphael", + "Raphaelle Peale", + "Ravi Zupa", + "Ray Caesar", + "Ray Donley", + "Raymond Briggs", + "Raymond Duchamp-Villon", + "Raymond Leech", + "Raymond Swanland", + "Rayner Alencar", + "Rebeca Saray", + "Rebecca Guay", + "Rebecca Louise Law", + "Rebecca Sugar", + "Reginald Marsh", + "Rembrandt Van Rijn", + "Remedios Varo", + "Ren\u00e9 Lalique", + "Rene Laloux", + "Rene Magritte", + "RETNA (Marquis Lewis)", + "Reylia Slaby", + "RHADS", + "Rich Davies", + "Richard Burlet", + "Richard Corben", + "Richard Dadd", + "Richard Deacon", + "Richard Diebenkorn", + "Richard Doyle", + "Richard Eurich", + "Richard Hamilton", + "Richard Lindner", + "Richard McGuire", + "Richard Misrach", + "Richard S. Johnson", + "Richard Scarry", + "Rick Guidice", + "ROA", + "Rob Gonsalves", + "Rob Liefeld", + "Robby Cavanaugh", + "Robert Antoine Pinchon", + "Robert Chew", + "Robert Childress", + "Robert Crumb", + "Robert Farkas", + "Robert Hagan", + "Robert Irwin", + "Robert M Cunningham", + "Robert Maguire", + "Robert McCall", + "Robert Mcginnis", + "Robert Motherwell", + "Robert Neubecker", + "Robert Rauschenberg", + "Robert S. Duncanson", + "Robert Stivers", + "Robert Vonnoh", + "Robert William Hume", + "Robert Williams", + "Roberto Ferri", + "Roberto Matta", + "Roberto Parada", + "Rockwell Kent", + "Rodney Matthews", + "Rodr\u00edguez ARS", + "Roger Ballen", + "Roger de La Fresnaye", + "Roger Dean", + "Rolf Armstrong", + "Romero Britto", + "Ron Mueck", + "Ron Walotsky", + "Ronald Balfour", + "Ross Tran", + "Roy Gjertson", + "Roy Lichtenstein", + "Roz Chast", + "Ruan Jia", + "Rudolf Freund", + "Rufino Tamayo", + "Rumiko Takahashi", + "Russ Mills", + "Russell Ayto", + "Ruth Bernhard", + "Ruxing Gao", + "Ryan Hewett", + "Ryan McGinley", + "Ryan Stegman", + "Ryohei Hase", + "Sacha Goldberger", + "Sailor Moon", + "Sakai Ho\u00cc\u201eitsu", + "Sally Mann", + "Salomon van Ruysdael", + "Salvador Dali", + "Sam Bosma", + "Sam Kieth", + "Sam Spratt", + "Samuel and Joseph Newsom", + "Samuel Earp", + "Samuel Melton Fisher", + "Sandra Chevrier", + "Sandro Botticelli", + "Sandy Skoglund", + "Saner Edgar", + "Sanford Kossin", + "Sangyeob Park", + "Santiago Calatrava", + "Santiago Caruso", + "Sara Wollfalk", + "Sarah Lucas", + "Satoshi Kon", + "Saturno Butto", + "Saul Bass", + "Saul Steinberg", + "Saul Tepper", + "Scarlett Hooft Graafland", + "Scott Brundage", + "Scott Listfield", + "Scott Naismith", + "Sean Scully", + "Sean Yoro", + "Seb Mckinnon", + "Sebastian Errazuriz", + "Serge Marshennikov", + "Shaddy Safadi", + "Shaun Tan", + "Shawn Coss", + "Sheilah Beckett", + "Shepard Fairey", + "Sherree Valentine Daines", + "Shin Jeongho", + "Shinji Aramaki", + "Shintaro Kago", + "Shohei Otomo", + "Shotaro Ishinomori", + "Shusei Nagaoko", + "Sidney Nolan", + "Silvestro Lega", + "Simeon Solomon", + "Simon Birch", + "Simon Bisley", + "Simon Stalenhag", + "Simone Martini", + "Sir James Guthrie", + "Siya Oum", + "Skottie Young", + "Slim Aarons", + "Sofonisba Anguissola", + "Sonia Delaunay", + "Sou Fujimoto", + "Sparth", + "Squeak Carnwath", + "Stan And Jan Berenstain", + "Stan Lee", + "Stanislav Poltavsky", + "Stanis\u0142aw Szukalski", + "Stanley Donwood", + "Stephan Martiniere", + "Stephen Gammell", + "Stephen Oakley", + "Stephen Shore", + "Stevan Dohanos", + "Steve Argyle", + "Steve Dillon", + "Steve Ditko", + "Steve Henderson", + "Steve Lieber", + "Steve McCurry", + "Steven Belledin", + "Storm Thorgerson", + "Stuart Davis", + "Stuart Haygarth", + "Stuart Immonen", + "Studio Ghibli", + "Sue Bryce", + "Susan Luo", + "Susan Seddon Boulet", + "Sven Nordqvist", + "Syd Mead", + "Sydney Edmunds", + "Sydney Prior Hall", + "Tadao Ando", + "Taiy\u014d Matsumoto", + "Takashi Murakami", + "Takato Yamamoto", + "Takeshi Obata", + "Tamara Lempicka", + "Tan Zhi Hui", + "Tara McPherson", + "Tari M\u00e1rk D\u00e1vid", + "Tatsuro Kiuchi", + "teamLab", + "Ted Nasmith", + "Ted Wallace", + "Teophilus Tetteh", + "Terada Katsuya", + "Teresa Ramos", + "Terry Oakes", + "Terry Redlin", + "Tex Avery", + "theCHAMBA", + "Theo van Rysselberghe", + "Th\u00e9odore G\u00e9ricault", + "Thomas Allom", + "Thomas Benjamin Kennington", + "Thomas Blackshear", + "Thomas Cole", + "Thomas Dodd", + "Thomas Eakins", + "Thomas Gainsborough", + "Thomas Kinkade", + "Thomas Moran", + "Thomas Rowlandson", + "Thomas Saliot", + "Thomas Struth", + "Thomas Visscher", + "Thomas W Schaller", + "Thornton Oakley", + "Tibor Nagy", + "Till Freitag", + "Tim Burton", + "Tim Doyle", + "Tim Hildebrandt", + "Tim White", + "Tintoretto", + "Titian", + "Todd McFarlane", + "Todd Schorr", + "Toei Animations", + "Tokujin Yoshioka", + "tokyogenso", + "Tom Bagshaw", + "Tom Hammick", + "Tom Lovell", + "Tom Roberts", + "Tom Thomson", + "Tom Whalen", + "Tomasz Alen Kopera", + "Tomer Hanuka", + "Tomi Ungerer", + "Tomma Abts", + "Tomokazu Matsuyama", + "Tony DiTerlizzi", + "Tony Moore", + "Toshiharu Mizutani", + "Toumas Korpi", + "Tove Jansson", + "Tracey Emin", + "Travis Louie", + "Tristan Eaton", + "Tsutomu Nihei", + "Tyler Edlin", + "Tyler Shields", + "Tyler West", + "Ub Iwerks", + "Uemura Shoen", + "Ul Di Rico", + "Umberto Boccioni", + "Utagawa Hiroshige", + "Valerie Hegarty", + "Vhils", + "Victo Ngai", + "Victor Adame Minguez", + "Victor Brauner", + "Victor Medina", + "Victor Moscoso", + "Victor Nizovtsev", + "Victor Vasarely", + "Victoria Crowe", + "Viktor Vasnetsov", + "Viktoria Gavrilenko", + "Vincent Di Fate", + "Vincent Tanguay", + "Vincent Van Gogh", + "Virgil Finlay", + "Vito Acconci", + "Vittorio Matteo Corcos", + "Vivian Maier", + "Viviane Sassen", + "Vivienne Westwood", + "Vladimir Kush", + "W. Heath Robinson", + "W.W. Denslow", + "Wadim Kashin", + "Walt Disney", + "Walt Kelly", + "Walter Crane", + "Walter Kim", + "Walter Langley", + "Walter Percy Day", + "Wangechi Mutu", + "Warren Ellis", + "Warwick Globe", + "Wassily Kandinsky", + "Wayne Barlowe", + "Wendy Froud", + "Wes Anderson", + "Wilfredo Lam", + "Will Barnet", + "Will Eisner", + "Willem de Kooning", + "Willem van Haecht", + "William Blake", + "William Eggleston", + "William Etty", + "William Gropper", + "William Henry Hunt", + "William Hogarth", + "William Holman Hunt", + "William Kentridge", + "William Morris", + "William S. Burroughs", + "William Steig", + "William Stout", + "William Wegman", + "William Zorach", + "William-Adolphe Bouguereau", + "Wim Crouwel", + "Wim Wenders", + "Winslow Homer", + "Winsor McCay", + "Wojciech Ostrycharz", + "Wolf Kahn", + "Wolfgang Tillmans", + "Worthington Whittredge", + "Yaacov Agam", + "Yang Jialun", + "Yanjun Cheng", + "Yasuo Kuniyoshi", + "Yasushi Nirasawa", + "Yasutomo Oka", + "Yayi Morales", + "Yayoi Kusama", + "Yiannis Moralis", + "Yinka Shonibare", + "Yohann Schepacz", + "Yoji Shinkawa", + "Yoshitaka Amano", + "Yoshiyuki Tomino", + "Yue Minjun", + "Yuri Ivanovich Pimenov", + "Yuumei", + "Yves Klein", + "Yves Tanguy", + "Zack Snyder", + "Zaha Hadid", + "Zanele Muholi", + "Zdzis\u0142aw Beksi\u0144ski", + "Zeen Chin", + "Zhang Kechun", + "Zhelong Xu", + "Zhichao Cai", + "Zinaida Serebriakova" + ], + "identity": [ + "old woman", + "old man", + "older woman", + "older man", + "middle-aged woman", + "middle-aged man", + "woman", + "man", + "young woman", + "young man", + "teenage girl", + "teenage boy", + "girl", + "boy", + "young girl", + "young boy", + "baby" + ], + "identity-adult": [ + "old woman", + "old man", + "older woman", + "older man", + "middle-aged woman", + "middle-aged man", + "woman", + "man", + "young woman", + "young man" + ], + "identity-young": [ + "teenage girl", + "teenage boy", + "girl", + "boy", + "young girl", + "young boy", + "baby" + ], + "punk": [ + "atompunk", + "biopunk", + "clockpunk", + "cyberpunk", + "dieselpunk", + "fantasy punk", + "frostpunk", + "gothpunk", + "magicpunk", + "mythpunk", + "nanopunk", + "post-apocalypticpunk", + "slipstream", + "solarpunk", + "space punk", + "splatterpunk", + "steampunk", + "steelpunk", + "stonepunk", + "weirdpunk" + ], + "hair": [ + "bold", + "short black hair", + "short blond hair", + "short auburn hair", + "short brown hair", + "short gray hair", + "long black hair", + "long blond hair", + "long auburn hair", + "long brown hair", + "long gray hair", + "long wavy black hair", + "long wavy blond hair", + "long wavy auburn hair", + "long wavy brown hair", + "long wavy gray hair", + "black undercut", + "blond undercut", + "auburn undercut", + "brown undercut", + "gray undercut", + "long curly black hair", + "long curly blond hair", + "long curly auburn hair", + "long curly brown hair", + "long curly gray hair", + "black buzzcut", + "blond buzzcut", + "auburn buzzcut", + "brown buzzcut", + "gray buzzcut", + "black dreadlocks", + "blond dreadlocks", + "auburn dreadlocks", + "brown dreadlocks", + "gray dreadlocks", + "black braids", + "blond braids", + "auburn braids", + "brown braids", + "gray braids" + ], + "bodyshape": [ + "fat", + "fit", + "elegant", + "slender", + "burly", + "bulky", + "thin", + "chubby", + "lanky", + "skinny", + "buff", + "ripped", + "rough" + ], + "skin-color": [ + "pale", + "light", + "fair", + "dark", + "brown", + "black", + "tan", + "golden", + "olive", + "white", + "alabaster", + "ivory", + "cream", + "beige", + "taupe", + "espresso", + "chocolate", + "mahogany", + "caramel", + "bronze", + "copper", + "peach", + "pink", + "salmon", + "ruby", + "wine" + ], + "eyecolor": [ + "hazel", + "green", + "brown", + "black", + "grey", + "purple", + "pink", + "red", + "silver", + "yellow", + "Sapphire", + "turquoise", + "amethyst", + "aquamarine", + "ruby", + "coral", + "peach", + "gold", + "dark brown", + "jade", + "teal", + "ice blue", + "light blue", + "blue", + "grey-blue", + "amber" + ], + "fantasy-setting": [ + "Xanadu: A magical kingdom ruled by a wise and benevolent queen", + "neverland: A lost island where children can stay forever young", + "Shambhala: A hidden paradise where enlightened beings live in perfect harmony", + "Atlantis: A lost city of great wisdom and power, now drowned beneath the sea", + "Fairyland: A place where fairies and other magical creatures live", + "Oz: A land of enchantment, where anything is possible", + "Mordor: A dark and evil land ruled by the dark lord Sauron", + "Narnia: A land of talking animals and magical creatures, ruled by Aslan the lion", + "Middle Earth: A vast and ancient world, home to Elves, Dwarves, Hobbits, and Wizards", + "Wonderland: A wild and fantastical place, ruled by the Queen of Hearts", + "A magical kingdom where everything is perfect and everyone is happy", + "A dark, foreboding castle where a wicked queen reigns", + "A fairytale land where magical creatures live and thrive", + "A tropical paradise where the sun shines brightly every day", + "An enchanted forest where magical creatures and plants abound", + "The Vale of Shadows: A dark and foreboding valley where no sunlight ever penetrates", + "The Forest of Mirrors: A place where reality is distorted and nothing is as it seems", + "The Crystal Cave: A fantastical place where gemstones and crystals grow in abundance", + "The Dragon's Lair: A deadly place where fearsome dragons dwell", + "The Tower of Oblivion: A stronghold where forgotten secrets and dark magic are hidden", + "The Island of Dreams: A place where all your deepest desires come true", + "The City of Glas", + "The Enchanted Forest", + "The Kingdom of the Unicorn", + "The Isle of the Dragon", + "The Valley of the Lost", + "The City of Mirrors", + "The Palace of Dreams", + "The Tower of Destiny", + "The Castle of Shadows", + "The Mountain of Fire", + "The Shattering Isles", + "The Isle of Doom", + "The Shrine of the Lost", + "The Valley of the Damned", + "The Tower of Shadows" + ], + "details": [ + "Elaborate", + "Ornate", + "Intricate", + "Detailed", + "Fine", + "Refined", + "Complicated", + "Convoluted", + "Extensive", + "Exhaustive", + "Far-reaching", + "Informative", + "In-depth", + "Thorough", + "Step-by-step", + "Exact", + "Precise", + "Exquisite", + "Lavish", + "Sumptuous", + "opulent", + "luxurious", + "Intricately designed", + "Grandiose", + "Stately", + "Splendid", + "Magnificent", + "Precious", + "Dazzling", + "Imperceptible detail" + ], + "portrait-type": [ + "Sitting", + "Standing", + "Lying down", + "Leaning", + "Against a wall", + "Looking straight at the camera", + "Looking off to the side", + "Looking down", + "Close-up", + "Mid-range", + "Wide shot", + "Headshot", + "3/4 shot", + "Full body shot", + "Environmental portrait", + "Sitting down with legs crossed", + "Laying down on one's back", + "propped up on one elbow (resting)", + "propped up on one hand (sitting or standing)", + "leaning against a wall", + "leaning forward", + "arms crossed", + "head tilted to the side", + "looking over one shoulder", + "looking off into the distance" + ], + "occupation": [ + "able-bodied seaman", + "Activist", + "Air Force Intelligence", + "Air Force Security Forces", + "Air Force Weather", + "Air Traffic Controllers", + "Aircraft Maintenance Technicians", + "Aircrew", + "Airman", + "Analyst", + "Anarchist", + "Artillery", + "Artilleryman", + "artist", + "athlete", + "barber", + "bicyclist", + "bus driver", + "businessmen", + "Calvary", + "carpenter", + "Cashier", + "cashier", + "Cavalryman", + "chef", + "client", + "colonel", + "commander", + "Communications Specialist", + "Communications", + "Communist", + "commuter", + "consumer", + "corporal", + "Customer Service Representative", + "Democrat", + "Department Manager", + "Diplomat", + "doctor", + "driver", + "electrician", + "employer", + "Engineer", + "firefighter", + "garbage collector", + "general", + "gunner's mate", + "housekeeper", + "Infantry", + "Infantryman", + "Intelligence Analyst", + "Intelligence", + "janitor", + "Judge", + "landscaper", + "Lawyer", + "lawyer", + "lawyers", + "leader", + "Liaison Officer", + "Libertarian", + "lieutenant", + "listener", + "Lobbyist", + "Logisticics", + "mail carrier", + "Maintenance", + "Marine", + "mechanic", + "Medic", + "Merchandiser", + "musician", + "nanny", + "navigator", + "officer", + "Ordnance", + "Pararescueman", + "passenger", + "patient", + "pedestrian", + "Pilot", + "politician", + "plumber", + "police officer", + "private", + "Progressive", + "Protester", + "Psychic", + "quartermaster", + "radarman", + "Recon", + "Reconnaissance Specialist", + "registered nurse", + "Republican", + "Retail Associate", + "Retail Clerk", + "Retail Sales Associate", + "Retail Stocker", + "Retail Supervisor", + "Sailor", + "seaman", + "sergeant", + "shopper", + "Sniper", + "Socialist", + "software engineer", + "Soldier", + "sonarman", + "speaker", + "specialist", + "SpecOps", + "Spy", + "Store Manager", + "storekeeper", + "strategist", + "student", + "Supply", + "tactician", + "Tank Crewman", + "Tanker", + "taxi driver", + "teacher", + "Terrorist", + "Traditionalist", + "trooper", + "Uber driver", + "waiter", + "waitress", + "web developer", + "Wingman", + "worker", + "writer", + "yeoman" + ], + "celeb": [ + "Addison Rae", + "Adele", + "Adriana Lima", + "Adrianne Palicki", + "Ad\u00e8le Exarchopoulos", + "Aimee Lou Wood", + "AJ Lee", + "Alanna Masterson", + "Alejandra Guilmant", + "Alessandra Ambrosio", + "Alex Morgan", + "Alexa Bliss", + "Alexandra Daddario", + "Alexis Ren", + "Alica Schmidt", + "Alice Eve", + "Alicia Vikander", + "Alison Brie", + "Allison Stokke", + "Allison Williams", + "Aly Michalka", + "Aly Raisman", + "Alycia Debnam-Carey", + "Alyson Hannigan", + "Alyssa Milano", + "Amanda Cerny", + "Amanda Seyfried", + "Amber Heard", + "Amy Adams", + "Amy Smart", + "Ana de Armas", + "Angela Kinsey", + "Angela Sarafyan", + "Angelina Jolie", + "Anitta", + "Anna Akana", + "Anna Faris", + "Anna Kendrick", + "Anna Kournikova", + "Anna Paquin", + "AnnaSophia Robb", + "Anne Hathaway", + "Anya Chalotra", + "Anya Taylor-Joy", + "April Bowlby", + "Ariana Grande", + "Ariel Winter", + "Ashley Benson", + "Ashley Graham", + "Ashley Greene", + "Ashley Park", + "Ashley Tisdale", + "Aubrey Plaza", + "Auli\u2019i Cravalho", + "Avril Lavigne", + "Awkwafina", + "Bailee Madison", + "Bar Refaeli", + "Barbara Palvin", + "Bebe Rexha", + "Becky G", + "Becky Lynch", + "Bella Hadid", + "Bella Thorne", + "Beth Behrs", + "Betty Gilpin", + "Beyonc\u00e9", + "Billie Eilish", + "Blake Lively", + "Bonnie Wright", + "Brenda Song", + "Brianna Hildebrand", + "Brie Bella", + "Brie Larson", + "Brighton Sharbino", + "Britney Spears", + "Brittany Snow", + "Brooklyn Decker", + "Bryce Dallas Howard", + "Caity Lotz", + "Cameron Diaz", + "Camila Cabello", + "Camila Mendes", + "Camilla Luddington", + "Candice Swanepoel", + "Cara Delevingne", + "Cardi B", + "Carey Mulligan", + "Carice van Houten", + "Carla Gugino", + "Carly Rae Jepsen", + "Caroline Vreeland", + "Cate Blanchett", + "Caylee Cowan", + "Charisma Carpenter", + "Charli D\u2019Amelio", + "Charli XCX", + "Charlize Theron", + "Charlotte Flair", + "Charlotte McKinney", + "Chelsea Handler", + "Chloe Bennet", + "Chloe Kim", + "Chlo\u00eb Grace Moretz", + "Chlo\u00eb Sevigny", + "Chrissy Teigen", + "Christen Harper", + "Christian Serratos", + "Christina Aguilera", + "Christina Hendricks", + "Christina Ricci", + "Cindy Crawford", + "CJ Perry", + "Cobie Smulders", + "Courteney Cox", + "Cristin Milioti", + "Daisy Edgar-Jones", + "Daisy Ridley", + "Dakota Fanning", + "Dakota Johnson", + "Danielle Panabaker", + "Debby Ryan", + "Deborah Ann Woll", + "Demi Lovato", + "Demi Moore", + "Demi Rose", + "Denise Richards", + "Diana Silvers", + "Diane Guerrero", + "Diane Kruger", + "Diora Baird", + "Disha Patani", + "Dixie D\u2019Amelio", + "Doja Cat", + "Dominique McElligott", + "Dove Cameron", + "Drew Barrymore", + "Dua Lipa", + "Eiza Gonz\u00e1lez", + "Eleanor Tomlinson", + "Elisabeth Shue", + "Elisha Cuthbert", + "Eliza Dushku", + "Elizabeth Banks", + "Elizabeth Debicki", + "Elizabeth Gillies", + "Elizabeth Hurley", + "Elizabeth Olsen", + "Elizabeth Turner", + "Elle Fanning", + "Ellie Goulding", + "Ellie Kemper", + "Elsa Hosk", + "Elsa Pataky", + "Elsie Hewitt", + "Emilia Clarke", + "Emily Bett Rickards", + "Emily Blunt", + "Emily Kinney", + "Emily Osment", + "Emily Ratajkowski", + "Emily VanCamp", + "Emma Kenney", + "Emma Mackey", + "Emma Raducanu", + "Emma Roberts", + "Emma Stone", + "Emma Watson", + "Emmanuelle Chriqui", + "Emmy Rossum", + "Erin Moriarty", + "Eugenie Bouchard", + "Eva Amurri", + "Eva Green", + "Eva Longoria", + "Eva Mendes", + "Evan Rachel Wood", + "Evangeline Lilly", + "Felicity Jones", + "Florence Pugh", + "Freya Allan", + "Gal Gadot", + "Gemma Arterton", + "Giada De Laurentiis", + "Gigi Hadid", + "Gillian Anderson", + "Gillian Jacobs", + "Gina Carano", + "Gisele B\u00fcndchen", + "Gwen Stefani", + "Gwyneth Paltrow", + "Hailee Steinfeld", + "Hailey Bieber", + "Halle Berry", + "Halsey", + "Hannah Simone", + "Hayden Panettiere", + "Hayley Atwell", + "Heather Graham", + "Heidi Klum", + "Helen Mirren", + "Helene Fischer", + "Hilary Duff", + "Holly Willoughby", + "HoYeon Jung", + "Hunter King", + "Hunter Schafer", + "Iggy Azalea", + "Ilana Glazer", + "Iliza Shlesinger", + "Imogen Poots", + "Ireland Baldwin", + "Irina Shayk", + "Iris Apatow", + "Isabela Merced", + "Isidora Goreshter", + "Isla Fisher", + "Jackie Cruz", + "Jaime Pressly", + "Jaimie Alexander", + "Jamie Chung", + "Jamie Lee Curtis", + "Jane Levy", + "January Jones", + "Jenna Coleman", + "Jenna Dewan", + "Jenna Fischer", + "Jennette McCurdy", + "Jennifer Aniston", + "Jennifer Connelly", + "Jennifer Garner", + "Jennifer Holland", + "Jennifer Lawrence", + "Jennifer Lopez", + "Jennifer Love Hewitt", + "Jennifer Morrison", + "Jenny Slate", + "Jessica Alba", + "Jessica Biel", + "Jessica Chastain", + "Jessica Parker Kennedy", + "Jessica Par\u00e9", + "Jessica Simpson", + "Jewel Staite", + "Jodie Comer", + "Joey King", + "JoJo", + "Jordana Brewster", + "Jordyn Huitema", + "Jordyn Jones", + "Josephine Skriver", + "Judy Greer", + "Julia Fox", + "Julia Garner", + "Julianne Hough", + "Julianne Moore", + "Julie Bowen", + "Juno Temple", + "Jutta Leerdam", + "Kaia Gerber", + "Kaitlyn Dever", + "Kaley Cuoco", + "Karen Fukuhara", + "Karen Gillan", + "Karlie Kloss", + "Kat Dennings", + "Kate Beckinsale", + "Kate Hudson", + "Kate Mara", + "Kate Upton", + "Kate Winslet", + "Katelyn Nacon", + "Katelyn Ohashi", + "Katherine Heigl", + "Katherine Langford", + "Katherine McNamara", + "Katherine Waterston", + "Katheryn Winnick", + "Kathryn Hahn", + "Katie Holmes", + "Katy Perry", + "Kaya Scodelario", + "Keira Knightley", + "Kelly Brook", + "Kelly Rohrbach", + "Kendall Jenner", + "Kerry Washington", + "Kesha", + "Khlo\u00e9 Kardashian", + "Kiernan Shipka", + "Kim Kardashian", + "Kimberley Garner", + "Kimiko Glenn", + "Kira Kosarin", + "Kirsten Dunst", + "Kourtney Kardashian", + "Kristen Bell", + "Kristen Stewart", + "Kristen Wiig", + "Kristin Kreuk", + "Krysten Ritter", + "Kylie Jenner", + "Kylie Minogue", + "Lacey Chabert", + "Lady Gaga", + "Lais Ribeiro", + "Lake Bell", + "Lana Del Rey", + "Larsen Thompson", + "Laura Harrier", + "Laura Prepon", + "Lauren Cohan", + "Lea Seydoux", + "Leelee Sobieski", + "Leila Lowfire", + "Lena Gercke", + "Lena Headey", + "Lena Meyer-Landrut", + "Leslie Mann", + "Lili Reinhart", + "Lili Simmons", + "Lily Chee", + "Lily Collins", + "Lily James", + "Lily Sheen", + "Lily-Rose Depp", + "Linda Cardellini", + "Lindsay Lohan", + "Lindsey Pelas", + "Lindsey Vonn", + "Lisa Kudrow", + "Liv Tyler", + "Lizzy Caplan", + "Lorde", + "Lucy Hale", + "Lucy Lawless", + "Lucy Liu", + "Lucy Pinder", + "Lupita Nyong\u2019o", + "Lyndsy Fonseca", + "Mackenzie Davis", + "Mackenzie Foy", + "Mackenzie Ziegler", + "Maddie Ziegler", + "Madelaine Petsch", + "Madison Beer", + "Madison Pettis", + "Madisyn Shipman", + "Madonna", + "Maggie Grace", + "Maggie Gyllenhaal", + "Maia Mitchell", + "Maisie Williams", + "Malin \u00c5kerman", + "Mandy Moore", + "Margaret Qualley", + "Margot Robbie", + "Maria Bakalova", + "Maria Menounos", + "Maria Sharapova", + "Mariah Carey", + "Marion Cotillard", + "Marisa Tomei", + "Mary Elizabeth Winstead", + "Maryse", + "Mar\u00eda Pedraza", + "Maude Apatow", + "Maya Hawke", + "McKayla Maroney", + "Meagan Good", + "Megan Fox", + "Megan Thee Stallion", + "Meghan Markle", + "Melissa Benoist", + "Melissa Fumero", + "Melissa Rauch", + "Mena Suvari", + "Michelle Jenneke", + "Michelle Monaghan", + "Michelle Rodriguez", + "Michelle Trachtenberg", + "Michelle Williams", + "Miesha Tate", + "Mila Kunis", + "Milana Vayntrub", + "Miley Cyrus", + "Milla Jovovich", + "Millie Bobby Brown", + "Minka Kelly", + "Miranda Cosgrove", + "Miranda Kerr", + "Monica Bellucci", + "Morena Baccarin", + "Naomi Campbell", + "Naomi Scott", + "Naomi Watts", + "Natalia Dyer", + "Natalie Alyn Lind", + "Natalie Dormer", + "Natalie Portman", + "Natasha Lyonne", + "Nathalie Emmanuel", + "Neve Campbell", + "Nicki Minaj", + "Nicole Kidman", + "Nicole Scherzinger", + "Nikki Bella", + "Nikki Glaser", + "Nina Agdal", + "Nina Dobrev", + "Normani", + "Olga Kurylenko", + "Olivia Culpo", + "Olivia Munn", + "Olivia Rodrigo", + "Olivia Taylor Dudley", + "Olivia Wilde", + "Padma Lakshmi", + "Paige", + "Paige Spiranac", + "Paige VanZant", + "Palina Rojinski", + "Pamela Anderson", + "Paris Hilton", + "Paulina Gait\u00e1n", + "Pen\u00e9lope Cruz", + "Peyton List", + "Phoebe Tonkin", + "Pokimane", + "Pom Klementieff", + "Priyanka Chopra", + "Rachel Bilson", + "Rachel Brosnahan", + "Rachel Cook", + "Rachel McAdams", + "Rachel Weisz", + "Rachel Zegler", + "Rashida Jones", + "Rebecca Black", + "Rebecca Ferguson", + "Reese Witherspoon", + "Rhea Seehorn", + "Rihanna", + "Rita Ora", + "Robin Wright", + "Ronda Rousey", + "Ronja Forcher", + "Rooney Mara", + "Rosamund Pike", + "Rosario Dawson", + "Rose Byrne", + "Rose Leslie", + "Rose McIver", + "Rosie Huntington-Whiteley", + "Ruby O. Fee", + "Ruby Rose", + "Sabrina Carpenter", + "Sadie Sink", + "Salma Hayek", + "Samara Weaving", + "Sammi Hanratty", + "Sandra Bullock", + "Saoirse Ronan", + "Sara Sampaio", + "Sara Underwood", + "Sarah Chalke", + "Sarah Hyland", + "Sarah McDaniel", + "Sarah Michelle Gellar", + "Sarah Paulson", + "Sarah Shahi", + "Sarah Silverman", + "Sasha Alexander", + "Sasha Banks", + "Saweetie", + "Scarlett Johansson", + "Selena Gomez", + "Serena Williams", + "Shailene Woodley", + "Shakira", + "Shanola Hampton", + "Shantel VanSanten", + "Sharon Stone", + "Sienna Miller", + "Simone Biles", + "Sof\u00eda Vergara", + "Sophia Lillis", + "Sophia Thomalla", + "Sophie Turner", + "Stacy Keibler", + "Stephanie Beatriz", + "Stephanie McMahon", + "Susan Sarandon", + "Sydney Sweeney", + "Taylor Hill", + "Taylor Schilling", + "Taylor Swift", + "Tessa Thompson", + "Thomasin McKenzie", + "Tiffani Thiessen", + "Tina Fey", + "Tinashe", + "Torrie Wilson", + "Tove Lo", + "Tyra Banks", + "Uma Thurman", + "Ursula Corber\u00f3", + "Vanessa Hudgens", + "Vanessa Kirby", + "Vica Kerekes", + "Victoria De Angelis", + "Victoria Justice", + "Whitney Cummings", + "Willa Fitzgerald", + "Willa Holland", + "Winona Ryder", + "Yanet Garcia", + "Yvonne Strahovski", + "Zara Larsson", + "Zazie Beetz", + "Zendaya", + "Zoe Saldana", + "Zoey Deutch", + "Zooey Deschanel", + "Zo\u00eb Kravitz" + ], + "neg-weight": [ + "jpeg artifact", + "Image compression", + "Distorted", + "Grainy", + "Out of Focus", + "Blurry", + "DOF", + "Noisy", + "Watermark", + "Text", + "Copyright", + "low resolution", + "shaky", + "too bright", + "too dark", + "Poorly lit", + "Pixelated", + "Poor quality", + "low quality", + "Unclear", + "Blocked", + "Artifacts", + "Banding", + "Truncated", + "Out of Frame", + "disjointed", + "incoherent", + "asymmetry", + "disorganized", + "jumbled", + "tasteless", + "tacky" + ], + "landscape-type": [ + "abstract landscape", + "aerial landscape", + "architectural landscape", + "botanical landscape", + "cityscapes", + "desertscapes", + "ecological landscape", + "fantasy landscape", + "flowering landscape", + "forestscapes", + "historical landscape", + "industrial landscape", + "landscape", + "landscape in black and white", + "landscape in color", + "landscape with Analogous Colors", + "landscape with animals", + "landscape with Asymmetry", + "landscape with Atmospheric Perspective", + "landscape with Balance", + "landscape with balance", + "landscape with Bright Colors", + "landscape with chroma", + "landscape with colors", + "landscape with Complementary Colors", + "landscape with contrast", + "landscape with Contrast of Brightness and Darkness", + "landscape with Contrast of Earth Tones and Non-Earth Tones", + "landscape with Contrast of Hue", + "landscape with Contrast of Intensity", + "landscape with Contrast of Lightness", + "landscape with Contrast of Saturation", + "landscape with Contrast of Visual Weight", + "landscape with Contrast of Warmth and Coolth", + "landscape with Cool Colors", + "landscape with Curvilinear", + "landscape with Dark Colors", + "landscape with depth", + "landscape with dimensions", + "landscape with Dimetric Perspective", + "landscape with Dominance", + "landscape with earth", + "landscape with Earth Colors", + "landscape with Emphasis", + "landscape with fire", + "landscape with Focal Point", + "landscape with form", + "landscape with Four-Point Perspective", + "landscape with Freeform", + "landscape with Geometric", + "landscape with Gradation", + "landscape with Hard Texture", + "landscape with Harmony", + "landscape with harmony", + "landscape with Horizontal Balance", + "landscape with hue", + "landscape with intensity", + "landscape with Isometric Perspective", + "landscape with light", + "landscape with lightness", + "landscape with Linear Perspective", + "landscape with moon", + "landscape with movement", + "landscape with Multi-Point Perspective", + "landscape with Neutral Colors", + "landscape with One-Point Perspective", + "landscape with Organic", + "landscape with Pattern", + "landscape with pattern", + "landscape with people", + "landscape with perspective", + "landscape with Proportion", + "landscape with proportion", + "landscape with Quadrilateral", + "landscape with Radial Balance", + "landscape with Rectilinear", + "landscape with Repetition", + "landscape with rhythm", + "landscape with Rough Texture", + "landscape with saturation", + "landscape with scale", + "landscape with shade", + "landscape with shadow", + "landscape with shapes", + "landscape with Simultaneous Contrast", + "landscape with Single-Point Perspective", + "landscape with sky", + "landscape with Smooth Texture", + "landscape with Soft Texture", + "landscape with space", + "landscape with stars", + "landscape with Subordination", + "landscape with sun", + "landscape with Symmetry", + "landscape with temperature", + "landscape with Texture", + "landscape with texture", + "landscape with Three-Point Perspective", + "landscape with time", + "landscape with tint", + "landscape with tone", + "landscape with Triangulation", + "landscape with Trimetric Perspective", + "landscape with Two-Point Perspective", + "landscape with Unity", + "landscape with unity", + "landscape with value", + "landscape with Variety", + "landscape with variety", + "landscape with Vertical Balance", + "landscape with Visual Weight", + "landscape with Warm Colors", + "landscape with water", + "landscape with wind", + "landscape withlines", + "maximalist landscape", + "minimalist landscape", + "mountainscapes", + "mythological landscape", + "panoramic landscape", + "political landscape", + "religious landscape", + "scientific landscape", + "seascapes", + "skyscapes", + "snowscapes", + "surreal landscape" + ], + "animals": [ + "Aardvark", + "Aardwolf", + "Abyssinian", + "Achrioptera Manga", + "Addax", + "Adelie Penguin", + "Aesculapian snake", + "Affenpinscher", + "Afghan Hound", + "African Bullfrog", + "African Bush Elephant", + "African Civet", + "African Clawed Frog", + "African Fish Eagle", + "African Forest Elephant", + "African Golden Cat", + "African Grey Parrot", + "African Jacana", + "African Palm Civet", + "African Penguin", + "African Tree Toad", + "African Wild Dog", + "Agama Lizard", + "Aidi", + "Ainu", + "Airedale Terrier", + "Airedoodle", + "Akbash", + "Akita", + "Akita Shepherd", + "Alabai", + "Alaskan Husky", + "Alaskan Klee Kai", + "Alaskan Malamute", + "Alaskan Pollock", + "Alaskan Shepherd", + "Albacore Tuna", + "Albatross", + "Aldabra Giant Tortoise", + "Alligator Gar", + "Allosaurus", + "Alpaca", + "Alpine Dachsbracke", + "Alpine Goat", + "Alusky", + "Amargasaurus", + "Amazon Parrot", + "Amazon River Dolphin (Pink Dolphin)", + "Amazon Tree Boa", + "Ambrosia Beetle", + "American Alligator", + "American Alsatian", + "American Bulldog", + "American Cocker Spaniel", + "American Cockroach", + "American Coonhound", + "American Dog Tick", + "American Eskimo Dog", + "American Foxhound", + "American Hairless Terrier", + "American Leopard Hound", + "American Paddlefish", + "American Pit Bull Terrier", + "American Pugabull", + "American Pygmy Goat", + "American Robin", + "American Staffordshire Terrier", + "American Toad", + "American Water Spaniel", + "American Wirehair Traits", + "Amethystine Python (Scrub Python)", + "Amur Leopard", + "Anaconda", + "Anatolian Shepherd Dog", + "Anchovies", + "Angelfish", + "Angelshark", + "Anglerfish", + "Angora Ferret", + "Angora Goat", + "Anole Lizard", + "Anomalocaris", + "Ant", + "Antarctic scale worm", + "Anteater", + "Antelope", + "Ape", + "Appenzeller Dog", + "Apple Head Chihuahua", + "Apple Moth", + "Arabian Cobra", + "Arafura File Snake", + "Arapaima", + "Archaeopteryx", + "Archaeotherium", + "Archelon Turtle", + "Arctic Char", + "Arctic Fox", + "Arctic Hare", + "Arctic Wolf", + "Arctodus", + "Arctotherium", + "Arizona Bark Scorpion", + "Arizona Black Rattlesnake", + "Arizona Coral Snake", + "Armadillo", + "Armadillo Lizard", + "Armyworm", + "Aruba Rattlesnake", + "Asian Arowana", + "Asian Cockroach", + "Asian Elephant", + "Asian Giant Hornet", + "Asian Lady Beetle", + "Asian Palm Civet", + "Asian Vine Snake", + "Asiatic Black Bear", + "Asp", + "Assassin Bug", + "Atlantic Salmon", + "Atlas Moth", + "Aurochs", + "Aussiedoodle", + "Aussiedor", + "Australian Bulldog", + "Australian Cattle Dog", + "Australian Cockroach", + "Australian Flathead Perch", + "Australian Gecko", + "Australian Kelpie Dog", + "Australian Labradoodle", + "Australian Mist", + "Australian Retriever", + "Australian Shepherd", + "Australian Terrier", + "Australopithecus", + "Avocet", + "Axolotl", + "Aye Aye", + "Babirusa", + "Baboon", + "Bactrian Camel", + "Badger", + "Baiji", + "Baird\u2019s Rat Snake", + "Bald Eagle", + "Baleen Whale", + "Balinese", + "Balkan Lynx", + "Ball Python", + "Bamboo Worms", + "Banana Ball Python", + "Banana Eel", + "Banana Spider", + "Banded Krait", + "Banded Palm Civet", + "Banded Water Snake", + "Bandicoot", + "Banjo Catfish", + "Barb", + "Barbet", + "Barn Owl", + "Barn Swallow", + "Barnacle", + "Barracuda", + "Barramundi Fish", + "Barred Owl", + "Basenji Dog", + "Basilisk Lizard", + "Basilosaurus", + "Basking Shark", + "Bassador", + "Basset Fauve de Bretagne", + "Basset Hound", + "Bassetoodle", + "Bat", + "Batfish", + "Bavarian Mountain Hound", + "Baya", + "Bea-Tzu", + "Beabull", + "Beagador", + "Beagle", + "Beagle Shepherd", + "Beaglier", + "Beago", + "Bear", + "Bearded Collie", + "Bearded Dragon", + "Bearded Vulture", + "Beaski", + "Beauceron", + "Beauty rat snake", + "Beaver", + "Bed Bugs", + "Bedlington Terrier", + "Bee", + "Beefalo", + "Beetle", + "Belgian Shepherd", + "Belgian Tervuren", + "Belted Kingfisher", + "Beluga Sturgeon", + "Bengal Tiger", + "Bergamasco", + "Berger Picard", + "Bernedoodle", + "Bernese Mountain Dog", + "Bernese Shepherd", + "Betta Fish (Siamese Fighting Fish)", + "Bichir", + "Bichon Frise", + "Bichpoo", + "Biewer Terrier", + "Bighorn Sheep", + "Bilby", + "Binturong", + "Bird", + "Bird Of Paradise", + "Bird Snake", + "Birman", + "Biscuit Beetle", + "Bismarck Ringed Python", + "Bison", + "Black And Tan Coonhound", + "Black and White Warbler", + "Black Mamba", + "Black Marlin", + "Black Rat Snake", + "Black Rhinoceros", + "Black Russian Terrier", + "Black Wasp", + "Black Widow Spider", + "Black Witch Moth", + "Black-Capped Chickadee", + "Black-Footed Ferret", + "Black-headed python", + "Blacknose Shark", + "Blackpoll Warbler", + "Blacktip Reef Shark", + "Bladefin Basslet", + "Blanket Octopus", + "Blind Snake", + "Blister Beetle", + "Blobfish", + "Blood Python", + "Bloodhound", + "Blue Belly Lizard", + "Blue Catfish", + "Blue Eyed Pleco", + "Blue Gray Gnatcatcher", + "Blue grosbeak", + "Blue Iguana", + "Blue Jay", + "Blue Lacy Dog", + "Blue Picardy Spaniel", + "Blue Racer", + "Blue Shark", + "Blue Tit", + "Blue Whale", + "Blue-Ringed Octopus", + "Bluefin Tuna", + "Bluegill", + "Bluetick Coonhound", + "Boas", + "Bobcat", + "Bobolink", + "Boelen\u2019s python", + "Boggle", + "Boglen Terrier", + "Boiga", + "Bolivian Anaconda", + "Bolognese Dog", + "Bombay", + "Bongo", + "Bonito Fish", + "Bonnethead Shark", + "Bonobo", + "Booby", + "Boomslang", + "Borador", + "Border Collie", + "Border Terrier", + "Bordoodle", + "Borkie", + "Bornean Orang-utan", + "Borneo Elephant", + "Boston Terrier", + "Bottlenose Dolphin", + "Bouvier Des Flandres", + "Bowfin", + "Bowhead Whale", + "Box Tree Moth", + "Box Turtle", + "Boxachi Dog Breed Complete Guide", + "Boxador", + "Boxer Dog", + "Boxerdoodle", + "Boxfish", + "Boxsky", + "Boxweiler", + "Boykin Spaniel", + "Brachiosaurus", + "Brahminy Blindsnake", + "Brazilian Terrier", + "Bredl\u2019s Python", + "British Timber", + "Brittany", + "Brontosaurus", + "Bronze Whaler Shark", + "Brookesia Micra", + "Brown Bear", + "Brown Dog Tick", + "Brown Hyena", + "Brown Snake", + "Brown Water Snake", + "Brown-banded Cockroach", + "Brug", + "Brussels Griffon", + "Budgerigar", + "Buffalo", + "Bull Shark", + "Bull Terrier", + "Bull Trout", + "Bulldog", + "Bullfrog", + "Bullmastiff", + "Bullsnake", + "Bumblebee", + "Burmese", + "Burmese Python", + "Burrowing Frog", + "Burrowing Owl", + "Bush Baby", + "Bush Viper", + "Bushmaster Snake", + "Butterfly", + "Butterfly Fish", + "Cabbage Moth", + "Cactus Moth", + "Cactus Mouse", + "Cactus Wren", + "Caecilian", + "Caiman", + "Caiman Lizard", + "Cairn Terrier", + "California Condor", + "California Kingsnake", + "Camel", + "Camel Cricket", + "Camel Spider", + "Canaan Dog", + "Canada Lynx", + "Canada Warbler", + "Canadian Eskimo Dog", + "Canadian Horse", + "Cane Corso", + "Cantil", + "Cape Lion", + "Capybara", + "Caracal", + "Caribbean Reef Shark", + "Caribou", + "Carolina Dog", + "Carolina Parakeet", + "Carp", + "Carpenter Ant", + "Carpet Python", + "Carpet Viper", + "Cascabel", + "Cashmere Goat", + "Cassowary", + "Cat", + "Cat Snake", + "Cat-Eyed Snake", + "Catahoula Leopard", + "Catalan Sheepdog", + "Caterpillar", + "Catfish", + "Cava Tzu", + "Cavador", + "Cavalier King Charles Spaniel", + "Cavapoo", + "Cave Bear", + "Cave Lion", + "Cecropia Moth", + "Centipede", + "Central Ranges Taipan", + "Ceratosaurus", + "Cesky Fousek", + "Cesky Terrier", + "Chameleon", + "Chamois", + "Chartreux", + "Cheagle", + "Checkered Garter Snake", + "Cheetah", + "Chesapeake Bay Retriever", + "Chestnut-Sided Warbler", + "Chickadee", + "Chicken", + "Chicken Snake", + "Chihuahua", + "Children\u2019s python", + "Chimaera", + "Chimpanzee", + "Chinchilla", + "Chinese Alligator", + "Chinese Cobra", + "Chinese Crested Dog", + "Chinese Geese", + "Chinese Paddlefish", + "Chinese Shar-Pei", + "Chinook", + "Chinook Salmon", + "Chinstrap Penguin", + "Chipmunk", + "Chipoo", + "Chipping Sparrow", + "Chiweenie", + "Chorkie", + "Chow Chow", + "Chow Shepherd", + "Christmas Island Red Crab", + "Cicada", + "Cichlid", + "Cinereous Vulture", + "Cinnamon Ferret", + "Clothes Moth", + "Clouded Leopard", + "Clownfish", + "Clumber Spaniel", + "Coachwhip Snake", + "Coastal Carpet Python", + "Coastal Taipan", + "Coati", + "Cobia Fish", + "Cobras", + "Cockalier", + "Cockapoo", + "Cockatiel", + "Cockatoo", + "Cocker Spaniel", + "Cockroach", + "Codfish", + "Codling Moth", + "Coelacanth", + "Collared Peccary", + "Collett\u2019s Snake", + "Collie", + "Colossal Squid", + "Comet Moth", + "Common Buzzard", + "Common Carp", + "Common European Adder", + "Common Frog", + "Common Furniture Beetle", + "Common House Spider", + "Common Loon", + "Common Raven", + "Common Toad", + "Compsognathus", + "Conger Eel", + "Congo Snake", + "Cookiecutter Shark", + "Cooper\u2019s Hawk", + "Copperhead", + "Coral", + "Coral Snake", + "Corgidor", + "Corgipoo", + "Corkie", + "Corman Shepherd", + "Corn Rex Cat (Cornish Rex)", + "Corn Snake", + "Cory Catfish", + "Coton de Tulear", + "Cotton-top Tamarin", + "Cottonmouth", + "Cougar", + "Cow", + "Coyote", + "Crab", + "Crab Spider", + "Crab-Eating Macaque", + "Crabeater Seal", + "Crane", + "Crappie Fish", + "Crested Gecko", + "Crested Penguin", + "Cricket", + "Crocodile", + "Crocodile Monitor", + "Cross Fox", + "Cross River Gorilla", + "Crow", + "Crucian Carp", + "Cuban Boa", + "Cuban Cockroach", + "Cuckoo", + "Curly Coated Retriever", + "Cuscus", + "Cuttlefish", + "Czechoslovakian Wolfdog", + "Dachsador", + "Dachshund", + "Daeodon", + "Dalmadoodle", + "Dalmador", + "Dalmatian", + "Danios", + "Dapple Dachshund", + "Dark-Eyed Junco", + "Darwin\u2019s fox", + "Darwin\u2019s Frog", + "Death Adder", + "Death\u2019s Head Cockroach", + "Deathwatch Beetle", + "Deer", + "Deer Head Chihuahua", + "Deer Tick", + "Desert Kingsnake", + "Desert Locust", + "Desert Rain Frog", + "Desert Tortoise", + "Deutsche Bracke", + "Devils Coach Horse Beetle", + "Devon Rex", + "Dhole", + "Diamond python", + "Diamondback Moth", + "Dik-Dik", + "Dingo", + "Dinopithecus", + "Diplodocus", + "Dire Wolf", + "Discus", + "Doberman Pinscher", + "Dodo", + "Dog", + "Dog Tick", + "Dogo Argentino", + "Dogue De Bordeaux", + "Dolphin", + "Donkey", + "Dorgi", + "Dorkie", + "Dormouse", + "Double Doodle", + "Douc", + "Downy Woodpecker", + "Doxiepoo", + "Doxle", + "Draco Volans Lizard", + "Dragon Eel", + "Dragonfish", + "Dragonfly", + "Dreadnoughtus", + "Drever", + "Drum Fish", + "Dubia Cockroach", + "Duck", + "Dugong", + "Dumeril\u2019s Boa", + "Dung Beetle", + "Dunker", + "Dunnock", + "Dusky Dolphin", + "Dusky Shark", + "Dwarf Boa", + "Dwarf Crocodile", + "Dwarf Hamster", + "Eagle", + "Earthworm", + "Earwig", + "Eastern Barred Bandicoot", + "Eastern Bluebird", + "Eastern Brown Snake", + "Eastern Chipmunk", + "Eastern Coral Snake", + "Eastern Diamondback Rattlesnake", + "Eastern Fence Lizard", + "Eastern Glass Lizard", + "Eastern Gorilla", + "Eastern Gray Squirrel", + "Eastern Green Mamba", + "Eastern Hognose Snake", + "Eastern Indigo Snake", + "Eastern Lowland Gorilla", + "Eastern Phoebe", + "Eastern Racer", + "Eastern Rat snake", + "Eastern Woodrat", + "Echidna", + "Eclectus Parrot", + "Edible Frog", + "Eel", + "Egyptian Cobra (Egyptian Asp)", + "Egyptian Goose", + "Egyptian Mau", + "Eland", + "Elasmosaurus", + "Elasmotherium", + "Electric Catfish", + "Electric Eel", + "Elegant Tern", + "Elephant", + "Elephant Seal", + "Elephant Shrew", + "Elk", + "Emerald Tree Boa", + "Emerald Tree Monitor", + "Emperor Penguin", + "Emperor Tamarin", + "Emu", + "English Bulldog", + "English Cocker Spaniel", + "English Cream Golden Retriever", + "English Foxhound", + "English Pointer", + "English Setter", + "English Shepherd", + "English Springer Spaniel", + "Entlebucher Mountain Dog", + "Epagneul Pont Audemer", + "Equatorial Spitting Cobra", + "Ermine", + "Escolar", + "Eskimo Dog", + "Eskipoo", + "Estrela Mountain Dog", + "Eurasian Beaver", + "Eurasian Jay", + "Eurasian Lynx", + "Eurasian Nuthatch", + "Eurasian Wolf", + "European Bee-Eater", + "European Corn Borer", + "European Polecat", + "European Robin", + "European Starling", + "European Wildcat", + "Evening Bat", + "Eyelash Viper", + "Fairy-Wren", + "Falcon", + "Fallow deer", + "False Cobra", + "False coral snake", + "False Killer Whale", + "False Water Cobra", + "False Widow Spider", + "Fangtooth", + "Feist", + "Fennec Fox", + "Fer-de-lance Snake", + "Ferret", + "Ferruginous Hawk", + "Fiddler Crab", + "Field Spaniel", + "Fierce Snake", + "Fila Brasileiro", + "Fin Whale", + "Finnish Spitz", + "Fire Eel", + "Fire salamander", + "Fire-Bellied Toad", + "Firefly", + "Fish", + "Fisher Cat", + "Fishing Cat", + "Flamingo", + "Flat-Coated Retriever", + "Flea", + "Florida Gar", + "Florida Panther", + "Florida Woods Cockroach", + "Flounder", + "Flowerhorn Fish", + "Fluke Fish (summer flounder)", + "Fly", + "Flying Fish", + "Flying Lemur", + "Flying Snake", + "Flying Squirrel", + "Football Fish", + "Forest Cobra", + "Formosan Mountain Dog", + "Fossa", + "Fox", + "Fox Snakes", + "Fox Squirrel", + "Fox Terrier", + "French Bulldog", + "Frenchton", + "Frengle", + "Freshwater Crocodile", + "Freshwater Eel", + "Freshwater Jellyfish", + "Frigatebird", + "Frilled Lizard", + "Frilled Shark", + "Frog", + "Frogfish", + "Fruit Bat", + "Fruit Fly", + "Fur Seal", + "Gaboon Viper", + "Galapagos Penguin", + "Galapagos Shark", + "Galapagos Tortoise", + "Gar", + "Garden Eel", + "Gargoyle Gecko", + "Garter Snake", + "Gazelle", + "Gecko", + "Genet", + "Gentoo Penguin", + "Geoffroys Tamarin", + "Gerberian Shepsky", + "Gerbil", + "German Cockroach", + "German Pinscher", + "German Shepherd Guide", + "German Sheppit", + "German Sheprador", + "German Shorthaired Pointer", + "German Spitz", + "Gharial", + "Ghost Catfish", + "Ghost Crab", + "Giant African Land Snail", + "Giant Armadillo", + "Giant Clam", + "Giant Desert Centipede", + "Giant Leopard Moth", + "Giant Panda Bear", + "Giant Salamander", + "Giant Schnauzer", + "Giant Schnoodle", + "Giant Weta", + "Gibbon", + "Gigantopithecus", + "Gila Monster", + "Giraffe", + "Glass Frog", + "Glass Lizard", + "Glechon", + "Glen Of Imaal Terrier", + "Glow Worm", + "Gnat", + "Goat", + "Goberian", + "Goblin Shark", + "Goby Fish", + "Goldador", + "Golden Dox", + "Golden Lancehead", + "Golden Lion Tamarin", + "Golden Masked Owl", + "Golden Newfie", + "Golden Oriole", + "Golden Pyrenees", + "Golden Retriever", + "Golden Saint", + "Golden Shepherd", + "Golden Tortoise Beetle", + "Golden-Crowned Flying Fox", + "Golden-Crowned Kinglet", + "Goldendoodle", + "Goldfish", + "Goliath Beetle", + "Goliath Frog", + "Goliath Tigerfish", + "Gomphotherium", + "Goonch Catfish", + "Goose", + "Gopher", + "Gopher Snake", + "Gopher Tortoise", + "Gordon Setter", + "Gorilla", + "Goshawk", + "Gouldian Finch", + "Grass Carp", + "Grass Snake", + "Grasshopper", + "Grasshopper Mouse", + "Gray Fox", + "Gray Tree Frog", + "Great Blue Heron", + "Great Crested Flycatcher", + "Great Dane", + "Great Danoodle", + "Great Egret", + "Great Hammerhead Shark", + "Great Plains Rat Snake", + "Great Potoo Bird", + "Great Pyrenees", + "Great White Shark", + "Greater Swiss Mountain Dog", + "Green Anaconda", + "Green Anole", + "Green Aphids", + "Green Bee-Eater", + "Green Frog", + "Green Heron", + "Green Mamba", + "Green Rat Snake", + "Green Snake", + "Green Tree Frog", + "Green Tree Python", + "Greenland Dog", + "Greenland Shark", + "Grey Heron", + "Grey Mouse Lemur", + "Grey Reef Shark", + "Grey Seal", + "Greyhound", + "Griffon Vulture", + "Griffonshire", + "Grizzly Bear", + "Groenendael", + "Ground Snake", + "Groundhog (Woodchuck)", + "Grouper", + "Grouse", + "Guinea Fowl", + "Guinea Pig", + "Guppy", + "Habu Snake", + "Haddock", + "Hagfish", + "Hairy Woodpecker", + "Halibut", + "Hamburg Chicken", + "Hammerhead Shark", + "Hamster", + "Harbor Seal", + "Hardhead Catfish", + "Hare", + "Harlequin Snake", + "Harp Seal", + "Harpy Eagle", + "Harrier", + "Harris Hawk", + "Havanese", + "Havapoo", + "Havashire", + "Hawaiian Crow", + "Hawaiian Goose", + "Hawaiian Monk Seal", + "Hawk", + "Hawk Moth Caterpillar", + "Hedgehog", + "Hellbender", + "Hercules Beetle", + "Hercules Moth", + "Hermit Crab", + "Heron", + "Herring", + "Highland Cattle", + "Himalayan", + "Hippopotamus", + "Hoary Bat", + "Hobo Spider", + "Hognose snake", + "Hokkaido", + "Honduran White Bat", + "Honey Badger", + "Honey Bee", + "Honey Buzzard", + "Hooded Oriole", + "Hooded Seal", + "Hook-Nosed Sea Snake", + "Hoopoe", + "Horgi", + "Horn Shark", + "Hornbill", + "Horned Adder", + "Horned Frog", + "Horned Lizard", + "Horned Viper", + "Horse", + "Horsefly", + "Horseshoe Crab", + "House Finch", + "House Sparrow", + "House wren", + "Housefly", + "Howler Monkey", + "Human", + "Humboldt Penguin", + "Humboldt Squid", + "Hummingbird", + "Hummingbird Hawk-Moth", + "Humpback Whale", + "Huntaway", + "Huntsman Spider", + "Huskador", + "Huskita", + "Husky", + "Husky Jack", + "Huskydoodle", + "Hyaenodon", + "Hyena", + "Ibex", + "Ibis", + "Ibizan Hound", + "Icelandic Sheepdog", + "Ichthyosaurus", + "Iguana", + "Iguanodon", + "Immortal Jellyfish", + "Impala", + "Imperial Moth", + "Indian Cobra", + "Indian Elephant", + "Indian Giant Squirrel", + "Indian Palm Squirrel", + "Indian python", + "Indian Rhinoceros", + "Indian Star Tortoise", + "Indianmeal Moth", + "Indigo Snake", + "Indochinese Tiger", + "Indri", + "Inland Taipan", + "Insect", + "Insects", + "Irish Doodle", + "Irish Setter", + "Irish Terrier", + "Irish Water Spaniel", + "Irish WolfHound", + "Italian Greyhound", + "Ivory-billed woodpecker", + "Jacana", + "Jack Russell", + "Jackabee", + "Jackal", + "Jackdaw", + "Jackrabbit", + "Jackson\u2019s Chameleon", + "Jaguar", + "Jaguarundi Cat", + "Jamaican Boa", + "Japanese Beetle", + "Japanese Chin", + "Japanese Macaque", + "Japanese rat snake", + "Japanese Spitz", + "Japanese Squirrel", + "Japanese Terrier", + "Javan Rhinoceros", + "Javanese", + "Jellyfish", + "Jerboa", + "Jewel Beetle ", + "John Dory", + "Jonah Crab", + "Joro Spider", + "Jumping Spider", + "Jungle Carpet Python", + "Junglefowl", + "Kai Ken", + "Kakapo", + "Kangal", + "Kangaroo", + "Kangaroo Rat", + "Keel-Billed Toucan", + "Keelback", + "Keeshond", + "Kenyan Sand Boa", + "Kerry Blue Terrier", + "Kestrel", + "Keta Salmon", + "Key Deer", + "Kiko Goat", + "Killdeer", + "Killer Whale", + "Kinabalu Giant Red Leech", + "Kinder Goat", + "King Cobra", + "King Crab", + "King Penguin", + "King Rat Snake", + "King Shepherd", + "King Snake", + "King Vulture", + "Kingfisher", + "Kinkajou", + "Kirtland\u2019s snake", + "Kishu", + "Kit Fox", + "Kitefin Shark", + "Kiwi", + "Klipspringer", + "Koala", + "Kodkod", + "Koi Fish", + "Komodo Dragon", + "Kooikerhondje", + "Kookaburra", + "Koolie", + "Kori Bustard", + "Krait", + "Krill", + "Kudu", + "Kuvasz", + "Labahoula", + "Labmaraner", + "Labradane", + "Labradoodle", + "Labrador Retriever", + "Labraheeler", + "Ladybug", + "Lake Sturgeon", + "Lakeland Terrier", + "LaMancha Goat", + "Lamprey", + "Lancashire Heeler", + "Lappet-faced Vulture", + "Lapponian Herder", + "Larder Beetle", + "Lavender Albino Ball Python", + "Lawnmower Blenny", + "Lazarus Lizard", + "Leaf-Tailed Gecko", + "Leatherback Sea Turtle", + "Leech", + "Leedsichthys", + "Lemming", + "Lemon Shark", + "Lemur", + "Leonberger", + "Leopard", + "Leopard Cat", + "Leopard Frog", + "Leopard Gecko", + "Leopard Lizard", + "Leopard Seal", + "Leopard Shark", + "Leopard Tortoise", + "Lhasa Apso", + "Lhasapoo", + "Liger", + "Linnet", + "Lion", + "Lion\u2019s Mane Jellyfish", + "Lionfish", + "Little Brown Bat", + "Little Penguin", + "Livyatan", + "Lizard", + "Lizardfish", + "Llama", + "Loach", + "Lobster", + "Locust", + "Lone Star Tick", + "Long-Eared Owl", + "Long-Haired Rottweiler", + "Long-Tailed Tit", + "Longfin Mako Shark", + "Longnose Gar", + "Lorikeet", + "Lowchen", + "Lumpfish", + "Lungfish", + "Lynx", + "Lyrebird", + "Macaque", + "Macaroni Penguin", + "Macaw", + "Machaeroides", + "Mackenzie Wolf", + "Madagascar Hissing Cockroach", + "Madagascar Tree Boa", + "Magellanic Penguin", + "Maggot", + "Magpie", + "Mahi Mahi (Dolphin Fish)", + "Maiasaura", + "Maine Coon", + "Malayan Civet", + "Malayan Krait", + "Malayan Tiger", + "Malchi", + "Mallard", + "Malteagle", + "Maltese", + "Maltese Shih Tzu", + "Maltipoo", + "Mamba", + "Mamushi Snake", + "Man of War Jellyfish", + "Manatee", + "Manchester Terrier", + "Mandarin Rat Snake", + "Mandrill", + "Maned Wolf", + "Mangrove Snake", + "Manta Ray", + "Mantella Frog", + "Marabou Stork", + "Marble Fox", + "Marine Iguana", + "Marine Toad", + "Markhor", + "Marmoset", + "Marmot", + "Marsh Frog", + "Masked Angelfish", + "Masked Palm Civet", + "Massasauga", + "Mastador", + "Mastiff", + "Mayfly", + "Meagle", + "Mealybug", + "Meerkat", + "Megalania", + "Megalodon", + "Megamouth Shark", + "Megatherium", + "Mekong Giant Catfish", + "Mexican Alligator Lizard", + "Mexican Black Kingsnake", + "Mexican Eagle (Northern crested caracara)", + "Mexican Free-Tailed Bat", + "Mexican Mole Lizard", + "Microraptor", + "Midget Faded Rattlesnake", + "Miki", + "Milk Snake", + "Milkfish", + "Millipede", + "Mini Labradoodle", + "Miniature Bull Terrier", + "Miniature Husky", + "Miniature Pinscher", + "Mink", + "Minke Whale", + "Mississippi Kite", + "Moccasin Snake", + "Mojarra", + "Mojave Rattlesnake", + "Mola mola (Ocean Sunfish)", + "Mole", + "Mole Cricket", + "Mole Snake", + "Molly", + "Monarch Butterfly", + "Mongoose", + "Mongrel", + "Monitor Lizard", + "Monkey", + "Monkfish", + "Monocled Cobra", + "Monte Iberia Eleuth", + "Moon Jellyfish", + "Moorhen", + "Moose", + "Moray Eel", + "Morkie", + "Mosasaurus", + "Moscow Watchdog", + "Mosquito", + "Moth", + "Mountain Bluebird", + "Mountain Cur", + "Mountain Feist", + "Mountain Gorilla", + "Mountain Lion", + "Mourning Dove", + "Mouse", + "Mozambique Spitting Cobra", + "Mud Snake", + "Mudi", + "Mudpuppy", + "Mule", + "Mulga Snake", + "Muntjac", + "Muskox", + "Muskrat", + "Mussurana Snake", + "Muttaburrasaurus", + "Myna Bird", + "Naked Mole Rat", + "Narwhal", + "Natterjack", + "Neanderthal", + "Neapolitan Mastiff", + "Nebelung", + "Needlefish", + "Neon Tetra", + "Neptune Grouper", + "Newfoundland", + "Newfypoo", + "Newt", + "Nicobar pigeon", + "Nigerian Goat", + "Night Adder", + "Night Heron", + "Night Snake", + "Nightingale", + "Nile Crocodile", + "Nilgai", + "No See Ums", + "Norfolk Terrier", + "North American Black Bear", + "Northern Alligator Lizard", + "Northern Cardinal", + "Northern Flicker", + "Northern Fur Seal", + "Northern Inuit Dog", + "Northern Water Snake", + "Norwegian Buhund", + "Norwegian Elkhound", + "Norwegian Forest", + "Norwegian Lundehund", + "Norwich Terrier", + "Nose-horned viper", + "Nova Scotia Duck Tolling Retriever", + "Nubian Goat", + "Nudibranch", + "Numbat", + "Nurse Shark", + "Nyala", + "Oak Toad", + "Oceanic Whitetip Shark", + "Ocelot", + "Octopus", + "Oenpelli python", + "Okapi", + "Old English Sheepdog", + "Oleander Hawk Moth", + "Olive Baboon", + "Olive python", + "Olive Sea Snake", + "Olm", + "Opah", + "Opossum", + "Orang-utan", + "Orange-Crowned Warbler", + "Orb Weaver", + "Oriental Cockroach", + "Ornithomimus", + "Ortolan Bunting", + "Oscar Fish", + "Ostrich", + "Otter", + "Otterhound", + "Oviraptor", + "Owl", + "Ox", + "Oyster", + "Oyster Toadfish", + "Pacific Sleeper Shark", + "Paddlefish", + "Pademelon", + "Painted Turtle", + "Pangolin", + "Panther", + "Papillon", + "Paradise Flying Snake", + "Parakeet", + "Parasaurolophus", + "Parrot", + "Parrot Snake", + "Parrotfish", + "Parrotlet", + "Parson Russell Terrier", + "Patagotitan", + "Patas Monkey", + "Patterdale Terrier", + "Pea Puffer", + "Peacock", + "Peacock Butterfly", + "Peacock Spider", + "Peagle", + "Peekapoo", + "Pekingese", + "Pelican", + "Pembroke Welsh Corgi", + "Penguin", + "Pennsylvania Wood Cockroach", + "Peppered Moth", + "Peppermint Angelfish", + "Pere Davids Deer", + "Peregrine Falcon", + "Peringuey\u2019s Adder", + "Perro De Presa Canario", + "Persian", + "Peruvian Inca Orchid", + "Pesquet\u2019s Parrot (Dracula Parrot)", + "Petit Basset Griffon Vend\u00e9en", + "Petite Goldendoodle", + "Pheasant", + "Philippine Cobra", + "Phorusrhacos", + "Pied Ball Python", + "Pied Tamarin", + "Pig", + "Pigeon", + "Pika", + "Pike Fish", + "Pileated Woodpecker", + "Pine Marten", + "Pine Snake", + "Pine Snake", + "Pink Fairy Armadillo", + "Pipe Snake", + "Pipefish", + "Piranha", + "Pit Bull", + "Pit Viper", + "Pitador", + "Pitsky", + "Plains Hognose Snake", + "Platinum Arowana", + "Platybelodon", + "Platypus", + "Pocket Beagle", + "Pocket Pitbull", + "Pointer", + "Poison Dart Frog", + "Polar Bear", + "Polecat", + "Polish Lowland Sheepdog", + "Polka Dot Stingray", + "Polyphemus moth", + "Pomapoo", + "Pomchi", + "Pomeagle", + "Pomeranian", + "Pomsky", + "Pond Skater", + "Poochon", + "Poodle", + "Poogle", + "Pool Frog", + "Porbeagle Shark", + "Porcupine", + "Porpoise", + "Possum", + "Potoo", + "Potoroo", + "Prairie Dog", + "Prairie Rattlesnake", + "Prawn", + "Praying Mantis", + "Proboscis Monkey", + "Procoptodon", + "Pronghorn", + "Psittacosaurus", + "Pteranodon", + "Pterodactyl", + "Pudelpointer", + "Puff Adder", + "Pufferfish", + "Puffin", + "Pug", + "Pugapoo", + "Puggle", + "Pugshire", + "Puma", + "Pumi", + "Purple Emperor Butterfly", + "Purple Finch", + "Puss Moth", + "Pygmy Hippopotamus", + "Pygmy Marmoset (Finger Monkey)", + "Pygmy python", + "Pygmy Shark", + "Pygora Goat", + "Pyjama Shark", + "Pyrador", + "Pyredoodle", + "Python", + "Quagga", + "Quail", + "Queen snake", + "Quetzal", + "Quokka", + "Quoll", + "Rabbit", + "Raccoon", + "Raccoon Dog", + "Racer Snake", + "Radiated Tortoise", + "Ragamuffin", + "Ragdoll", + "Raggle", + "Rainbow Boa", + "Rainbow Shark", + "Rat", + "Rat Snakes", + "Rat Terrier", + "Rattlesnake", + "Red Diamondback Rattlesnake", + "Red Finch", + "Red Fox", + "Red Kite", + "Red Knee Tarantula", + "Red Panda", + "Red Racer Snake", + "Red Spitting Cobra", + "Red Squirrel", + "Red Tail Boa (common boa)", + "Red Wolf", + "Red-Bellied Black Snake", + "Red-Billed Quelea Bird", + "Red-Eared Slider", + "Red-Eyed Tree Frog", + "Red-Footed Tortoise", + "Red-handed Tamarin", + "Red-Headed Vulture", + "Red-Lipped Batfish", + "Red-Shouldered Hawk", + "Red-winged blackbird", + "Redback Spider", + "Redbone Coonhound", + "Redtail Catfish", + "Reef Shark", + "Reindeer", + "Repenomamus", + "Reticulated python", + "Rhino Viper", + "Rhinoceros", + "Rhombic Egg-Eater Snake", + "Ribbon Eel", + "Ribbon Snake", + "Ring-billed Gull", + "Ringed Kingfisher", + "Rinkhals Snake", + "River Otter", + "River Turtle", + "Robin", + "Rock Crab", + "Rock Hyrax", + "Rock Python", + "Rockfish", + "Rockhopper Penguin", + "Rodents", + "Roe Deer", + "Rooster", + "Rose-breasted Grosbeak", + "Roseate Spoonbill", + "Rosy Boa", + "Rottsky", + "Rottweiler", + "Rough Green Snake", + "Royal Penguin", + "Rubber Boa", + "Ruby-Throated Hummingbird", + "Ruddy Turnstone", + "Russel\u2019s Viper", + "Russell Terrier", + "Russian Bear Dog", + "Russian Blue", + "Russian Tortoise", + "Saanen Goat", + "Saarloos Wolfdog", + "Saber-Toothed Tiger", + "Sable", + "Sable Black German Shepherd", + "Sable Ferret", + "Saiga", + "Saint Berdoodle", + "Saint Bernard", + "Saint Shepherd", + "Salamander", + "Salmon", + "Salmon Shark", + "Saluki", + "Sambar", + "Samoyed", + "San Francisco Garter Snake", + "Sand Crab", + "Sand Lizard", + "Sand Tiger Shark", + "Sand Viper", + "Sandhill Crane", + "Saola", + "Sardines", + "Satanic leaf-tailed gecko", + "Sauropoda", + "Savanna Goat", + "Savannah Sparrow", + "Savu Python", + "Saw-scaled viper", + "Sawfish", + "Scarab Beetle", + "Scarlet Kingsnake", + "Scarlet Macaw", + "Schipperke", + "Schneagle", + "Schnoodle", + "Scimitar-horned Oryx", + "Scorpion", + "Scorpion Fish", + "Scottish Terrier", + "Scrotum Frog", + "Sculpin", + "Sea Anemone", + "Sea Dragon", + "Sea Eagle", + "Sea Lion", + "Sea Otter", + "Sea Roach", + "Sea Slug", + "Sea Snake", + "Sea Squirt", + "Sea Turtle", + "Sea Urchin", + "Seagull", + "Seahorse", + "Seal", + "Sealyham Terrier", + "Sei Whale", + "Senegal Parrot", + "Serval", + "Shark", + "Sharp-Shinned Hawk", + "Sharp-Tailed Snake", + "Sheep", + "Sheepadoodle", + "Shepadoodle", + "Shepkita", + "Shepweiler", + "Shiba Inu", + "Shih Poo", + "Shih Tzu", + "Shoebill Stork", + "Shollie", + "Short-Faced Bear", + "Shortfin Mako Shark", + "Shrew", + "Shrimp", + "Siamese", + "Siberian", + "Siberian Husky", + "Siberian Ibex", + "Siberian Retriever", + "Siberian Tiger", + "Siberpoo", + "Sidewinder", + "Silkie Chicken", + "Silky Shark", + "Silky Terrier", + "Silver Dollar", + "Silver Labrador", + "Sinosauropteryx", + "Sixgill shark", + "Skate Fish", + "Skink Lizard", + "Skipjack Tuna", + "Skunk", + "Skye Terrier", + "Sleeper Shark", + "Sloth", + "Slow Worm", + "Slug", + "Smokybrown Cockroach", + "Smooth Fox Terrier", + "Smooth Green Snake", + "Smooth Snake", + "Snail", + "Snake", + "Snapping Turtle", + "Snook Fish", + "Snorkie", + "Snouted Cobra", + "Snow Crab", + "Snow Leopard", + "Snowberry Clearwing Moth", + "Snowshoe", + "Snowshoe Hare", + "Snowy Owl", + "Sockeye Salmon", + "Somali", + "Song Sparrow", + "Song Thrush", + "South China Tiger", + "Southern Black Racer", + "Southern Hognose Snake", + "Southern Pacific Rattlesnake", + "Spadefoot Toad", + "Spanador", + "Spanish Goat", + "Spanish Mastiff", + "Sparrow", + "Sparrowhawk", + "Speckled Kingsnake", + "Spectacled Bear", + "Sperm Whale", + "Sphynx Traits: What to Know Before You Buy", + "Spider", + "Spider Ball Python", + "Spider Monkey", + "Spider Wasp", + "Spider-Tailed Horned Viper", + "Spinner Shark", + "Spinone Italiano", + "Spinosaurus", + "Spiny bush viper", + "Spiny Dogfish", + "Spiny Hill Turtle", + "Spitting Cobra", + "Spixs Macaw", + "Sponge", + "Spotted Gar", + "Spotted Lanternfly", + "Spotted python", + "Springador", + "Springbok", + "Springerdoodle", + "Squash Beetle", + "Squid", + "Squirrel", + "Squirrel Monkey", + "Squirrelfish", + "Sri Lankan Elephant", + "Stabyhoun", + "Staffordshire Bull Terrier", + "Stag Beetle", + "Standard Schnauzer", + "Star-nosed mole", + "Starfish", + "Stargazer Fish", + "Steelhead Salmon", + "Steller\u2019s Sea Cow", + "Stick Insect", + "Stiletto Snake", + "Stingray", + "Stoat", + "Stone Crab", + "Stork", + "Strawberry Hermit Crab", + "Striped Hyena", + "Striped Rocket Frog", + "Sturgeon", + "Styracosaurus", + "Suchomimus", + "Sucker Fish", + "Sugar Glider", + "Sulcata Tortoise", + "Sumatran Elephant", + "Sumatran Orang-utan", + "Sumatran Rhinoceros", + "Sumatran Tiger", + "Sun Bear", + "Sunbeam Snake", + "Surgeonfish", + "Swai Fish", + "Swan", + "Swedish Vallhund", + "Syrian Hamster", + "Taco Terrier", + "Taipan", + "Takin", + "Tamaskan", + "Tang", + "Tapanuli Orang-utan", + "Tapir", + "Tarantula Hawk", + "Tarbosaurus", + "Tarpon", + "Tarsier", + "Tasmanian Devil", + "Tasmanian Tiger", + "Tawny Owl", + "Teddy Bear Hamster", + "Teddy Roosevelt Terrier", + "Telescope Fish", + "Tennessee Walking Horse", + "Tentacled Snake", + "Tenterfield Terrier", + "Termite", + "Terrier", + "Terror Bird", + "Tetra", + "Texas Blind Snake", + "Texas Coral Snake", + "Texas Garter Snake", + "Texas Heeler", + "Texas Indigo Snake", + "Texas Night Snake", + "Texas Rat Snake", + "Texas Spiny Lizard", + "Thai Ridgeback", + "Thorny Devil", + "Thresher Shark", + "Thrush", + "Thylacoleo", + "Tibetan Fox", + "Tibetan Mastiff", + "Tibetan Spaniel", + "Tibetan Terrier", + "Tick", + "Tiffany", + "Tiger", + "Tiger Beetle", + "Tiger Moth", + "Tiger Rattlesnake", + "Tiger Salamander", + "Tiger Shark", + "Timber Rattlesnake (Canebrake Rattlesnake)", + "Timor python", + "Tire Track Eel", + "Titanoboa", + "Toadfish", + "Tomato Hornworm", + "Torkie", + "Tortoise", + "Toucan", + "Toy Fox Terrier", + "Toy Poodle", + "Transylvanian Hound", + "Tree Frog", + "Tree Kangaroo", + "Tree Snake", + "Tree swallow", + "Tree Viper (Bamboo Viper)", + "Treecreeper", + "Treeing Tennessee Brindle", + "Treeing Walker Coonhound", + "Troodon", + "Tropicbird", + "Trout", + "Tsetse Fly", + "Tuatara", + "Tufted Titmouse", + "Tuna", + "Turkey", + "Turkish Angora", + "Turtles", + "Twig Snake", + "Tyrannosaurus Rex", + "Uakari", + "Uguisu", + "Uinta Ground Squirrel", + "Uintatherium", + "Umbrellabird", + "Unau (Linnaeus\u2019s Two-Toed Sloth)", + "Ural owl", + "Urutu Snake", + "Utonagan", + "Vampire Bat", + "Vampire Crab ", + "Vampire Squid", + "Vaquita", + "Velociraptor", + "Venus Flytrap", + "Vermilion Flycatcher", + "Vervet Monkey", + "Vicu\u00f1a", + "Vine Snake", + "Vinegaroon", + "Viper", + "Viper Boa", + "Viper shark (dogfish)", + "Viperfish", + "Virgin Islands Dwarf Gecko", + "Vizsla", + "Volpino Italiano", + "Vulture", + "Wahoo Fish", + "Waimanu", + "Walking Catfish", + "Wallaby", + "Walleye Fish", + "Walrus", + "Wandering Albatross", + "Warthog", + "Wasp", + "Water Buffalo", + "Water Dragon", + "Water Vole", + "Wax Moth", + "Weasel", + "Weaver Bird", + "Weimaraner", + "Weimardoodle", + "Wels Catfish", + "Welsh Corgi", + "Welsh Terrier", + "West Highland Terrier", + "Western Blind Snake", + "Western Diamondback Rattlesnake", + "Western Gorilla", + "Western Green Mamba", + "Western Hognose Snake", + "Western Lowland Gorilla", + "Western Rat Snake", + "Westiepoo", + "Whale Shark", + "Wheaten Terrier", + "Whimbrel", + "Whinchat", + "Whippet", + "Whiptail Lizard", + "White Butterfly", + "White Ferret / Albino Ferrets", + "White Rhinoceros", + "White Shark", + "White Tiger", + "White-Eyed Vireo", + "White-Faced Capuchin", + "White-tail deer", + "White-Tailed Eagle", + "Whiting", + "Whoodle", + "Whooping Crane", + "Wild Boar", + "Wildebeest", + "Willow Warbler", + "Winter Moth", + "Wire Fox Terrier", + "Wirehaired Pointing Griffon", + "Wolf", + "Wolf Eel", + "Wolf Snake", + "Wolf Spider", + "Wolffish", + "Wolverine", + "Woma python", + "Wombat", + "Wood Bison", + "Wood Frog", + "Wood Tick", + "Wood Turtle", + "Woodlouse", + "Woodlouse Spider", + "Woodpecker", + "Woodrat", + "Woolly Mammoth", + "Woolly Monkey", + "Woolly Rhinoceros", + "Worm", + "Worm Snake", + "Wrasse", + "Writing Spider", + "Wrought Iron Butterflyfish", + "Wyoming Toad", + "X-Ray Tetra", + "Xerus", + "Xoloitzcuintli", + "Yak", + "Yakutian Laika", + "Yarara", + "Yellow Anaconda", + "Yellow Cobra", + "Yellow Sac Spider", + "Yellow Spotted Lizard", + "Yellow Tang", + "Yellow-Bellied Sea Snake", + "Yellow-Eyed Penguin", + "Yellowfin Tuna", + "Yeti Crab", + "Yoranian", + "Yorkie Bichon", + "Yorkie-poo", + "Yorkshire Terrier", + "Zebra", + "Zebra Finch", + "Zebra Mussels", + "Zebra Pleco", + "Zebra Shark", + "Zebra Snake", + "Zebra Spitting Cobra", + "Zebu", + "Zonkey", + "Zorse", + "Zuchon" + ], + "gender": [ + "girl", + "boy", + "female", + "male", + "non-binary" + ], + "gender-ext": [ + "girl", + "boy", + "female", + "male", + "agender", + "androgyne", + "androgynous", + "bigender", + "cis", + "cisgender", + "cis female", + "cis male", + "cis man", + "cis woman", + "cisgender female", + "cisgender male", + "cisgender man", + "cisgender woman", + "female to male", + "ftm", + "gender fluid", + "gender nonconforming", + "gender questioning", + "gender variant", + "genderqueer", + "intersex", + "male to female", + "mtf", + "neither", + "neutrois", + "non-binary", + "other", + "pangender", + "trans", + "trans female", + "trans male", + "trans man", + "trans person", + "trans woman", + "transfeminine", + "transgender", + "transgender female", + "transgender male", + "transgender man", + "transgender person", + "transgender woman", + "transmasculine", + "transsexual", + "transsexual female", + "transsexual male", + "transsexual man", + "transsexual person", + "transsexual woman", + "two-spirit" + ], + "movement": [ + "afrofuturism", + "ascii art", + "abstract art", + "art brut", + "abstract expressionism", + "abstract illusionism", + "academic art", + "action painting", + "aestheticism", + "altermodern", + "american barbizon school", + "american impressionism", + "american realism", + "american scene painting", + "analytical art", + "antipodeans", + "arabesque", + "arbeitsrat f\u00fcr kunst", + "art & language", + "art deco", + "art informel", + "art nouveau", + "art photography", + "arte povera", + "arts and crafts movement", + "ashcan school", + "assemblage", + "australian tonalism", + "les automatistes", + "auto-destructive art", + "barbizon school", + "baroque", + "bauhaus", + "berlin secession", + "black arts movement", + "bengal school of art", + "brutalism", + "classical realism", + "cloisonnism", + "cobra", + "color field", + "context art", + "computer art", + "concrete art", + "conceptual art", + "constructivism", + "crystal cubism", + "cubo-futurism", + "cubism", + "cynical realism", + "dada", + "dansaekhwa", + "danube school", + "dau-al-set", + "de stijl (also known as neoplasticism)", + "deconstructivism", + "digital art", + "ecological art", + "environmental art", + "modern european ink painting", + "excessivism", + "expressionism", + "fantastic realism", + "fauvism", + "feminist art", + "figurative art", + "figuration libre", + "fine art", + "folk art", + "fluxus", + "funk art", + "futurism", + "geometric abstract art", + "glitch art", + "graffiti/street art", + "gutai group", + "gothic art", + "happening", + "harlem renaissance", + "heidelberg school", + "hudson river school", + "hurufiyya", + "hypermodernism", + "hyperrealism", + "impressionism", + "incoherents", + "interactive art", + "institutional critique", + "international gothic", + "international typographic style", + "kinetic art", + "kinetic pointillism", + "kitsch movement", + "land art", + "les nabis", + "letterism", + "light and space", + "lowbrow", + "lyco art", + "lyrical abstraction", + "magic realism", + "mail art", + "mannerism", + "massurrealism", + "maximalism", + "metaphysical painting", + "mingei", + "minimalism", + "modernism", + "modular constructivism", + "naive art", + "neoclassicism", + "neo-dada", + "neo-expressionism", + "neo-fauvism", + "neo-figurative", + "neogeo (art)", + "neoism", + "neo-primitivism", + "neo-romanticism", + "net art", + "new objectivity", + "new sculpture", + "northwest school", + "nuclear art", + "objective abstraction", + "op art", + "orphism", + "photorealism", + "panfuturism", + "paris school", + "pixel art", + "plasticien", + "plein air", + "pointillism", + "pop art", + "post-impressionism", + "postminimalism", + "precisionism", + "pre-raphaelitism", + "primitivism", + "private press", + "process art", + "psychedelic art", + "purism", + "qajar art", + "quito school", + "rasquache", + "rayonism", + "realism", + "regionalism", + "remodernism", + "renaissance", + "retrofuturism", + "rococo", + "romanesque", + "romanticism", + "samikshavad", + "serial art", + "shin hanga", + "shock art", + "s\u014dsaku hanga", + "socialist realism", + "sots art", + "space art", + "street art", + "stuckism", + "sumatraism", + "superflat", + "suprematism", + "surrealism", + "symbolism", + "synchromism", + "synthetism", + "tachisme (aka informel)", + "temporary art", + "toyism", + "transgressive art", + "tonalism", + "ukiyo-e", + "underground comix", + "unilalianism", + "vancouver school", + "vanitas", + "verdadism", + "video art", + "visual art", + "viennese actionism", + "vorticism" + ], + "body-heavy": [ + "ample", + "baggy", + "baggy-figured", + "beer-bellied", + "big-bellied", + "big-boned", + "bloated", + "blubbery", + "broad", + "bulging", + "bulky", + "chubby", + "chunky", + "corpulent", + "cumbersome", + "curvaceous", + "dimpled", + "doughy", + "dumpy", + "elephantine", + "fat", + "fatso", + "flabby", + "fleshy", + "full-figured", + "generously padded", + "generously proportioned", + "gross", + "heavily built", + "heavy", + "heavy-set", + "hefty", + "Humpty Dumptyish", + "large", + "large-boned", + "matronly", + "obese", + "overheavy", + "overweight", + "paunchy", + "plump", + "podgy", + "ponderous", + "porky", + "portly", + "potbellied", + "pudgy", + "puffy", + "roly-poly", + "sloppy", + "squat", + "stocky", + "stout", + "sumoesque", + "swollen", + "thick", + "thickset", + "tubby", + "ungainly", + "unwieldly", + "weighty", + "well-fed", + "well-padded", + "well-rounded", + "wide" + ], + "body-light": [ + "aerodynamic", + "angular", + "beanstalk", + "bony", + "delicate", + "fine-boned", + "gangly", + "lank", + "lanky", + "lean", + "lissome", + "lithe", + "meager of body", + "narrow", + "rawboned", + "scraggy", + "scrawny", + "sinuous", + "skeletal", + "skin-and-bone", + "skinny", + "sleek", + "slender", + "slight", + "slightly-built", + "slim", + "small-boned", + "spare", + "spindly", + "spiny", + "streamlined", + "stringy", + "svelte", + "sylphlike", + "thin", + "trim", + "underdeveloped", + "underweight", + "waif-like", + "willowy", + "wiry", + "wispy" + ], + "body-fit": [ + "active", + "athletic", + "beefy", + "brawny", + "built", + "bullish", + "bullnecked", + "burly", + "defined", + "dense", + "developed", + "durable", + "firm", + "fit", + "hale", + "hard", + "hardy", + "healthy", + "Herculean", + "hulking", + "hunky", + "husky", + "in shape", + "limber", + "lusty", + "meaty", + "mesomorphic", + "mighty", + "muscle-bound", + "muscular", + "nimble", + "pliant", + "powerful", + "powerfully built", + "resilient", + "ripped", + "robust", + "rugged", + "shipshape", + "shredded", + "sinewy", + "solid", + "sound", + "stalwart [dated]", + "strapping", + "strong", + "sturdy", + "substantial", + "supple", + "taut", + "toned", + "tough", + "vigorous", + "well-built" + ], + "body-poor": [ + "ailing", + "anorexic", + "atrophied", + "battered", + "beat-up", + "brittle", + "broken", + "bruised", + "burnt", + "cadaverous", + "careworn", + "crippled", + "crooked", + "crumbling", + "decomposed", + "decrepit", + "deformed", + "degenerating", + "deteriorating", + "dilapidated", + "emaciated", + "etiolated", + "feeble", + "feverish", + "flimsy", + "fragile", + "frail", + "frangible", + "gaunt", + "haggard", + "half-starved", + "infirm", + "insubstantial", + "lethargic", + "maimed", + "malnourished", + "mangled", + "neglected", + "out-of-shape", + "puny", + "ramshackle", + "rickety", + "ropy", + "rotting", + "runty", + "scalded", + "sickly", + "starved", + "underfed", + "undernourished", + "vulnerable", + "wasted", + "weak", + "weedy", + "withered", + "worn-out" + ], + "body-shape": [ + "barrel-chested", + "barrelesque", + "blocky", + "boobylicious", + "bootylicious", + "broad-shouldered", + "bulbous", + "cylindrical", + "ectomorphic", + "endomorphic", + "flat", + "hourglass-shaped", + "inverted-triangular", + "limp", + "mesomorphic", + "pear-shaped", + "pumpkinesque", + "pyramidal", + "rectangular", + "rotund", + "round", + "serpentine", + "shapeless", + "shapely", + "small-waisted", + "spherical", + "spidery", + "square", + "thick-waisted", + "top-heavy", + "triangular", + "wasp-waisted" + ], + "body-short": [ + "belly-button-high", + "bijou", + "compact", + "dainty", + "diminutive", + "dwarfish", + "eensy", + "elfin", + "gnomish", + "itsy-bitsy", + "itty-bitty", + "knee-high", + "knee-high to a wastebasket", + "knee-high to a pygmy", + "Lilliputian", + "little", + "low-slung", + "midget", + "mini", + "miniature", + "packed-down", + "peewee", + "petite", + "pint-sized", + "pocket-sized", + "puny", + "pygmy", + "runty", + "sawed-off", + "shoulder-high", + "shrimpy", + "shriveled", + "shrunken", + "small", + "small in stature", + "small-scale", + "stubby", + "stunted", + "teeny", + "teeny-weeny", + "tiny", + "undersized", + "vertically challenged", + "waist-high", + "wee" + ], + "body-tall": [ + "big", + "biggish", + "colossal", + "gangling", + "gargantuan", + "giant", + "gigantic", + "ginormous", + "Goliath", + "huge", + "humongous", + "immense", + "jumbo", + "king-sized", + "large", + "leggy", + "lofty", + "longish", + "long-shanked", + "mammoth", + "massive", + "mountain-high", + "of great stature", + "rangy", + "redwood-high", + "sizable", + "sky-high", + "skyscraperesque", + "statuesque", + "stripper-pole-ific", + "towering", + "whopping" + ], + "quantity": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "100", + "300", + "500", + "1000", + "Millions", + "Hundreds", + "Thousands", + "Way too much" + ], + "scenario-desc": [ + "A calm and peaceful place with green grasses, a blue sky and lots of beauty everywhere", + "A city abandoned for years", + "A cramped space with a lot of rubble and little space to move around", + "A dark and evil land", + "A dry place like an empty desert", + "A frozen place", + "A futuristic place full of cables with lots of neon lights and led lighting", + "A Hawaiian-influenced environment and some surfboards", + "A hurricane-ravaged environment with lots of broken glass and scattered items", + "A land full of bones and skeletons of people who once fought there", + "A land full of slime moss stagnant water and insects", + "A land full of war trenches with lots of wreckage and remnants of war", + "A land where nothing makes sense and everything is out of place", + "A land with many riches and treasures", + "A maintenance environment with black and yellow stripes signaling construction", + "A mountainous location full of icy boulders and snow", + "A mountainous location full of jagged rocks and boulders", + "A musical concert environment", + "A place battered by time and natural disasters", + "A place flooded by the sea and with beach sand", + "A place forgotten by the world", + "A place full of gardens suspended by ropes and chains and butterflies with little details in everything", + "A place full of my ancestral past and several vessels with trapped souls", + "A place full of sand scattered with dry branches and very arid", + "A place infested with bugs and worms with decaying woods", + "A place located in the year 1900 with influence of Baroque and Neo-Gothic architecture", + "A place off planet earth in a galaxy far far away", + "A place taken by a flood with everyday objects floating and cars submerged in the water", + "A place taken by nature full of mosses and vegetation", + "A place taken over by mushrooms and tree roots", + "A place that was once inhabited by beings from another world", + "A place with a lot of glass details in silver and gold", + "A place with a morbid look that resembles a funeral a little foggy", + "A place with a very vast nature with big trees and lots of vegetation", + "A place with everything made of wood with a little old paint peeling off and lots of ingrown tribal details", + "A place with lots of leaves on the ground and autumn colors", + "A place with oil stains on the floor with remains of bodywork and screws and a lot of rusty things", + "A private club with a water slide and beach chairs by the pool where every table has nice drinks", + "A scene all frozen and full of snow with stalactites", + "A space environment with intergalactic and cosmic details", + "A space station with many technological resources and many drawers", + "A sunny place with a holiday and childhood vibe", + "A tropical and latin place with lots of green and beach", + "A tropical environment with a party atmosphere and a lot of wealth", + "A valley forgotten by time", + "A vast archaeological site located in the south region of Italy that was buried by meters of ash and pumice after a catastrophic eruption", + "A venue full of marble and gold detailing with reflective flooring", + "A very clean and well organized contemporary place", + "A very dirty and littered place.", + "A very humid place full of puddles and leaks", + "A very trendy and frequented place with footprints everywhere and wear on the floor", + "An environment that has just been waxed and carefully cleaned where everything is shiny and organized", + "An environment with a very vast and very humid fauna", + "An environment with an oriental look and solid design ornaments", + "An environment with Aztec tendencies and many sculptures with masks on the wall", + "An environment with glass windows and chandelier lighting", + "An environment with lights like a disco and dance floor", + "An environment with rustic furniture and a rustic country farm look", + "An environment with tombstones and a similar look to a cemetery with some bats and cockroaches", + "An environment with wabi-sabi trends and furniture made by famous designers", + "An old place full of cracks, misplaced things and broken pieces", + "An ornate venue with ornate floors and walls covered in tapestry" + ], + "games": [ + "8-bit JRPG", + "A Short Hike", + "ABZ\u00db", + "Age of Empires", + "Akumaj\u014d Dracula X: Gekka no Yas\u014dkyoku", + "Albion", + "Alice: Madness Returns", + "Alone in the Dark", + "Angry Birds", + "Animal Crossing", + "Another World", + "Baldur's Gate II", + "Baldurs Gate", + "Bastion", + "Baten Kaitosu: Owaranai Tsubasa to Ushinawareta Umi", + "Battle Axe", + "Bio Hazard", + "BioShock 2", + "BioShock Infinite", + "BioShock", + "Blizzard", + "Borderlands 2", + "Botanicula", + "Braid", + "Brothers: A Tale of Two Sons", + "Buraddob\u014dn", + "Cadillacs and Dinosaurs", + "Candy Crush", + "Carmen Sandiego", + "Castle Wolfenstein", + "Castlevania", + "Child of Light", + "Chrono Cross", + "Chrono Trigger", + "Civilization V", + "Command & Conquer Red Alert", + "Commander Keen", + "Crusaider No Regret", + "Cuphead", + "D\u0101ku S\u014dru Sur\u012b", + "D\u0101ku Souru", + "Dark Souls", + "Darkest Dungeon", + "Darkest Dungeon", + "Day of the Tentacle", + "Desert Strike", + "Diablo 2", + "Diablo", + "Disco Elysium", + "Discworld", + "Dishonored 2", + "Dishonored", + "Divinity Original Sin", + "Don\u2019t Starve", + "Doom", + "Doragonzu Kuraun", + "Dota 2", + "Dune", + "Dust: An Elysian Tail", + "Elden Ring", + "Escape from Monkey Island", + "Factorio", + "Fall out", + "FEZ", + "Final Fantasy IX", + "Final Fantasy", + "Firewatch", + "Full Throttle", + "Flower", + "Full Throttle", + "Game Boy Advance", + "Game Boy Color", + "Game Boy", + "God of War III", + "God of War", + "Grand Theft Auto III", + "Grand Theft Auto V", + "Gravity Daze", + "Grim dawn", + "Grim Fandango", + "GRIS", + "GTA 1", + "GTA 2", + "GTA V", + "Hades", + "Half-Life", + "Harvest Moon", + "Hitokui no Oowashi Trico", + "Hollow Knight", + "Hotline Miami", + "Hyper Light Drifter", + "I Have No Mouth And I Must Scream", + "Iko", + "Indiana Jones and the Fate of Atlantis", + "Inside", + "Jet Set Radio", + "Journey", + "JRPG", + "Killer7", + "League of Legends", + "Legend of Mana", + "Leisure Suit Larry", + "Lemmings", + "Life is Strange", + "Limbo", + "Little Big Adventure", + "Loom", + "LucasArts adventure games", + "LucasArts", + "Machinarium", + "Magic Carpet", + "Maniac Mansion", + "Mario Galaxy", + "Mario Odissey", + "Marvel vs. Capcom", + "MDK", + "Metal Slug", + "Metroid Prime", + "Minecraft", + "Mirror\u2019s Edge", + "Monster Rancher", + "Monument Valley", + "Mortal Kombat", + "Myst", + "Neverwinter Nights", + "Ni no Kuni: Shiroki Seihai no Jo\u014d", + "NieR: Automata", + "Nintendo DS", + "Nintendo N64", + "Nintendo", + "Oboromuramasa", + "Odin Sphere", + "\u014ckami", + "Ori and the Blind Forest", + "Ori and the Will of the Wisps", + "Overwatch", + "Paper Mario RPG", + "Path of Exile", + "Persona 5", + "Plants vs zombies", + "Playstation 1", + "Playstation 2", + "Pokemon", + "Portal 2", + "Portal", + "Prince of Persia", + "Priston Tale", + "PS One", + "Quake", + "Ragnarok", + "Raptor Call of the Shadows", + "Rayman Legends", + "Rayman Origins", + "Rayman", + "Red Dead Redemption 2", + "Red Dead Redemption", + "Redneck Rampage", + "Resident Evil", + "Retro RPG", + "Return of the Obra Dinn", + "Rez", + "Rimworld", + "Rockstar Games", + "Roler Coaster Tycoon", + "Runescape", + "Sam & Max Hit the Road", + "Samorost", + "ScummVM", + "Seiken Densetsu: Legend of Mana", + "Shadowrun", + "Sid Meier\u2019s Civilization", + "Silent Hill 2", + "Simant", + "Simcity 2000", + "Simcity 3000", + "Simon the Sorcerer", + "Skyrim", + "Sony", + "Square Enix", + "Star wars KOTOR", + "Star wars yoda stories", + "Starcraft", + "Stardew Valley", + "Starfox", + "Street Fighter", + "S\u016bp\u0101 Mario Gyarakushi", + "Super Mario Bros 3", + "Super Mario RPG", + "Super Mario World 2: Yoshi\u2019s Island", + "Super Mario World", + "Super Metroid", + "Super Nintendo", + "Superfrog", + "Syndicate", + "Team Fortress 2", + "Tearaway", + "Tetris", + "The Chaos Engine", + "The Dig", + "The Elder Scrolls V: Skyrim", + "The Elder Scrolls", + "The Incredible Machine", + "The Journey Down", + "The Last of Us", + "The Legend of Zelda: Twilight Princess", + "The Legend of Zelda", + "The Lord of the Rings", + "The Secret of Monkey Island", + "The Unfinished Swan", + "The Witcher 3: Wild Hunt", + "The Witcher", + "The Witness", + "The Wolf Among Us - A Telltale Games Series", + "The Wolf Among Us: Episode 1 - Faith", + "Theme Park", + "Thief", + "Tibia", + "Tomb Raider", + "Tony Hawk\u2019s Pro Skater 2", + "Transistor", + "Transport Tycoon", + "Trine 2", + "Trine", + "Tropico 5", + "Tyrian", + "Ultima Online", + "Uncharted 3: Drake\u2019s Deception", + "Uncharted 4: A Thief\u2019s End", + "Undertale", + "Valiant Hearts: The Great War", + "Wanda to Kyoz\u014d", + "Warcraft", + "Wing Commander", + "World of Warcraft", + "X-Com UFO Defense", + "X-men", + "Xenoblade", + "Yoshi\u2019s Island", + "Zak McKracken and the Alien Mindbenders", + "Zelda no Densetsu: Kaze no Takuto", + "Zeruda no densetsu: Buresu obu za wairudo", + "Zeruda no densetsu: Sukaiw\u014ddo s\u014ddo" + ], + "foods": [ + "Abalone", + "A\u00e7a\u00ed berries", + "A\u00e7a\u00ed juice", + "Acorn squash", + "Adzuki bean paste", + "Adzuki beans", + "Aged Japanese kurozu", + "Albacore tuna", + "Alcohol", + "Ale", + "Alfalfa sprouts", + "Algae", + "Almond milk", + "Almond paste", + "Almonds", + "Ancho chili powder", + "Anchovies", + "Anchovy paste", + "Angus beef", + "Apple juice", + "Apples", + "Apricots, Japanese", + "Apricots", + "Arborio rice", + "Arctic char", + "Artichoke, Jerusalem", + "Artichokes", + "Arugula", + "Asian greens", + "Asparagus, Chinese", + "Asparagus", + "Autumn crocus", + "Avocado oil", + "Avocados", + "Bacon", + "Balsamic vinegar", + "Banana Split", + "Bananas", + "Barbecued meat", + "Basil", + "Bean curd", + "Beef", + "Beer", + "Beets", + "Bell peppers", + "Bitter almond oil", + "Bitter cucumber", + "Bitter melon", + "Black beans", + "Black cumin", + "Black currants", + "Black or purple rice", + "Black pepper", + "Black tea", + "Blackberries", + "Blueberries", + "Boiled Egg", + "Bok choy", + "Boysenberries", + "Brazil nuts", + "Bread", + "Broccoli sprouts", + "Broccoli", + "Brown mustard", + "Brown rice syrup", + "Brown rice", + "Brussels sprouts", + "Buckwheat", + "Butter", + "Butternut squash", + "Cabbage", + "Canola oil", + "Cantaloupe", + "Carrots", + "Cashews", + "Cauliflower", + "Caviar", + "Celeriac", + "Celery seed", + "Celery", + "Chamomile", + "Cheese", + "Cheese", + "Cherries", + "Chicken", + "Chickpeas", + "Chilli peppers", + "Chives", + "Chocolate", + "Cilantro", + "Cinnamon", + "Clams", + "Coconut oil", + "Coconut", + "Coffee", + "Collard greens", + "Corn oil", + "Corn", + "Crab", + "Cranberries", + "Cream", + "Cucumbers", + "Cumin", + "Curcumin", + "Currants", + "Daidzein", + "Dal", + "Dill", + "Dried herring", + "Dried mackerel", + "Dry beans", + "Edamame", + "Eggs", + "Escargot", + "Fennel seed", + "Fennel", + "Fermented bean paste", + "Fermented milk", + "Flaxseed oil", + "Flaxseed", + "Fried potatoes", + "Garbanzo beans", + "Garden cress", + "Garlic", + "Genistein", + "Ghee", + "Ginger", + "Grape seed oil", + "Grapefruit", + "Grapes", + "Gravy", + "Green beans", + "Green onions", + "Green papaya", + "Green peas", + "Green tea", + "Greens", + "Guacamole", + "Halibut", + "Ham", + "Hamburger", + "Herring", + "Holy basil", + "Honey", + "Honeydew melon", + "Horseradish", + "Hot peppers", + "Hotdog", + "Hummus", + "Indian mustard", + "Kale", + "Kefir", + "Kelp", + "Kidney beans", + "King mackerel", + "Kiwifruit", + "Kohlrabi", + "Kumquats", + "Lake trout", + "Lamb", + "Lard", + "Lavender", + "Leeks", + "Lemons", + "Lentils", + "Lettuce", + "Lima beans", + "Limes", + "Lingonberries", + "Liquor", + "Liver", + "Lobster", + "Loganberries", + "Long pepper", + "Low-fat yogurt", + "Macadamia nut oil", + "Macadamia nuts", + "Mackerel", + "Maitake mushrooms", + "Mangoes", + "Mangosteen", + "Margarine", + "Marionberrries", + "Mat\u00e9", + "Mayonnaise", + "Melons", + "Melted Cheese", + "Mexican oregano", + "Milk", + "Milkshake", + "Mint tea", + "Mint", + "Mung beans", + "Mushrooms", + "Muskmelon", + "Mussels", + "Mustard greens", + "Mustard oil", + "Mustard", + "Mutton", + "Navy beans", + "Nutella", + "Oatmeal", + "Oats", + "Octopus", + "Ohyo", + "Oil", + "Olive oil", + "Olives", + "Omelet", + "Onions", + "Oranges", + "Oregano", + "Oysters", + "Papaya seeds", + "Papaya", + "Paprika", + "Parsley", + "Parsnips", + "Passion fruit", + "P\u00e2t\u00e9s", + "Paw paw", + "Peaches", + "Peanut Butter and Jelly", + "Peanut Butter", + "Peanut oil", + "Peanut", + "Peanuts", + "Pears", + "Peas", + "Pecans", + "Peppermint", + "Persipan", + "Pesto sauce", + "Pickled papaya", + "Pickled watermel. rind", + "Pickles", + "Pineapple", + "Pinto beans", + "Pistachio nuts", + "Pizza", + "Plantago", + "Plantains", + "Plums", + "Pomegranate juice", + "Pomegranates", + "Popcorn", + "Pork", + "Portobello mushrooms", + "Potatoes", + "Prunes", + "Pumpkin seeds", + "Pumpkins", + "Radicchio", + "Radish", + "Raisins", + "Rapeseed oil", + "Rapini", + "Raspberries", + "Red bean paste", + "Red beans", + "Red cabbage", + "Red currants", + "Red onions", + "Red pepper flakes", + "Red pepper paste", + "Red rice", + "Red spinach", + "Red wine vinegar", + "Reishi mushrooms", + "Rhubarb", + "Ribs", + "Rice bran oil", + "Rice bran", + "Rice wine vinegar", + "Rice", + "Risotto", + "Roast beef", + "Roasted almonds", + "Roasted pork", + "Roe", + "Rolled oats", + "Romaine lettuce", + "Rosemary", + "Rutabagas", + "Rye", + "Safflower oil", + "Saffron", + "Sage tea", + "Sage", + "Salmon, wild", + "Salt", + "Sardines", + "Sauerkraut", + "Sausages", + "Scallions", + "Scallops", + "Seaweed", + "Sesame oil", + "Sesame seeds", + "Shallots", + "Shellfish", + "Shiitake mushrooms", + "Shrimp", + "Smoked mackerel", + "Snails", + "Snickers Chocolate Bar", + "Snow peas", + "Soba noodles", + "Soy infant formula", + "Soy milk", + "Soy protein bars", + "Soy protein isolate", + "Soybean curd", + "Soybean oil", + "Soybeans", + "Spaghetti squash", + "Spearmint", + "Spinach", + "Split peas", + "Squash", + "Steak", + "Strawberries", + "String beans", + "Subtropical ginger", + "Sugar beets", + "Sugar snap peas", + "Sugar", + "Summer squash", + "Sunflower oil", + "Sunflower seeds", + "Sweet peas", + "Sweet potatoes", + "Tabasco sauce", + "Tacos", + "Tahini", + "Tallow", + "Tangerines", + "Tartary buckwheat", + "Tea", + "Thyme", + "Tofu", + "Tomato paste", + "Tomatoes", + "Tropical ginger", + "Turkey bacon", + "Turkey", + "Turmeric", + "Turnip greens", + "Turnips", + "Veal", + "Vinegar", + "Wakame", + "Walnut oil", + "Walnuts", + "Wasabi", + "Watercress", + "Watermelon seeds", + "Watermelon", + "Well-done meat", + "Wheat bran", + "Wheat germ", + "Wheat grass", + "White beans", + "White bread", + "White button mush.", + "White pepper", + "White tea", + "White vinegar", + "Whole wheat bread", + "Wild ginger", + "Wild rice", + "Wine", + "Winter squash", + "Yams", + "Yerba mat\u00e9", + "Yogurt", + "Zucchini" + ], + "rpg-Item": [ + "A Page of the Bible", + "A Page of the Unholy Book", + "A Small Piece of Wrath", + "Abyss Fall", + "Abyssal Pickaxe", + "Acorn Bomb", + "Adamantium", + "Aegis of Earth", + "Aegis of Flame", + "Aegis of Sea", + "Aegis of Storm", + "Agareth", + "Amulet", + "Ancient Branch", + "Ancient Ent", + "Ancient Fragment of Ruins", + "Ancient Hourglass", + "Ancient Leaf Circlet", + "Ancient Leaf", + "Ancient Token", + "Ancient Tree Bow", + "Ancient Tree Rifle", + "Ancient Tree Staff", + "Ancient Tree Sword", + "Ancient Writings", + "Antimatter", + "Archangel Halo", + "Archangel Token", + "Archangel Wings", + "Archangel", + "Armageddon", + "Armor of Corruption", + "Armor of Darkness", + "Armor of Deep Sea", + "Armor of Flame", + "Armor of Grudge", + "Armor of Poison", + "Arrows", + "Assassin Katars", + "Bag of coins", + "Bag of Corruption", + "Bag of Demise", + "Bag of Despair", + "Bag of Destruction", + "Bag of Explosion", + "Bag of Heaven", + "Bag of Hell", + "Bag of Life", + "Bag of Mighty Strength", + "Bag of Mother Nature", + "Bag of Strength", + "Bag of Universe", + "Bag", + "Bat Wings", + "Bear Fur Cloak", + "Beast Hunter", + "Beast Token", + "Bell of Light", + "Berserker Axe", + "Berserker Mask", + "Big Golem Token", + "Black Pearl", + "Blade of Requiem", + "Blaster", + "Blazing Heart", + "Blazing Soul", + "Blood Cannon Tepes", + "Blood Essence", + "Blood Orb", + "Bloodseeker Plates", + "Bloodsoul Plates", + "Bloodstone Plates", + "Bloodstone", + "Bloodstorm", + "Bloodsword Tepethia", + "Bloody Armor", + "Bloody Fang", + "Bloody Hatred", + "Bloody Helm", + "Bloody Robe", + "Bolts", + "Bone Dragon Token", + "Bone Dragon", + "Bone Necklace", + "Book of fireball", + "Book of Inferno", + "Boots", + "Bow of Corruption", + "Bow of Crimson Flame", + "Bow of Darkness", + "Bow of Deep Sea", + "Bow of Flame", + "Bow of Poison", + "Brave Heart", + "Brooch of Darkness", + "Bullet of Destruction", + "Bullet of Ruin", + "Burning Bone Fragments", + "Cage of Twisted Souls", + "Candy Bag", + "Candy-filled Bag", + "Cape of Corrupt Flame", + "Cape of Deep Abyss", + "Cape of Insatiable Hunger", + "Cape of the Count", + "Cape of the Dead", + "Cauldron", + "Chaos Dagger", + "Chaos Magic Stone", + "Chaos Pickaxe", + "Chaos", + "Charm", + "Chaser", + "Chest of tresures", + "Chrono Chaser", + "Chronos, the Cannon of Time", + "Claws of Beriel", + "Claws of Destruction", + "Cloak of the Fallen Shadows", + "Clown Token", + "Coin of Effort", + "Cold Ring of Death", + "Corrupt Angel Token", + "Corrupt Angel", + "Corrupt Creations", + "Corrupt Crystal Fragment", + "Corrupt Crystal Wings", + "Corrupt Token", + "Corruptor", + "Cosmic Reaper", + "Cosmic Star", + "Count Token", + "Count's Memento", + "Count's Old Cape", + "Count", + "Crab Armor", + "Creation of the Sky and Earth", + "Crescendo of Madness", + "Crimson Cross", + "Crimson Curse", + "Crimson Hatred", + "Crimson Pumpkin Rod", + "Crimson Reaper", + "Crimson Rose", + "Crimson Star", + "Crimson Stone", + "Crossbow of Desolation", + "Crossbow of Requiem", + "Crowbar", + "Crown of Absolute Zero", + "Crown of Cataclysm", + "Crown of Cleansing", + "Crown of Composure", + "Crown of Extreme Anger", + "Crown of Fervor", + "Crown of Great Rage", + "Crown of Rage", + "Crown of Serenity", + "Crown of Transcendance", + "Crystal Golem Token", + "Curse of Greed", + "Cursed Mask", + "Dagger of Night", + "Dagger", + "Dark Crystal", + "Dark Matter", + "Dark Wings", + "Death Fiend", + "Death Scythe", + "Death Visage", + "Deathbringer", + "Deep Armor", + "Deep Bow", + "Deep Helm", + "Deep Rifle", + "Deep Robe", + "Deep Staff", + "Deep Sword", + "Demon Hunter", + "Demon Lord Token", + "Demon Lord", + "Demonic Fist", + "Devil Blaster", + "Devil Chaser", + "Divine Slayer", + "Draconic Skin Rusalka", + "Dragon Armor Magron", + "Dragon Blaster", + "Dragon Bone", + "Dragon Buster", + "Dragon Cannon Belenus", + "Dragon Heart", + "Dragon Mask", + "Dragon Scale", + "Dragon Wings", + "Dragon's Eye", + "Dragon's Helm Agron", + "Dragonbow Aience", + "Dragonic Orb", + "Dragonstaff Irave", + "Dragonsword Lainhart", + "Droplet Orb", + "Druid's Mantle", + "Duke Token", + "Eana, the Holy Cannon", + "Eana, the True Holy Cannon", + "Earthen Plates", + "Emblem of Sacrifice", + "Embrace of Nature", + "Endless Snow", + "Ent Token", + "Essence of Anger", + "Essence of Corruption", + "Essence of Darkness", + "Essence of Earth", + "Essence of Flame", + "Essence of Light", + "Essence of Sea", + "Essence of Storm", + "Eternal Flame", + "Eternal Rose", + "Eternal Winter", + "Ethereal Dagger", + "Everfrost Gauntlet", + "Everfrost Token", + "Everfrost", + "Everfrostbane", + "Eye of the Abyss", + "Eye of the Flame Lord", + "Eye of the Reaper", + "Eye of Wallachia", + "Eyes of the Watcher", + "Fairy Garment", + "Fairy Robe", + "Fairy Wings", + "Fang Necklace", + "Felspike Armor", + "Fiend Chaser", + "Fiend Token", + "Final Omen", + "Flame Cloak", + "Flame Explosion", + "Flame Fairy Stone", + "Flame God Token", + "Flame Nightmare", + "Flame Soul", + "Flame Token", + "Flamereaver", + "Flameshard Armor", + "Forest Armor", + "Forest Helm", + "Forest Robe", + "Fragment of Angel's Feather", + "Fragment of Chaos", + "Fragment of Corrupt Angel's Feather", + "Fragment of Hell", + "Fragment of Oblivion", + "Fragment of Soul", + "Fragment of the Wind", + "Frorist", + "Frost Fairy Wings", + "Frost Herald's Garment", + "Frost Web Brooch", + "Frostbane", + "Frostshard Armor", + "Frostspider Lord Token", + "Frosty Armor", + "Frosty Bow", + "Frosty Helm", + "Frosty Rifle", + "Frosty Robe", + "Frosty Staff", + "Frosty Sword", + "Frozen Cobweb", + "Frozen Crystal", + "Frozen Debris", + "Frozen Heart", + "Frozen Robe", + "Fruit Candy Pouch", + "Fruit-filled Bag", + "Full Potion", + "Gaia Token", + "Gate of Abyss", + "Gatekeeper", + "Ghostly Thread", + "Giant Golem", + "Glacier Guard", + "Glasses", + "God's Page", + "Gown of Life", + "Grail of Eternity", + "Grandine, the Plates of Wraith", + "Grandmaster", + "Green Crystal Golem Token", + "Green Magic Stone", + "Grim Heart", + "Grim Visage", + "Grimoire of Darkness", + "Guardian Angel Token", + "Guardian Angel", + "Guardian of the Skies", + "Guardian Ring", + "Guardian Token", + "Guardian Vest", + "Halo of Judgment", + "Hard Turtle Shell", + "Harmonia, the Sparkle of Life", + "Harmony of Sky and Earth", + "Hatred", + "Heart of Fire", + "Heart of Ifrit", + "Heart of Life", + "Heart of Volcano", + "Heartrender", + "Heartseeker", + "Heaven's Door", + "Heaven's Fist", + "Heirloom of Lazarus", + "Hell Riser", + "Hellflame", + "Hellspike Armor", + "Helm of Battle", + "Helm of Corruption", + "Helm of Darkness", + "Helm of Deep Sea", + "Helm of Everfrost", + "Helm of Flame", + "Helm of Passion", + "Helm of Poison", + "Helm of the Dead", + "Hood of Apocalypse", + "Hood of Apocrypha", + "Hood of Everfrost", + "Hood of Grim Reaper", + "Hood of Mage", + "Hood of Reaper", + "Hood of the Fallen", + "Horn of Deep Sea", + "Horn of Demon God", + "Horn of Demon Lord", + "Horn of Devil", + "Horn of Dragon", + "Horn of God", + "Horn of Lightning God", + "Horns of Destruction", + "Hungry Bat Wings", + "Hydra Poison Tooth", + "Hydra Scale", + "Hydra Token", + "Hydra", + "Hydro Buster", + "Icicle Bow", + "Icicle Storm", + "Ifrit", + "Infected Crab Armor", + "Infected Tentacle", + "Inferno", + "Irbeth, the Sword of Lightning", + "Ispion, the Runed Ring", + "Ivory Cane", + "Jack Pumpkin Helm", + "Jack Pumpkin Hood", + "Jack Pumpkin Token", + "Javelins", + "Jewels", + "Katars", + "Key of Flame", + "Key of Sea", + "Key of Storm", + "King Kong's Claws", + "Last Word", + "Lifestone", + "Lightning God Token", + "Living Dragon Heart", + "Lord of Revolver", + "Lucky Acorn", + "Mad Clown", + "Mad Symbol", + "Mage Lord", + "Magic Stone", + "Magic Sword", + "Magical Horn", + "Magical Token", + "Mana Ancient", + "Mana Heart Frost", + "Mana Heart Large", + "Mana Heart", + "Mana Orb", + "Mark of Lord", + "Mark of Sin", + "Mark of Storm", + "Mask of Blood", + "Mask of Demigod", + "Master", + "Maw of Beriel", + "Maw of Greed", + "Maw of Monster", + "Meat Bag", + "Mithril Armor", + "Mithril Pickaxe", + "Monster Blaster", + "Monster Hunter", + "Nebula Rose", + "Nereid", + "Niflheim", + "Nightmare Rod", + "Nightmare Token", + "Oath of Courage", + "Orb of Oblivion", + "Orb of the Deep Sea", + "Orb", + "Orichalcum", + "Parasitic Staff", + "Parasitic Sword", + "Parchment of Doom", + "Pickaxe", + "Plates of Lightning", + "Plates of Regeneration", + "Plates of Sanguine Fury", + "Potion of Corruption", + "Potion of Healing", + "Potion of Mana", + "Power of Beriel", + "Precious Wind-Protection Clothing", + "Prius Gold Coin", + "Prius Silver Coin", + "Proof of Purification", + "Protection of the Fairies", + "Protector's Will", + "Pumpkin Rod", + "Punisher", + "Pure Crystal Wings", + "Pure Steel", + "Purefrost Gauntlet", + "Purelight Armor", + "Purified Water of Nature", + "Purified Water", + "Radiance of the One", + "Ragnaar", + "Rainbow Crystal Golem Token", + "Rainmaker", + "Raven Bow", + "Raven Rifle", + "Raven Staff", + "Raven Sword", + "Reactive Armor", + "Red Cross", + "Red Crystal Golem Token", + "Red Magic Stone", + "Rejuvenation Potion", + "Rifle of Corruption", + "Rifle of Crimson Flame", + "Rifle of Darkness", + "Rifle of Deep Sea", + "Rifle of Flame", + "Rifle of Poison", + "Ring of Composure", + "Ring of Count", + "Ring of Darkness", + "Ring of Deep Darkness", + "Ring of Desolate Soul", + "Ring of Despair", + "Ring of Destruction", + "Ring of Divine Winds", + "Ring of Eternity", + "Ring of Fate", + "Ring of Fervor", + "Ring of Frozen Soul", + "Ring of Holy Light", + "Ring of Hope", + "Ring of Insanity", + "Ring of Intrusion", + "Ring of Light", + "Ring of Nightmare", + "Ring of Poison", + "Ring of Resonance", + "Ring of Revival", + "Ring of Strike", + "Ring of the Dead", + "Ring of the One", + "Ring of the Reaper", + "Ring of the Sage", + "Ring of the Storm", + "Ring of Time", + "Ring", + "Ripple Snow", + "Robe of Archlich", + "Robe of Corruption", + "Robe of Darkness", + "Robe of Deep Sea", + "Robe of Everfrost", + "Robe of Flame", + "Robe of Poison", + "Robe of Storm", + "Robe of the Mage", + "Robe of the Necromancer", + "Robe of the Reaper", + "Robe of the Sage", + "Ruinbringer", + "Ruler of the Skies", + "Sacred Armor", + "Sacred Helm", + "Sanguis, the Robe of Sacrifice", + "Scale Protector", + "Scarab Bone", + "Scroll Oblivion", + "Sea God Token", + "Sea Jewel", + "Seal Breaking Gemstone", + "Seal of Corruption", + "Seal of Deceiver", + "Sealed Weapon", + "Seed of Malice", + "Shackles of Heaven", + "Shadow Dragon", + "Shell Sword", + "Shining Fragment of Ruins", + "Shroud of Perseverance", + "Silky Bag", + "Silver Fang", + "Silverfang Vest", + "Skeletal King", + "Skeleton Bone", + "Skeleton Token", + "Skeris, the Unholy Helm", + "Skull Seal", + "Slayer Boots", + "Snowman Pendant", + "Soul Blossom", + "Soul Devourer", + "Soul Drinker", + "Soul Eater", + "Soul of Abyss", + "Soul of the Dead", + "Soul Stone", + "Soulbane", + "Soulstalker", + "Spear of Judgment", + "Spearhead of Death", + "Spider Lord", + "Spider Token", + "Spirit Beast", + "Spirit Dagger", + "Spirit Flame", + "Spirit of Abyss", + "Spirit of Forest", + "Spirit of Nightmare", + "Spirit of Protector", + "Spirit Orb", + "Spiritus, the Sword of Elements", + "Splitting of the Sky and Earth", + "Staff of Abyss", + "Staff of Contagion", + "Staff of Corruption", + "Staff of Crimson Flame", + "Staff of Darkness", + "Staff of Deep Sea", + "Staff of Domination", + "Staff of Flame", + "Staff of Madness", + "Staff of Plague", + "Staff of Poison", + "Staff of Souls", + "Staff of Tentacles", + "Staff of Void", + "Stalker", + "Star of Apotheosis", + "Stash of Gold", + "Steel of God", + "Stone Plates", + "Storage Expansion Coupon", + "Storm Headdress", + "Storm Reaver", + "Storm", + "Sturdy Bag", + "Sword of Corruption", + "Sword of Crimson Flame", + "Sword of Darkness", + "Sword of Deep Sea", + "Sword of Flame", + "Sword of Poison", + "Tentacle Horn", + "Tentacle Lord", + "Tentacle Token", + "The Ancient Sword of Poison", + "The Archdevil's Bow", + "The Archdevil's Cannon", + "The Archdevil's Greatsword", + "The Archdevil's Staff", + "The Armor of Blood", + "The Armor of Demonblood", + "The Armor of Despair", + "The Armor of Lamentation", + "The Armor of Ruin", + "The Armor of the Reaper", + "The Bloodspear of Domination", + "The Bloodspear of Requiem", + "The Bloodspear", + "The Bloodsword of Domination", + "The Bow of Certain Destruction", + "The Bow of Divine Fury", + "The Bow of Frost", + "The Bow of God", + "The Bow of Skies", + "The Bow of Wind", + "The Bringer of Storms", + "The Bullet of Judgment", + "The Crimson Armor of Blood", + "The Crimson Sword of Requiem", + "The Devil Lord's Ring", + "The Earthen Heart", + "The Earthen Pillar", + "The Earthen Soul", + "The Ender", + "The Engraved Ring", + "The Greater Source of Mana", + "The Greatsword of Explosion", + "The Greatsword of Flame", + "The Holy Staff", + "The Holy Sword", + "The Illusional Sword of Poison", + "The Iron Bullet", + "The Origin of Knowledge", + "The Pipe of Chaos", + "The Reigning Sword of Poison", + "The Ring of Blood", + "The Robe of Heavens", + "The Robe of Hell", + "The Robe of Holy Maiden", + "The Robe of the Witch", + "The Rod of Earth", + "The Source of Mana", + "The Spear of Frost", + "The Spear of Heavenly Flows", + "The Spear of Lightning", + "The Staff of Chaos", + "The Staff of Duality", + "The Staff of Space", + "The Sword of Chaos", + "The Sword of Dreams", + "The Sword of Eternity", + "the Sword of Illusion", + "The Sword of Light", + "The Sword of Love and Hate", + "The Sword of Moonlight", + "The Sword of Nightmares", + "The Sword of Protection", + "The Sword of Slaughter", + "The Sword of Thousand Illusions", + "The True Holy Staff", + "The True Holy Sword", + "The True Staff of Space", + "The True Sword of Eternity", + "the True Sword of Illusion", + "The True Unholy Bow", + "The True Unholy Sword", + "The Unholy Armor", + "The Unholy Bow", + "The Unholy Sword", + "Tidal Robe", + "Titan's Plates", + "Token of Darkness", + "Token of Death", + "Token of Underlord", + "Tresure Keys", + "Trident", + "Triple Snow", + "Troll Axe", + "Troll Battlewear", + "Troll Blood", + "True Blood Cannon Tepes", + "True Bloodstone Plates", + "True Dragon Armor Magron", + "True Dragon Cannon Belenus", + "True Dragon Helm Agron", + "True Dragonbow Aience", + "True Dragonstaff Irave", + "True Dragonsword Lainhart", + "True Guardian Ring", + "Trueblood Ring", + "Tthe Ring of Chaos", + "Tthe Ring of Overlord", + "Tunic of Subtlety", + "Tunic of the Wraith", + "Turtle Lord", + "Turtle Token", + "Tusk Hunter", + "Twin Snow", + "Twisted Fragment of Ruins", + "Valtora", + "Very Silky Bag", + "Very Sturdy Bag", + "Vest of Cyclone", + "Vest of Divine Winds", + "Vest of Protection", + "Vest of Storm", + "Visage of Vengeance", + "Visvire, the Hammer of Storm", + "Void Eye", + "Voidshard Armor", + "Walrus Skin Cloak", + "Wand", + "Wanderer's Cape", + "Wands", + "Warm Fur", + "Water Cannon", + "White Crystal Golem Token", + "White Magic Stone", + "Wind-Protection Clothing", + "Wing Frame", + "Wing of Sea", + "Wings of Blood Lord", + "Wings of Cosmos", + "Wings of Death Token", + "Wings of Death", + "Wings of Flame Lord", + "Wings of Frost Lord", + "Wings of Fury", + "Wings of Immortal", + "Wings of Nature", + "Wings of Night Lord", + "Wings of Phoenix", + "Wings of Purification", + "Wings of Sacred Provenance", + "Wings of Slayer", + "Winter Robe", + "Winter Rose", + "Winter's Heart", + "Winter's Tear", + "Yellow Crystal Golem Token", + "Zombie Lord", + "Zombie Token" + ], + "trippy": [ + "abstract fractals", + "abstract fractals", + "astral", + "c4d abstract fractals", + "celestial", + "chroma", + "consciousness-expanding", + "consciousness-expanding", + "coruscating", + "crazy-looking", + "dazed", + "delirium", + "effulgence", + "eidetic", + "empyrean", + "entoptic fractals", + "entoptic patterns", + "entoptic phenomena", + "ether", + "euneirophrenia", + "experimental", + "fractal mandelbrot", + "fractals", + "fractoids", + "freaky", + "freaky-looking", + "geometric fractals", + "geometric patterns", + "geometric shapes", + "gorgonize", + "hallucinatory", + "hallucinogen", + "hallucinogenic", + "iridescent", + "kaleidoid", + "kaleidoscopic", + "lambent", + "lustrous", + "mind-bending", + "mind-blowing", + "mind-changing", + "mind-expanding", + "mind-expanding drug", + "multi-dimensional", + "multicolored", + "multidimensional", + "mystical fractals", + "nacreous", + "nebulous", + "nimbus", + "nubivagant", + "numinous", + "oneironaut", + "opalescent", + "phantasmagoria", + "phantasmal", + "prismatic", + "prisms", + "psychedelic", + "psychoactive", + "psychotomimetic", + "psychotomimetic", + "psychotropic", + "spaced-out", + "spacy", + "speciouis", + "sublunary", + "supernal", + "supramundane", + "transient", + "triangular polgyonal", + "trippy", + "verisimilitude" + ], + "cosmic-star": [ + "Sol Star", + "Sirius Star", + "Canopus Star", + "Rigil Kentaurus Star", + "Toliman Star", + "Arcturus Star", + "Vega Star", + "Capella Star", + "Rigel Star", + "Procyon Star", + "Achernar Star", + "Betelgeuse Star", + "Hadar Star", + "Altair Star", + "Acrux Star", + "Aldebaran Star", + "Antares Star", + "Spica Star", + "Pollux Star", + "Fomalhaut Star", + "Deneb Star", + "Mimosa Star", + "Regulus Star", + "Adhara Star", + "Shaula Star", + "Castor Star", + "Gacrux Star", + "Bellatrix Star", + "Elnath Star", + "Miaplacidus Star", + "Alnilam Star", + "Gamma Velorum Star", + "Alnair Star", + "Alnitak Star", + "Alioth Star", + "Dubhe Star", + "Mirfak Star", + "Wezen Star", + "Sargas Star", + "Kaus Australis Star", + "Avior Star", + "Alkaid Star", + "Menkalinan Star", + "Atria Star", + "Alhena Star", + "Peacock Star", + "Alsephina Star", + "Mirzam Star", + "Alphard Star", + "Polaris Star", + "Hamal Star", + "Algieba Star", + "Diphda Star", + "Mizar Star", + "Nunki Star", + "Menkent Star", + "Mirach Star", + "Alpheratz Star", + "Rasalhague Star", + "Kochab Star", + "Saiph Star", + "Denebola Star", + "Algol Star", + "Tiaki Star", + "Muhlifain Star", + "Aspidiske Star", + "Suhail Star", + "Alphecca Star", + "Mintaka Star", + "Sadr Star", + "Eltanin Star", + "Schedar Star", + "Naos Star", + "Almach Star", + "Izar Star", + "Dschubba Star", + "Larawag Star", + "Merak Star", + "Ankaa Star", + "Enif Star", + "Scheat Star", + "Sabik Star", + "Phecda Star", + "Aludra Star", + "Markeb Star", + "Markab Star", + "Aljanah Star", + "Acrab Star" + ], + "cosmic-nebula": [ + "Dandelion Puffball Nebula", + "Bow-Tie Nebula", + "Ghost of Jupiter Nebula", + "Clown-faced Nebula", + "Ring Nebula", + "Cats Eye Nebula", + "Little Ghost Nebula", + "Medusa Nebula", + "Helix Nebula", + "Little Dumbbell Nebula", + "Owl Nebula", + "Twin Jet Nebula", + "Footprint Nebula", + "Butterfly Nebula", + "Jones-Emberson 1 Nebula", + "Lemon Slice Nebula", + "Soap Bubble Nebula", + "Skull Nebula", + "Oyster Nebula", + "Blue Flash Nebula", + "Fetus Nebula", + "Blue Snowball Nebula", + "Soccer Ball Nebula", + "Southern Crab Nebula", + "Red Spider Nebula", + "Bug Nebula", + "Saturn Nebula", + "Eight-burst Nebula", + "Spare-Tyre Nebula", + "Stingray Nebula", + "Retina Nebula", + "Spiral Planetary Nebula", + "Ant Nebula", + "Engraved Hourglass Nebula", + "Fleming Nebula", + "Southern Owl Nebula", + "Robins Egg Nebula", + "Cleopatras Eye", + "Box Nebula", + "Phantom Streak Nebula", + "Little Gem Nebula", + "The Box Nebula", + "Eye of Sauron Nebula", + "Boomerang Nebula", + "Calabash Nebula", + "Egg Nebula", + "Frosty Leo Nebula", + "Red Rectangle Nebula", + "Cotton Candy Nebula", + "Water lily nebula", + "Westbrook nebula", + "LL pegasi nebula", + "M1-92 Nebula", + "Minkowskis Butterfly Nebula", + "Bubble Nebula", + "California Nebula", + "Carina Nebula", + "Cave Nebula", + "Cone Nebula", + "Crescent Nebula", + "Double Helix Nebula", + "Eagle Nebula", + "Elephants Trunk Nebula", + "Eta Carinae Nebula", + "Flame Nebula", + "Gum Nebula", + "Heart Nebula", + "Homunculus Nebula", + "Horsehead Nebula", + "Lagoon Nebula", + "North America Nebula", + "Omega Nebula", + "Pistol Nebula", + "Rosette Nebula", + "Running Chicken Nebula", + "Soul Nebula", + "Tarantula Nebula", + "Trifid Nebula", + "Witch Head Neabula", + "Messier 43 Nebula", + "Messier 78 Nebula", + "Reflection Nebula", + "Pacman Nabula", + "Orion Nebula", + "Ghost Head Nebula", + "NGC 604 Nebula", + "Tarantula Nebula", + "Dragonfish nebula", + "RCW 49 nebula", + "Prawn Nebula", + "Serepns-Aquila Rift Nebula", + "Canis Major Overdenisty Nebula", + "Large Magellanic Cloud", + "Barnards Loop Nebula", + "Coalsack Nebula", + "Veil Nebula" + ], + "cosmic-galaxy": [ + "Abell Galaxy", + "Alcyoneus Galaxy", + "Andromeda Galaxy", + "Antennae Galaxies", + "Antila 2 galaxy", + "Backward Galaxy", + "Black Eye Galaxy", + "Bode's Galaxy", + "Butterfly Galaxies", + "Canes Venatici I galaxy", + "Canis Major Dwarf Galaxy", + "Cartwheel Galaxy", + "Cigar Galaxy", + "Circinus Galaxy", + "Coma Pinwheel Galaxy", + "Comet Galaxy", + "Condor Galaxy", + "Condor Galaxy", + "Cosmos Redshift 7 Galaxy", + "Crater II galaxy", + "Draco Dwarf Galaxy", + "Eye of Sauron Galaxy", + "Fireworks Galaxy", + "Hercules A Galaxy", + "Hoag's Object", + "Hockey Stick Galaxies", + "Large Magellanic Cloud", + "Lindsay-Shapley Ring", + "Little Sombrero Galaxy", + "Malin 1 Galaxy", + "Mayall's Object", + "Medusa Merger Galaxy", + "Mice Galaxies", + "Milky Way", + "Needle Galaxy", + "Pinwheel Galaxy", + "Sculptor Dwarf Galaxy", + "Sculptor Galaxy", + "Sculptor Galaxy", + "Small Magellanic Cloud", + "Sombrero Galaxy", + "Southern Pinwheel Galaxy", + "Sunflower Galaxy", + "Tadpole Galaxy", + "Triangulum Galaxy", + "Ursa Major I Dwarf Galaxy", + "Ursa Minor Galaxy", + "Whirlpool Galaxy", + "Wolf-Lundmark-Melotte" + ], + "cosmic-terms": [ + "Giant GRB Ring", + "Keplers Law", + "Supermassive Black Hole", + "Supernova", + "Asteroid", + "Asteroid Belt", + "Asteroid Field", + "Asteroids", + "Astronaut", + "Atmosphere", + "Background Radiation", + "Big Bang Theory", + "Binary Star", + "Binary Star System", + "Binary System", + "Black Body", + "Celestial", + "Celestial Equator", + "Cislunar", + "Comet", + "Comets", + "Corona", + "Cosmic Dust", + "Cosmic Radiation", + "Cosmology", + "Cosmonaut", + "Cosmos", + "Crater", + "Dark Matter", + "Debris Field", + "Deep Space", + "Dwarf Planet", + "Dwarf Planets", + "Elliptical Orbit", + "Event Horizon", + "Exoplanet", + "Exoplanets", + "Extragalactic", + "Falling Star", + "Falres", + "Flare", + "Flyby", + "Galaxies", + "Galaxy", + "Gamma Ray", + "Gamma Rays", + "Geostationary", + "Gravitation", + "Gravitational Lens", + "Gravitational Lensing", + "Gravity", + "Heliosphere", + "Helium", + "Hubbles Law", + "Hygrogen", + "Hyperbolic Orbit", + "Hypercompact Steller System", + "Hypernova", + "Ice Giant", + "Inferior Planet", + "Inferior Planets", + "Inner Planets", + "Intersteller", + "Intersteller Dust", + "Ionosphere", + "Kuiper Belt", + "Lagrange Point", + "Lagrange Points", + "Lens", + "Light-Years Across", + "Local Group", + "Lunar", + "Magnitude", + "Mass", + "Meteor", + "Meteor Shower", + "Meteoroid", + "Meteors", + "Microgravity", + "Minor Planet", + "Moon", + "Moons", + "Nebula", + "Nebulas", + "Neutron Star", + "Neutron Stars", + "Nova", + "Novas", + "Oort Cloud", + "Orbital Eccentricity", + "Orbital Inclination", + "Outer Planets", + "Parallax", + "Perigee", + "Phase", + "Planet", + "Planetary Nebula", + "Planetary Nursery", + "Planetoid", + "Planetoids", + "Planets", + "Pulsar", + "Quasar", + "Quasars", + "Radiant", + "Rings", + "Roche Limit", + "Rogue Planet", + "Rogue Planets", + "Satellite", + "Satellites", + "Shooting Star", + "Singularity", + "Sky", + "Solar", + "Solar System", + "Solar Systems", + "Solar Wind", + "Solstice", + "Space Lab", + "Space Station", + "Spectrum", + "Starlight", + "Stratosphere", + "Subspace", + "Sunspot", + "Superior Planets", + "Supernovas", + "Telemetry", + "Telescope", + "Terrestrial", + "Total Eclipse", + "Totality", + "Transit", + "Translunar", + "Transneptunian", + "Twinkling", + "Umbra", + "Universe", + "Vacuum", + "Van Allen Belt", + "Variable Star", + "Variable Stars", + "Vernal Equinox", + "Visual Magnitude", + "Waning", + "Waxing", + "White Hole", + "Wightlessness", + "Wormhole", + "X-Rays", + "Zenith" + ], + "flower": [ + "Acacia", + "Achillea", + "Adam's-needle", + "African Boxwood", + "African Lily", + "Agapanthus", + "Ageratum", + "Ageratum houstonim", + "Allium", + "Alpina", + "Alstroemeria", + "Amaranthus hypochondriacus", + "Amaryllis", + "Ammi majus", + "Anconitum", + "Anemone", + "Anigozanthus", + "Annual Delphinium", + "Anthurium", + "Antirrhinum majus", + "Artichoke thistle", + "Asparagus", + "Aster", + "Astilbe", + "Baby's Breath", + "Bachelor's Button", + "Banksia", + "Bellflower", + "Big Flax", + "Bighead Knapweed", + "Billy Buttons", + "Bird of Paradise", + "Blazing Star", + "Blue Lace Flower", + "Boronia", + "Bouvardia", + "Boxwood African", + "Diosma", + "Buckthorn Variegated", + "Buddleia", + "Bupleurum", + "Butterfly Bush", + "Butterfly Orchid", + "Calla Lily", + "Campanula", + "Candytuft", + "Canterbury Bells", + "Carnation", + "Carthamus", + "Casa Blanca", + "Caspia", + "Cattleya", + "Celosia", + "Celosia argenta", + "Centaurea cyanus", + "Chamelaucium", + "Chimney Bells", + "Chrysanthemum", + "Chrysanthemum x morifolium", + "Clarkia", + "Cockscomb Crested", + "Coffee Bean Berry", + "Common Myrtle", + "Common Yarrow", + "Cone Flower", + "Consolida ambigua", + "Convallaria", + "Cordyline", + "Cosmos", + "Cornflower", + "Craspedia", + "Curly Willow", + "Cymbidium", + "Cymbidium Orchid", + "Daffodil", + "Dahlia", + "Daisy Mums", + "Delphinium Belladonna", + "Delphinium Pacific Giant", + "Dendrobium", + "Dendrobium Orchid", + "Dianthus barbatus", + "Dianthus caryophyllus", + "Dianthus caryophyllus nana", + "Erica spp", + "Eucalyptus seeded", + "Eucalyptus silver dollar", + "Eustoma grandiflorum", + "False Bird of Paradise", + "False Spirea", + "Farewell-To-Spring", + "Fernleaf Yarrow", + "Feverfew", + "Flamingo Flower", + "Flax New Zealand", + "Floss Flower", + "Foxtail Fern", + "Freesia", + "Freesia x hybrida", + "Fuji Mums", + "Gardenia", + "Gay Feather", + "Genista", + "Gerbera", + "Gerbera Ruby Red", + "Ginger", + "Gladiolus", + "Gladiolus hybrid nanus", + "Goat's Beard", + "Godetia", + "Golden Rod", + "Guersney Lily", + "Gyp", + "Gypsophila paniculata", + "Hanging Helicona", + "Heath", + "Heather", + "Helianthus annuus", + "Heliconia spp.", + "Hippeastrum", + "Hydrangea", + "Iberis amara", + "Inca Lily", + "Iris", + "Japhette Orchid", + "Jonquil", + "Knapweed", + "Lace fern", + "Larkspur", + "Lathyrus odoratus", + "Lavandula", + "Lavender", + "Liatris", + "Lilac", + "Lily", + "Lilly-of-the-Valley", + "Lily Casa Blanca", + "Lily of the Field", + "Lily of the Nile", + "Lily Stargazer", + "Limonium", + "Lisianthus", + "Marguerite daisy", + "Mattholia incana", + "Melaleuca", + "Memosa", + "Misty Blue Limonium", + "Moluccella laevis", + "Monkshood", + "Montbretia", + "Monte Cassino", + "Moon orchid", + "Musa", + "Myrsine", + "Myrtle", + "Myrtus", + "Nephrolepis", + "Nerine", + "Nerine Lily", + "Nigella", + "Ornithogalum", + "Paeonia", + "Painted Tongue", + "Paper Reed", + "Papyrus lion's head", + "Peony", + "Peruvian Lily", + "Phalaenopsis", + "Philodendron", + "Phlox", + "Pincushion Flower", + "Pink Mink", + "Pitt", + "Pittosporum", + "Pixie Carnation", + "Polianthes tuberosa", + "Pompon Chrysanthemum", + "Poppy Anemone", + "Porium", + "Pussy Willow", + "Queen Anne's Lace", + "Ranunculus", + "Red Ribbons", + "Rice flower", + "Rose", + "Rose Bridal Pink", + "Rose Bridal White", + "Rose Champagne", + "Rose Diadem", + "Rose Emblem", + "Rose Kardinal", + "Rose Lady Liberty", + "Rose Lavanda", + "Rose Osiana", + "Rose Royalty", + "Safari Sunset", + "Safflower", + "Sage Perennial", + "Salix", + "Salmon Reagan", + "Sansevieria", + "Saponaria", + "Satin Flowers", + "Saxicola", + "Scabiosa", + "Schinus", + "Sea lavender", + "Shell Flowers", + "Snake Plant", + "Snapdragon", + "Solidago", + "Solidaster", + "Speedwell", + "Spider Lily", + "Spider Mums", + "Spray Carnation", + "Sprengeri Fern", + "Star of Bethlehem", + "Statice", + "Stenamezon", + "Stephanotis", + "Strawberry banksia", + "Strawflower", + "Summer poinsettia", + "Summer's Darling", + "Sunflower", + "Sweet Pea", + "Sweet William", + "Sword Fern", + "Syringa vulgaris", + "Tailflowers", + "Tassel flower", + "Thouroughwax", + "Throatwort", + "Tracelium", + "Tree Fern", + "Trumpet Lily", + "Tuberose", + "Tulip", + "Tulipa", + "Veronica", + "Wattle", + "Waxflower", + "Wild Plantain", + "Willow curly", + "Windflower", + "Wolfsbane", + "Zantedeschia", + "Zinna", + "Zinnia elegans" + ], + "dinosaur": [ + "Aardonyx", + "Abelisaurus", + "Abrictosaurus", + "Abrosaurus", + "Abydosaurus", + "Acanthopholis", + "Achelousaurus", + "Achillobator", + "Acrocanthosaurus", + "Adamantisaurus", + "Adasaurus", + "Adeopapposaurus", + "Aegyptosaurus", + "Aeolosaurus", + "Aerosteon", + "Afrovenator", + "Agilisaurus", + "Agustinia", + "Alamosaurus", + "Alaskacephale", + "Albertonykus", + "Albertosaurus", + "Alectrosaurus", + "Aletopelta", + "Alioramus", + "Allosaurus", + "Altirhinus", + "Alvarezsaurus", + "Alxasaurus", + "Amargasaurus", + "Amazonsaurus", + "Ammosaurus", + "Ampelosaurus", + "Amphicoelias", + "Amurosaurus", + "Anabisetia", + "Anatosaurus", + "Anatotitan", + "Anchiornis", + "Anchisaurus", + "Andesaurus", + "Angaturama", + "Angolatitan", + "Angulomastacator", + "Animantarx", + "Ankylosaurus", + "Anserimimus", + "Antarctopelta", + "Antarctosaurus", + "Antetonitrus", + "Apatosaurus", + "Appalachiosaurus", + "Aragosaurus", + "Aralosaurus", + "Archaeoceratops", + "Archaeopteryx", + "Archaeornithomimus", + "Argentinosaurus", + "Argyrosaurus", + "Aristosuchus", + "Arrhinoceratops", + "Astrodon", + "Atlasaurus", + "Atlascopcosaurus", + "Atrociraptor", + "Aublysodon", + "Aucasaurus", + "Auroraceratops", + "Australodocus", + "Australovenator", + "Austroraptor", + "Austrosaurus", + "Avaceratops", + "Aviatyrannis", + "Avimimus", + "Bactrosaurus", + "Bagaceratops", + "Bagaraatan", + "Bahariasaurus", + "Balaur", + "Bambiraptor", + "Barapasaurus", + "Barosaurus", + "Baryonyx", + "Becklespinax", + "Beipiaosaurus", + "Beishanlong", + "Bellusaurus", + "Bistahieversor", + "Bonitasaura", + "Borogovia", + "Bothriospondylus", + "Brachiosaurus", + "Brachyceratops", + "Brachylophosaurus", + "Brachytrachelopan", + "Brontomerus", + "Bruhathkayosaurus", + "Buitreraptor", + "Byronosaurus", + "Camarasaurus", + "Camelotia", + "Camptosaurus", + "Carcharodontosaurus", + "Carnotaurus", + "Caudipteryx", + "Centrosaurus", + "Cerasinops", + "Ceratonykus", + "Ceratosaurus", + "Cetiosauriscus", + "Cetiosaurus", + "Chaoyangsaurus", + "Charonosaurus", + "Chasmosaurus", + "Chialingosaurus", + "Chilantaisaurus", + "Chindesaurus", + "Chirostenotes", + "Chubutisaurus", + "Chungkingosaurus", + "Citipati", + "Claosaurus", + "Coahuilaceratops", + "Coelophysis", + "Coelurus", + "Colepiocephale", + "Compsognathus", + "Concavenator", + "Conchoraptor", + "Condorraptor", + "Corythosaurus", + "Crichtonsaurus", + "Cryolophosaurus", + "Cryptovolans", + "Dacentrurus", + "Daemonosaurus", + "Daspletosaurus", + "Datousaurus", + "Deinocheirus", + "Deinonychus", + "Deltadromeus", + "Diabloceratops", + "Diamantinasaurus", + "Diceratops", + "Dicraeosaurus", + "Dilong", + "Dilophosaurus", + "Dimetrodon", + "Diplodocus", + "Dollodon", + "Dracopelta", + "Dracorex", + "Dravidosaurus", + "Drinker", + "Dromaeosaurus", + "Dromiceiomimus", + "Dryosaurus", + "Dryptosaurus", + "Dubreuillosaurus", + "Dyslocosaurus", + "Dystrophaeus", + "Echinodon", + "Edmarka", + "Edmontonia", + "Edmontosaurus", + "Efraasia", + "Einiosaurus", + "Ekrixinatosaurus", + "Elaphrosaurus", + "Elrhazosaurus", + "Enigmosaurus", + "Eocarcharia", + "Eocursor", + "Eodromaeus", + "Eolambia", + "Eoraptor", + "Eotyrannus", + "Epachthosaurus", + "Epidendrosaurus", + "Equiijubus", + "Erketu", + "Erlikosaurus", + "Euhelopus", + "Euoplocephalus", + "Europasaurus", + "Euskelosaurus", + "Eustreptospondylus", + "Fabrosaurus", + "Falcarius", + "Fruitadens", + "Fukuiraptor", + "Fukuisaurus", + "Fulgurotherium", + "Futalognkosaurus", + "Gallimimus", + "Gargoyleosaurus", + "Garudimimus", + "Gasosaurus", + "Gasparinisaura", + "Gastonia", + "Giganotosaurus", + "Gigantoraptor", + "Gigantspinosaurus", + "Gilmoreosaurus", + "Giraffatitan", + "Gobiceratops", + "Gojirasaurus", + "Gondwanatitan", + "Gorgosaurus", + "Goyocephale", + "Gryposaurus", + "Guanlong", + "Hadrosaurus", + "Hagryphus", + "Haplocanthosaurus", + "Haplocheirus", + "Harpymimus", + "Herrerasaurus", + "Hesperonychus", + "Hesperosaurus", + "Heterodontosaurus", + "Hexinlusaurus", + "Heyuannia", + "Hippodraco", + "Homalocephale", + "Hongshanosaurus", + "Huabeisaurus", + "Huaxiagnathus", + "Huayangosaurus", + "Hylaeosaurus", + "Hypacrosaurus", + "Hypselosaurus", + "Hypsilophodon", + "Ignavusaurus", + "Iguanacolossus", + "Iguanodon", + "Ilokelesia", + "Incisivosaurus", + "Indosuchus", + "Ingenia", + "Irritator", + "Isisaurus", + "Janenschia", + "Jaxartosaurus", + "Jeholosaurus", + "Jeyawati", + "Jinfengopteryx", + "Jingshanosaurus", + "Jinzhousaurus", + "Jobaria", + "Juravenator", + "Kaijiangosaurus", + "Kentrosaurus", + "Khaan", + "Kileskus", + "Kol", + "Koreaceratops", + "Kosmoceratops", + "Kotasaurus", + "Kritosaurus", + "Kryptops", + "Labocania", + "Lagosuchus", + "Lambeosaurus", + "Lanzhousaurus", + "Lapparentosaurus", + "Leaellynasaura", + "Leptoceratops", + "Lesothosaurus", + "Lessemsaurus", + "Lexovisaurus", + "Liaoceratops", + "Liliensternus", + "Limusaurus", + "Linhenykus", + "Linheraptor", + "Linhevenator", + "Lophostropheus", + "Lourinhanosaurus", + "Luanchuanraptor", + "Lufengosaurus", + "Lurdusaurus", + "Lycorhinus", + "Magnirostris", + "Magnosaurus", + "Magyarosaurus", + "Mahakala", + "Maiasaura", + "Majungatholus", + "Malawisaurus", + "Mamenchisaurus", + "Mantellisaurus", + "Mapusaurus", + "Marshosaurus", + "Masiakasaurus", + "Massospondylus", + "Maxakalisaurus", + "Medusaceratops", + "Megalosaurus", + "Megapnosaurus", + "Megaraptor", + "Mei", + "Melanorosaurus", + "Metriacanthosaurus", + "Microceratops", + "Micropachycephalosaurus", + "Microraptor", + "Minmi", + "Minotaurasaurus", + "Miragaia", + "Mirischia", + "Mojoceratops", + "Monkonosaurus", + "Monoclonius", + "Monolophosaurus", + "Mononykus", + "Mussaurus", + "Muttaburrasaurus", + "Mymoorapelta", + "Nanotyrannus", + "Nanshiungosaurus", + "Nedcolbertia", + "Neimongosaurus", + "Nemegtomaia", + "Nemegtosaurus", + "Neovenator", + "Neuquensaurus", + "Nigersaurus", + "Noasaurus", + "Nodocephalosaurus", + "Nodosaurus", + "Nomingia", + "Nothronychus", + "Notohypsilophodon", + "Nqwebasaurus", + "Ojoceratops", + "Olorotitan", + "Omeisaurus", + "Opisthocoelicaudia", + "Ornitholestes", + "Ornithomimus", + "Orodromeus", + "Oryctodromeus", + "Othnielia", + "Ouranosaurus", + "Oviraptor", + "Oxalaia", + "Ozraptor", + "Pachycephalosaurus", + "Pachyrhinosaurus", + "Paluxysaurus", + "Panoplosaurus", + "Panphagia", + "Pantydraco", + "Paralititan", + "Paranthodon", + "Parasaurolophus", + "Patagosaurus", + "Pawpawsaurus", + "Pedopenna", + "Pelecanimimus", + "Pelorosaurus", + "Pentaceratops", + "Phuwiangosaurus", + "Piatnitzkysaurus", + "Pinacosaurus", + "Pisanosaurus", + "Plateosaurus", + "Pleurocoelus", + "Podokesaurus", + "Poekilopleuron", + "Polacanthus", + "Prenocephale", + "Prenoceratops", + "Probactrosaurus", + "Proceratosaurus", + "Procompsognathus", + "Propanoplosaurus", + "Prosaurolophus", + "Protarchaeopteryx", + "Protoceratops", + "Psittacosaurus", + "Puertasaurus", + "Pyroraptor", + "Qantassaurus", + "Qiaowanlong", + "Quaesitosaurus", + "Rahonavis", + "Rajasaurus", + "Rapetosaurus", + "Raptorex", + "Rebbachisaurus", + "Regnosaurus", + "Rhabdodon", + "Rhoetosaurus", + "Richardoestesia", + "Rinchenia", + "Riojasaurus", + "Rugops", + "Saichania", + "Saltasaurus", + "Saltopus", + "Sanjuansaurus", + "Santanaraptor", + "Sarahsaurus", + "Sarcolestes", + "Sarcosaurus", + "Saturnalia", + "Saurolophus", + "Sauropelta", + "Saurophaganax", + "Sauroposeidon", + "Saurornithoides", + "Saurornitholestes", + "Scansoriopteryx", + "Scelidosaurus", + "Scipionyx", + "Scutellosaurus", + "Secernosaurus", + "Segisaurus", + "Segnosaurus", + "Seismosaurus", + "Seitaad", + "Sellosaurus", + "Shantungosaurus", + "Shenzhousaurus", + "Shunosaurus", + "Shuvosaurus", + "Shuvuuia", + "Siamotyrannus", + "Silvisaurus", + "Similicaudipteryx", + "Sinocalliopteryx", + "Sinornithoides", + "Sinornithomimus", + "Sinornithosaurus", + "Sinosauropteryx", + "Sinovenator", + "Sinraptor", + "Sinusonasus", + "Skorpiovenator", + "Sonorasaurus", + "Sphaerotholus", + "Spinophorosaurus", + "Spinosaurus", + "Spinostropheus", + "Staurikosaurus", + "Stegoceras", + "Stegosaurus", + "Stenopelix", + "Stokesosaurus", + "Struthiomimus", + "Struthiosaurus", + "Stygimoloch", + "Styracosaurus", + "Suchomimus", + "Supersaurus", + "Suuwassea", + "Suzhousaurus", + "Szechuanosaurus", + "Talarurus", + "Talenkauen", + "Talos", + "Tanius", + "Tanycolagreus", + "Tarascosaurus", + "Tarbosaurus", + "Tarchia", + "Tastavinsaurus", + "Tatankacephalus", + "Tawa", + "Technosaurus", + "Telmatosaurus", + "Tenontosaurus", + "Teratophoneus", + "Tethyshadros", + "Texacephale", + "Thecodontosaurus", + "Theiophytalia", + "Therizinosaurus", + "Thescelosaurus", + "Tianyulong", + "Tianyuraptor", + "Timimus", + "Titanoceratops", + "Titanosaurus", + "Torosaurus", + "Torvosaurus", + "Triceratops", + "Troodon", + "Tsaagan", + "Tsintaosaurus", + "Tuojiangosaurus", + "Tylocephale", + "Tyrannosaurus", + "Tyrannotitan", + "Uberabatitan", + "Udanoceratops", + "Unaysaurus", + "Unenlagia", + "Urbacodon", + "Utahceratops", + "Utahraptor", + "Valdosaurus", + "Variraptor", + "Velafrons", + "Velociraptor", + "Vulcanodon", + "Wannanosaurus", + "Wellnhoferia", + "Wintonotitan", + "Wuerhosaurus", + "Xenoposeidon", + "Xenotarsosaurus", + "Xiaosaurus", + "Xiaotingia", + "Xiongguanlong", + "Xixianykus", + "Xuanhanosaurus", + "Xuanhuaceratops", + "Yamaceratops", + "Yandusaurus", + "Yangchuanosaurus", + "Yaverlandia", + "Yimenosaurus", + "Yinlong", + "Yizhousaurus", + "Yunnanosaurus", + "Zalmoxes", + "Zanabazar", + "Zhuchengosaurus", + "Zhuchengtyrannus", + "Zuniceratops", + "Zupaysaurus" + ], + "natl-park": [ + "Acadia National Park", + "Arches National Park", + "Badlands National Park", + "Big Bend National Park", + "Biscayne National Park", + "Black Canyon of the Gunnison National Park", + "Bryce Canyon National Park", + "Canyonlands National Park", + "Capitol Reef National Park", + "Carlsbad Caverns National Park", + "Channel Islands National Park", + "Congaree National Park", + "Crater Lake National Park", + "Cuyahoga Valley National Park", + "Death Valley National Park", + "Denali National Park and Preserve", + "Dry Tortugas National Park", + "Everglades National Park", + "Gates of the Arctic National Park and Preserve", + "Glacier National Park Glacier Bay National Park and Preserve", + "Grand Canyon National Park", + "Grand Teton National Park", + "Great Basin National Park", + "Great Sand Dunes National Park and Preserve", + "Great Smoky Mountains National Park", + "Guadalupe Mountains National Park", + "Haleakala National Park", + "Hawaii Volcanoes National Park", + "Hot Springs National Park", + "Isle Royale National Park", + "Joshua Tree National Park", + "Katmai National Park and Preserve", + "Kenai Fjords National Park", + "Kings Canyon National Park", + "Kobuk Valley National Park", + "Lake Clark National Park and Preserve", + "Lassen Volcanic National Park", + "Mammoth Cave National Park", + "Mesa Verde National Park", + "Mount Rainier National Park", + "North Cascades National Park", + "Olympic National Park", + "Petrified Forest National Park", + "Redwood National and State Parks", + "Rocky Mountain National Park", + "Saguaro National Park", + "Sequoia National Park", + "Shenandoah National Park", + "Theodore Roosevelt National Park", + "Voyageurs National Park", + "Wind Cave National Park", + "Wrangell-St. Elias National Park and Preserve", + "Yellowstone National Park", + "Yosemite National Park", + "Zion National Park" + ], + "fruit": [ + "Abiu", + "Acai", + "Acerola", + "Ackee", + "African Cherry Orange", + "Alligator Apple", + "Amazon Grape", + "Ambarella", + "American Mayapple", + "Apple", + "Apricot", + "Araza", + "Arhat", + "Avocado", + "Babaco", + "Bael", + "Banana", + "Barbadine", + "Barbados Cherry", + "Barberry", + "Bayberry", + "Beach Plum", + "Bearberry", + "Beechnut", + "Berry", + "Betel Nut", + "Bignay", + "Bilberry", + "Bilimbi", + "Bitter Gourd", + "Black Apple", + "Black Cherry", + "Black Mulberry", + "Black Raspberry", + "Black Sapote", + "Blackberry", + "Blackcurrant", + "Blood Orange", + "Blue Tongue", + "Blueberry", + "Bolwarra", + "Bottle Gourd", + "Boysenberry", + "Bramble", + "Brazil Nut", + "Breadfruit", + "Broadleaf Bramble", + "Buffaloberry", + "Burdekin Plum", + "Burmese Grape", + "Cacao", + "Caimito", + "Cajamanga", + "Calabashtree", + "Camucamu", + "Canistel", + "Cantaloupe", + "Cape Gooseberry", + "Carambola", + "Cardon", + "Carob", + "Cashew", + "Cedar Bay Cherry", + "Cempedak", + "Ceylon Gooseberry", + "Che", + "Chenet", + "Cherimoya", + "Cherry", + "Chinese Bayberry", + "Chinese Mulberry", + "Chokeberry", + "Citron", + "Clementine", + "Cloudberry", + "Cluster Fig", + "Coconut", + "Cocoplum", + "Coffee", + "Common Apple-Berry", + "Conkerberry", + "Cornelian Cherry", + "Crabapple", + "Cranberry", + "Crowberry", + "Cudrang", + "Cudrania", + "Cupuacu", + "Currant", + "Custard Apple", + "Damson", + "Date", + "Date Palm", + "Date-Plum", + "Davidson's Plum", + "Desert Fig", + "Desert Lime", + "Dewberry", + "Doubah", + "Dragonfruit", + "Durain", + "Eastern May Hawthorn", + "Eggfruit", + "Eggplant", + "Elderberry", + "Elephant Apple", + "Emblic", + "Emu Apple", + "Entawak", + "Etrog", + "Feijoa", + "Fibrous Satinash", + "Fig", + "Fiji Longan", + "Finger Lime", + "Galendar", + "Galia", + "Gandaria", + "Genip", + "Genipap", + "Giant Granadilla", + "Golden Apple", + "Gooseberry", + "Goumi", + "Gourds", + "Grape", + "Grapefruit", + "Grapple", + "Greengage", + "Grenadilla", + "Guanabana", + "Guarana", + "Guava", + "Guavaberry", + "Hackberry", + "Hardy Kiwi", + "Hawthorn", + "Hog plum", + "Honeycrisp Apple", + "Honeydew Melon", + "Honeysuckle", + "Horned Melon", + "Huckleberry", + "Huito", + "Illawarra Plum", + "Indian Almond", + "Indian Fig", + "Indian Jujube", + "Indian Prune", + "Indian Strawberry", + "Ita Palm", + "Jaboticaba", + "Jackfruit", + "Jagua", + "Jamaica Cherry", + "Jambul", + "Japanese Bayberry", + "Japanese Raisin", + "Jasmine", + "Jatoba", + "Jenipapo", + "Jocote", + "Jujube", + "June Plum", + "Kaffir Lime", + "Kahikatea", + "Kakadu Lime", + "Kakadu Plum", + "Kandis Fruit", + "Karkalla", + "Keppel Fruit", + "Key Lime", + "Kiwi", + "Kumquat", + "Kundong", + "Kutjera", + "Lablab", + "Lady Apple", + "Langsat", + "Lanzones", + "Lapsi", + "Legume", + "Lemon", + "Lemon Aspen", + "Leucaena", + "Lillipilli", + "Lilly Pilly", + "Lime", + "Lingonberry", + "Loganberry", + "Longan", + "Loquat", + "Lucuma", + "Lulo", + "Lychee", + "Mabolo", + "Macadamia", + "Malay Apple", + "Mamey Sapote", + "Mamoncillo", + "Mandarin", + "Mango", + "Mangosteen", + "Manila Tamarind", + "Manoao", + "Marang", + "Marion Berry", + "Mayapple", + "Mayhaw", + "Maypop", + "Medlar", + "Melinjo", + "Melon", + "Melon Pear", + "Midyim", + "Mock Buckthorn", + "Mock strawberry", + "Monkey Apple", + "Monstera", + "Morinda", + "Mountain Soursop", + "Mulberry", + "Mundu", + "Muntries", + "Muskmelons", + "Myrtle", + "Nageia", + "Nance", + "Nannyberry", + "Naranja", + "Naranjilla", + "Native Cherry", + "Native Currant", + "Native Gooseberry", + "Nectarine", + "Neem", + "Nungu", + "Nutmeg", + "Oil Palm", + "Olallieberry", + "Old World Sycomore", + "Olive", + "Orange", + "Orangelo", + "Oregon Grape", + "Otaheite Apple", + "Papaya", + "Passion Fruit", + "Pawpaw", + "Peach", + "Peanut", + "Pear", + "Pequi", + "Persimmon", + "Pewa", + "Pigeon Plum", + "Pigface", + "Pili Nut", + "Pineapple", + "Pitaya", + "Pitomba", + "Plantain", + "Plum", + "Podocarpus", + "Poha", + "Pois Doux", + "Pomcite", + "Pomegranate", + "Pomelo", + "Pommecythere", + "Pommerac", + "Pond Apple", + "Prickly Pear", + "Prumnopitys", + "Prune", + "Pulasan", + "Pummelo", + "Pumpkin", + "Pupunha", + "Purple Apple-Berry", + "Quandong", + "Quenepa", + "Quince", + "Raisin", + "Rambutan", + "Rangpur", + "Raspberry", + "Red Bayberry", + "Red Mombin", + "Red Mulberry", + "Redcurrant", + "Rhubarb", + "Riberry", + "Ridged Gourd", + "Rimu", + "Rose Apple", + "Rose Hip", + "Rose Myrtle", + "Rose-Leaf Bramble", + "Rowan", + "Sageretia", + "Saguaro", + "Salak", + "Salal Berry", + "Salmonberry", + "Sandpaper Fig", + "Santol", + "Sapodilla", + "Sapote", + "Saskatoon", + "Saskatoonberry", + "Satsuma", + "Sea Grape", + "Sea-Buckthorn", + "Serviceberry", + "Shipova", + "Siberian Kiwi", + "Silkworm Thorn", + "Snow berry", + "Soncoya", + "Soursop", + "Star Apple", + "Strawberry", + "Strawberry-Guava", + "Strawberry-Pear", + "Sugar Apple", + "Surinam Cherry", + "Sweet Apple-Berry", + "Sweet Lemon", + "Sweetsop", + "Sycamore Fig", + "Sycomore", + "Tamarillo", + "Tamarind", + "Tangelo", + "Tangerine", + "Tanjong", + "Taxus Baccata", + "Texas Persimmon", + "Thimbleberry", + "Tomato", + "Toyon", + "Ugli Fruit", + "Ugn", + "Uva/Grape", + "Vanilla", + "Velvet Tamarind", + "Voavanga", + "Water Apple", + "Watermelon", + "Wax Apple", + "Wax Gourd", + "White Aspen", + "White Mulberry", + "White Sapote", + "Wild Orange", + "Wineberry", + "Winter Melon", + "Wolfberry", + "Wongi", + "Wood Apple", + "Xigua", + "Xylocarp", + "Yali Pear", + "Yamamomo", + "Yangmei", + "Yellow Plum", + "Yumberry", + "Zhe", + "Zigzag Vine", + "Ziziphus", + "Zucchini" + ], + "tree": [ + "acacia", + "alder", + "apple", + "arborvitae", + "ash", + "aspen", + "avocado", + "balsam", + "bamboo", + "banana", + "baobab", + "bay", + "beech", + "birch", + "blackthorn", + "bluegum", + "buckeye", + "butternut", + "cedar", + "cherry", + "chestnut", + "chinkapin", + "cork", + "cottonwood", + "cucumber", + "cypress", + "dogwood", + "elder", + "elm", + "fir", + "guava", + "hackberry", + "hawthorn", + "hemlock", + "hickory", + "holly", + "hophornbean", + "hornbean", + "jacaranda", + "juniper", + "larch", + "laurel", + "lemon", + "lime", + "locust", + "madrone", + "magnolia", + "maple", + "moosewood", + "mulberry", + "myrtle", + "nutmeg", + "oak", + "orange", + "palm", + "pear", + "persimmon", + "pine", + "pineapple", + "pi\u00f1on", + "pomegranate", + "poplar", + "redwood", + "sassafras", + "sequoia", + "shadbush", + "spruce", + "sumac", + "sycamore", + "tamarind", + "torreya", + "tupelo", + "walnut", + "willow", + "yew" + ], + "wh-site": [ + "Minaret and Archaeological Remains of Jam", + "Cultural Landscape and Archaeological Remains of the Bamiyan Valley", + "Natural and Cultural Heritage of the Ohrid region ", + "Butrint", + "Historic Centres of Berat and Gjirokastra", + "Al Qal'a of Beni Hammad", + "Dj\u00e9mila", + "M'Zab Valley", + "Tassili n'Ajjer ", + "Timgad", + "Tipasa", + "Kasbah of Algiers", + "Madriu-Perafita-Claror Valley", + "Mbanza Kongo, Vestiges of the Capital of the former Kingdom of Kongo", + "Antigua Naval Dockyard and Related Archaeological Sites", + "Los Glaciares National Park", + "Jesuit Missions of the Guaranis: San Ignacio Mini, Santa Ana, Nuestra Se\u00f1ora de Loreto and Santa Maria Mayor (Argentina), Ruins of Sao Miguel das Missoes (Brazil) ", + "Iguazu National Park", + "Cueva de las Manos, R\u00edo Pinturas", + "Pen\u00ednsula Vald\u00e9s", + "Ischigualasto / Talampaya Natural Parks", + "Jesuit Block and Estancias of C\u00f3rdoba", + "Quebrada de Humahuaca", + "Qhapaq \u00d1an, Andean Road System ", + "The Architectural Work of Le Corbusier", + "Los Alerces National Park", + "Monasteries of Haghpat and Sanahin", + "Cathedral and Churches of Echmiatsin and the Archaeological Site of Zvartnots", + "Monastery of Geghard and the Upper Azat Valley", + "Great Barrier Reef", + "Kakadu National Park", + "Willandra Lakes Region", + "Lord Howe Island Group", + "Tasmanian Wilderness", + "Gondwana Rainforests of Australia ", + "Uluru-Kata Tjuta National Park ", + "Wet Tropics of Queensland", + "Shark Bay, Western Australia", + "K\u2019gari (Fraser Island)", + "Australian Fossil Mammal Sites (Riversleigh / Naracoorte)", + "Heard and McDonald Islands", + "Macquarie Island", + "Greater Blue Mountains Area", + "Purnululu National Park", + "Royal Exhibition Building and Carlton Gardens", + "Sydney Opera House", + "Australian Convict Sites", + "Ningaloo Coast", + "Budj Bim Cultural Landscape", + "Historic Centre of the City of Salzburg", + "Palace and Gardens of Sch\u00f6nbrunn", + "Hallstatt-Dachstein / Salzkammergut Cultural Landscape", + "Semmering Railway", + "City of Graz \u2013 Historic Centre and Schloss Eggenberg", + "Wachau Cultural Landscape", + "Historic Centre of Vienna", + "Fert\u00f6 / Neusiedlersee Cultural Landscape ", + "Ancient and Primeval Beech Forests of the Carpathians and Other Regions of Europe ", + "Prehistoric Pile Dwellings around the Alps ", + "Frontiers of the Roman Empire \u2013 The Danube Limes (Western Segment) ", + "The Great Spa Towns of Europe ", + "Walled City of Baku with the Shirvanshah's Palace and Maiden Tower", + "Gobustan Rock Art Cultural Landscape", + "Historic Centre of Sheki with the Khan\u2019s Palace", + "Qal\u2019at al-Bahrain \u2013 Ancient Harbour and Capital of Dilmun", + "Pearling, Testimony of an Island Economy", + "Dilmun Burial Mounds", + "Historic Mosque City of Bagerhat", + "Ruins of the Buddhist Vihara at Paharpur", + "The Sundarbans", + "Historic Bridgetown and its Garrison", + "Bia\u0142owie\u017ca Forest ", + "Mir Castle Complex", + "Architectural, Residential and Cultural Complex of the Radziwill Family at Nesvizh", + "Struve Geodetic Arc ", + "Flemish B\u00e9guinages", + "La Grand-Place, Brussels", + "The Four Lifts on the Canal du Centre and their Environs, La Louvi\u00e8re and Le Roeulx (Hainaut)", + "Belfries of Belgium and France ", + "Historic Centre of Brugge", + "Major Town Houses of the Architect Victor Horta (Brussels)", + "Neolithic Flint Mines at Spiennes (Mons)", + "Notre-Dame Cathedral in Tournai", + "Plantin-Moretus House-Workshops-Museum Complex", + "Ancient and Primeval Beech Forests of the Carpathians and Other Regions of Europe ", + "Stoclet House", + "Major Mining Sites of Wallonia", + "The Architectural Work of Le Corbusier", + "Colonies of Benevolence ", + "The Great Spa Towns of Europe ", + "Belize Barrier Reef Reserve System", + "Royal Palaces of Abomey", + "W-Arly-Pendjari Complex ", + "City of Potos\u00ed", + "Jesuit Missions of the Chiquitos", + "Historic City of Sucre", + "Fuerte de Samaipata", + "Noel Kempff Mercado National Park", + "Tiwanaku: Spiritual and Political Centre of the Tiwanaku Culture", + "Qhapaq \u00d1an, Andean Road System ", + "Old Bridge Area of the Old City of Mostar", + "Ancient and Primeval Beech Forests of the Carpathians and Other Regions of Europe ", + "Mehmed Pa\u0161a Sokolovi\u0107 Bridge in Vi\u0161egrad", + "Ste\u0107ci Medieval Tombstone Graveyards ", + "Tsodilo", + "Okavango Delta", + "Historic Town of Ouro Preto", + "Historic Centre of the Town of Olinda", + "Jesuit Missions of the Guaranis: San Ignacio Mini, Santa Ana, Nuestra Se\u00f1ora de Loreto and Santa Maria Mayor (Argentina), Ruins of Sao Miguel das Missoes (Brazil) ", + "Historic Centre of Salvador de Bahia", + "Sanctuary of Bom Jesus do Congonhas", + "Igua\u00e7u National Park", + "Brasilia", + "Serra da Capivara National Park", + "Historic Centre of S\u00e3o Lu\u00eds", + "Atlantic Forest South-East Reserves", + "Discovery Coast Atlantic Forest Reserves", + "Historic Centre of the Town of Diamantina", + "Central Amazon Conservation Complex ", + "Pantanal Conservation Area", + "Brazilian Atlantic Islands: Fernando de Noronha and Atol das Rocas Reserves", + "Cerrado Protected Areas: Chapada dos Veadeiros and Emas National Parks", + "Historic Centre of the Town of Goi\u00e1s", + "S\u00e3o Francisco Square in the Town of S\u00e3o Crist\u00f3v\u00e3o", + "Rio de Janeiro: Carioca Landscapes between the Mountain and the Sea", + "Pampulha Modern Ensemble", + "Valongo Wharf Archaeological Site", + "Paraty and Ilha Grande \u2013 Culture and Biodiversity", + "S\u00edtio Roberto Burle Marx", + "Boyana Church", + "Madara Rider", + "Rock-Hewn Churches of Ivanovo", + "Thracian Tomb of Kazanlak", + "Ancient City of Nessebar", + "Pirin National Park", + "Rila Monastery", + "Srebarna Nature Reserve", + "Thracian Tomb of Sveshtari", + "Ancient and Primeval Beech Forests of the Carpathians ", + "W-Arly-Pendjari Complex *", + "Ruins of Lorop\u00e9ni", + "Ancient Ferrous Metallurgy Sites of Burkina Faso", + "Cidade Velha, Historic Centre of Ribeira Grande", + "Angkor", + "Temple of Preah Vihear", + "Temple Zone of Sambor Prei Kuk, Archaeological Site of Ancient Ishanapura", + "Dja Faunal Reserve", + "Sangha Trinational ", + "L\u2019Anse aux Meadows National Historic Site", + "Nahanni National Park ", + "Dinosaur Provincial Park", + "Kluane / Wrangell-St. Elias / Glacier Bay / Tatshenshini-Alsek ", + "Head-Smashed-In Buffalo Jump", + "SGang Gwaay", + "Wood Buffalo National Park", + "Canadian Rocky Mountain Parks ", + "Historic District of Old Qu\u00e9bec", + "Gros Morne National Park", + "Old Town Lunenburg", + "Waterton Glacier International Peace Park ", + "Miguasha National Park", + "Rideau Canal", + "Joggins Fossil Cliffs", + "Landscape of Grand Pr\u00e9", + "Red Bay Basque Whaling Station", + "Mistaken Point", + "Pimachiowin Aki", + "Writing-on-Stone / \u00c1\u00eds\u00ednai\u2019pi", + "Manovo-Gounda St Floris National Park", + "Sangha Trinational ", + "Lakes of Ounianga", + "Ennedi Massif: Natural and Cultural Landscape", + "Rapa Nui National Park", + "Churches of Chilo\u00e9", + "Historic Quarter of the Seaport City of Valpara\u00edso", + "Humberstone and Santa Laura Saltpeter Works", + "Sewell Mining Town", + "Qhapaq \u00d1an, Andean Road System ", + "Settlement and Artificial Mummification of the Chinchorro Culture in the Arica and Parinacota Region", + "Imperial Palaces of the Ming and Qing Dynasties in Beijing and Shenyang", + "Mausoleum of the First Qin Emperor", + "Mogao Caves", + "Mount Taishan", + "Peking Man Site at Zhoukoudian", + "The Great Wall", + "Mount Huangshan", + "Huanglong Scenic and Historic Interest Area", + "Jiuzhaigou Valley Scenic and Historic Interest Area", + "Wulingyuan Scenic and Historic Interest Area", + "Ancient Building Complex in the Wudang Mountains", + "Historic Ensemble of the Potala Palace, Lhasa ", + "Mountain Resort and its Outlying Temples, Chengde", + "Temple and Cemetery of Confucius and the Kong Family Mansion in Qufu", + "Lushan National Park", + "Mount Emei Scenic Area, including Leshan Giant Buddha Scenic Area", + "Ancient City of Ping Yao", + "Classical Gardens of Suzhou", + "Old Town of Lijiang", + "Summer Palace, an Imperial Garden in Beijing", + "Temple of Heaven: an Imperial Sacrificial Altar in Beijing", + "Dazu Rock Carvings", + "Mount Wuyi", + "Ancient Villages in Southern Anhui \u2013 Xidi and Hongcun", + "Imperial Tombs of the Ming and Qing Dynasties", + "Longmen Grottoes", + "Mount Qingcheng and the Dujiangyan Irrigation System", + "Yungang Grottoes", + "Three Parallel Rivers of Yunnan Protected Areas", + "Capital Cities and Tombs of the Ancient Koguryo Kingdom", + "Historic Centre of Macao", + "Sichuan Giant Panda Sanctuaries - Wolong, Mt Siguniang and Jiajin Mountains", + "Yin Xu", + "Kaiping Diaolou and Villages", + "South China Karst", + "Fujian Tulou", + "Mount Sanqingshan National Park", + "Mount Wutai", + "China Danxia", + "Historic Monuments of Dengfeng in The Centre of Heaven and Earth", + "West Lake Cultural Landscape of Hangzhou", + "Chengjiang Fossil Site", + "Site of Xanadu", + "Cultural Landscape of Honghe Hani Rice Terraces", + "Xinjiang Tianshan", + "Silk Roads: the Routes Network of Chang'an-Tianshan Corridor ", + "The Grand Canal", + "Tusi Sites", + "Hubei Shennongjia", + "Zuojiang Huashan Rock Art Cultural Landscape", + "Kulangsu, a Historic International Settlement", + "Qinghai Hoh Xil", + "Fanjingshan", + "Archaeological Ruins of Liangzhu City", + "Migratory Bird Sanctuaries along the Coast of Yellow Sea-Bohai Gulf of China ", + "Quanzhou: Emporium of the World in Song-Yuan China", + "Port, Fortresses and Group of Monuments, Cartagena", + "Los Kat\u00edos National Park", + "Historic Centre of Santa Cruz de Mompox", + "National Archeological Park of Tierradentro", + "San Agust\u00edn Archaeological Park", + "Malpelo Fauna and Flora Sanctuary", + "Coffee Cultural Landscape of Colombia", + "Qhapaq \u00d1an, Andean Road System ", + "Chiribiquete National Park The Maloca of the Jaguar", + "Sangha Trinational", + "Talamanca Range-La Amistad Reserves / La Amistad National Park ", + "Cocos Island National Park", + "Area de Conservaci\u00f3n Guanacaste", + "Precolumbian Chiefdom Settlements with Stone Spheres of the Diqu\u00eds", + "Mount Nimba Strict Nature Reserve ", + "Ta\u00ef National Park", + "Como\u00e9 National Park", + "Historic Town of Grand-Bassam", + "Sudanese style mosques in northern C\u00f4te d\u2019Ivoire", + "Historical Complex of Split with the Palace of Diocletian", + "Old City of Dubrovnik", + "Plitvice Lakes National Park", + "Episcopal Complex of the Euphrasian Basilica in the Historic Centre of Pore\u010d", + "Historic City of Trogir", + "The Cathedral of St James in \u0160ibenik", + "Stari Grad Plain", + "Ste\u0107ci Medieval Tombstone Graveyards ", + "Venetian Works of Defence ", + "Old Havana and its Fortification System", + "Trinidad and the Valley de los Ingenios", + "San Pedro de la Roca Castle, Santiago de Cuba", + "Desembarco del Granma National Park", + "Vi\u00f1ales Valley", + "Archaeological Landscape of the First Coffee Plantations in the South-East of Cuba", + "Alejandro de Humboldt National Park", + "Urban Historic Centre of Cienfuegos", + "Historic Centre of Camag\u00fcey", + "Paphos", + "Painted Churches in the Troodos Region", + "Choirokoitia", + "Historic Centre of \u010cesk\u00fd Krumlov", + "Historic Centre of Prague", + "Historic Centre of Tel\u010d", + "Pilgrimage Church of St John of Nepomuk at Zelen\u00e1 Hora", + "Kutn\u00e1 Hora: Historical Town Centre with the Church of St Barbara and the Cathedral of Our Lady at Sedlec", + "Lednice-Valtice Cultural Landscape", + "Gardens and Castle at Krom\u011b\u0159\u00ed\u017e", + "Hola\u0161ovice Historic Village", + "Litomy\u0161l Castle", + "Holy Trinity Column in Olomouc", + "Tugendhat Villa in Brno", + "Jewish Quarter and St Procopius' Basilica in T\u0159eb\u00ed\u010d", + "Ancient and Primeval Beech Forests of the Carpathians and Other Regions of Europe ", + "Erzgebirge/Kru\u0161noho\u0159\u00ed Mining Region ", + "Landscape for Breeding and Training of Ceremonial Carriage Horses at Kladruby nad Labem", + "The Great Spa Towns of Europe ", + "Complex of Koguryo Tombs", + "Historic Monuments and Sites in Kaesong", + "Virunga National Park ", + "Kahuzi-Biega National Park", + "Garamba National Park", + "Salonga National Park", + "Okapi Wildlife Reserve", + "Jelling Mounds, Runic Stones and Church", + "Roskilde Cathedral", + "Kronborg Castle", + "Ilulissat Icefjord", + "Wadden Sea ", + "Stevns Klint", + "Christiansfeld, a Moravian Church Settlement", + "The par force hunting landscape in North Zealand", + "Kujataa Greenland: Norse and Inuit Farming at the Edge of the Ice Cap", + "Aasivissuit \u2013 Nipisat. Inuit Hunting Ground between Ice and Sea", + "Morne Trois Pitons National Park", + "Colonial City of Santo Domingo", + "City of Quito", + "Gal\u00e1pagos Islands", + "Sangay National Park ", + "Historic Centre of Santa Ana de los R\u00edos de Cuenca", + "Qhapaq \u00d1an, Andean Road System ", + "Abu Mena", + "Ancient Thebes with its Necropolis", + "Historic Cairo", + "Memphis and its Necropolis \u2013 the Pyramid Fields from Giza to Dahshur", + "Nubian Monuments from Abu Simbel to Philae", + "Saint Catherine Area", + "Wadi Al-Hitan (Whale Valley)", + "Joya de Cer\u00e9n Archaeological Site", + "Asmara: A Modernist African City", + "Historic Centre (Old Town) of Tallinn", + "Struve Geodetic Arc ", + "Rock-Hewn Churches, Lalibela", + "Simien National Park", + "Fasil Ghebbi, Gondar Region", + "Aksum", + "Lower Valley of the Awash", + "Lower Valley of the Omo", + "Tiya", + "Harar Jugol, the Fortified Historic Town", + "Konso Cultural Landscape", + "Levuka Historical Port Town", + "Fortress of Suomenlinna", + "Old Rauma", + "Pet\u00e4j\u00e4vesi Old Church", + "Verla Groundwood and Board Mill", + "Bronze Age Burial Site of Sammallahdenm\u00e4ki", + "High Coast / Kvarken Archipelago ", + "Struve Geodetic Arc ", + "Chartres Cathedral", + "Mont-Saint-Michel and its Bay", + "Palace and Park of Versailles", + "Prehistoric Sites and Decorated Caves of the V\u00e9z\u00e8re Valley", + "V\u00e9zelay, Church and Hill", + "Amiens Cathedral", + "Arles, Roman and Romanesque Monuments", + "Cistercian Abbey of Fontenay", + "Palace and Park of Fontainebleau", + "Roman Theatre and its Surroundings and the Triumphal Arch of Orange", + "From the Great Saltworks of Salins-les-Bains to the Royal Saltworks of Arc-et-Senans", + "Abbey Church of Saint-Savin sur Gartempe", + "Gulf of Porto: Calanche of Piana, Gulf of Girolata, Scandola Reserve", + "Place Stanislas, Place de la Carri\u00e8re and Place d'Alliance in Nancy", + "Pont du Gard (Roman Aqueduct)", + "Strasbourg, Grande-\u00cele and Neustadt", + "Cathedral of Notre-Dame, Former Abbey of Saint-R\u00e9mi and Palace of Tau, Reims", + "Paris, Banks of the Seine", + "Bourges Cathedral", + "Historic Centre of Avignon: Papal Palace, Episcopal Ensemble and Avignon Bridge", + "Canal du Midi", + "Historic Fortified City of Carcassonne", + "Pyr\u00e9n\u00e9es - Mont Perdu", + "Historic Site of Lyon", + "Routes of Santiago de Compostela in France", + "Belfries of Belgium and France", + "Jurisdiction of Saint-Emilion", + "The Loire Valley between Sully-sur-Loire and Chalonnes", + "Provins, Town of Medieval Fairs", + "Le Havre, the City Rebuilt by Auguste Perret", + "Ancient and Primeval Beech Forests of the Carpathians ", + "Bordeaux, Port of the Moon", + "Fortifications of Vauban", + "Lagoons of New Caledonia: Reef Diversity and Associated Ecosystems", + "Episcopal City of Albi", + "Pitons, cirques and remparts of Reunion Island", + "Prehistoric Pile Dwellings around the Alps ", + "The Causses and the C\u00e9vennes, Mediterranean agro-pastoral Cultural Landscape", + "Nord-Pas de Calais Mining Basin", + "Decorated Cave of Pont d\u2019Arc, known as Grotte Chauvet-Pont d\u2019Arc, Ard\u00e8che", + "Champagne Hillsides, Houses and Cellars", + "The Climats, terroirs of Burgundy", + "The Architectural Work of Le Corbusier, an Outstanding Contribution to the Modern Movement ", + "Taputapu\u0101tea", + "Cha\u00eene des Puys - Limagne fault tectonic arena", + "French Austral Lands and Seas", + "Cordouan Lighthouse", + "Nice, Winter Resort Town of the Riviera", + "Ecosystem and Relict Cultural Landscape of Lop\u00e9-Okanda", + "Ivindo National Park", + "Kunta Kinteh Island and Related Sites", + "Stone Circles of Senegambia ", + "Gelati Monastery", + "Historical Monuments of Mtskheta", + "Upper Svaneti", + "Colchic Rainforests and Wetlands", + "Aachen Cathedral", + "Speyer Cathedral", + "W\u00fcrzburg Residence with the Court Gardens and Residence Square", + "Pilgrimage Church of Wies", + "Castles of Augustusburg and Falkenlust at Br\u00fchl", + "St Mary's Cathedral and St Michael's Church at Hildesheim", + "Roman Monuments, Cathedral of St Peter and Church of Our Lady in Trier", + "Frontiers of the Roman Empire", + "Hanseatic City of L\u00fcbeck", + "Palaces and Parks of Potsdam and Berlin", + "Abbey and Altenm\u00fcnster of Lorsch", + "Mines of Rammelsberg, Historic Town of Goslar and Upper Harz Water Management System ", + "Maulbronn Monastery Complex", + "Town of Bamberg", + "Collegiate Church, Castle and Old Town of Quedlinburg", + "V\u00f6lklingen Ironworks", + "Messel Pit Fossil Site", + "Bauhaus and its Sites in Weimar, Dessau and Bernau", + "Cologne Cathedral", + "Luther Memorials in Eisleben and Wittenberg", + "Classical Weimar", + "Museumsinsel (Museum Island), Berlin", + "Wartburg Castle", + "Garden Kingdom of Dessau-W\u00f6rlitz", + "Monastic Island of Reichenau", + "Zollverein Coal Mine Industrial Complex in Essen", + "Historic Centres of Stralsund and Wismar", + "Upper Middle Rhine Valley", + "Muskauer Park / Park Mu\u017cakowski ", + "Town Hall and Roland on the Marketplace of Bremen", + "Old town of Regensburg with Stadtamhof", + "Ancient and Primeval Beech Forests of the Carpathians ", + "Berlin Modernism Housing Estates", + "Wadden Sea ", + "Fagus Factory in Alfeld", + "Prehistoric Pile Dwellings around the Alps ", + "Margravial Opera House Bayreuth", + "Bergpark Wilhelmsh\u00f6he", + "Carolingian Westwork and Civitas Corvey", + "Speicherstadt and Kontorhaus District with Chilehaus", + "The Architectural Work of Le Corbusier, an Outstanding Contribution to the Modern Movement ", + "Caves and Ice Age Art in the Swabian Jura", + "Archaeological Border complex of Hedeby and the Danevirke", + "Naumburg Cathedral", + "Erzgebirge/Kru\u0161noho\u0159\u00ed Mining Region ", + "Water Management System of Augsburg", + "Frontiers of the Roman Empire \u2013 The Danube Limes (Western Segment) ", + "Frontiers of the Roman Empire \u2013 The Lower German Limes ", + "Mathildenh\u00f6he Darmstadt", + "ShUM Sites of Speyer, Worms and Mainz", + "The Great Spa Towns of Europe ", + "Forts and Castles, Volta, Greater Accra, Central and Western Regions", + "Asante Traditional Buildings", + "Temple of Apollo Epicurius at Bassae", + "Acropolis, Athens", + "Archaeological Site of Delphi", + "Medieval City of Rhodes", + "Meteora", + "Mount Athos", + "Paleochristian and Byzantine Monuments of Thessalonika", + "Sanctuary of Asklepios at Epidaurus", + "Archaeological Site of Mystras", + "Archaeological Site of Olympia", + "Delos", + "Monasteries of Daphni, Hosios Loukas and Nea Moni of Chios", + "Pythagoreion and Heraion of Samos", + "Archaeological Site of Aigai (modern name Vergina)", + "Archaeological Sites of Mycenae and Tiryns", + "The Historic Centre (Chor\u00e1) with the Monastery of Saint-John the Theologian and the Cave of the Apocalypse on the Island of P\u00e1tmos", + "Old Town of Corfu", + "Archaeological Site of Philippi", + "Antigua Guatemala", + "Tikal National Park", + "Archaeological Park and Ruins of Quirigua", + "Mount Nimba Strict Nature Reserve ", + "National History Park \u2013 Citadel, Sans Souci, Ramiers", + "Historic Centre of Rome, the Properties of the Holy See in that City Enjoying Extraterritorial Rights and San Paolo Fuori le Mura ", + "Vatican City", + "Maya Site of Copan", + "R\u00edo Pl\u00e1tano Biosphere Reserve", + "Budapest, including the Banks of the Danube, the Buda Castle Quarter and Andr\u00e1ssy Avenue", + "Old Village of Holl\u00f3k\u0151 and its Surroundings", + "Caves of Aggtelek Karst and Slovak Karst ", + "Millenary Benedictine Abbey of Pannonhalma and its Natural Environment", + "Hortob\u00e1gy National Park - the Puszta", + "Early Christian Necropolis of P\u00e9cs (Sopianae)", + "Fert\u00f6 / Neusiedlersee Cultural Landscape ", + "Tokaj Wine Region Historic Cultural Landscape", + "\u00deingvellir National Park", + "Surtsey", + "Vatnaj\u00f6kull National Park - Dynamic Nature of Fire and Ice", + "Agra Fort", + "Ajanta Caves", + "Ellora Caves", + "Taj Mahal", + "Group of Monuments at Mahabalipuram", + "Sun Temple, Kon\u00e2rak", + "Kaziranga National Park", + "Keoladeo National Park", + "Manas Wildlife Sanctuary", + "Churches and Convents of Goa", + "Fatehpur Sikri", + "Group of Monuments at Hampi", + "Khajuraho Group of Monuments", + "Elephanta Caves", + "Great Living Chola Temples ", + "Group of Monuments at Pattadakal", + "Sundarbans National Park", + "Nanda Devi and Valley of Flowers National Parks", + "Buddhist Monuments at Sanchi", + "Humayun's Tomb, Delhi", + "Qutb Minar and its Monuments, Delhi", + "Mountain Railways of India", + "Mahabodhi Temple Complex at Bodh Gaya", + "Rock Shelters of Bhimbetka", + "Champaner-Pavagadh Archaeological Park", + "Chhatrapati Shivaji Terminus (formerly Victoria Terminus)", + "Red Fort Complex", + "The Jantar Mantar, Jaipur", + "Western Ghats", + "Hill Forts of Rajasthan", + "Great Himalayan National Park Conservation Area", + "Rani-ki-Vav (the Queen\u2019s Stepwell) at Patan, Gujarat", + "Archaeological Site of Nalanda Mahavihara at Nalanda, Bihar", + "Khangchendzonga National Park", + "The Architectural Work of Le Corbusier, an Outstanding Contribution to the Modern Movement ", + "Historic City of Ahmadabad", + "Victorian Gothic and Art Deco Ensembles of Mumbai", + "Jaipur City, Rajasthan", + "Dholavira: a Harappan City", + "Kakatiya Rudreshwara (Ramappa) Temple, Telangana", + "Borobudur Temple Compounds", + "Komodo National Park", + "Prambanan Temple Compounds", + "Ujung Kulon National Park", + "Sangiran Early Man Site", + "Lorentz National Park", + "Tropical Rainforest Heritage of Sumatra", + "Cultural Landscape of Bali Province: the Subak System as a Manifestation of the Tri Hita Karana Philosophy", + "Ombilin Coal Mining Heritage of Sawahlunto", + "Meidan Emam, Esfahan", + "Persepolis", + "Tchogha Zanbil", + "Takht-e Soleyman", + "Bam and its Cultural Landscape", + "Pasargadae", + "Soltaniyeh", + "Bisotun", + "Armenian Monastic Ensembles of Iran", + "Shushtar Historical Hydraulic System", + "Sheikh Safi al-din Kh\u0101neg\u0101h and Shrine Ensemble in Ardabil", + "Tabriz Historic Bazaar Complex", + "The Persian Garden", + "Gonbad-e Q\u0101bus", + "Masjed-e J\u0101m\u00e9 of Isfahan", + "Golestan Palace", + "Shahr-i Sokhta", + "Cultural Landscape of Maymand", + "Susa", + "Lut Desert", + "The Persian Qanat", + "Historic City of Yazd", + "Sassanid Archaeological Landscape of Fars Region", + "Hyrcanian Forests", + "Cultural Landscape of Hawraman/Uramanat", + "Trans-Iranian Railway", + "Hatra", + "Ashur (Qal'at Sherqat)", + "Samarra Archaeological City", + "Erbil Citadel", + "The Ahwar of Southern Iraq: Refuge of Biodiversity and the Relict Landscape of the Mesopotamian Cities", + "Babylon", + "Br\u00fa na B\u00f3inne - Archaeological Ensemble of the Bend of the Boyne", + "Sceilg Mhich\u00edl", + "Masada", + "Old City of Acre", + "White City of Tel-Aviv \u2013 the Modern Movement", + "Biblical Tels - Megiddo, Hazor, Beer Sheba", + "Incense Route - Desert Cities in the Negev", + "Bah\u00e1\u2019i Holy Places in Haifa and the Western Galilee", + "Sites of Human Evolution at Mount Carmel: The Nahal Me\u2019arot / Wadi el-Mughara Caves", + "Caves of Maresha and Bet-Guvrin in the Judean Lowlands as a Microcosm of the Land of the Caves", + "Necropolis of Bet She\u2019arim: A Landmark of Jewish Renewal", + "Rock Drawings in Valcamonica", + "Church and Dominican Convent of Santa Maria delle Grazie with \u201cThe Last Supper\u201d by Leonardo da Vinci", + "Historic Centre of Rome, the Properties of the Holy See in that City Enjoying Extraterritorial Rights and San Paolo Fuori le Mura * ", + "Historic Centre of Florence", + "Piazza del Duomo, Pisa", + "Venice and its Lagoon", + "Historic Centre of San Gimignano", + "The Sassi and the Park of the Rupestrian Churches of Matera", + "City of Vicenza and the Palladian Villas of the Veneto", + "Crespi d'Adda", + "Ferrara, City of the Renaissance, and its Po Delta ", + "Historic Centre of Naples", + "Historic Centre of Siena", + "Castel del Monte", + "Early Christian Monuments of Ravenna", + "Historic Centre of the City of Pienza", + "The Trulli of Alberobello", + "18th-Century Royal Palace at Caserta with the Park, the Aqueduct of Vanvitelli, and the San Leucio Complex", + "Archaeological Area of Agrigento", + "Archaeological Areas of Pompei, Herculaneum and Torre Annunziata", + "Botanical Garden (Orto Botanico), Padua", + "Cathedral, Torre Civica and Piazza Grande, Modena", + "Costiera Amalfitana", + "Portovenere, Cinque Terre, and the Islands (Palmaria, Tino and Tinetto)", + "Residences of the Royal House of Savoy", + "Su Nuraxi di Barumini", + "Villa Romana del Casale", + "Archaeological Area and the Patriarchal Basilica of Aquileia", + "Cilento and Vallo di Diano National Park with the Archeological Sites of Paestum and Velia, and the Certosa di Padula", + "Historic Centre of Urbino", + "Villa Adriana (Tivoli)", + "Assisi, the Basilica of San Francesco and Other Franciscan Sites", + "City of Verona", + "Isole Eolie (Aeolian Islands)", + "Villa d'Este, Tivoli", + "Late Baroque Towns of the Val di Noto (South-Eastern Sicily)", + "Sacri Monti of Piedmont and Lombardy", + "Monte San Giorgio ", + "Etruscan Necropolises of Cerveteri and Tarquinia", + "Val d'Orcia", + "Syracuse and the Rocky Necropolis of Pantalica", + "Genoa: Le Strade Nuove and the system of the Palazzi dei Rolli", + "Ancient and Primeval Beech Forests of the Carpathians and Other Regions of Europe ", + "Mantua and Sabbioneta", + "Rhaetian Railway in the Albula / Bernina Landscapes ", + "The Dolomites", + "Longobards in Italy. Places of the Power ", + "Prehistoric Pile Dwellings around the Alps ", + "Medici Villas and Gardens in Tuscany", + "Mount Etna", + "Vineyard Landscape of Piedmont: Langhe-Roero and Monferrato", + "Arab-Norman Palermo and the Cathedral Churches of Cefal\u00fa and Monreale", + "Venetian Works of Defence between the 16th and 17th Centuries: Stato da Terra \u2013 Western Stato da Mar ", + "Ivrea, industrial city of the 20th century", + "Le Colline del Prosecco di Conegliano e Valdobbiadene", + "Padua\u2019s fourteenth-century fresco cycles", + "The Great Spa Towns of Europe ", + "The Porticoes of Bologna", + "Blue and John Crow Mountains", + "Buddhist Monuments in the Horyu-ji Area", + "Himeji-jo", + "Shirakami-Sanchi", + "Yakushima", + "Historic Monuments of Ancient Kyoto (Kyoto, Uji and Otsu Cities)", + "Historic Villages of Shirakawa-go and Gokayama", + "Hiroshima Peace Memorial (Genbaku Dome)", + "Itsukushima Shinto Shrine", + "Historic Monuments of Ancient Nara", + "Shrines and Temples of Nikko", + "Gusuku Sites and Related Properties of the Kingdom of Ryukyu", + "Sacred Sites and Pilgrimage Routes in the Kii Mountain Range", + "Shiretoko", + "Iwami Ginzan Silver Mine and its Cultural Landscape", + "Hiraizumi \u2013 Temples, Gardens and Archaeological Sites Representing the Buddhist Pure Land", + "Ogasawara Islands", + "Fujisan, sacred place and source of artistic inspiration", + "Tomioka Silk Mill and Related Sites", + "Sites of Japan\u2019s Meiji Industrial Revolution: Iron and Steel, Shipbuilding and Coal Mining", + "The Architectural Work of Le Corbusier, an Outstanding Contribution to the Modern Movement ", + "Sacred Island of Okinoshima and Associated Sites in the Munakata Region", + "Hidden Christian Sites in the Nagasaki Region", + "Mozu-Furuichi Kofun Group: Mounded Tombs of Ancient Japan", + "Amami-Oshima Island, Tokunoshima Island, Northern part of Okinawa Island, and Iriomote Island", + "Jomon Prehistoric Sites in Northern Japan", + "Old City of Jerusalem and its Walls", + "Petra", + "Quseir Amra", + "Um er-Rasas (Kastrom Mefa'a)", + "Wadi Rum Protected Area", + "Baptism Site \u2018Bethany Beyond the Jordan\u2019(Al-Maghtas)", + "As-Salt - The Place of Tolerance and Urban Hospitality", + "Mausoleum of Khoja Ahmed Yasawi", + "Petroglyphs of the Archaeological Landscape of Tanbaly", + "Saryarka \u2013 Steppe and Lakes of Northern Kazakhstan", + "Silk Roads: the Routes Network of Chang'an-Tianshan Corridor ", + "Western Tien-Shan", + "Lake Turkana National Parks", + "Mount Kenya National Park/Natural Forest", + "Lamu Old Town", + "Sacred Mijikenda Kaya Forests", + "Fort Jesus, Mombasa", + "Kenya Lake System in the Great Rift Valley", + "Thimlich Ohinga Archaeological Site", + "Phoenix Islands Protected Area", + "Sulaiman-Too Sacred Mountain", + "Silk Roads: the Routes Network of Chang'an-Tianshan Corridor ", + "Western Tien-Shan ", + "Town of Luang Prabang", + "Vat Phou and Associated Ancient Settlements within the Champasak Cultural Landscape", + "Megalithic Jar Sites in Xiengkhuang \u2013 Plain of Jars", + "Historic Centre of Riga", + "Struve Geodetic Arc ", + "Anjar", + "Baalbek", + "Byblos", + "Tyre", + "Ouadi Qadisha (the Holy Valley) and the Forest of the Cedars of God (Horsh Arz el-Rab)", + "Maloti-Drakensberg Park ", + "Archaeological Site of Cyrene", + "Archaeological Site of Leptis Magna", + "Archaeological Site of Sabratha", + "Rock-Art Sites of Tadrart Acacus", + "Old Town of Ghadam\u00e8s", + "Vilnius Historic Centre", + "Curonian Spit ", + "Kernav\u0117 Archaeological Site (Cultural Reserve of Kernav\u0117)", + "Struve Geodetic Arc ", + "City of Luxembourg: its Old Quarters and Fortifications", + "Tsingy de Bemaraha Strict Nature Reserve", + "Royal Hill of Ambohimanga", + "Rainforests of the Atsinanana", + "Lake Malawi National Park", + "Chongoni Rock-Art Area", + "Gunung Mulu National Park", + "Kinabalu Park", + "Melaka and George Town, Historic Cities of the Straits of Malacca", + "Archaeological Heritage of the Lenggong Valley", + "Old Towns of Djenn\u00e9", + "Timbuktu", + "Cliff of Bandiagara (Land of the Dogons)", + "Tomb of Askia", + "City of Valletta", + "\u0126al Saflieni Hypogeum", + "Megalithic Temples of Malta ", + "Bikini Atoll Nuclear Test Site", + "Banc d'Arguin National Park", + "Ancient Ksour of Ouadane, Chinguetti, Tichitt and Oualata", + "Aapravasi Ghat", + "Le Morne Cultural Landscape", + "Historic Centre of Mexico City and Xochimilco", + "Historic Centre of Oaxaca and Archaeological Site of Monte Alb\u00e1n", + "Historic Centre of Puebla", + "Pre-Hispanic City and National Park of Palenque", + "Pre-Hispanic City of Teotihuacan", + "Sian Ka'an", + "Historic Town of Guanajuato and Adjacent Mines", + "Pre-Hispanic City of Chichen-Itza", + "Historic Centre of Morelia", + "El Tajin, Pre-Hispanic City", + "Historic Centre of Zacatecas", + "Rock Paintings of the Sierra de San Francisco", + "Whale Sanctuary of El Vizcaino", + "Earliest 16th-Century Monasteries on the Slopes of Popocatepetl", + "Historic Monuments Zone of Quer\u00e9taro", + "Pre-Hispanic Town of Uxmal", + "Hospicio Caba\u00f1as, Guadalajara", + "Archaeological Zone of Paquim\u00e9, Casas Grandes", + "Historic Monuments Zone of Tlacotalpan", + "Archaeological Monuments Zone of Xochicalco", + "Historic Fortified Town of Campeche", + "Ancient Maya City and Protected Tropical Forests of Calakmul, Campeche", + "Franciscan Missions in the Sierra Gorda of Quer\u00e9taro", + "Luis Barrag\u00e1n House and Studio", + "Islands and Protected Areas of the Gulf of California", + "Agave Landscape and Ancient Industrial Facilities of Tequila", + "Central University City Campus of the Universidad Nacional Aut\u00f3noma de M\u00e9xico (UNAM)", + "Monarch Butterfly Biosphere Reserve", + "Protective town of San Miguel and the Sanctuary of Jes\u00fas Nazareno de Atotonilco", + "Camino Real de Tierra Adentro", + "Prehistoric Caves of Yagul and Mitla in the Central Valley of Oaxaca", + "El Pinacate and Gran Desierto de Altar Biosphere Reserve", + "Aqueduct of Padre Tembleque Hydraulic System", + "Archipi\u00e9lago de Revillagigedo", + "Tehuac\u00e1n-Cuicatl\u00e1n Valley: originary habitat of Mesoamerica", + "Nan Madol: Ceremonial Centre of Eastern Micronesia", + "Uvs Nuur Basin ", + "Orkhon Valley Cultural Landscape", + "Petroglyphic Complexes of the Mongolian Altai", + "Great Burkhan Khaldun Mountain and its surrounding sacred landscape", + "Landscapes of Dauria ", + "Natural and Culturo-Historical Region of Kotor", + "Durmitor National Park", + "Ste\u0107ci Medieval Tombstone Graveyards ", + "Venetian Works of Defence between the 16th and 17th Centuries: Stato da Terra \u2013 Western Stato da Mar", + "Medina of Fez", + "Medina of Marrakesh", + "Ksar of Ait-Ben-Haddou", + "Historic City of Meknes", + "Archaeological Site of Volubilis", + "Medina of T\u00e9touan (formerly known as Titawin)", + "Medina of Essaouira (formerly Mogador)", + "Portuguese City of Mazagan (El Jadida)", + "Rabat, Modern Capital and Historic City: a Shared Heritage", + "Island of Mozambique", + "Pyu Ancient Cities", + "Bagan", + "Twyfelfontein or /Ui-//aes", + "Namib Sand Sea", + "Kathmandu Valley", + "Sagarmatha National Park", + "Chitwan National Park", + "Lumbini, the Birthplace of the Lord Buddha", + "Schokland and Surroundings", + "Dutch Water Defence Lines", + "Historic Area of Willemstad, Inner City and Harbour, Cura\u00e7ao", + "Mill Network at Kinderdijk-Elshout", + "Ir.D.F. Woudagemaal (D.F. Wouda Steam Pumping Station)", + "Droogmakerij de Beemster (Beemster Polder)", + "Rietveld Schr\u00f6derhuis (Rietveld Schr\u00f6der House)", + "Wadden Sea ", + "Seventeenth-Century Canal Ring Area of Amsterdam inside the Singelgracht", + "Van Nellefabriek", + "Colonies of Benevolence ", + "Frontiers of the Roman Empire \u2013 The Lower German Limes ", + "Te Wahipounamu \u2013 South West New Zealand ", + "Tongariro National Park ", + "New Zealand Sub-Antarctic Islands", + "Ruins of Le\u00f3n Viejo", + "Le\u00f3n Cathedral", + "Air and T\u00e9n\u00e9r\u00e9 Natural Reserves", + "W-Arly-Pendjari Complex ", + "Historic Centre of Agadez", + "Sukur Cultural Landscape", + "Osun-Osogbo Sacred Grove", + "Natural and Cultural Heritage of the Ohrid region ", + "Ancient and Primeval Beech Forests of the Carpathians and Other Regions of Europe ", + "Bryggen", + "Urnes Stave Church", + "R\u00f8ros Mining Town and the Circumference", + "Rock Art of Alta", + "Vega\u00f8yan \u2013 The Vega Archipelago", + "Struve Geodetic Arc ", + "West Norwegian Fjords \u2013 Geirangerfjord and N\u00e6r\u00f8yfjord", + "Rjukan-Notodden Industrial Heritage Site", + "Bahla Fort", + "Archaeological Sites of Bat, Al-Khutm and Al-Ayn", + "Land of Frankincense", + "Aflaj Irrigation Systems of Oman", + "Ancient City of Qalhat", + "Archaeological Ruins at Moenjodaro", + "Buddhist Ruins of Takht-i-Bahi and Neighbouring City Remains at Sahr-i-Bahlol", + "Taxila", + "Fort and Shalamar Gardens in Lahore", + "Historical Monuments at Makli, Thatta", + "Rohtas Fort", + "Rock Islands Southern Lagoon", + "Birthplace of Jesus: Church of the Nativity and the Pilgrimage Route, Bethlehem", + "Palestine: Land of Olives and Vines \u2013 Cultural Landscape of Southern Jerusalem, Battir", + "Hebron/Al-Khalil Old Town", + "Fortifications on the Caribbean Side of Panama: Portobelo-San Lorenzo", + "Darien National Park", + "Talamanca Range-La Amistad Reserves / La Amistad National Park ", + "Archaeological Site of Panam\u00e1 Viejo and Historic District of Panam\u00e1", + "Coiba National Park and its Special Zone of Marine Protection", + "Kuk Early Agricultural Site", + "Jesuit Missions of La Sant\u00edsima Trinidad de Paran\u00e1 and Jes\u00fas de Tavarangue", + "City of Cuzco", + "Historic Sanctuary of Machu Picchu", + "Chavin (Archaeological Site)", + "Huascar\u00e1n National Park ", + "Chan Chan Archaeological Zone", + "Man\u00fa National Park", + "Historic Centre of Lima ", + "R\u00edo Abiseo National Park", + "Lines and Geoglyphs of Nasca and Palpa", + "Historical Centre of the City of Arequipa", + "Sacred City of Caral-Supe", + "Qhapaq \u00d1an, Andean Road System ", + "Chankillo Archaeoastronomical Complex", + "Baroque Churches of the Philippines", + "Tubbataha Reefs Natural Park", + "Rice Terraces of the Philippine Cordilleras", + "Historic City of Vigan", + "Puerto-Princesa Subterranean River National Park", + "Mount Hamiguitan Range Wildlife Sanctuary", + "Historic Centre of Krakow", + "Wieliczka and Bochnia Royal Salt Mines", + "Auschwitz Birkenau German Nazi Concentration and Extermination Camp (1940-1945)", + "Bialowieza Forest", + "Historic Centre of Warsaw", + "Old City of Zamosc", + "Castle of the Teutonic Order in Malbork", + "Medieval Town of Torun", + "Kalwaria Zebrzydowska: the Mannerist Architectural and Park Landscape Complex and Pilgrimage Park", + "Churches of Peace in Jawor and Swidnica", + "Wooden Churches of Southern Malopolska", + "Muskauer Park / Park Muzakowski ", + "Centennial Hall in Wroclaw", + "Ancient and Primeval Beech Forests of the Carpathians and Other Regions of Europe ", + "Wooden Tserkvas of the Carpathian Region in Poland and Ukraine ", + "Tarnowskie Gory Lead-Silver-Zinc Mine and its Underground Water Management System", + "Krzemionki Prehistoric Striped Flint Mining Region", + "Central Zone of the Town of Angra do Heroismo in the Azores", + "Convent of Christ in Tomar", + "Monastery of Batalha", + "Monastery of the Hieronymites and Tower of Belem in Lisbon", + "Historic Centre of Evora", + "Monastery of Alcobaca", + "Cultural Landscape of Sintra", + "Historic Centre of Oporto, Luiz I Bridge and Monastery of Serra do Pilar", + "Prehistoric Rock Art Sites in the C\u00f4a Valley and Siega Verde ", + "Laurisilva of Madeira", + "Alto Douro Wine Region", + "Historic Centre of Guimar\u00e3es", + "Landscape of the Pico Island Vineyard Culture", + "Garrison Border Town of Elvas and its Fortifications", + "University of Coimbra \u2013 Alta and Sofia", + "Royal Building of Mafra \u2013 Palace, Basilica, Convent, Cerco Garden and Hunting Park (Tapada)", + "Sanctuary of Bom Jesus do Monte in Braga", + "Al Zubarah Archaeological Site", + "Haeinsa Temple Janggyeong Panjeon, the Depositories for the Tripitaka Koreana Woodblocks", + "Jongmyo Shrine", + "Seokguram Grotto and Bulguksa Temple", + "Changdeokgung Palace Complex", + "Hwaseong Fortress", + "Gochang, Hwasun and Ganghwa Dolmen Sites", + "Gyeongju Historic Areas", + "Jeju Volcanic Island and Lava Tubes", + "Royal Tombs of the Joseon Dynasty", + "Historic Villages of Korea: Hahoe and Yangdong", + "Namhansanseong", + "Baekje Historic Areas", + "Sansa, Buddhist Mountain Monasteries in Korea", + "Seowon, Korean Neo-Confucian Academies", + "Getbol, Korean Tidal Flats", + "Struve Geodetic Arc", + "Danube Delta", + "Churches of Moldavia", + "Monastery of Horezu", + "Villages with Fortified Churches in Transylvania ", + "Dacian Fortresses of the Orastie Mountains", + "Historic Centre of Sighi\u015foara", + "Wooden Churches of Maramure\u015f", + "Ancient and Primeval Beech Forests of the Carpathians and Other Regions of Europe", + "Rosia Montana Mining Landscape", + "Historic Centre of Saint Petersburg and Related Groups of Monuments", + "Kizhi Pogost", + "Kremlin and Red Square, Moscow", + "Cultural and Historic Ensemble of the Solovetsky Islands", + "Historic Monuments of Novgorod and Surroundings", + "White Monuments of Vladimir and Suzdal", + "Architectural Ensemble of the Trinity Sergius Lavra in Sergiev Posad", + "Church of the Ascension, Kolomenskoye", + "Virgin Komi Forests", + "Lake Baikal", + "Volcanoes of Kamchatka ", + "Golden Mountains of Altai", + "Western Caucasus", + "Curonian Spit", + "Ensemble of the Ferapontov Monastery", + "Historic and Architectural Complex of the Kazan Kremlin", + "Central Sikhote-Alin", + "Citadel, Ancient City and Fortress Buildings of Derbent", + "Uvs Nuur Basin", + "Ensemble of the Novodevichy Convent", + "Natural System of Wrangel Island Reserve", + "Historical Centre of the City of Yaroslavl", + "Struve Geodetic Arc", + "Putorana Plateau", + "Lena Pillars Nature Park", + "Bolgar Historical and Archaeological Complex", + "Assumption Cathedral and Monastery of the town-island of Sviyazhsk", + "Landscapes of Dauria", + "Churches of the Pskov School of Architecture", + "Petroglyphs of Lake Onega and the White Sea", + "Brimstone Hill Fortress National Park", + "Pitons Management Area", + "San Marino Historic Centre and Mount Titano", + "Hegra Archaeological Site", + "At-Turaif District in ad-Dir'iyah", + "Historic Jeddah, the Gate to Makkah", + "Rock Art in the Hail Region of Saudi Arabia", + "Al-Ahsa Oasis, an Evolving Cultural Landscape", + "Hima Cultural Area", + "Island of Goree", + "Niokolo-Koba National Park", + "Djoudj National Bird Sanctuary", + "Island of Saint-Louis", + "Stone Circles of Senegambia ", + "Saloum Delta", + "Bassari Country: Bassari, Fula and Bedik Cultural Landscapes", + "Stari Ras and Sopocani", + "Studenica Monastery", + "Medieval Monuments in Kosovo", + "Gamzigrad-Romuliana, Palace of Galerius", + "Stecci Medieval Tombstone Graveyards ", + "Aldabra Atoll", + "Vallee de Mai Nature Reserve", + "Singapore Botanic Gardens", + "Historic Town of Bansk\u00e1 \u0160tiavnica and the Technical Monuments in its Vicinity", + "Levoca, Spissky Hrad and the Associated Cultural Monuments", + "Vlkolinec", + "Caves of Aggtelek Karst and Slovak Karst ", + "Bardejov Town Conservation Reserve", + "Ancient and Primeval Beech Forests of the Carpathians and Other Regions of Europe ", + "Wooden Churches of the Slovak part of the Carpathian Mountain Area", + "Frontiers of the Roman Empire \u2013 The Danube Limes (Western Segment) ", + "Skocjan Caves ", + "Ancient and Primeval Beech Forests of the Carpathians and Other Regions of Europe ", + "Prehistoric Pile Dwellings around the Alps ", + "Heritage of Mercury. Almad\u00e9n and Idrija ", + "The works of Jo\u017ee Ple\u010dnik in Ljubljana ", + "East Rennell", + "Fossil Hominid Sites of South Africa", + "iSimangaliso Wetland Park", + "Robben Island", + "Maloti-Drakensberg Park", + "Mapungubwe Cultural Landscape", + "Cape Floral Region Protected Areas", + "Vredefort Dome", + "Richtersveld Cultural and Botanical Landscape", + "Khomani Cultural Landscape", + "Barberton Makhonjwa Mountains", + "Alhambra, Generalife and Albayzin, Granada ", + "Burgos Cathedral", + "Historic Centre of Cordoba ", + "Monastery and Site of the Escurial, Madrid", + "Works of Antoni Gaudi", + "Cave of Altamira and Paleolithic Cave Art of Northern Spain", + "Monuments of Oviedo and the Kingdom of the Asturias ", + "Old Town of \u00c1vila with its Extra-Muros Churches", + "Old Town of Segovia and its Aqueduct", + "Santiago de Compostela (Old Town)", + "Garajonay National Park", + "Historic City of Toledo", + "Mudejar Architecture of Aragon ", + "Old Town of Caceres", + "Cathedral, Alcazar and Archivo de Indias in Seville", + "Old City of Salamanca", + "Poblet Monastery", + "Archaeological Ensemble of Merida", + "Routes of Santiago de Compostela: Camino Frances and Routes of Northern Spain", + "Royal Monastery of Santa Mar\u00eda de Guadalupe", + "Donana National Park", + "Historic Walled Town of Cuenca", + "La Lonja de la Seda de Valencia", + "Las Medulas", + "Palau de la Musica Catalana and Hospital de Sant Pau, Barcelona", + "Pyrenees - Mont Perdu", + "San Millan Yuso and Suso Monasteries", + "Prehistoric Rock Art Sites in the C\u00f4a Valley and Siega Verde", + "Rock Art of the Mediterranean Basin on the Iberian Peninsula", + "University and Historic Precinct of Alcala de Henares", + "Ibiza, Biodiversity and Culture", + "San Crist\u00f3bal de La Laguna", + "Archaeological Ensemble of Tarraco", + "Archaeological Site of Atapuerca", + "Catalan Romanesque Churches of the Vall de Boi", + "Palmeral of Elche", + "Roman Walls of Lugo ", + "Aranjuez Cultural Landscape", + "Renaissance Monumental Ensembles of Ubeda and Baeza", + "Vizcaya Bridge", + "Teide National Park", + "Tower of Hercules", + "Cultural Landscape of the Serra de Tramuntana", + "Heritage of Mercury. Almad\u00e9n and Idrija ", + "Antequera Dolmens Site", + "Caliphate City of Medina Azahara", + "Risco Caido and the Sacred Mountains of Gran Canaria Cultural Landscape", + "Paseo del Prado and Buen Retiro, a landscape of Arts and Sciences", + "Ancient City of Polonnaruwa", + "Ancient City of Sigiriya", + "Sacred City of Anuradhapura", + "Old Town of Galle and its Fortifications", + "Sacred City of Kandy", + "Sinharaja Forest Reserve ", + "Rangiri Dambulla Cave Temple", + "Central Highlands of Sri Lanka", + "Gebel Barkal and the Sites of the Napatan Region", + "Archaeological Sites of the Island of Meroe", + "Sanganeb Marine National Park and Dungonab Bay \u2013 Mukkawar Island Marine National Park", + "Central Suriname Nature Reserve", + "Historic Inner City of Paramaribo", + "Royal Domain of Drottningholm", + "Birka and Hovgarden", + "Engelsberg Ironworks", + "Rock Carvings in Tanum", + "Skogskyrkogarden", + "Hanseatic Town of Visby", + "Church Town of Gammelstad, Lulea", + "Laponian Area", + "Naval Port of Karlskrona", + "Agricultural Landscape of Southern Oland", + "High Coast / Kvarken Archipelago", + "Mining Area of the Great Copper Mountain in Falun", + "Grimeton Radio Station, Varberg", + "Struve Geodetic Arc ", + "Decorated Farmhouses of Halsingland", + "Abbey of St Gall", + "Benedictine Convent of St John at Mustair", + "Old City of Berne", + "Three Castles, Defensive Wall and Ramparts of the Market-Town of Bellinzona", + "Swiss Alps Jungfrau-Aletsch", + "Monte San Giorgio ", + "Ancient and Primeval Beech Forests of the Carpathians", + "Lavaux, Vineyard Terraces", + "Rhaetian Railway in the Albula / Bernina Landscapes ", + "Swiss Tectonic Arena Sardona", + "La Chaux-de-Fonds / Le Locle, Watchmaking Town Planning", + "Prehistoric Pile Dwellings around the Alps ", + "The Architectural Work of Le Corbusier", + "Ancient City of Damascus", + "Ancient City of Bosra", + "Site of Palmyra", + "Ancient City of Aleppo", + "Crac des Chevaliers and Qal\u2019at Salah El-Din", + "Ancient Villages of Northern Syria", + "Proto-urban Site of Sarazm", + "Tajik National Park (Mountains of the Pamirs)", + "Historic City of Ayutthaya", + "Historic Town of Sukhothai and Associated Historic Towns", + "Thungyai-Huai Kha Khaeng Wildlife Sanctuaries", + "Ban Chiang Archaeological Site", + "Dong Phayayen-Khao Yai Forest Complex", + "Kaeng Krachan Forest Complex", + "Koutammakou, the Land of the Batammariba", + "Amphitheatre of El Jem", + "Archaeological Site of Carthage", + "Medina of Tunis", + "Ichkeul National Park", + "Punic Town of Kerkuane and its Necropolis", + "Kairouan", + "Medina of Sousse", + "Dougga / Thugga", + "Goreme National Park and the Rock Sites of Cappadocia", + "Great Mosque and Hospital of Divri\u011fi", + "Historic Areas of Istanbul", + "Hattusha: the Hittite Capital", + "Nemrut Dag", + "Hierapolis-Pamukkale", + "Xanthos-Letoon", + "City of Safranbolu", + "Archaeological Site of Troy", + "Selimiye Mosque and its Social Complex", + "Neolithic Site of Catalhoyuk", + "Bursa and Cumal\u0131k\u0131z\u0131k: the Birth of the Ottoman Empire", + "Pergamon and its Multi-Layered Cultural Landscape", + "Diyarbak\u0131r Fortress and Hevsel Gardens Cultural Landscape", + "Ephesus", + "Archaeological Site of Ani", + "Aphrodisias", + "Gobekli Tepe", + "Arslantepe Mound", + "State Historical and Cultural Park \u201cAncient Merv\u201d", + "Kunya-Urgench", + "Parthian Fortresses of Nisa", + "Bwindi Impenetrable National Park", + "Rwenzori Mountains National Park", + "Tombs of Buganda Kings at Kasubi", + "Kyiv: Saint-Sophia Cathedral and Related Monastic Buildings, Kyiv-Pechersk Lavra", + "L'viv \u2013 the Ensemble of the Historic Centre", + "Struve Geodetic Arc", + "Ancient and Primeval Beech Forests of the Carpathians and Other Regions of Europe ", + "Residence of Bukovinian and Dalmatian Metropolitans", + "Ancient City of Tauric Chersonese and its Chora", + "Wooden Tserkvas of the Carpathian Region in Poland and Ukraine", + "Cultural Sites of Al Ain (Hafit, Hili, Bidaa Bint Saud and Oases Areas)", + "Castles and Town Walls of King Edward in Gwynedd", + "Durham Castle and Cathedral", + "Giant's Causeway and Causeway Coast", + "Ironbridge Gorge", + "St Kilda", + "Stonehenge, Avebury and Associated Sites", + "Studley Royal Park including the Ruins of Fountains Abbey", + "Blenheim Palace", + "City of Bath", + "Frontiers of the Roman Empire ", + "Palace of Westminster and Westminster Abbey including Saint Margaret\u2019s Church", + "Canterbury Cathedral, St Augustine's Abbey, and St Martin's Church", + "Henderson Island", + "Tower of London", + "Gough and Inaccessible Islands ", + "Old and New Towns of Edinburgh", + "Maritime Greenwich", + "Heart of Neolithic Orkney", + "Blaenavon Industrial Landscape", + "Historic Town of St George and Related Fortifications, Bermuda", + "Derwent Valley Mills", + "Dorset and East Devon Coast", + "New Lanark", + "Saltaire", + "Royal Botanic Gardens,", + "Cornwall and West Devon Mining Landscape", + "Pontcysyllte Aqueduct and Canal", + "The Forth Bridge", + "Gorham's Cave Complex", + "The English Lake District", + "Jodrell Bank Observatory", + "The Great Spa Towns of Europe ", + "The Slate Landscape of Northwest Wales", + "Ngorongoro Conservation Area ", + "Ruins of Kilwa Kisiwani and Ruins of Songo Mnara", + "Serengeti National Park", + "Selous Game Reserve", + "Kilimanjaro National Park", + "Stone Town of Zanzibar", + "Kondoa Rock-Art Sites", + "Mesa Verde National Park", + "Yellowstone National Park", + "Everglades National Park", + "Grand Canyon National Park", + "Independence Hall", + "Kluane / Wrangell-St. Elias / Glacier Bay / Tatshenshini-Alsek ", + "Redwood National and State Parks", + "Mammoth Cave National Park", + "Olympic National Park", + "Cahokia Mounds State Historic Site", + "Great Smoky Mountains National Park", + "La Fortaleza and San Juan National Historic Site in Puerto Rico", + "Statue of Liberty", + "Yosemite National Park ", + "Chaco Culture", + "Hawaii Volcanoes National Park ", + "Monticello and the University of Virginia in Charlottesville", + "Taos Pueblo", + "Carlsbad Caverns National Park", + "Waterton Glacier International Peace Park ", + "Papah\u0101naumoku\u0101kea", + "Monumental Earthworks of Poverty Point", + "San Antonio Missions", + "The 20th-Century Architecture of Frank Lloyd Wright", + "Historic Quarter of the City of Colonia del Sacramento", + "Fray Bentos Industrial Landscape", + "The work of engineer Eladio Dieste: Church of Atlantida", + "Itchan Kala", + "Historic Centre of Bukhara", + "Historic Centre of Shakhrisyabz", + "Samarkand Crossroad of Cultures", + "Western Tien-Shan", + "Chief Roi Matas Domain", + "Coro and its Port", + "Canaima National Park", + "Ciudad Universitaria de Caracas", + "Complex of Hue Monuments", + "Ha Long Bay", + "Hoi An Ancient Town", + "My Son Sanctuary", + "Phong Nha-Ke Bang National Park", + "Central Sector of the Imperial Citadel of Thang Long - Hanoi", + "Citadel of the Ho Dynasty", + "Trang An Landscape Complex", + "Old Walled City of Shibam", + "Old City of Sana'a", + "Historic Town of Zabid", + "Socotra Archipelago", + "Mosi-oa-Tunya / Victoria Falls ", + "Mana Pools National Park, Sapi and Chewore Safari Areas", + "Great Zimbabwe National Monument", + "Khami Ruins National Monument", + "Mosi-oa-Tunya / Victoria Falls ", + "Matobo Hills" + ], + "forest-type": [ + "Cloud Forest", + "Dry Conifer Forest", + "Dry Savanna Forest", + "Evergreen Forest", + "Grass Forest", + "Mediterranean Forest", + "Montane Forest", + "Mossy Broad-leaved Forest", + "Mossy Coniferous Forest", + "Mossy Mixed-leaved Forst", + "Mossy Subtropical Forest", + "Mossy Temperate Forest", + "Rainy Savana Forest", + "Savanna Tropical Forest", + "Seasonal Forest", + "Subtropical Broad-leaved Forest", + "Subtropical Coniferous Forest", + "Subtropical Mixed-leaved Forest", + "Temperate Broad-leaved Forest", + "Temperate Mixed-leaved Forest", + "Temperate Needle Forest", + "Tropical Forest", + "Tropical Jungle" + ], + "water": [ + "Dead Sea", + "Caspian Sea", + "Atlantic Ocean", + "Pacific Ocean", + "The Great Lakes", + "Indian Ocean", + "Salton Sea", + "Arctic Ocean", + "Mediterranean Sea", + "Baltic Sea", + "Black Sea", + "Beaufort Sea", + "Sea of Marmara", + "Sea of Azov", + "Red Sea", + "Lake Natron", + "Lake Michigan", + "Lake Superior", + "Great Salt Lake", + "Don Juan Pond", + "Lac Assal", + "Garabogazkol Basin", + "Aral Sea", + "Lacul Sarat", + "Lake Pikrolimni", + "Issyk Kul", + "Lake Techirghiol", + "Qinghai Lake", + "Lough Hyne", + "Little Manitou Lake", + "Great Bitter Lake", + "Lake Urmia", + "Chilika Lake", + "Kati Thanda-Lake Eyre", + "Lake Retba", + "Lake Vanda", + "Lake Tuz", + "Sarygamysh Lake", + "Lake Abert", + "Van Lake", + "Mono Lake", + "Lake Baskunchak", + "Nile", + "Missouri River", + "Lake Baikal", + "Lake Huron", + "Great Bear Lake", + "Lake Tanganyika", + "Mackenzie River", + "Yangtze River", + "Lena River" + ], + "fish": [ + "African glass catfish", + "African lungfish", + "Aholehole", + "Airbreathing catfish", + "Airsac catfish", + "Alaska blackfish", + "Albacore", + "Alewife", + "Alfonsino", + "Algae eater", + "Alligatorfish", + "Alligator gar", + "Amberjack ", + "American sole", + "Amur pike", + "Anchovy", + "Anemonefish", + "Angelfish", + "Angler ", + "Angler catfish", + "Anglerfish", + "Antarctic cod", + "Antarctic icefish", + "Antenna codlet ", + "Arapaima", + "Archerfish ", + "Arctic char", + "Armored gurnard ", + "Armored searobin ", + "Armorhead ", + "Armorhead catfish ", + "Armoured catfish", + "Arowana ", + "Arrowtooth eel ", + "Asiatic glassfish", + "Atka mackerel", + "Atlantic bonito", + "Atlantic cod", + "Atlantic herring", + "Atlantic salmon", + "Atlantic sharpnose shark", + "Atlantic saury", + "Atlantic silverside", + "Australasian salmon ", + "Australian grayling", + "Australian herring", + "Australian lungfish", + "Australian prowfish ", + "Ayu ", + "Baikal oilfish", + "Bala shark", + "Ballan wrasse", + "Bamboo shark", + "Banded killifish", + "Bandfish", + "Banjo", + "Bangus", + "Banjo catfish", + "Barb", + "Barbel", + "Barbeled dragonfish", + "Barbeled houndshark", + "Barbel-less catfish", + "Barfish", + "Barracuda", + "Barracudina", + "Barramundi", + "Barred danio", + "Barreleye", + "Basking shark", + "Bass", + "Basslet", + "Batfish", + "Bat ray", + "Beachsalmon", + "Beaked salmon", + "Beaked sandfish", + "Beardfish", + "Beluga sturgeon", + "Bengal danio", + "Betta", + "Bichir", + "Bicolor goat fish", + "Bigeye", + "Bigeye squaretail", + "Bighead carp", + "Bigmouth buffalo", + "Bigscale", + "Bigscale pomfret", + "Billfish", + "Bitterling", + "Black angelfish", + "Black bass", + "Black dragonfish", + "Blackchin", + "Blackfin Tuna", + "Blackfish", + "Black neon tetra", + "Blacktip reef shark", + "Black mackerel", + "Black scalyfin", + "Black sea bass", + "Black scabbardfish", + "Black swallower", + "Black tetra", + "Black triggerfish", + "Bleak", + "Blenny", + "Blind goby", + "Blind shark", + "Blobfish", + "Blowfish", + "Blue catfish", + "Blue danio", + "Blue-redstripe danio", + "Blue eye trevalla", + "Bluefin tuna", + "Bluefish", + "Bluegill", + "Blue gourami", + "Blue shark", + "Blue triggerfish", + "Blue whiting", + "Bluntnose knifefish", + "Bluntnose minnow", + "Boafish", + "Boarfish", + "Bobtail snipe eel", + "Bocaccio", + "Boga", + "Bombay duck", + "Bonefish", + "Bonito", + "Bonnethead shark", + "Bonnetmouth", + "Bonytail", + "Bonytongue", + "Bowfin", + "Boxfish", + "Bramble shark", + "Bream", + "Brill", + "Bristlemouth", + "Bristlenose catfish", + "Broadband dogfish", + "Bronze corydoras", + "Brook lamprey", + "Brook stickleback", + "Brook trout", + "Brotula", + "Brown trout", + "Buffalo fish", + "Bullhead", + "Bullhead shark", + "Bull shark", + "Bull trout", + "Burbot", + "Bumblebee goby", + "Buri", + "Burma danio", + "Burrowing goby", + "Butterfish", + "Butterfly ray", + "Butterflyfish", + "California flyingfish", + "California halibut", + "Canary rockfish", + "Candiru", + "Candlefish", + "Capelin", + "Cardinalfish", + "Cardinal tetra", + "Carp", + "Carpetshark", + "Carpsucker", + "Catalufa", + "Catfish", + "Catla", + "Cat shark", + "Cavefish", + "Celebes rainbowfish", + "Central mudminnow", + "Chain pickerel", + "Channel bass", + "Channel catfish", + "Char", + "Cherry salmon", + "Chimaera", + "Chinook salmon", + "Cherubfish", + "Chub", + "Chubsucker", + "Chum salmon", + "Cichlid", + "Cisco", + "Climbing catfish", + "Climbing gourami", + "Climbing perch", + "Clingfish", + "Clownfish", + "Clown loach", + "Clown triggerfish", + "Cobbler", + "Cobia", + "Cod", + "Codlet", + "Codling", + "Coelacanth", + "Coffinfish", + "Coho salmon", + "Coley", + "Collared carpetshark", + "Collared dogfish", + "Colorado squawfish", + "Combfish", + "Combtail gourami", + "Combtooth blenny", + "Common carp", + "Common tunny", + "Conger eel", + "Convict blenny", + "Convict cichlid", + "Cookie-cutter shark", + "Coolie loach", + "Cornetfish", + "Cowfish", + "Cownose ray", + "Cow shark", + "Crappie", + "Creek chub", + "Crestfish", + "Crevice kelpfish", + "Croaker", + "Crocodile icefish", + "Crocodile shark", + "Crucian carp", + "Cuckoo wrasse", + "Cusk", + "Cusk-eel", + "Cutlassfish", + "Cutthroat eel", + "Cutthroat trout", + "Dab", + "Dace", + "Daggertooth pike conger", + "Damselfish", + "Danio", + "Darter", + "Dartfish", + "Dealfish", + "Death Valley pupfish", + "Deep sea eel", + "Deep sea smelt", + "Deepwater cardinalfish", + "Deepwater flathead", + "Deepwater stingray", + "Delta smelt", + "Demoiselle", + "Denticle herring", + "Desert pupfish", + "Devario", + "Devil ray", + "Dhufish", + "Discus", + "Dogfish", + "Dogfish shark", + "Dogteeth tetra", + "Dojo loach", + "Dolly Varden trout", + "Dolphin fish", + "Dorab wolf-herring", + "Dorado", + "Dory", + "Dottyback", + "Dragonet", + "Dragonfish", + "Dragon goby", + "Driftfish", + "Driftwood catfish", + "Drum", + "Duckbill", + "Duckbill eel", + "Dusky grouper", + "Dusky shark", + "Dwarf gourami", + "Dwarf loach", + "Eagle ray", + "Earthworm eel", + "Eel", + "Eel cod", + "Eel-goby", + "Eelpout", + "Eeltail catfish", + "Elasmobranch", + "Electric catfish", + "Electric eel", + "Electric knifefish", + "Electric ray", + "Elephant fish", + "Elephantnose fish", + "Elver", + "Ember parrotfish", + "Emerald catfish", + "Emperor", + "Emperor angelfish", + "Emperor bream", + "Escolar", + "Eucla cod", + "Eulachon", + "European chub", + "European eel", + "European flounder", + "European minnow", + "European perch", + "False brotula", + "False cat shark", + "False moray", + "False trevally", + "Fangtooth", + "Fathead sculpin", + "Featherback", + "Fierasfer", + "Fire goby", + "Filefish", + "Finback cat shark", + "Fingerfish", + "Fire bar danio", + "Firefish", + "Flabby whale fish", + "Flagblenny", + "Flagfin", + "Flagfish", + "Flagtail", + "Flashlight fish", + "Flatfish", + "Flathead", + "Flathead catfish", + "Flier", + "Flounder", + "Flying gurnard", + "Flying fish", + "Footballfish", + "Forehead brooder", + "Four-eyed fish", + "French angelfish", + "Freshwater eel", + "Freshwater hatchetfish", + "Freshwater shark", + "Frigate mackerel", + "Frilled shark", + "Frogfish", + "Frogmouth catfish", + "Fusilier fish", + "Galjoen fish", + "Ganges shark", + "Gar", + "Garden eel", + "Garibaldi", + "Garpike", + "Ghost fish", + "Ghost flathead", + "Ghost knifefish", + "Ghost pipefish", + "Ghost shark", + "Ghoul", + "Giant danio", + "Giant gourami", + "Giant sea bass", + "Gibberfish", + "Gila trout", + "Gizzard shad", + "Glass catfish", + "Glassfish", + "Glass knifefish", + "Glowlight danio", + "Goatfish", + "Goblin shark", + "Goby", + "Golden dojo", + "Golden loach", + "Golden shiner", + "Golden trout", + "Goldeye", + "Goldfish", + "Gombessa", + "Goosefish", + "Gopher rockfish", + "Gourami", + "Grass carp", + "Graveldiver", + "Grayling", + "Gray mullet", + "Gray reef shark", + "Great white shark", + "Green swordtail", + "Greeneye", + "Greenling", + "Grenadier", + "Green spotted puffer", + "Ground shark", + "Grouper", + "Grunion", + "Grunt", + "Grunter", + "Grunt sculpin", + "Gudgeon", + "Guitarfish", + "Gulf menhaden", + "Gulper eel", + "Gulper", + "Gunnel", + "Guppy", + "Gurnard", + "Haddock", + "Hagfish", + "Hairtail", + "Hake", + "Halfbeak", + "Halfmoon", + "Halibut", + "Halosaur", + "Hamlet", + "Hammerhead shark", + "Hammerjaw", + "Handfish", + "Hardhead catfish", + "Harelip sucker", + "Hatchetfish", + "Hawkfish", + "Herring", + "Herring smelt", + "Hickory Shad", + "Hillstream loach", + "Hog sucker", + "Hoki", + "Horn shark", + "Horsefish", + "Houndshark", + "Huchen", + "Humuhumunukunukuapua'a", + "Hussar", + "Icefish", + "Ide", + "Ilish, Hilsha", + "Inanga", + "Inconnu", + "Jack", + "Jackfish", + "Jack Dempsey", + "Japanese eel", + "Javelin", + "Jawfish", + "Jellynose fish", + "Jewelfish", + "Jewel tetra", + "Jewfish", + "John Dory", + "Kafue pike", + "Kahawai", + "Kaluga", + "Kanyu", + "Kelp perch", + "Kelpfish", + "Killifish", + "King of the herrings", + "Kingfish", + "King-of-the-salmon", + "Kissing gourami", + "Knifefish", + "Knifejaw", + "Koi", + "Kokanee", + "Kokopu", + "Kuhli loach", + "Labyrinth fish", + "Ladyfish", + "Lake chub", + "Lake trout", + "Lake whitefish", + "Lampfish", + "Lamprey", + "Lancetfish", + "Lanternfish", + "Largemouth bass", + "Leaffish", + "Leatherjacket", + "Lefteye flounder", + "Lemon shark", + "Lemon sole", + "Lemon tetra", + "Lenok", + "Leopard danio", + "Lightfish", + "Limia", + "Lined sole", + "Ling", + "Ling cod", + "Lionfish", + "Livebearer", + "Lizardfish", + "Loach", + "Loach catfish", + "Loach goby", + "Loach minnow", + "Longfin", + "Longfin dragonfish", + "Longfin escolar", + "Longfin smelt", + "Long-finned char", + "Long-finned pike", + "Long-finned sand diver", + "Longjaw mudsucker", + "Longneck eel", + "Longnose chimaera", + "Longnose dace", + "Longnose lancetfish", + "Longnose sucker", + "Longnose whiptail catfish", + "Long-whiskered catfish", + "Loosejaw", + "Lost River sucker", + "Louvar", + "Loweye catfish", + "Luderick", + "Luminous hake", + "Lumpsucker", + "Lungfish", + "Mackerel", + "Mackerel shark", + "Madtom", + "Mahi-mahi", + "Mahseer", + "Mail-cheeked fish", + "Mako shark", + "Mandarinfish", + "Manefish", + "Man-of-war fish", + "Manta ray", + "Marblefish", + "Marine hatchetfish", + "Marlin", + "Masu salmon", + "Medaka", + "Medusafish", + "Megamouth shark", + "Menhaden", + "Merluccid hake", + "Mexican golden trout", + "Midshipman fish", + "Milkfish", + "Minnow", + "Minnow of the deep", + "Modoc sucker", + "Mojarra", + "Mola mola", + "Monkeyface prickleback", + "Monkfish", + "Mooneye", + "Moonfish", + "Moorish idol", + "Mora", + "Moray eel", + "Morid cod", + "Morwong", + "Moses sole", + "Mosquitofish", + "Mouthbrooder", + "Mozambique tilapia", + "Mrigal", + "Mud catfish", + "Mudfish", + "Mud minnow", + "Mudskipper", + "Mudsucker", + "Mullet", + "Mummichog", + "Murray cod", + "Muskellunge", + "Mustache triggerfish", + "Mustard eel", + "Naked-back knifefish", + "Nase", + "Needlefish", + "Neon tetra", + "New World rivuline", + "New Zealand sand diver", + "New Zealand smelt", + "Nibble fish", + "Noodlefish", + "North American darter", + "North American freshwater catfish", + "North Pacific daggertooth", + "Northern anchovy", + "Northern clingfish", + "Northern lampfish", + "Northern pike", + "Northern sea robin", + "Northern squawfish", + "Northern stargazer", + "Notothen", + "Nurseryfish", + "Nurse shark", + "Oarfish", + "Ocean perch", + "Ocean sunfish", + "Oceanic whitetip shark", + "Oilfish", + "Oldwife", + "Old World knifefish", + "Olive flounder", + "Opah", + "Opaleye", + "Orange roughy", + "Orangespine unicorn fish", + "Orangestriped triggerfish", + "Orbicular batfish", + "Orbicular velvetfish", + "Oregon chub", + "Orfe", + "Oriental loach", + "Oscar", + "Owens pupfish", + "Pacific albacore", + "Pacific cod", + "Pacific hake", + "Pacific herring", + "Pacific lamprey", + "Pacific salmon", + "Pacific saury", + "Pacific trout", + "Pacific viperfish", + "Paddlefish", + "Pancake batfish", + "Panga", + "Paradise fish", + "Parasitic catfish", + "Parore", + "Parrotfish", + "Peacock flounder", + "Peamouth", + "Pearleye", + "Pearlfish", + "Pearl danio", + "Pearl perch", + "Pelagic cod", + "Pelican eel", + "Pelican gulper", + "Pencil catfish", + "Pencilfish", + "Pencilsmelt", + "Peppered corydoras", + "Perch", + "Peters elephantnose fish", + "Pickerel", + "Pigfish", + "Pike conger", + "Pike eel", + "Pike", + "Pikeblenny", + "Pikeperch", + "Pilchard", + "Pilot fish", + "Pineapplefish", + "Pineconefish", + "Pink salmon", + "P\u00edntano", + "Pipefish", + "Piranha", + "Pirarucu", + "Pirate perch", + "Plaice", + "Platy", + "Platyfish", + "Pleco", + "Plownose chimaera", + "Poacher", + "Pollyfish", + "Pollock", + "Pomfret", + "Pompano", + "Pompano dolphinfish", + "Ponyfish", + "Popeye catalufa", + "Porbeagle shark", + "Porcupinefish", + "Porgy", + "Port Jackson shark", + "Powen", + "Prickleback", + "Pricklefish", + "Prickly shark", + "Prowfish", + "Pufferfish", + "Pumpkinseed", + "Pupfish", + "Pygmy sunfish", + "Queen danio", + "Queen parrotfish", + "Queen triggerfish", + "Quillback", + "Quillfish", + "Rabbitfish", + "Raccoon butterfly fish", + "Ragfish", + "Rainbow trout", + "Rainbowfish", + "Rasbora", + "Ratfish", + "Rattail", + "Ray", + "Razorback sucker", + "Razorfish", + "Red grouper", + "Red salmon", + "Red snapper", + "Redfin perch", + "Redfish", + "Redhorse sucker", + "Redlip blenny", + "Redmouth whalefish", + "Redtooth triggerfish", + "Red velvetfish", + "Red whalefish", + "Reedfish", + "Reef triggerfish", + "Remora", + "Requiem shark", + "Ribbon eel", + "Ribbon sawtail fish", + "Ribbonfish", + "Rice eel", + "Ricefish", + "Ridgehead", + "Riffle dace", + "Righteye flounder", + "Rio Grande perch", + "River loach", + "River shark", + "River stingray", + "Rivuline", + "Roach", + "Roanoke bass", + "Rock bass", + "Rock beauty", + "Rock cod", + "Rocket danio", + "Rockfish", + "Rockling", + "Rockweed gunnel", + "Rohu", + "Ronquil", + "Roosterfish", + "Ropefish", + "Rough scad", + "Rough sculpin", + "Roughy", + "Roundhead", + "Round herring", + "Round stingray", + "Round whitefish", + "Rudd", + "Rudderfish", + "Ruffe", + "Russian sturgeon", + "Sabalo", + "Sabertooth", + "Saber-toothed blenny", + "Sabertooth fish", + "Sablefish", + "Sacramento blackfish", + "Sacramento splittail", + "Sailfin silverside", + "Sailfish", + "Salamanderfish", + "Salmon", + "Salmon shark", + "Sandbar shark", + "Sandburrower", + "Sand dab", + "Sand diver", + "Sand eel", + "Sandfish", + "Sand goby", + "Sand knifefish", + "Sand lance", + "Sandperch", + "Sandroller", + "Sand stargazer", + "Sand tiger", + "Sand tilefish", + "Sandbar shark", + "Sarcastic fringehead", + "Sardine", + "Sargassum fish", + "Sauger", + "Saury", + "Sawfish", + "Saw shark", + "Sawtooth eel", + "Scabbard fish", + "Scaly dragonfish", + "Scat", + "Scissortail rasbora", + "Scorpionfish", + "Sculpin", + "Scup", + "Sea bass", + "Sea bream", + "Sea catfish", + "Sea chub", + "Sea devil", + "Sea dragon", + "Sea lamprey", + "Sea raven", + "Sea snail", + "Sea toad", + "Seahorse", + "Seamoth", + "Searobin", + "Sevan trout", + "Sergeant major", + "Shad", + "Shark", + "Sharksucker", + "Sharpnose puffer", + "Sheatfish", + "Sheepshead", + "Sheepshead minnow", + "Shiner", + "Shortnose chimaera", + "Shortnose sucker", + "Shovelnose sturgeon", + "Shrimpfish", + "Siamese fighting fish", + "Sillago", + "Silver carp", + "Silver dollar", + "Silver dory", + "Silver hake", + "Silverside", + "Silvertip tetra", + "Sind danio", + "Sixgill ray", + "Sixgill shark", + "Skate", + "Skilfish", + "Skipjack tuna", + "Slender mola", + "Slender snipe eel", + "Sleeper", + "Sleeper shark", + "Slickhead", + "Slimehead", + "Slimy mackerel", + "Slimy sculpin", + "Slipmouth", + "Smalleye squaretail", + "Smalltooth sawfish", + "Smelt", + "Smelt-whiting", + "Smooth dogfish", + "Snailfish", + "Snake eel", + "Snakehead", + "Snake mackerel", + "Snapper", + "Snipe eel", + "Snipefish", + "Snook", + "Snubnose eel", + "Snubnose parasitic eel", + "Sockeye salmon", + "Soldierfish", + "Sole", + "South American darter", + "South American lungfish", + "Southern Dolly Varden", + "Southern flounder", + "Southern hake", + "Southern sandfish", + "Southern smelt", + "Spadefish", + "Spaghetti eel", + "Spanish mackerel", + "Spearfish", + "Speckled trout", + "Spiderfish", + "Spikefish", + "Spinefoot", + "Spiny basslet", + "Spiny dogfish", + "Spiny dwarf catfish", + "Spiny eel", + "Spinyfin", + "Splitfin", + "Spookfish", + "Spotted climbing perch", + "Spotted danio", + "Spottail pinfish", + "Sprat", + "Springfish", + "Squarehead catfish", + "Squaretail", + "Squawfish", + "Squeaker", + "Squirrelfish", + "Staghorn sculpin", + "Stargazer", + "Starry flounder", + "Steelhead", + "Stickleback", + "Stingfish", + "Stingray", + "Stonecat", + "Stonefish", + "Stoneroller minnow", + "Stream catfish", + "Striped bass", + "Striped burrfish", + "Sturgeon", + "Sucker", + "Suckermouth armored catfish", + "Summer flounder", + "Sundaland noodlefish", + "Sunfish", + "Surf sardine", + "Surfperch", + "Surgeonfish", + "Swallower", + "Swamp-eel", + "Swampfish", + "Sweeper", + "Swordfish", + "Swordtail", + "Tadpole cod", + "Tadpole fish", + "Tailor", + "Taimen", + "Tang", + "Tapetail", + "Tarpon", + "Tarwhine", + "Telescopefish", + "Temperate bass", + "Temperate ocean-bass", + "Temperate perch", + "Tench", + "Tenpounder", + "Tenuis", + "Tetra", + "Thorny catfish", + "Thornfish", + "Threadfin", + "Threadfin bream", + "Thread-tail", + "Three spot gourami", + "Threespine stickleback", + "Three-toothed puffer", + "Thresher shark", + "Tidewater goby", + "Tiger barb", + "Tigerperch", + "Tiger shark", + "Tiger shovelnose catfish", + "Tilapia", + "Tilefish", + "Titan triggerfish", + "Toadfish", + "Tommy ruff", + "Tompot blenny", + "Tonguefish", + "Tope", + "Topminnow", + "Torpedo", + "Torrent catfish", + "Torrent fish", + "Trahira", + "Treefish", + "Trevally", + "Triggerfish", + "Triplefin blenny", + "Triplespine", + "Tripletail", + "Tripod fish", + "Trout", + "Trout cod", + "Trout-perch", + "Trumpeter", + "Trumpetfish", + "Trunkfish", + "Tubeblenny", + "Tube-eye", + "Tube-snout", + "Tubeshoulder", + "Tui chub", + "Tuna", + "Turbot", + "Two spotted goby", + "Uaru", + "Unicorn fish", + "Upside-down catfish", + "Vanjaram", + "Velvet belly lanternshark", + "Velvet catfish", + "Velvetfish", + "Vendace", + "Vermilion snapper", + "Vimba", + "Viperfish", + "Wahoo", + "Walking catfish", + "Wallago", + "Walleye", + "Walleye pollock", + "Walu", + "Warmouth", + "Warty angler", + "Waryfish", + "Waspfish", + "Weasel shark", + "Weatherfish", + "Weever", + "Weeverfish", + "Wels catfish", + "Whale catfish", + "Whalefish", + "Whale shark", + "Whiff", + "Whitebait", + "White croaker", + "Whitefish", + "White marlin", + "White shark", + "Whitetip reef shark", + "Whiting", + "Wobbegong", + "Wolf-eel", + "Wolffish", + "Wolf-herring", + "Worm eel", + "Wormfish", + "Wrasse", + "Wrymouth", + "X-ray tetra", + "Yellow-and-black triplefin", + "Yellowback fusilier", + "Yellowbanded perch", + "Yellow bass", + "Yellowedge grouper", + "Yellow-edged moray", + "Yellow-eye mullet", + "Yellowhead jawfish", + "Yellowfin croaker", + "Yellowfin cutthroat trout", + "Yellowfin grouper", + "Yellowfin tuna", + "Yellowfin pike", + "Yellowfin surgeonfish", + "Yellowfin tuna", + "Yellow jack", + "Yellowmargin triggerfish", + "Yellow moray", + "Yellow perch", + "Yellowtail", + "Yellowtail amberjack", + "Yellowtail barracuda", + "Yellowtail clownfish", + "Yellowtail horse mackerel", + "Yellowtail kingfish", + "Yellowtail snapper", + "Yellow tang", + "Yellow weaver", + "Yellowtail catfish", + "Zander", + "Zebra bullhead shark", + "Zebra danio", + "Zebrafish", + "Zebra lionfish", + "Zebra loach", + "Zebra oto", + "Zebra pleco", + "Zebra shark", + "Zebra tilapia" + ], + "artist-botanical": [ + "Marianne North", + "Margaret Mee", + "Elizabeth Blackwell", + "Anne Pratt", + "Pierre Jean Francois Turpin", + "Georg Dionysius Ehret", + "Sydney Parkinson", + "Margaret Flockton", + "Wendy Hollender", + "Ferdinand Bauer", + "Olivia Marie Braida-Chiusano", + "Clarissa Munger Badger", + "Jenny Brasier", + "Giovanna Garzoni", + "Walter Hood Fitch", + "Alexander Marshal", + "Lise Cloquet", + "Pancrace Bessa", + "Claude Aubriet", + "Susannah Blaxill", + "Arthur Harry Church", + "Gillian Condy", + "Emilie von Buttner", + "Johanna Helena Herolt", + "Elsie Louise Shaw", + "Royal Charles Steadman", + "Mary Daisy Arnold", + "Margaret Warriner Buck", + "Ellen Isham Schutt", + "William Jackson Hooker" + ], + "artist-surreal": [ + "Art et Liberte", + "Aase Berg", + "Yutaka Bito", + "Bodo", + "Victor Brauner", + "Emmy Bridgwater", + "Robert Campbell ", + "Giorgio de Chirico", + "William Copley ", + "Joao Artur da Silva", + "Elba Damast", + "Paul Delvaux", + "Karina Eibatova", + "Harold Elliott", + "Max Ernst", + "Ewa Juszkiewicz", + "Agustin Fernandez ", + "Ichiro Fukuzawa", + "Abdel Hadi Al Gazzar", + "Emma Geary", + "Alberto Giacometti", + "Arshile Gorky", + "Jane Graverol", + "Henriette Grindat", + "Moosa Al Halyan", + "Irene Hamoir", + "Gilberto Hernandez Ortega", + "Kati Horna", + "Tetsuya Ishida", + "Alpo Jaakola", + "Frida Kahlo", + "Ida Kar", + "Yuki Katsura", + "Hiroshi Katsuragawa", + "Rita Kernn-Larsen", + "Greta Knutson", + "Harue Koga", + "Wifredo Lam", + "Rene Magritte", + "Joyce Mansour", + "Roberto Matta", + "Lise Mayer", + "Emila Medkova", + "Ahmed Morsi", + "Polly Nor", + "Meret Oppenheim", + "Olga Orozco", + "Kiyoji Otsuji", + "Wolfgang Paalen", + "Ihor Podolchak", + "Joyce Reopel", + "Aminollah Rezaei", + "Guia Risari", + "Erna Rosenstein", + "Pablo Runyan", + "Xanti Schawinsky", + "Eva Svankmajerova", + "Alina Szapocznikow", + "Enrique Tabara", + "Dorothea Tanning", + "Herve Telemaque", + "Blanca Varela", + "Rinat Voligamsi", + "Kikuji Yamashita", + "Ramses Younan", + "Haifa Zangana", + "Nele Zirnite", + "Unica Zurn" + ], + "bird": [ + "Greater White-fronted Goose", + "Snow Goose", + "Cackling Goose", + "Brant", + "Canada Goose", + "Mute Swan", + "Trumpeter Swan", + "Tundra Swan", + "Wood Duck", + "Gadwall", + "American Wigeon", + "American Black Duck", + "Mallard", + "Blue-winged Teal", + "Northern Shoveler", + "Northern Pintail", + "Green-winged Teal", + "Canvasback", + "Redhead", + "Ring-necked Duck", + "Greater Scaup", + "Lesser Scaup", + "Long-tailed Duck", + "Bufflehead", + "Common Goldeneye", + "Hooded Merganser", + "Common Merganser", + "Red-breasted Merganser", + "Ruddy Duck", + "(Ring-necked Pheasant)", + "Ruffed Grouse", + "Wild Turkey", + "(Northern Bobwhite)", + "Common Loon", + "Pied-billed Grebe", + "Horned Grebe", + "Red-neck Grebe", + "Double-crested Cormorant", + "American Bittern", + "Great Blue Heron", + "Great Egret", + "Little Blue Heron", + "Green Heron", + "Black-crowned Night-Heron", + "Turkey Vulture", + "Osprey", + "Bald Eagle", + "Northern Harrier", + "Sharp-shinned Hawk", + "Cooper\u2019s Hawk", + "Northern Goshawk", + "Red-shouldered Hawk", + "Broad-winged Hawk", + "Red-tailed Hawk", + "Rough-legged Hawk", + "Golden Eagle", + "American Kestrel", + "Merlin", + "Peregrine Falcon", + "Virginia Rail", + "Sora", + "American Coot", + "Sandhill Crane", + "Semipalmated Plover", + "Killdeer", + "Spotted Sandpiper", + "Solitary Sandpiper", + "Greater Yellowlegs", + "Lesser Yellowlegs", + "White-rumped Sandpiper", + "Upland Sandpiper", + "Ruddy Turnstone", + "Short-billed Dowitcher", + "Semipalmated Sandpiper", + "Least Sandpiper", + "Baird\u2019s Sandpiper", + "Pectoral Sandpiper", + "Dunlin", + "Wilson\u2019s Snipe", + "American Woodcock", + "Bonaparte\u2019s Gull", + "Laughing Gull", + "Ring-billed Gull", + "Herring Gull", + "Thayer\u2019s Gull", + "Iceland Gull", + "Lesser Black-backed Gull", + "Glaucous Gull", + "Great Black-backed Gull", + "Caspian Tern", + "Black Tern", + "Common Tern", + "Rock Pigeon", + "Mourning Dove", + "Yellow-billed Cuckoo", + "Black-billed Cuckoo", + "Eastern Screech-Owl", + "Great Horned Owl", + "Barred Owl", + "Short-eared Owl", + "Long-eared Owl", + "Northern Saw-whet Owl", + "Common Nighthawk", + "Eastern Whip-poor-will", + "Chimney Swift", + "Ruby-throated Hummingbird", + "Belted Kingfisher", + "Red-headed Woodpecker", + "Red-bellied Woodpecker", + "Yellow-bellied Sapsucker", + "Downy Woodpecker", + "Hairy Woodpecker", + "Black-backed Woodpecker", + "Northern Flicker", + "Pileated Woodpecker", + "Olive-sided Flycatcher", + "Eastern Wood-Pewee", + "Yellow-bellied Flycatcher", + "Alder Flycatcher", + "Willow Flycatcher", + "Least Flycatcher", + "Eastern Phoebe", + "Great Crested Flycatcher", + "Eastern Kingbird", + "Northern Shrike", + "White-eyed Vireo", + "Yellow-throated Vireo", + "Blue-headed Vireo", + "Warbling Vireo", + "Philadelphia Vireo", + "Red-eyed Vireo", + "Blue Jay", + "American Crow", + "Common Raven", + "Horned Lark", + "Northern Rough-winged Swallow", + "Tree Swallow", + "Bank Swallow", + "Barn Swallow", + "Cliff Swallow", + "Purple Martin", + "Black-capped Chickadee", + "Red-breasted Nuthatch", + "White-breasted Nuthatch", + "Brown Creeper", + "Carolina Wren", + "House Wren", + "Winter Wren", + "Marsh Wren", + "Blue-gray Gnatcatcher", + "Golden-crowned Kinglet", + "Ruby-crowned Kinglet", + "Eastern Bluebird", + "Veery", + "Gray-cheeked Thrush", + "Swainson\u2019s Thrush", + "Hermit Thrush", + "Wood Thrush", + "American Robin", + "Gray Catbird", + "Northern Mockingbird", + "Brown Thrasher", + "European Starling", + "American Pipit", + "Cedar Waxwing", + "Lapland Longspur", + "Snow Bunting", + "Ovenbird", + "Northern Waterthrush", + "Blue-winged Warbler", + "Golden-winged Warbler", + "Black-and-white Warbler", + "Tennessee Warbler", + "Orange-crowned Warbler", + "Nashville Warbler", + "Connecticut Warbler", + "Mourning Warbler", + "Common Yellowthroat", + "Hooded Warbler", + "American Redstart", + "Cape May Warbler", + "Northern Parula", + "Magnolia Warbler", + "Bay-breasted Warbler", + "Blackburnian Warbler", + "Yellow Warbler", + "Chestnut-sided Warbler", + "Blackpoll Warbler", + "Black-throated Blue Warbler", + "Palm Warbler", + "Pine Warbler", + "Yellow-rumped Warbler", + "Prairie Warbler", + "Black-throated Green Warbler", + "Canada Warbler", + "Wilson\u2019s Warbler", + "Yellow-breasted Chat", + "Spotted Towhee", + "Eastern Towhee", + "American Tree Sparrow", + "Chipping Sparrow", + "Clay-coloured Sparrow", + "Field Sparrow", + "Vesper Sparrow", + "Savannah Sparrow", + "Grasshopper Sparrow", + "LeConte\u2019s Sparrow", + "Nelson\u2019s Sparrow", + "Fox Sparrow", + "Song Sparrow", + "Lincoln\u2019s Sparrow", + "Swamp Sparrow", + "White-throated Sparrow", + "White-crowned Sparrow", + "Dark-eyed Junco", + "Scarlet Tanager", + "Northern Cardinal", + "Rose-breasted Grosbeak", + "Indigo Bunting", + "Bobolink", + "Red-winged Blackbird", + "Eastern Meadowlark", + "Yellow-headed Blackbird", + "Rusty Blackbird", + "Common Grackle", + "Brown-headed Cowbird", + "Orchard Oriole", + "Baltimore Oriole", + "Purple Finch", + "House Finch", + "Red Crossbill", + "White-winged Crossbill", + "Common Redpoll", + "Pine Siskin", + "American Goldfinch", + "Evening Grosbeak", + "House Sparrow" + ], + "movie": [ + "1917", + "2001: A Space Odyssey", + "A Clockwork Orange", + "A Hidden Life", + "Agasshi", + "American Beauty", + "Apocalypse Now", + "Arrival", + "Avatar", + "Badlands", + "Baraka", + "Barry Lyndon", + "Birdman or (The Unexpected Virtue of Ignorance)", + "Blade Runner", + "Blade Runner 2049", + "C\u2019era una volta il West", + "Children of Men", + "Dances with Wolves", + "Days of Heaven", + "Dersu Uzala", + "Drive", + "Dune", + "Dunkirk", + "El Laberinto del Fauno", + "Eyes Wide Shut", + "Fa yeung nin wa", + "First Man", + "Gravity", + "Heaven\u2019s Gate", + "Her", + "Il buono, il brutto, il cattivo", + "Il gattopardo", + "Inception", + "Interstellar", + "Joker", + "Kill Bill: Vol. 1", + "L\u2019Ann\u00e9e derni\u00e8re \u00e0 Marienbad", + "La Cit\u00e9 des enfants perdus", + "La La Land", + "Lawrence of Arabia", + "Le Fabuleux Destin d\u2019Am\u00e9lie Poulain", + "Le Samoura\u00ef", + "Life of Pi", + "Lost Highway", + "Macbeth", + "Mad Max - Fury Road", + "Melancholia", + "Moonlight", + "Moonrise Kingdom", + "Nie Yinniang", + "No Country for Old Men", + "Nostalghia", + "Once Upon a Time in America", + "Only God Forgives", + "Paris, Texas", + "Persona", + "Phantom Thread", + "Portrait de la jeune fille en feu", + "Ran", + "Roma", + "Ryan\u2019s Daughter", + "Samsara", + "Saving Private Ryan", + "Schindler\u2019s List", + "Se7en", + "Seppuku", + "Shichinin no samurai", + "Sicario", + "Sin City", + "Skyfall", + "Soy Cuba", + "Spring Breakers", + "Stalker", + "Suspiria", + "Taxi Driver", + "The Assassination of Jesse James by the Coward Robert Ford", + "The Dark Knight", + "The Fall", + "The Godfather", + "The Godfather: Part II", + "The Grand Budapest Hotel", + "The Lord of the Rings: The Fellowship of the Ring", + "The Lord of the Rings: The Return of the King", + "The Lost City of Z", + "The Neon Demon", + "The Night of the Hunter", + "The Red Shoes", + "The Revenant", + "The Searchers", + "The Shape of Water", + "The Shining", + "The Thin Red Line", + "The Tree of Life", + "There Will Be Blood", + "Valhalla Rising", + "Vertigo", + "Voyage of Time: Life\u2019s Journey", + "Whiplash", + "Wonder Wheel", + "Zerkalo" + ], + "movie-director": [ + "Akira Kurosawa", + "Alain Resnais", + "Alejandro Gonz\u00e1lez I\u00f1\u00e1rritu", + "Alfonso Cuar\u00f3n", + "Alfred Hitchcock", + "Andrew Dominik", + "Andre\u00ef Tarkovski", + "Ang Lee", + "Barry Jenkins", + "Charles Laughton", + "Christopher Nolan", + "C\u00e9line Sciamma", + "Damien Chazelle", + "Dario Argento", + "David Fincher", + "David Lean", + "David Lynch", + "Denis Villeneuve", + "Emeric Pressburger", + "Ethan Coen", + "Francis Ford Coppola", + "Frank Miller", + "George Miller", + "Guillermo del Toro", + "Harmony Korine", + "Hou Hsiao-Hsien", + "Ingmar Bergman", + "James Cameron", + "James Gray", + "Jean-Pierre Jeunet", + "Jean-Pierre Melville", + "Joel Coen", + "John Ford", + "Justin Kurzel", + "Kevin Costner", + "Lars von Trier", + "Luchino Visconti", + "Marc Caro", + "Martin Scorsese", + "Masaki Kobayashi", + "Michael Cimino", + "Michael Powell", + "Mikhail Kalatozov", + "Nicolas Winding Refn", + "Park Chan-Wook", + "Paul Thomas Anderson", + "Peter Jackson", + "Quentin Tarantino", + "Ridley Scott", + "Robert Rodriguez", + "Ron Fricke", + "Sam Mendes", + "Sergio Leone", + "Spike Jonze", + "Stanley Kubrick", + "Steven Spielberg", + "Tarsem Singh", + "Terrence Malick", + "Todd Phillips", + "Wes Anderson", + "Wim Wenders", + "Wong Kar-Wai", + "Woody Allen" + ], + "comic": [ + "1869 : La Conqu\u00eate de l\u2019espace - Le Ch\u00e2teau des \u00e9toiles : Int\u00e9grale, tome 1", + "300", + "32 d\u00e9cembre - La T\u00e9tralogie du monstre, tome 2", + "Akira", + "Amarillo - Blacksad, tome 5", + "Arctic-Nation - Blacksad, tome 2", + "Au-del\u00e0 des ombres - Thorgal, tome 5", + "Batman : Dark Victory", + "Batman Vol.3: Death of the Family", + "Batman: Arkham Asylum: A Serious House on Serious Earth", + "Batman: Black Mirror Part 2", + "Batman: The Killing Joke", + "Batman: Year One", + "Black Hole : Int\u00e9grale", + "Blacksad : L\u2019Int\u00e9grale", + "Ces jours qui disparaissent", + "Chasseurs de chim\u00e8res - De cape et de crocs, tome 7", + "Chihuahua Pearl - Blueberry, tome 13", + "Ch\u00e2teau de sable", + "Cinq mille kilom\u00e8tres par seconde", + "Cursed Pirate Girl Volume 1", + "Daytripper", + "De la Lune \u00e0 la Terre - De cape et de crocs, tome 10", + "Destins - Peter Pan (Vents d\u2019Ouest), tome 6", + "Et c\u2019est l\u00e0 que mes ennuis ont commenc\u00e9 - Maus, tome 2", + "Fables Volume 1: Legends in Exile", + "Favola di Venezia", + "Grasse Carcasse - Blast, tome 1", + "Guyanacapac - Long John Silver, tome 4", + "G\u00e9n\u00e9ral \u00ab T\u00eate Jaune \u00bb - Blueberry, tome 10", + "Harleen", + "Hoshi Mamoru Inu", + "Jimmy Corrigan: The Smartest Kid on Earth", + "Joker", + "Jolies t\u00e9n\u00e8bres", + "Kililana Song, tome 1", + "Kililana Song, tome 2", + "Kingdom Come", + "L\u2019Affaire Francis Blake - Blake et Mortimer, tome 13", + "L\u2019Autre - Le Rapport de Brodeck, tome 1", + "L\u2019Enfer, le silence - Blacksad, tome 4", + "L\u2019Homme qui tua Lucky Luke - Lucky Luke vu par..., tome 1", + "L\u2019intervista", + "L\u2019\u00c2ge d\u2019or, tome 1", + "L\u2019\u00cele noire - Les Aventures de Tintin, tome 7", + "La Belle Mort - Temudjin, tome 1", + "La Cit\u00e9 du dieu perdu - Thorgal, tome 12", + "La Femme pi\u00e8ge - La Trilogie Nikopol, tome 2", + "La Fille sous la dunette - Les Passagers du vent, tome 1", + "La Marque jaune - Blake et Mortimer, tome 6", + "Lady Vivian Hastings - Long John Silver, tome 1", + "Le Dernier Bastion - Fables, tome 4", + "Le D\u00e9luge - Universal War One, tome 4", + "Le Grand Pouvoir du Chninkel", + "Le Jour du soleil noir - XIII, tome 1", + "Le Labyrinthe d\u2019\u00e9meraude - Long John Silver, tome 3", + "Le Lotus bleu - Les Aventures de Tintin, tome 5", + "Le Mangeur d\u2019or - Undertaker, tome 1", + "Le Ma\u00eetre d\u2019armes - De cape et de crocs, tome 8", + "Le Secret du janissaire - De cape et de crocs, tome 1", + "Le Tr\u00e9sor de Rackham le Rouge - Les Aventures de Tintin, tome 12", + "Le Zoo p\u00e9trifi\u00e9 - Les Carnets de Cerise, tome 1", + "Le bleu est une couleur chaude", + "Les 7 Boules de cristal - Les Aventures de Tintin, tome 13", + "Les Archers - Thorgal, tome 9", + "Les Aventuriers du temps perdu - Azimut, tome 1", + "Les Yeux de Tanatloc - Thorgal, tome 11", + "Marc ou le R\u00e9veil du lion - Le Troisi\u00e8me Testament, tome 1", + "Mauvais genre", + "Mickey et l\u2019Oc\u00e9an perdu - Mickey vu par..., tome 5", + "Neptune - Long John Silver, tome 2", + "Objectif Lune - Les Aventures de Tintin, tome 16", + "On a march\u00e9 sur la Lune - Les Aventures de Tintin, tome 17", + "O\u00f9 le regard ne porte pas..., tome 1", + "Panter", + "Pinocchio", + "Plus ne m\u2019est rien... - Sambre, tome 1", + "Portugal", + "Pourvu que les bouddhistes se trompent - Blast, tome 4", + "Preacher: Book One", + "Preacher: Book Three", + "Quai d\u2019Orsay : Chroniques diplomatiques, tome 1", + "Quelque part entre les ombres - Blacksad, tome 1", + "Saga, tome 3", + "Shangri-la", + "Simples mortels - Beaut\u00e9, tome 3", + "Sioban - Complainte des Landes Perdues, tome 1", + "Superman: Red Son", + "The Absolute Sandman Volume 1", + "The Arrival", + "The Dark Knight Returns", + "The Dark Knight Strikes Again", + "The Shadow One - Sha, tome 1", + "Tintin au Tibet - Les Aventures de Tintin, tome 20", + "Trois ombres", + "Un oc\u00e9an d\u2019amour", + "Un printemps \u00e0 Tchernobyl", + "V pour Vendetta", + "Vol 714 pour Sydney - Les Aventures de Tintin, tome 22", + "\u00c2me rouge - Blacksad, tome 3" + ], + "penciller": [ + "Alex Alice", + "Alex Ross", + "Antoine Carrion", + "Art Spiegelman", + "Aur\u00e9lie Neyret", + "Benjamin Flao", + "Bernard Hislaire (Yslaire)", + "Brecht Evens", + "Brian Bolland", + "Charles Burns", + "Chlo\u00e9 Cruchaudet", + "Chris Bachalo", + "Chris Ware", + "Christophe Blain", + "Craig Hamilton", + "Cyril Pedrosa", + "Dave Johnson", + "Dave McKean", + "David Lloyd", + "David Mazzucchelli", + "Denis Bajram", + "Edgar P. Jacobs", + "Emmanuel Lepage", + "Enki Bilal", + "Fiona Staples", + "Francesco Francavilla", + "Frank Miller", + "Fran\u00e7ois Bourgeon", + "Frederik Peeters", + "Gabriel B\u00e0", + "Georges Remi (Herg\u00e9)", + "Greg Capullo", + "Gregory Panaccione", + "Grzegorz Rosinski", + "Hugo Pratt", + "Jean Giraud (Moebius)", + "Jean-Baptiste Andr\u00e9ae", + "Jean-Luc Masbou", + "Jeremy Bastian", + "Jock", + "Juanjo Guarnido", + "Jul\u2019 Maroh", + "Katsuhiro \u00d4tomo", + "Kerasco\u00ebt", + "Kilian Plunkett", + "Lan Medina", + "Lee Bermejo", + "Linda Medley", + "Malcolm Jones, III", + "Manu Larcenet", + "Manuele Fior", + "Mark Buckingham", + "Mathieu Bablet", + "Mathieu Lauffray", + "Matthieu Bonhomme", + "Michael Zulli", + "Mick Gray", + "Mike Dringenberg", + "Olivier Ledroit", + "Olivier Pont", + "P. Craig Russell", + "Ralph Meyer", + "R\u00e9gis Loisel", + "Sam Keith", + "Shaun Tan", + "Silvio Camboni", + "Steve Dillon", + "Steve Leialoha", + "Steve Parkhouse", + "Stjepan \u0160eji\u0107", + "Takashi Murakami", + "Ted Benoit", + "Tim Sale", + "Timoth\u00e9 Le Boucher", + "Vincent Paronnaud (Winshluss)", + "William Vance" + ], + "album-cover": [ + "AM", + "Abbey Road", + "Abraxas", + "Absolution", + "Aladdin Sane", + "An Awesome Wave", + "Animals", + "Atom Heart Mother", + "Axis: Bold as Love", + "Bitches Brew", + "Black Sabbath", + "Blood Sugar Sex Magik", + "Blue Record", + "Bon Iver", + "Brain Salad Surgery", + "Breakfast in America", + "Californication", + "Cheap Thrills", + "Closer", + "Crime of the Century", + "Currents", + "Dangerous", + "Demon Days", + "Disraeli Gears", + "Dive", + "Electric Ladyland", + "Endtroducing.....", + "Fantaisie militaire", + "Fleet Foxes", + "Fragile", + "From Mars to Sirius", + "Funeral", + "Goo", + "Hail to the Thief: Special Edition", + "Holy Fire", + "Homogenic", + "Houses of the Holy", + "In Rainbows", + "In Utero", + "In the Aeroplane Over the Sea", + "In the Court of the Crimson King", + "Innerspeaker", + "Is This It", + "Just a Poke", + "J\u2019accuse", + "Kid A", + "Led Zeppelin", + "Les Voyages de l\u2019\u00e2me", + "Let It Bleed", + "London Calling (Remastered)", + "Loveless", + "L\u2019\u00c9cole du micro d\u2019argent", + "Maggot Brain", + "Master of Puppets", + "Meddle", + "Mellon Collie and the Infinite Sadness", + "Metaphorical Music", + "Mezzanine", + "Nevermind", + "OK Computer", + "Odessey and Oracle", + "Origin of Symmetry", + "Physical Graffiti", + "Pink Moon", + "Plastic Beach", + "Power, Corruption & Lies", + "Powerslave", + "Psycho Tropical Berlin", + "Rage Against the Machine", + "Random Access Memories", + "Revolver", + "Sgt. Pepper\u2019s Lonely Hearts Club Band", + "Shadows of the Sun", + "Sleeping With Ghosts", + "Somewhere in Time", + "Sticky Fingers", + "Strange Days", + "The Beatles", + "The Dark Side of the Moon", + "The Division Bell", + "The Freewheelin\u2019 Bob Dylan", + "The Golden Age", + "The Low End Theory", + "The Queen Is Dead", + "The Resistance", + "The Rise and Fall of Ziggy Stardust and the Spiders From Mars", + "The Velvet Underground & Nico", + "The Wall", + "Unknown Pleasures", + "Vespertine", + "Violator", + "Viva la Vida or Death and All His Friends", + "Who\u2019s Next", + "Wish You Were Here", + "Wish You Were Here (Live)", + "[Led Zeppelin IV]", + "p\u00b7u\u00b7l\u00b7s\u00b7e (Live)", + "\u00c9cailles de lune", + "\u201cHeroes\u201d", + "\u2026And Justice for All" + ], + "band": [ + "A Tribe Called Quest", + "Alain Bashung", + "Alcest", + "Arcade Fire", + "Arctic Monkeys", + "Baroness", + "Big Brother & The Holding Company", + "Bj\u00f6rk", + "Black Sabbath", + "Bob Dylan", + "Bon Iver", + "Coldplay", + "Cream", + "DJ Shadow", + "Daft Punk", + "David Bowie", + "Depeche Mode", + "Emerson, Lake & Palmer", + "Fleet Foxes", + "Foals", + "Funkadelic", + "Gojira", + "Gorillaz", + "IAM", + "Iron Maiden", + "Joy Division", + "King Crimson", + "La Femme", + "Led Zeppelin", + "Massive Attack", + "Metallica", + "Michael Jackson", + "Miles Davis", + "Muse", + "My Bloody Valentine", + "Neutral Milk Hotel", + "New Order", + "Nick Drake", + "Nico", + "Nirvana", + "Nujabes", + "Pink Floyd", + "Placebo", + "Radiohead", + "Rage Against the Machine", + "Red Hot Chili Peppers", + "Saez", + "Santana", + "Sonic Youth", + "Supertramp", + "Sweet Smoke", + "Tame Impala", + "The Beatles", + "The Clash", + "The Doors", + "The Jimi Hendrix Experience", + "The Rolling Stones", + "The Smashing Pumpkins", + "The Smiths", + "The Strokes", + "The Velvet Underground", + "The Who", + "The Zombies", + "Tycho", + "Ulver", + "Woodkid", + "Yes", + "alt-J" + ] +} \ No newline at end of file