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import os |
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import torch |
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from nodes import MAX_RESOLUTION |
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import torchvision.transforms.v2 as T |
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from .utils import FONTS_DIR |
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class DrawText: |
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@classmethod |
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def INPUT_TYPES(s): |
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return { |
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"required": { |
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"text": ("STRING", { "multiline": True, "dynamicPrompts": True, "default": "Hello, World!" }), |
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"font": (sorted([f for f in os.listdir(FONTS_DIR) if f.endswith('.ttf') or f.endswith('.otf')]), ), |
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"size": ("INT", { "default": 56, "min": 1, "max": 9999, "step": 1 }), |
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"color": ("STRING", { "multiline": False, "default": "#FFFFFF" }), |
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"background_color": ("STRING", { "multiline": False, "default": "#00000000" }), |
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"shadow_distance": ("INT", { "default": 0, "min": 0, "max": 100, "step": 1 }), |
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"shadow_blur": ("INT", { "default": 0, "min": 0, "max": 100, "step": 1 }), |
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"shadow_color": ("STRING", { "multiline": False, "default": "#000000" }), |
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"horizontal_align": (["left", "center", "right"],), |
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"vertical_align": (["top", "center", "bottom"],), |
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"offset_x": ("INT", { "default": 0, "min": -MAX_RESOLUTION, "max": MAX_RESOLUTION, "step": 1 }), |
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"offset_y": ("INT", { "default": 0, "min": -MAX_RESOLUTION, "max": MAX_RESOLUTION, "step": 1 }), |
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"direction": (["ltr", "rtl"],), |
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}, |
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"optional": { |
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"img_composite": ("IMAGE",), |
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}, |
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} |
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RETURN_TYPES = ("IMAGE", "MASK",) |
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FUNCTION = "execute" |
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CATEGORY = "essentials/text" |
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def execute(self, text, font, size, color, background_color, shadow_distance, shadow_blur, shadow_color, horizontal_align, vertical_align, offset_x, offset_y, direction, img_composite=None): |
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from PIL import Image, ImageDraw, ImageFont, ImageColor, ImageFilter |
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font = ImageFont.truetype(os.path.join(FONTS_DIR, font), size) |
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lines = text.split("\n") |
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if direction == "rtl": |
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lines = [line[::-1] for line in lines] |
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text_width = max(font.getbbox(line)[2] for line in lines) |
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line_height = font.getmask(text).getbbox()[3] + font.getmetrics()[1] |
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text_height = line_height * len(lines) |
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if img_composite is not None: |
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img_composite = T.ToPILImage()(img_composite.permute([0,3,1,2])[0]).convert('RGBA') |
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width = img_composite.width |
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height = img_composite.height |
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image = Image.new('RGBA', (width, height), color=background_color) |
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else: |
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width = text_width |
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height = text_height |
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background_color = ImageColor.getrgb(background_color) |
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image = Image.new('RGBA', (width + shadow_distance, height + shadow_distance), color=background_color) |
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image_shadow = None |
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if shadow_distance > 0: |
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image_shadow = image.copy() |
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for i, line in enumerate(lines): |
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line_width = font.getbbox(line)[2] |
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if horizontal_align == "left": |
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x = 0 |
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elif horizontal_align == "center": |
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x = (width - line_width) / 2 |
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elif horizontal_align == "right": |
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x = width - line_width |
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if vertical_align == "top": |
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y = 0 |
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elif vertical_align == "center": |
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y = (height - text_height) / 2 |
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elif vertical_align == "bottom": |
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y = height - text_height |
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x += offset_x |
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y += i * line_height + offset_y |
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draw = ImageDraw.Draw(image) |
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draw.text((x, y), line, font=font, fill=color) |
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if image_shadow is not None: |
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draw = ImageDraw.Draw(image_shadow) |
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draw.text((x + shadow_distance, y + shadow_distance), line, font=font, fill=shadow_color) |
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if image_shadow is not None: |
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image_shadow = image_shadow.filter(ImageFilter.GaussianBlur(shadow_blur)) |
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image = Image.alpha_composite(image_shadow, image) |
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mask = T.ToTensor()(image).unsqueeze(0).permute([0,2,3,1]) |
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mask = mask[:, :, :, 3] if mask.shape[3] == 4 else torch.ones_like(mask[:, :, :, 0]) |
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if img_composite is not None: |
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image = Image.alpha_composite(img_composite, image) |
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image = T.ToTensor()(image).unsqueeze(0).permute([0,2,3,1]) |
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return (image[:, :, :, :3], mask,) |
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TEXT_CLASS_MAPPINGS = { |
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"DrawText+": DrawText, |
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} |
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TEXT_NAME_MAPPINGS = { |
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"DrawText+": "🔧 Draw Text", |
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} |