init commit
Browse files- app.py +251 -95
- requirements.txt +4 -1
app.py
CHANGED
@@ -1,42 +1,149 @@
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import gradio as gr
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import numpy as np
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import random
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from diffusers import DiffusionPipeline
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import torch
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pipe.enable_xformers_memory_efficient_attention()
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pipe = pipe.to(device)
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else:
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pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", use_safetensors=True)
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pipe = pipe.to(device)
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def
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if randomize_seed:
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seed =
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examples = [
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"Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
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"An astronaut riding a green horse",
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css="""
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#col-container {
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margin: 0 auto;
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max-width:
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}
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"""
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with gr.Blocks(css=css) as demo:
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with gr.Column(elem_id="col-container"):
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gr.Markdown(f"""
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#
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""")
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with gr.Row():
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run_button = gr.Button("Run", scale=0)
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with gr.Accordion("Advanced Settings", open=False):
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negative_prompt = gr.Text(
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label="Negative prompt",
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max_lines=1,
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placeholder="Enter a negative prompt",
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visible=False,
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)
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seed = gr.Slider(
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label="Seed",
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minimum=0,
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step=1,
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value=0,
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)
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randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
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with gr.Row():
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width = gr.Slider(
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label="Width",
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minimum=256,
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maximum=MAX_IMAGE_SIZE,
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step=32,
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value=512,
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)
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height = gr.Slider(
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label="Height",
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minimum=256,
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maximum=MAX_IMAGE_SIZE,
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step=32,
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value=512,
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)
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with gr.Row():
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)
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num_inference_steps = gr.Slider(
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label="Number of inference steps",
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minimum=1,
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maximum=12,
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step=1,
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value=2,
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)
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gr.Examples(
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examples
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inputs
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)
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)
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import gradio as gr
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import numpy as np
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import random
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import torch
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import requests
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from PIL import Image
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from io import BytesIO
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import time
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# TODO: PNGinfo追加, 使用データの展開(コピーボタン)
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MAX_SEED = np.iinfo(np.int32).max
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MAX_IMAGE_SIZE = 1344
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model_url = { "ImageUltra":"https://api.stability.ai/v2beta/stable-image/generate/ultra",
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"ImageCore":"https://api.stability.ai/v2beta/stable-image/generate/core",
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"StableDiffusion3": "https://api.stability.ai/v2beta/stable-image/generate/sd3"}
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service_url = { "Conservative_Upscale":"https://api.stability.ai/v2beta/stable-image/upscale/conservative",
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"Creative_Upscale":"https://api.stability.ai/v2beta/stable-image/upscale/creative",
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"Erase":"https://api.stability.ai/v2beta/stable-image/edit/erase",
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"Inpaint":"https://api.stability.ai/v2beta/stable-image/edit/inpaint",
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"Outpaint":"https://api.stability.ai/v2beta/stable-image/edit/outpaint",
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"SR":"https://api.stability.ai/v2beta/stable-image/edit/search-and-replace",
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"RMBG":"https://api.stability.ai/v2beta/stable-image/edit/remove-background",
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"Sketch":"https://api.stability.ai/v2beta/stable-image/control/sketch",
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"Structure":"https://api.stability.ai/v2beta/stable-image/control/structure"
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}
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def bytes_to_image(image):
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image = BytesIO(image)
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image = Image.open(image).convert('RGB')
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return image
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def image_to_bytes(image):
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byte_io = BytesIO()
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image.save(byte_io, format='PNG')
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byte_data = byte_io.getvalue()
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return byte_data
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def send_request(url, api_key, file,data):
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response = requests.post(
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url,
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headers={
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"Authorization": f"Bearer {api_key}",
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"Accept": "image/*"
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},
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files=file,
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data=data,
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)
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return response
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def generate(prompt, negative_prompt, seed, mode, submode, input_image, mask, CNstrength, search_prompt, op_left, op_right, op_up, op_down, randomize_seed, aspect, model, sd3_model, preset, api_key):
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if randomize_seed:
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seed = 0
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file = {}
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data = {
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"prompt": prompt,
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"negative_prompt": negative_prompt,
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"output_format": "png",
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"seed": seed,
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"aspect_ratio": aspect
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}
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if input_image is not None:
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file["image"] = image_to_bytes(input_image)
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if mask is not None:
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file["mask"] = image_to_bytes(mask)
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if mode == "Generate":
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file["none"] = ""
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if model == "ImageUltra":
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url = model_url[model]
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elif model == "ImageCore":
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url = model_url[model]
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data["style_preset"] = preset
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elif model == "StableDiffusion3":
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url = model_url[model]
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data["model"] = sd3_model
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else:
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raise ValueError("Invalid model type")
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elif mode == "Upscale":
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if submode == "Conservative":
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url = service_url["Conservative_Upscale"]
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elif submode == "Creative":
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url = service_url["Creative_Upscale"]
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elif mode == "Edit":
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if submode == "Erase":
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url = service_url["Erase"]
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elif submode == "Inpaint":
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url = service_url["Inpaint"]
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elif submode == "Outpaint":
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url = service_url["Outpaint"]
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data["left"] = op_left
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data["right"] = op_right
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data["up"] = op_up
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data["down"] = op_down
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elif submode == "Search and Replace":
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url = service_url["SR"]
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data["search_prompt"] = search_prompt
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elif submode == "Remove Background":
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url = service_url["RMBG"]
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elif mode == "Control":
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data["control_strength"] = CNstrength
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if submode == "Sketch":
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url = service_url["Sketch"]
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elif submode == "Structure":
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url = service_url["Structure"]
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response = send_request(url, api_key, file, data)
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if response.status_code == 200:
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if mode == "Upscale" and submode == "Creative":
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generation_id = response.json().get("id")
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if not generation_id:
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raise Exception("No generation ID returned for creative upscale")
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# Polling for the result
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result_url = f"https://api.stability.ai/v2beta/stable-image/upscale/creative/result/{generation_id}"
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while True:
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result_response = requests.get(
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result_url,
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headers={
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'accept': "image/*",
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'authorization': f"Bearer {api_key}"
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}
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)
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if result_response.status_code == 202:
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print("Generation in-progress, try again in 10 seconds.")
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time.sleep(10)
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elif result_response.status_code == 200:
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print("Generation complete!")
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image = result_response.content
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image = bytes_to_image(image)
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copy_filed_value = f"prompt:{prompt}, negative:{negative_prompt}, mode:{mode}, submode:{submode}"
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return image, seed, copy_filed_value
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else:
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raise Exception(str(result_response.json()))
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else:
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image = response.content
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image = bytes_to_image(image)
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copy_filed_value = f"prompt:{prompt}, negative:{negative_prompt}, mode:{mode}, submode:{submode}"
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return image, seed, copy_filed_value
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else:
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raise Exception(str(response.json()))
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examples = [
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"Astronaut in a jungle, cold color palette, muted colors, detailed, 8k",
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"An astronaut riding a green horse",
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css="""
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#col-container {
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margin: 0 auto;
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max-width: 50vw;
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}
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"""
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def update_mode(mode):
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submode_update = gr.update(choices=["None"], visible=False)
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image_label_update = gr.update(visible=False)
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img_input_update = gr.update(visible=False)
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mask_update = gr.update(visible=False)
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if mode == "Generate":
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submode_update = gr.update(visible=False)
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elif mode == "Upscale":
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submode_update = gr.update(choices=["Conservative", "Creative"],value="Conservative" ,visible=True)
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img_input_update = gr.update(visible=True)
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image_label_update = gr.update(visible=True)
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elif mode == "Edit":
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submode_update = gr.update(choices=["Erase", "Inpaint", "Outpaint", "Search and Replace", "Remove Background"],value="Erase", visible=True)
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img_input_update = gr.update(visible=True)
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image_label_update = gr.update(visible=True)
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elif mode == "Control":
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submode_update = gr.update(choices=["Sketch", "Structure"],value="Sketch", visible=True)
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img_input_update = gr.update(visible=True)
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image_label_update = gr.update(visible=True)
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return submode_update, img_input_update, mask_update, image_label_update
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def update_submode(submode):
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mask = gr.update(visible=False)
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outpaint = gr.update(visible=False)
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cn = gr.update(visible=False)
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search_prompt = gr.update(visible=False)
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if submode in ["Erase", "Inpaint"]:
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mask = gr.update(visible=True)
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else:
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if submode == "Outpaint":
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outpaint = gr.update(visible=True)
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elif submode == "Control":
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cn = gr.update(visible=True)
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elif submode == "Search and Replace":
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search_prompt = gr.update(visible=True)
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return mask, outpaint, cn, search_prompt
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with gr.Blocks(css=css) as demo:
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with gr.Column(elem_id="col-container"):
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gr.Markdown(f"""
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# Demo Stable Image API
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Learn more about the [Stable Diffusion 3 series](https://stability.ai/news/stable-diffusion-3). Try on [Stability AI API](https://platform.stability.ai/docs/api-reference#tag/Generate/paths/~1v2beta~1stable-image~1generate~1sd3/post), [Stable Assistant](https://stability.ai/stable-assistant), or on Discord via [Stable Artisan](https://stability.ai/stable-artisan). Run locally with [ComfyUI](https://github.com/comfyanonymous/ComfyUI) or [diffusers](https://github.com/huggingface/diffusers)
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""")
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with gr.Row():
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api_key = gr.Text(label="API Key", type="password", placeholder="Enter your API key", max_lines=1, container=False)
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with gr.Row():
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model = gr.Dropdown(label="Model", choices=["ImageUltra", "ImageCore", "StableDiffusion3"], value="ImageUltra")
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mode = gr.Dropdown(label="Mode", choices=["Generate", "Upscale", "Edit", "Control"], value="Generate")
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submode = gr.Dropdown(label="Submode", choices=["None"], visible=False, value="None")
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with gr.Row():
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with gr.Column():
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prompt = gr.Text(
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label="Prompt",
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show_label=False,
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max_lines=1,
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placeholder="Enter your prompt",
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container=False,
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)
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search_prompt = gr.Text(
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label="search prompt",
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visible=False,
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show_label=False,
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max_lines=1,
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placeholder="Enter a search prompt",
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)
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run_button = gr.Button("Run", scale=0)
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+
|
243 |
+
with gr.Row():
|
244 |
+
with gr.Column():
|
245 |
+
image_label = gr.Markdown(value = "input image",visible=False)
|
246 |
+
image = gr.Image(type='pil',label="img input", width="20vw", height="20vw",show_label=True,visible=False, interactive=True, container=False)
|
247 |
+
with gr.Column(visible=False) as mask:
|
248 |
+
mask_label = gr.Markdown(value="input mask")
|
249 |
+
mask_input = gr.Image(type='pil',label="mask", width="20vw", height="20vw", show_label=True, interactive=True, container=False)
|
250 |
+
|
251 |
+
with gr.Row():
|
252 |
+
result = gr.Image(label="Result", width="20vw", height="20%")
|
253 |
|
254 |
with gr.Accordion("Advanced Settings", open=False):
|
|
|
255 |
negative_prompt = gr.Text(
|
256 |
label="Negative prompt",
|
257 |
max_lines=1,
|
258 |
placeholder="Enter a negative prompt",
|
|
|
259 |
)
|
|
|
260 |
seed = gr.Slider(
|
261 |
label="Seed",
|
262 |
minimum=0,
|
|
|
264 |
step=1,
|
265 |
value=0,
|
266 |
)
|
267 |
+
CN_strength = gr.Slider(label="Control Strength", minimum=0, maximum=1, step=0.01, value=0.5, visible=False)
|
268 |
randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
269 |
with gr.Row():
|
270 |
+
aspect = gr.Radio(choices=["1:1", "16:9", "21:9", "2:3", "3:2", "4:5", "5:4", "9:16", "9:21"], label="Aspect raito", value="1:1")
|
271 |
+
style_preset = gr.Radio(choices=["3d-model", "analog-film", "anime", "cinematic", "comic-book", "digital-art", "enhance", "fantasy-art", "isometric", "line-art", "low-poly", "modeling-compound", "neon-punk", "origami", "photographic", "pixel-art", "tile-texture"], label="Style_preset", value="anime", info="This parameter is only available for ImageCore model.")
|
272 |
+
sd3_model = gr.Dropdown(label="SD3 Model Size", choices=["sd3-medium", "sd3-large", "sd3-large-turbo"], value="sd3-medium")
|
273 |
+
with gr.Row(visible=False) as outpaint_scale:
|
274 |
+
paint = gr.Markdown(value = "Outpain Scale")
|
275 |
+
op_left = gr.Slider(label="left", minimum=0, maximum=2000, step=4, value=200)
|
276 |
+
op_right = gr.Slider(label="right", minimum=0, maximum=2000, step=4, value=200)
|
277 |
+
op_up = gr.Slider(label="up", minimum=0, maximum=2000, step=4, value=200)
|
278 |
+
op_down = gr.Slider(label="down", minimum=0, maximum=2000, step=4, value=200)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
279 |
gr.Examples(
|
280 |
+
examples=examples,
|
281 |
+
inputs=[prompt]
|
282 |
)
|
283 |
|
284 |
+
copy_filed = gr.TextArea(
|
285 |
+
value="",
|
286 |
+
label="Copy Field",
|
287 |
+
max_lines=1,
|
288 |
+
placeholder="Copy the field",
|
289 |
+
show_copy_button=True,
|
290 |
+
container=False)
|
291 |
+
|
292 |
+
gr.on(
|
293 |
+
triggers=[run_button.click, prompt.submit, negative_prompt.submit],
|
294 |
+
fn=generate,
|
295 |
+
inputs=[prompt, negative_prompt, seed, mode, submode, image, mask_input, CN_strength, search_prompt, op_left, op_right, op_up, op_down, randomize_seed, aspect, model, sd3_model, style_preset, api_key],
|
296 |
+
outputs=[result, seed, copy_filed]
|
297 |
)
|
298 |
|
299 |
+
mode.change(fn=update_mode, inputs=mode, outputs=[submode, image, mask, image_label])
|
300 |
+
submode.change(fn=update_submode, inputs=submode, outputs=[mask,outpaint_scale,CN_strength,search_prompt])
|
301 |
+
|
302 |
+
demo.launch()
|
requirements.txt
CHANGED
@@ -3,4 +3,7 @@ diffusers
|
|
3 |
invisible_watermark
|
4 |
torch
|
5 |
transformers
|
6 |
-
xformers
|
|
|
|
|
|
|
|
3 |
invisible_watermark
|
4 |
torch
|
5 |
transformers
|
6 |
+
xformers
|
7 |
+
numpy==2.0.0
|
8 |
+
Pillow==10.3.0
|
9 |
+
Requests==2.32.3
|