52 lines
2.0 KiB
Python
52 lines
2.0 KiB
Python
from diffusers import StableDiffusionControlNetPipeline, ControlNetModel, UniPCMultistepScheduler
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import torch
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from controlnet_aux import OpenposeDetector
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from diffusers.utils import load_image
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from gradio.themes.utils import sizes
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import gradio as gr
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theme = gr.themes.Default(radius_size=sizes.radius_none).set(
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block_label_text_color = '#4D63FF',
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block_title_text_color = '#4D63FF',
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button_primary_text_color = '#4D63FF',
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button_primary_background_fill='#FFFFFF',
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button_primary_border_color='#4D63FF',
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button_primary_background_fill_hover='#EDEFFF',
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)
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openpose = OpenposeDetector.from_pretrained('lllyasviel/ControlNet')
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controlnet = ControlNetModel.from_pretrained(
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"lllyasviel/sd-controlnet-openpose", torch_dtype=torch.float16
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)
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pipe = StableDiffusionControlNetPipeline.from_pretrained(
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"runwayml/stable-diffusion-v1-5", controlnet=controlnet, safety_checker=None, torch_dtype=torch.float16
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)
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def image2image(image, prompt):
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image = openpose(image)
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pipe.scheduler = UniPCMultistepScheduler.from_config(pipe.scheduler.config)
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pipe.enable_xformers_memory_efficient_attention()
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pipe.enable_model_cpu_offload()
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image = pipe(prompt, image, num_inference_steps=20).images[0]
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return image
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with gr.Blocks(theme=theme, css="footer {visibility: hidden}") as demo:
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gr.Markdown("""
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<div align='center' ><font size='60'>根据姿势生成图片</font></div>
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""")
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with gr.Row():
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with gr.Column():
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image = gr.Image(label="图片", type='pil')
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prompt = gr.Textbox(label="提示词")
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with gr.Row():
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button = gr.Button("提交", variant="primary")
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box2 = gr.Image(label="图片")
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button.click(fn=image2image, inputs=[image, prompt], outputs=box2)
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examples = gr.Examples(examples=[['pose.png', 'chef in the kitchen']], inputs=[image, prompt], label="例子")
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if __name__ == "__main__":
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demo.queue(concurrency_count=3).launch(server_name = "0.0.0.0")
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