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Create app.py
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app.py
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import gradio as gr
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from diffusers import AutoPipelineForText2Image
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import torch
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pipeline = AutoPipelineForText2Image.from_pretrained("sd-dreambooth-library/herge-style", torch_dtype=torch.float16).to("cuda")
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def generate_image(prompt):
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pipeline.enable_freeu(s1=0.6, s2=0.4, b1=1.1, b2=1.2)
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image = pipeline(prompt).images[0]
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return image.permute(1, 2, 0).cpu().numpy()
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title = "DreamBooth Gradio App"
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description = "Generate images based on prompts using the DreamBooth model."
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prompt_textbox = gr.Textbox(lines=3, label="Prompt")
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image_output = gr.Image(draw_fn=generate_image, label="Generated Image")
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gr.Interface(fn=generate_image, inputs=prompt_textbox, outputs=image_output, title=title, description=description).launch()
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