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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 StableDiffusionPipeline
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import torch
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# Load the model (Stable Diffusion XL)
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pipe = StableDiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0")
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pipe.to("cpu") # CPU mode (free tier compatible)
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# Function to generate an image
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def generate_image(prompt):
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image = pipe(prompt).images[0]
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return image
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# Gradio interface
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demo = gr.Interface(
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fn=generate_image,
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inputs=gr.Textbox(label="Enter your image prompt"),
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outputs="image",
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title="Stable Diffusion XL (Free CPU Version)",
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description="Generate images for free using CPU mode on Hugging Face"
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)
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demo.launch()
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