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Create README.md

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+ ---
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+ # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
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+ # Doc / guide: https://huggingface.co/docs/hub/model-cards
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+ {}
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ copy/paste/save as inference.py
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+ ```
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+ from diffusers import DiffusionPipeline
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+ import argparse
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+
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+ # Parse command line arguments
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+ parser = argparse.ArgumentParser(description='Generate an image using a Hugging Face diffusion model')
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+ parser.add_argument('--model', type=str, default="uisikdag/ddpm-few-shot-art-painting",
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+ help='Hugging Face model name/path')
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+ parser.add_argument('--steps', type=int, default=500,
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+ help='Number of inference steps')
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+ args = parser.parse_args()
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+
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+ # Load the model
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+ generator = DiffusionPipeline.from_pretrained(args.model).to("cuda")
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+
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+ # Generate image
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+ image = generator(num_inference_steps=args.steps).images[0]
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+
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+ # Save the image with model name in the filename
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+ output_filename = f"output_{args.model.split('/')[-1]}.png"
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+ image.save(output_filename)
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+ print(f"Image saved as {output_filename}")
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+ ```
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+ python inference.py