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src/diffusers/pipelines/sana/pipeline_sana_sprint_img2img.py

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... "Efficient-Large-Model/Sana_Sprint_1.6B_1024px_diffusers", torch_dtype=torch.bfloat16
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... )
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>>> pipe.to("cuda")
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>>> image = load_image(
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... "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/penguin.png")
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)

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