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Update app.py
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app.py
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@@ -61,7 +61,7 @@ with gr.Blocks(css=css) as demo:
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</div>
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<p>
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Demo for CycleDiffusion with Stable Diffusion. <br>
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<a href="https://huggingface.co/docs/diffusers/main/en/api/pipelines/cycle_diffusion"
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</p>
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<p>You can skip the queue in the colab: <a href="https://colab.research.google.com/gist/ChenWu98/0aa4fe7be80f6b45d3d055df9f14353a/copy-of-fine-tuned-diffusion-gradio.ipynb"><img data-canonical-src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab" src="https://colab.research.google.com/assets/colab-badge.svg"></a></p>
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Running on <b>{device}</b>{(" in a <b>Google Colab</b>." if is_colab else "")}
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@@ -112,13 +112,12 @@ with gr.Blocks(css=css) as demo:
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ex = gr.Examples(
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[
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["An astronaut riding a horse", "An astronaut riding an elephant", 1, 2, 100,
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["A black colored car.", "A blue colored car.", 1, 2, 100,
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["An aerial view of autumn scene.", "An aerial view of winter scene.", 1, 5, 100,
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["A green apple and a black backpack on the floor.", "A red apple and a black backpack on the floor.", 1, 7, 100,
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],
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[source_prompt, target_prompt, source_guidance_scale, guidance_scale, num_inference_steps,
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width, height, seed, img, strength],
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image_out, inference, cache_examples=False)
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gr.Markdown('''
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</div>
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<p>
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Demo for CycleDiffusion with Stable Diffusion. <br>
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<a href="https://huggingface.co/docs/diffusers/main/en/api/pipelines/cycle_diffusion">𧨠Pipeline doc</a> | <a href="https://arxiv.org/abs/2210.05559">π Paper link</a>
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</p>
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<p>You can skip the queue in the colab: <a href="https://colab.research.google.com/gist/ChenWu98/0aa4fe7be80f6b45d3d055df9f14353a/copy-of-fine-tuned-diffusion-gradio.ipynb"><img data-canonical-src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab" src="https://colab.research.google.com/assets/colab-badge.svg"></a></p>
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Running on <b>{device}</b>{(" in a <b>Google Colab</b>." if is_colab else "")}
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ex = gr.Examples(
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[
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["An astronaut riding a horse", "An astronaut riding an elephant", 1, 2, 100, 0, "images/astronaut_horse.png", 0.8],
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["A black colored car.", "A blue colored car.", 1, 2, 100, 0, "images/black_car.png", 0.85],
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["An aerial view of autumn scene.", "An aerial view of winter scene.", 1, 5, 100, 0, "images/mausoleum.png", 0.9],
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["A green apple and a black backpack on the floor.", "A red apple and a black backpack on the floor.", 1, 7, 100, 0, "images/apple_bag.png", 0.9],
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],
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[source_prompt, target_prompt, source_guidance_scale, guidance_scale, num_inference_steps, seed, img, strength],
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image_out, inference, cache_examples=False)
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gr.Markdown('''
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