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Update app.py
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app.py
CHANGED
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@@ -74,12 +74,7 @@ def infer(input_image, prompt, seed=42, randomize_seed=False, guidance_scale=2.5
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num_inference_steps=steps,
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generator=torch.Generator().manual_seed(seed),
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).images[0]
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return image, seed
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@spaces.GPU
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def infer_example(input_image, prompt):
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image, seed, _ = infer(input_image, prompt)
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return image, seed
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css="""
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#col-container {
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@@ -135,8 +130,7 @@ Image editing and manipulation model guidance-distilled from FLUX.1 Kontext [pro
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)
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with gr.Column():
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result = gr.
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reuse_button = gr.Button("Reuse this image", visible=False)
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examples = gr.Examples(
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@@ -147,7 +141,7 @@ Image editing and manipulation model guidance-distilled from FLUX.1 Kontext [pro
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],
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inputs=[input_image, prompt],
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outputs=[result, seed],
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fn=
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cache_examples="lazy"
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)
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@@ -157,10 +151,5 @@ Image editing and manipulation model guidance-distilled from FLUX.1 Kontext [pro
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inputs = [input_image, prompt, seed, randomize_seed, guidance_scale, steps],
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outputs = [result, seed, reuse_button]
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)
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reuse_button.click(
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fn = lambda image: image,
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inputs = [result],
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outputs = [input_image]
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)
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demo.launch(mcp_server=True)
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num_inference_steps=steps,
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generator=torch.Generator().manual_seed(seed),
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).images[0]
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return (input_image, image), seed
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css="""
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#col-container {
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)
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with gr.Column():
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result = gr.ImageSlider(label="Result", show_label=False, interactive=False)
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examples = gr.Examples(
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],
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inputs=[input_image, prompt],
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outputs=[result, seed],
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fn=infer,
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cache_examples="lazy"
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)
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inputs = [input_image, prompt, seed, randomize_seed, guidance_scale, steps],
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outputs = [result, seed, reuse_button]
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)
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demo.launch(mcp_server=True)
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