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Runtime error
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f39f62b
1
Parent(s):
1f74d50
Update app.py
Browse files
app.py
CHANGED
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@@ -71,38 +71,39 @@ with gr.Blocks() as app:
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refined_result = gr.Image(interactive=False, label="Refined Generated Image")
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post_processed_result = gr.Image(interactive=False, label="Post-Processed Image")
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with gr.
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with gr.TabItem("Custom color palette"):
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enable_custom_palette = gr.Checkbox(label="Enable", value=False)
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palette_image = gr.Image(label="Color palette image", type="pil")
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palette_size_custom = gr.Slider(label="Palette Size", minimum=1, maximum=256, step=1, value=16)
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dither_methods_custom = gr.Radio(choices=["None", "Floyd-Steinberg"], label="Colors Dither Method")
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gallery.select(update_selection, outputs=[prompt, selected_info, selected_state])
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prompt.submit(fn=run_lora, inputs=[prompt, selected_state], outputs=[result, refined_result])
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refined_result = gr.Image(interactive=False, label="Refined Generated Image")
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post_processed_result = gr.Image(interactive=False, label="Post-Processed Image")
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with gr.Blocks():
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with gr.Accordion(label="Pixel art", open=False):
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enabled = gr.Checkbox(label="Enable", value=False)
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with gr.Row():
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downscale = gr.Slider(label="Downscale", minimum=1, maximum=32, step=2, value=8)
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need_rescale = gr.Checkbox(label="Rescale to original size", value=True)
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with gr.Tabs():
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with gr.TabItem("Color"):
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enable_color_limit = gr.Checkbox(label="Enable", value=False)
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palette_size_color = gr.Slider(label="Palette Size", minimum=1, maximum=256, step=1, value=16)
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quantization_methods_color = gr.Radio(choices=["Median Cut", "Maximum Coverage", "Fast Octree"], label="Colors Quantization Method")
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dither_methods_color = gr.Radio(choices=["None", "Floyd-Steinberg"], label="Colors Dither Method")
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k_means_color = gr.Checkbox(label="Enable k-means for color quantization", value=True)
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with gr.TabItem("Grayscale"):
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enable_grayscale = gr.Checkbox(label="Enable", value=False)
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palette_size_gray = gr.Slider(label="Palette Size", minimum=1, maximum=256, step=1, value=16)
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quantization_methods_gray = gr.Radio(choices=["Median Cut", "Maximum Coverage", "Fast Octree"], label="Colors Quantization Method")
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dither_methods_gray = gr.Radio(choices=["None", "Floyd-Steinberg"], label="Colors Dither Method")
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k_means_gray = gr.Checkbox(label="Enable k-means for color quantization", value=True)
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with gr.TabItem("Black and white"):
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enable_black_and_white = gr.Checkbox(label="Enable", value=False)
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inverse_black_and_white = gr.Checkbox(label="Inverse", value=False)
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threshold_black_and_white = gr.Slider(label="Threshold", minimum=1, maximum=256, step=1, value=128)
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with gr.TabItem("Custom color palette"):
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enable_custom_palette = gr.Checkbox(label="Enable", value=False)
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palette_image = gr.Image(label="Color palette image", type="pil")
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palette_size_custom = gr.Slider(label="Palette Size", minimum=1, maximum=256, step=1, value=16)
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dither_methods_custom = gr.Radio(choices=["None", "Floyd-Steinberg"], label="Colors Dither Method")
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post_process_button = gr.Button("Apply Post-Processing")
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gallery.select(update_selection, outputs=[prompt, selected_info, selected_state])
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prompt.submit(fn=run_lora, inputs=[prompt, selected_state], outputs=[result, refined_result])
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