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Update app.py
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app.py
CHANGED
@@ -617,7 +617,7 @@ def infer_upscale(
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def check_upscale_input(input_image, *args):
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if input_image is None:
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-
return gr.update(
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return input_image, *args, gr.update(visible=False)
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with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css, delete_cache=(60, 3600)) as app:
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@@ -694,7 +694,7 @@ with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css, delete_cache=(60, 3600)) as a
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# 업스케일 관련 UI 추가
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with gr.Row():
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upscale_button = gr.Button("Upscale")
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-
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with gr.Row():
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with gr.Column(scale=4):
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upscale_input = gr.Image(label="Input Image for Upscaling", type="pil")
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@@ -728,11 +728,13 @@ with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css, delete_cache=(60, 3600)) as a
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value=42,
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)
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upscale_randomize_seed = gr.Checkbox(label="Randomize seed for Upscaling", value=True)
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-
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with gr.Row():
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upscale_result = gr.Image(label="Upscaled Image", type="pil")
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upscale_seed_output = gr.Number(label="Seed Used", precision=0)
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gallery.select(
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update_selection,
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inputs=[selected_indices, loras_state, width, height],
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@@ -797,7 +799,7 @@ with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css, delete_cache=(60, 3600)) as a
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).then(
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infer_upscale,
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inputs=[
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-
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upscale_randomize_seed,
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upscale_input,
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upscale_steps,
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@@ -809,7 +811,6 @@ with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css, delete_cache=(60, 3600)) as a
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)
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-
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if __name__ == "__main__":
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app.queue(max_size=20)
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app.launch(debug=True)
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def check_upscale_input(input_image, *args):
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if input_image is None:
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return gr.update(), *args, gr.update(visible=True, value="Please provide an input image for upscaling.")
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return input_image, *args, gr.update(visible=False)
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with gr.Blocks(theme="Nymbo/Nymbo_Theme", css=css, delete_cache=(60, 3600)) as app:
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# 업스케일 관련 UI 추가
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with gr.Row():
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upscale_button = gr.Button("Upscale")
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+
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with gr.Row():
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with gr.Column(scale=4):
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upscale_input = gr.Image(label="Input Image for Upscaling", type="pil")
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value=42,
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)
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upscale_randomize_seed = gr.Checkbox(label="Randomize seed for Upscaling", value=True)
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upscale_error = gr.Markdown(visible=False, value="Please provide an input image for upscaling.")
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with gr.Row():
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upscale_result = gr.Image(label="Upscaled Image", type="pil")
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upscale_seed_output = gr.Number(label="Seed Used", precision=0)
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+
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gallery.select(
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update_selection,
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inputs=[selected_indices, loras_state, width, height],
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).then(
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infer_upscale,
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inputs=[
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upscale_seed,
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upscale_randomize_seed,
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upscale_input,
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upscale_steps,
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)
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if __name__ == "__main__":
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app.queue(max_size=20)
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app.launch(debug=True)
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