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Runtime error
Riccardo Giorato
commited on
Commit
•
06568b4
1
Parent(s):
b3a94b8
Update app.py
Browse files
app.py
CHANGED
@@ -189,11 +189,7 @@ with gr.Blocks(css=css) as demo:
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with gr.Column(scale=55):
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with gr.Group():
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model_name = gr.Dropdown(label="Model", choices=[m.name for m in models], value=current_model.name)
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with gr.Box(visible=False) as custom_model_group:
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custom_model_path = gr.Textbox(label="Custom model path", placeholder="Path to model, e.g. riccardogiorato/beeple", interactive=True)
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gr.HTML("<div><font size='2'>Custom models have to be downloaded first, so give it some time.</font></div>")
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with gr.Row():
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prompt = gr.Textbox(label="Prompt", show_label=False, max_lines=2,placeholder="Enter prompt. Style applied automatically").style(container=False)
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generate = gr.Button(value="Generate").style(rounded=(False, True, True, False))
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@@ -226,10 +222,6 @@ with gr.Blocks(css=css) as demo:
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image = gr.Image(label="Image", height=256, tool="editor", type="pil")
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strength = gr.Slider(label="Transformation strength", minimum=0, maximum=1, step=0.01, value=0.5)
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model_name.change(lambda x: gr.update(visible = x == models[0].name), inputs=model_name, outputs=custom_model_group)
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custom_model_path.change(custom_model_changed, inputs=custom_model_path, outputs=None)
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# n_images.change(lambda n: gr.Gallery().style(grid=[2 if n > 1 else 1], height="auto"), inputs=n_images, outputs=gallery)
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inputs = [model_name, prompt, guidance, steps, width, height, seed, image, strength, neg_prompt]
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prompt.submit(inference, inputs=inputs, outputs=image_out)
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generate.click(inference, inputs=inputs, outputs=image_out)
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with gr.Column(scale=55):
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with gr.Group():
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model_name = gr.Dropdown(label="Model", choices=[m.name for m in models], value=current_model.name)
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with gr.Row():
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prompt = gr.Textbox(label="Prompt", show_label=False, max_lines=2,placeholder="Enter prompt. Style applied automatically").style(container=False)
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generate = gr.Button(value="Generate").style(rounded=(False, True, True, False))
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image = gr.Image(label="Image", height=256, tool="editor", type="pil")
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strength = gr.Slider(label="Transformation strength", minimum=0, maximum=1, step=0.01, value=0.5)
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inputs = [model_name, prompt, guidance, steps, width, height, seed, image, strength, neg_prompt]
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prompt.submit(inference, inputs=inputs, outputs=image_out)
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generate.click(inference, inputs=inputs, outputs=image_out)
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