Spaces:
Running
on
Zero
Running
on
Zero
Simplify the layout
#2
by
multimodalart
HF staff
- opened
demo.py
CHANGED
@@ -219,20 +219,24 @@ with gr.Blocks() as demo:
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with gr.Column(variant="panel"):
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gr.Markdown(
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"""
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- Input image can be specified using the "Input Image URL" text box or uploaded by clicking or dragging the image to the "Input Image" box.
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- Input image will be resized and/or center cropped to a given resolution (320 x 512) automatically.
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- After setting the input image path, press the "Preview" button to visualize the resized input image.
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"""
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)
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with gr.Row():
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prompt_textbox = gr.Textbox(label="Prompt", lines=1)
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negative_prompt_textbox = gr.Textbox(label="Negative prompt", lines=1)
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with gr.Row(equal_height=False):
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with gr.Column():
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with gr.Row():
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sample_step_slider = gr.Slider(label="Sampling steps", value=50, minimum=10, maximum=250, step=1)
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@@ -254,18 +258,7 @@ with gr.Blocks() as demo:
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dct_coefficients = gr.Slider(label="DCT Coefficients", value=0.23, minimum=0, maximum=1, step=0.01, interactive=True)
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noise_level = gr.Slider(label="Noise Level", value=985, minimum=1, maximum=999, step=1, interactive=True)
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with gr.Column():
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with gr.Row():
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input_image_path = gr.Textbox(label="Input Image URL", lines=1, scale=10, info="Press Enter or the Preview button to confirm the input image.")
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preview_button = gr.Button(value="Preview")
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with gr.Row():
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input_image = gr.Image(label="Input Image", interactive=True)
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input_image.upload(fn=update_textbox_and_save_image, inputs=[input_image, height, width], outputs=[input_image_path, input_image])
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result_video = gr.Video(label="Generated Animation", interactive=False, autoplay=True)
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preview_button.click(fn=update_and_resize_image, inputs=[input_image_path, height, width], outputs=[input_image])
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input_image_path.submit(fn=update_and_resize_image, inputs=[input_image_path, height, width], outputs=[input_image])
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with gr.Column(variant="panel"):
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with gr.Row():
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prompt_textbox = gr.Textbox(label="Prompt", lines=1)
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negative_prompt_textbox = gr.Textbox(label="Negative prompt", lines=1)
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with gr.Row(equal_height=False):
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with gr.Column():
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with gr.Row():
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input_image = gr.Image(label="Input Image", interactive=True)
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result_video = gr.Video(label="Generated Animation", interactive=False, autoplay=True)
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generate_button = gr.Button(value="Generate", variant='primary')
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with gr.Accordion("Advanced options", open=False):
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with gr.Column():
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with gr.Row():
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input_image_path = gr.Textbox(label="Input Image URL", lines=1, scale=10, info="Press Enter or the Preview button to confirm the input image.")
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preview_button = gr.Button(value="Preview")
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with gr.Row():
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sample_step_slider = gr.Slider(label="Sampling steps", value=50, minimum=10, maximum=250, step=1)
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dct_coefficients = gr.Slider(label="DCT Coefficients", value=0.23, minimum=0, maximum=1, step=0.01, interactive=True)
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noise_level = gr.Slider(label="Noise Level", value=985, minimum=1, maximum=999, step=1, interactive=True)
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input_image.upload(fn=update_textbox_and_save_image, inputs=[input_image, height, width], outputs=[input_image_path, input_image])
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preview_button.click(fn=update_and_resize_image, inputs=[input_image_path, height, width], outputs=[input_image])
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input_image_path.submit(fn=update_and_resize_image, inputs=[input_image_path, height, width], outputs=[input_image])
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