Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
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@@ -130,10 +130,9 @@ def run_lora(prompt, cfg_scale, steps, selected_index, randomize_seed, seed, wid
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for image in image_generator:
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step_counter+=1
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final_image = image
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yield image, seed, gr.update(value=progress_bar, visible=True)
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yield final_image, seed, gr.update(value=
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run_lora.zerogpu = True
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@@ -151,7 +150,6 @@ css = '''
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#progress{height:30px}
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#progress .generating{display:none}
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.progress-container {width: 100%;height: 30px;background-color: #f0f0f0;border-radius: 15px;overflow: hidden;margin-bottom: 20px}
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.progress-bar {height: 100%;background-color: #4f46e5;width: calc(var(--current) / var(--total) * 100%);transition: width 0.5s ease-in-out}
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'''
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with gr.Blocks(theme=gr.themes.Soft(), css=css) as app:
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title = gr.HTML(
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@@ -185,7 +183,6 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as app:
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)
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with gr.Column(scale=4):
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progress_bar = gr.Markdown(elem_id="progress",visible=False)
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result = gr.Image(label="Generated Image")
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with gr.Row():
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@@ -215,7 +212,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as app:
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triggers=[generate_button.click, prompt.submit],
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fn=run_lora,
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inputs=[prompt, cfg_scale, steps, selected_index, randomize_seed, seed, width, height, lora_scale],
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outputs=[result, seed
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)
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app.queue(default_concurrency_limit=2).launch(show_error=True)
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for image in image_generator:
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step_counter+=1
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final_image = image
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yield image, seed, gr.update(value=progress, visible=True)
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yield final_image, seed, gr.update(value=progress, visible=False)
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run_lora.zerogpu = True
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#progress{height:30px}
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#progress .generating{display:none}
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.progress-container {width: 100%;height: 30px;background-color: #f0f0f0;border-radius: 15px;overflow: hidden;margin-bottom: 20px}
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'''
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with gr.Blocks(theme=gr.themes.Soft(), css=css) as app:
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title = gr.HTML(
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)
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with gr.Column(scale=4):
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result = gr.Image(label="Generated Image")
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with gr.Row():
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triggers=[generate_button.click, prompt.submit],
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fn=run_lora,
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inputs=[prompt, cfg_scale, steps, selected_index, randomize_seed, seed, width, height, lora_scale],
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outputs=[result, seed]
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)
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app.queue(default_concurrency_limit=2).launch(show_error=True)
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