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Update app.py
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app.py
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@@ -157,19 +157,11 @@ with gr.Blocks() as demo:
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# Add notice for limited spaces
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if IS_ORIGINAL_SPACE:
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gr.Markdown("⚠️ **This free public demo limits the resolution to
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with gr.Row():
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with gr.Column():
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prompt_input = gr.Textbox(label="Prompt", value=default_prompt_t2v, placeholder="Describe the video you want to generate...")
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duration_seconds_input = gr.Slider(
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minimum=round(MIN_FRAMES_MODEL/FIXED_FPS,1),
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maximum=MAX_DURATION,
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step=0.1,
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value=2,
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label="Duration (seconds)",
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info=f"Clamped to model's {MIN_FRAMES_MODEL}-{MAX_FRAMES_MODEL} frames at {FIXED_FPS}fps."
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)
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with gr.Accordion("Advanced Settings", open=False):
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negative_prompt_input = gr.Textbox(label="Negative Prompt", value=default_negative_prompt, lines=3)
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@@ -190,6 +182,14 @@ with gr.Blocks() as demo:
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value=min(DEFAULT_W_SLIDER_VALUE, SLIDER_MAX_W),
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label=f"Output Width (multiple of {MOD_VALUE})"
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)
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steps_slider = gr.Slider(minimum=1, maximum=MAX_STEPS, step=1, value=4, label="Inference Steps")
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guidance_scale_input = gr.Slider(minimum=0.0, maximum=20.0, step=0.5, value=1.0, label="Guidance Scale", visible=False)
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# Add notice for limited spaces
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if IS_ORIGINAL_SPACE:
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gr.Markdown("⚠️ **This free public demo limits the resolution to 640px, duration to 2s, and inference steps to 4. For full capabilities please duplicate this space.**")
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with gr.Row():
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with gr.Column():
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prompt_input = gr.Textbox(label="Prompt", value=default_prompt_t2v, placeholder="Describe the video you want to generate...")
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with gr.Accordion("Advanced Settings", open=False):
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negative_prompt_input = gr.Textbox(label="Negative Prompt", value=default_negative_prompt, lines=3)
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value=min(DEFAULT_W_SLIDER_VALUE, SLIDER_MAX_W),
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label=f"Output Width (multiple of {MOD_VALUE})"
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)
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duration_seconds_input = gr.Slider(
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minimum=round(MIN_FRAMES_MODEL/FIXED_FPS,1),
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maximum=MAX_DURATION,
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step=0.1,
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value=2,
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label="Duration (seconds)",
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info=f"Clamped to model's {MIN_FRAMES_MODEL}-{MAX_FRAMES_MODEL} frames at {FIXED_FPS}fps."
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)
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steps_slider = gr.Slider(minimum=1, maximum=MAX_STEPS, step=1, value=4, label="Inference Steps")
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guidance_scale_input = gr.Slider(minimum=0.0, maximum=20.0, step=0.5, value=1.0, label="Guidance Scale", visible=False)
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