Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -374,8 +374,8 @@ css="""
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"""
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with gr.Blocks(css=css) as demo:
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gr.Markdown("# LTX Video 0.9.8
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gr.Markdown("Fast high quality video generation
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with gr.Row():
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with gr.Column():
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@@ -404,7 +404,7 @@ with gr.Blocks(css=css) as demo:
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step=0.1,
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info=f"Target video duration (0.3s to 8.5s)"
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)
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improve_texture = gr.Checkbox(label="Improve Texture (multi-scale)", value=True,
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with gr.Column():
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output_video = gr.Video(label="Generated Video", interactive=False)
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@@ -416,7 +416,7 @@ with gr.Blocks(css=css) as demo:
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with gr.Row():
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seed_input = gr.Number(label="Seed", value=42, precision=0, minimum=0, maximum=2**32-1)
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randomize_seed_input = gr.Checkbox(label="Randomize Seed", value=True)
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with gr.Row(
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guidance_scale_input = gr.Slider(label="Guidance Scale (CFG)", minimum=1.0, maximum=10.0, value=PIPELINE_CONFIG_YAML.get("first_pass", {}).get("guidance_scale", 1.0), step=0.1, info="Controls how much the prompt influences the output. Higher values = stronger influence.")
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with gr.Row():
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height_input = gr.Slider(label="Height", value=512, step=32, minimum=MIN_DIM_SLIDER, maximum=MAX_IMAGE_SIZE, info="Must be divisible by 32.")
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"""
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with gr.Blocks(css=css) as demo:
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gr.Markdown("# LTX Video 0.9.8 Distilled")
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gr.Markdown("Fast high quality video generation, with improved prompt understanding and detail generation [Model](https://huggingface.co/Lightricks/LTX-Video/blob/main/ltxv-13b-0.9.8-distilled.safetensors) [GitHub](https://github.com/Lightricks/LTX-Video)")
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with gr.Row():
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with gr.Column():
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step=0.1,
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info=f"Target video duration (0.3s to 8.5s)"
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)
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improve_texture = gr.Checkbox(label="Improve Texture (multi-scale)", value=True, info="Uses a two-pass generation for better quality, but is slower. Recommended for final output.")
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with gr.Column():
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output_video = gr.Video(label="Generated Video", interactive=False)
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with gr.Row():
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seed_input = gr.Number(label="Seed", value=42, precision=0, minimum=0, maximum=2**32-1)
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randomize_seed_input = gr.Checkbox(label="Randomize Seed", value=True)
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with gr.Row():
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guidance_scale_input = gr.Slider(label="Guidance Scale (CFG)", minimum=1.0, maximum=10.0, value=PIPELINE_CONFIG_YAML.get("first_pass", {}).get("guidance_scale", 1.0), step=0.1, info="Controls how much the prompt influences the output. Higher values = stronger influence.")
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with gr.Row():
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height_input = gr.Slider(label="Height", value=512, step=32, minimum=MIN_DIM_SLIDER, maximum=MAX_IMAGE_SIZE, info="Must be divisible by 32.")
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