Files changed (1) hide show
  1. app.py +5 -4
app.py CHANGED
@@ -62,7 +62,7 @@ model = load_model()
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  # Text-to-video generation function
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  @spaces.GPU(duration=120)
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- def generate_video(prompt, image=None, duration=5, guidance_scale=9, video_guidance_scale=5, progress=gr.Progress(track_tqdm=True)):
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  multiplier = 1.2 if is_canonical else 3.0
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  temp = int(duration * multiplier) + 1
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  torch_dtype = torch.bfloat16 if MODEL_DTYPE == "bf16" else torch.float32
@@ -95,7 +95,7 @@ def generate_video(prompt, image=None, duration=5, guidance_scale=9, video_guida
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  save_memory=True,
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  )
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  output_path = f"{str(uuid.uuid4())}_output_video.mp4"
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- export_to_video(frames, output_path, fps=8 if is_canonical else 24)
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  return output_path
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  # Gradio interface
@@ -111,11 +111,12 @@ with gr.Blocks() as demo:
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  t2v_prompt = gr.Textbox(label="Prompt")
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  with gr.Accordion("Advanced settings", open=False):
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  t2v_duration = gr.Slider(minimum=1, maximum=3 if is_canonical else 10, value=3 if is_canonical else 5, step=1, label="Duration (seconds)", visible=not is_canonical)
 
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  t2v_guidance_scale = gr.Slider(minimum=1, maximum=15, value=9, step=0.1, label="Guidance Scale")
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  t2v_video_guidance_scale = gr.Slider(minimum=1, maximum=15, value=5, step=0.1, label="Video Guidance Scale")
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  t2v_generate_btn = gr.Button("Generate Video")
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  with gr.Column():
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- t2v_output = gr.Video(label=f"Generated Video at {'8fps' if is_canonical else '24fps'}")
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  gr.HTML("""
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  <div style="display: flex; flex-direction: column;justify-content: center; align-items: center; text-align: center;">
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  <p style="display: flex;gap: 6px;">
@@ -138,7 +139,7 @@ with gr.Blocks() as demo:
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  )
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  t2v_generate_btn.click(
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  generate_video,
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- inputs=[t2v_prompt, i2v_image, t2v_duration, t2v_guidance_scale, t2v_video_guidance_scale],
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  outputs=t2v_output
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  )
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62
 
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  # Text-to-video generation function
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  @spaces.GPU(duration=120)
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+ def generate_video(prompt, image=None, duration=3, guidance_scale=9, video_guidance_scale=5, frames_per_second=8, progress=gr.Progress(track_tqdm=True)):
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  multiplier = 1.2 if is_canonical else 3.0
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  temp = int(duration * multiplier) + 1
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  torch_dtype = torch.bfloat16 if MODEL_DTYPE == "bf16" else torch.float32
 
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  save_memory=True,
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  )
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  output_path = f"{str(uuid.uuid4())}_output_video.mp4"
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+ export_to_video(frames, output_path, fps=frames_per_second)
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  return output_path
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  # Gradio interface
 
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  t2v_prompt = gr.Textbox(label="Prompt")
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  with gr.Accordion("Advanced settings", open=False):
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  t2v_duration = gr.Slider(minimum=1, maximum=3 if is_canonical else 10, value=3 if is_canonical else 5, step=1, label="Duration (seconds)", visible=not is_canonical)
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+ t2v_fps = gr.Slider(minimum=8, maximum=24, step=16, value=8 if is_canonical else 24, label="Frames per second", visible=is_canonical)
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  t2v_guidance_scale = gr.Slider(minimum=1, maximum=15, value=9, step=0.1, label="Guidance Scale")
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  t2v_video_guidance_scale = gr.Slider(minimum=1, maximum=15, value=5, step=0.1, label="Video Guidance Scale")
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  t2v_generate_btn = gr.Button("Generate Video")
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  with gr.Column():
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+ t2v_output = gr.Video(label=f"Generated Video")
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  gr.HTML("""
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  <div style="display: flex; flex-direction: column;justify-content: center; align-items: center; text-align: center;">
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  <p style="display: flex;gap: 6px;">
 
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  )
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  t2v_generate_btn.click(
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  generate_video,
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+ inputs=[t2v_prompt, i2v_image, t2v_duration, t2v_guidance_scale, t2v_video_guidance_scale, t2v_fps],
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  outputs=t2v_output
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  )
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