AhmadMustafa Claude commited on
Commit
b0df1f2
·
1 Parent(s): 93fbc4c

Fix video export to match original repo implementation

Browse files

Use the correct output format: pipe()[0] then video[0]
Remove unnecessary tensor conversion logic

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

Files changed (1) hide show
  1. app.py +3 -25
app.py CHANGED
@@ -61,7 +61,7 @@ def generate_interpolation(
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  # Generate video
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  generator = torch.Generator(device="cuda").manual_seed(seed)
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- output = pipe(
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  prompt=prompt,
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  first_image=first_image,
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  last_image=last_image,
@@ -70,36 +70,14 @@ def generate_interpolation(
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  num_frames=num_frames,
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  guidance_scale=guidance_scale,
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  generator=generator,
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- )
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-
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- # Extract video frames - handle different output formats
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- if hasattr(output, 'frames'):
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- video_frames = output.frames[0]
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- elif isinstance(output, (list, tuple)):
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- video_frames = output[0]
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- else:
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- video_frames = output
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-
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- # Convert tensor to numpy if needed
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- if torch.is_tensor(video_frames):
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- video_frames = video_frames.cpu().numpy()
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-
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- # Ensure correct format: list of numpy arrays in [0, 255] range
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- if isinstance(video_frames, np.ndarray):
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- # If shape is (frames, height, width, channels)
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- if video_frames.ndim == 4:
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- # Convert from float [0, 1] to uint8 [0, 255] if needed
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- if video_frames.dtype == np.float32 or video_frames.dtype == np.float64:
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- video_frames = (video_frames * 255).astype(np.uint8)
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- # Convert to list of frames
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- video_frames = [video_frames[i] for i in range(video_frames.shape[0])]
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  # Export to temporary file
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  temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp4")
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  output_path = temp_file.name
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  temp_file.close()
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- export_to_video(video_frames, output_path, fps=fps)
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  status = f"✓ Video generated successfully! ({num_frames} frames at {fps} fps)"
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  print(status)
 
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  # Generate video
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  generator = torch.Generator(device="cuda").manual_seed(seed)
63
 
64
+ video = pipe(
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  prompt=prompt,
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  first_image=first_image,
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  last_image=last_image,
 
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  num_frames=num_frames,
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  guidance_scale=guidance_scale,
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  generator=generator,
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+ )[0]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # Export to temporary file
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  temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp4")
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  output_path = temp_file.name
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  temp_file.close()
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+ export_to_video(video[0], output_path, fps=fps)
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  status = f"✓ Video generated successfully! ({num_frames} frames at {fps} fps)"
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  print(status)