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feat(diffusers): add lucy to diffusers #1390
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Summary of ChangesHello @Cui-yshoho, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request significantly expands the capabilities of the Highlights
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Code Review
This pull request introduces the LucyEditPipeline, a new video-to-video generation pipeline. The implementation is based on the existing WanPipeline but is adapted for video editing by concatenating conditional latents with the noise latents. The changes are well-structured, adding the new pipeline and its components.
My review focuses on improving performance and code clarity. I've identified an opportunity to significantly improve performance by batching the video encoding process. I've also pointed out some minor code cleanup opportunities, such as removing commented-out code and ensuring files end with a newline for consistency with coding standards.
| condition_latents = [ | ||
| retrieve_latents(self.vae, self.vae.encode(vid.unsqueeze(0))[0], sample_mode="argmax") for vid in video | ||
| ] | ||
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| condition_latents = mint.cat(condition_latents, dim=0).to(dtype) |
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The current implementation encodes each video in the batch individually using a list comprehension. This is inefficient as it prevents batch processing and can be very slow, especially for larger batches. The VAE encoder is capable of processing a whole batch of videos at once, which is much more performant.
condition_latents = retrieve_latents(self.vae, self.vae.encode(video)[0], sample_mode="argmax").to(dtype)|
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| # latent_model_input = latents.to(transformer_dtype) | ||
| latent_model_input = mint.cat([latents, condition_latents], dim=1).to(transformer_dtype) | ||
| # latent_model_input = mint.cat([latents, latents], dim=1).to(transformer_dtype) |
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| if not return_dict: | ||
| return (video,) | ||
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| return LucyPipelineOutput(frames=video) No newline at end of file |
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| ) | ||
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| for name, value in _dummy_objects.items(): | ||
| setattr(sys.modules[__name__], name, value) No newline at end of file |
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| `(batch_size, num_frames, channels, height, width)`. | ||
| """ | ||
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| frames: ms.Tensor No newline at end of file |
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What does this PR do?
Fixes # (issue)
Adds # (feature)
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What's New. Here are thedocumentation guidelines
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