Files
diffusers/docs/source/en/api/video_processor.md
Sayak Paul 04f4bd54ea [Core] introduce videoprocessor. (#7776)
* introduce videoprocessor.

* fix quality

* address yiyi's feedback

* fix preprocess_video call.

* video_processor -> image_processor

* fix

* fix more.

* quality

* image_processor -> video_processor

* support List[List[PIL.Image.Image]]

* change to video_processor.

* documentation

* Apply suggestions from code review

* changes

* remove print.

* refactor video processor (part # 7776) (#7861)

* update

* update remove deprecate

* Update src/diffusers/video_processor.py

* update

* Apply suggestions from code review

* deprecate list of 5d for video and list of 4d for image + apply other feedbacks

* up

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>

* add doc.

* tensor2vid -> postprocess_video.

* refactor preprocess with preprocess_video

* set default values.

* empty commit

* more refactoring of prepare_latents in animatediff vid2vid

* checking documentation

* remove documentation for now.

* fix animatediff sdxl

* fix test failure [part of video processor PR] (#7905)

up

* remove preceed_with_frames.

* doc

* fix

* fix

* remove video input as a single-frame video.

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Co-authored-by: YiYi Xu <yixu310@gmail.com>
2024-05-10 21:02:36 +02:00

921 B

Video Processor

The VideoProcessor provides a unified API for video pipelines to prepare inputs for VAE encoding and post-processing outputs once they're decoded. The class inherits [VaeImageProcessor] so it includes transformations such as resizing, normalization, and conversion between PIL Image, PyTorch, and NumPy arrays.