diffusers/pr_13881/en/api/video_processor.md

# 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](/docs/diffusers/pr_13881/en/api/image_processor#diffusers.VaeImageProcessor) so it includes transformations such as resizing, normalization, and conversion between PIL Image, PyTorch, and NumPy arrays.

## VideoProcessor[[diffusers.VideoProcessor.preprocess_video]]

- **video** (`list[PIL.Image]`, `list[list[PIL.Image]]`, `torch.Tensor`, `np.array`, `list[torch.Tensor]`, `list[np.array]`) --
  The input video. It can be one of the following:
  * list of the PIL images.
  * list of list of PIL images.
  * 4D Torch tensors (expected shape for each tensor `(num_frames, num_channels, height, width)`).
  * 4D NumPy arrays (expected shape for each array `(num_frames, height, width, num_channels)`).
  * list of 4D Torch tensors (expected shape for each tensor `(num_frames, num_channels, height,
    width)`).
  * list of 4D NumPy arrays (expected shape for each array `(num_frames, height, width, num_channels)`).
  * 5D NumPy arrays: expected shape for each array `(batch_size, num_frames, height, width,
    num_channels)`.
  * 5D Torch tensors: expected shape for each array `(batch_size, num_frames, num_channels, height,
    width)`.
- **height** (`int`, *optional*, defaults to `None`) --
  The height in preprocessed frames of the video. If `None`, will use the `get_default_height_width()` to
  get default height.
- **width** (`int`, *optional*`, defaults to `None`) --
  The width in preprocessed frames of the video. If `None`, will use get_default_height_width()` to get
  the default width.`torch.Tensor` of shape `(batch_size, num_channels, num_frames, height, width)`A 5D tensor holding the batched channels-first video(s).

Preprocesses input video(s). Keyword arguments will be forwarded to `VaeImageProcessor.preprocess`.

- **video** (`torch.Tensor`) -- The video as a tensor.
- **output_type** (`str`, defaults to `"np"`) -- Output type of the postprocessed `video` tensor.

Converts a video tensor to a list of frames for export. Keyword arguments will be forwarded to
`VaeImageProcessor.postprocess`.