|
from dataclasses import dataclass |
|
from typing import List, Union |
|
|
|
import numpy as np |
|
import PIL.Image |
|
import torch |
|
|
|
from ...utils import BaseOutput |
|
|
|
|
|
@dataclass |
|
class AnimateDiffPipelineOutput(BaseOutput): |
|
r""" |
|
Output class for AnimateDiff pipelines. |
|
|
|
Args: |
|
frames (`torch.Tensor`, `np.ndarray`, or List[List[PIL.Image.Image]]): |
|
List of video outputs - It can be a nested list of length `batch_size,` with each sub-list containing |
|
denoised |
|
PIL image sequences of length `num_frames.` It can also be a NumPy array or Torch tensor of shape |
|
`(batch_size, num_frames, channels, height, width)` |
|
""" |
|
|
|
frames: Union[torch.Tensor, np.ndarray, List[List[PIL.Image.Image]]] |
|
|
