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