leoandleo
50b8a150f9
Signed-off-by: leo <92263211+napleon-liu@users.noreply.github.com> Signed-off-by: leo <92263211+liuyao0322@users.noreply.github.com> Signed-off-by: liuyao0322 <yaoliu548926@gmail.com> Co-authored-by: leo <92263211+napleon-liu@users.noreply.github.com>
20 lines
617 B
Python
20 lines
617 B
Python
from dataclasses import dataclass
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import torch
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from diffusers.utils import BaseOutput
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@dataclass
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class SanaVideoPipelineOutput(BaseOutput):
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r"""
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Output class for Sana-Video 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 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: torch.Tensor
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