21 lines
616 B
Python
21 lines
616 B
Python
![]() |
from dataclasses import dataclass
|
||
|
|
||
|
import torch
|
||
|
|
||
|
from diffusers.utils import BaseOutput
|
||
|
|
||
|
|
||
|
@dataclass
|
||
|
class CogVideoXPipelineOutput(BaseOutput):
|
||
|
r"""
|
||
|
Output class for CogVideo 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: torch.Tensor
|