File size: 693 Bytes
e3892b0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | from dataclasses import dataclass
import torch
from diffusers.utils import BaseOutput
@dataclass
class LTX2PipelineOutput(BaseOutput):
r"""
Output class for LTX 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)`.
audio (`torch.Tensor`, `np.ndarray`):
TODO
"""
frames: torch.Tensor
audio: torch.Tensor
|