o GÆÏiµã@s8ddlmZddlZddlmZeGdd„deƒƒZdS)é)Ú dataclassN)Ú BaseOutputc@s&eZdZUdZejed<ejed<dS)ÚLTX2PipelineOutputaì 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 ÚframesÚaudioN)Ú__name__Ú __module__Ú __qualname__Ú__doc__ÚtorchÚTensorÚ__annotations__©rrú\/home/ubuntu/.local/lib/python3.10/site-packages/diffusers/pipelines/ltx2/pipeline_output.pyrs  r)Ú dataclassesrr Údiffusers.utilsrrrrrrÚs