o GÆÏiVã@sLddlmZddlZddlmZeGdd„deƒƒZeGdd„deƒƒZdS)é)Ú dataclassN)Ú BaseOutputc@óeZdZUdZejed<dS)ÚKandinskyPipelineOutputa¹ Output class for kandinsky video 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)`. ÚframesN©Ú__name__Ú __module__Ú__qualname__Ú__doc__ÚtorchÚTensorÚ__annotations__©rrúb/home/ubuntu/.local/lib/python3.10/site-packages/diffusers/pipelines/kandinsky5/pipeline_output.pyró rc@r)ÚKandinskyImagePipelineOutputa… Output class for kandinsky image pipelines. Args: image (`torch.Tensor`, `np.ndarray`, or list[PIL.Image.Image]): List of image outputs - It can be a nested list of length `batch_size,` with each sub-list containing denoised PIL image. It can also be a NumPy array or Torch tensor of shape `(batch_size, channels, height, width)`. ÚimageNrrrrrrrr)ÚdataclassesrrÚdiffusers.utilsrrrrrrrÚs