iVdddlmZddlZddlmZeGddeZeGddeZy)) dataclassN) BaseOutputc0eZdZUdZej ed<y)KandinskyPipelineOutputa 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)`. framesN__name__ __module__ __qualname____doc__torchTensor__annotations__x/home/obispo/Crisostomo_bridge/mision_env/lib/python3.12/site-packages/diffusers/pipelines/kandinsky5/pipeline_output.pyrrs LLrrc0eZdZUdZej ed<y)KandinskyImagePipelineOutputa 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)`. imageNrrrrrrs <<rr) dataclassesrr diffusers.utilsrrrrrrrsD! &  j     :   r