3jVdSSKJr SSKrSSKJr \"SS\55r\"SS\55rg)) dataclassN) BaseOutputc8\rSrSr%Sr\R \S'Srg)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____firstlineno____doc__torchTensor__annotations____static_attributes__r h/home/wildlama/miniconda3/lib/python3.13/site-packages/diffusers/pipelines/kandinsky5/pipeline_output.pyrrs LLrrc8\rSrSr%Sr\R \S'Srg)KandinskyImagePipelineOutputai 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)`. imager Nr r rrrrs <<rr) dataclassesrrdiffusers.utilsrrrr rrrsD! &  j     :   r