3jSSKJr SSKrSSKrSSKrSSKJrJ r \ "\ 5r \"SS\55r \"SS\55r g)) dataclassN) BaseOutput get_loggerc8\rSrSr%Sr\R \S'Srg)CosmosPipelineOutput a Output class for Cosmos any-to-world/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 d/home/wildlama/miniconda3/lib/python3.13/site-packages/diffusers/pipelines/cosmos/pipeline_output.pyrr s LLrrcl\rSrSr%Sr\\RR\R-\ S'Sr g)CosmosImagePipelineOutputaF Output class for Cosmos any-to-image pipelines. Args: images (`list[PIL.Image.Image]` or `np.ndarray`) list of denoised PIL images of length `batch_size` or numpy array of shape `(batch_size, height, width, num_channels)`. PIL images or numpy array present the denoised images of the diffusion pipeline. imagesr N) r r r rrlistPILImagenpndarrayrrr rrrrs%  !BJJ ..rr) dataclassesrnumpyr PIL.Imagerrdiffusers.utilsrrr loggerrrr rrr$sV! 2 H   :     / /  /r