+hbSSKrSSKJrJrJr SSKrSSKrSSKrSSK J r J r J r "SS\ 5r g)N)ListOptionalUnion)VaeImageProcessoris_valid_imageis_valid_image_imagelistc \rSrSrSrS S\\S\\S\R4Sjjr S S\RS \ S\ \ R\R\\R R 44S jjrS rg)VideoProcessorzSimple video processor.Nheightwidthreturnc [U[5(ae[US[R5(aCUSRS:Xa0[ R "S[5 [R"USS9n[U[5(ae[US[R5(aCUSRS:Xa0[ R "S[5 [R"USS9n[U[R[R45(aURS:Xa [U5nOr[U[5(a[US5(d[U5(aU/nO6[U[5(a[US5(aUnO [S5e[R"UVs/sHo@R!XBUS9PM snSS9nUR#SS S S S 5nU$s snf) aR Preprocesses input video(s). Args: video (`List[PIL.Image]`, `List[List[PIL.Image]]`, `torch.Tensor`, `np.array`, `List[torch.Tensor]`, `List[np.array]`): The input video. It can be one of the following: * List of the PIL images. * List of list of PIL images. * 4D Torch tensors (expected shape for each tensor `(num_frames, num_channels, height, width)`). * 4D NumPy arrays (expected shape for each array `(num_frames, height, width, num_channels)`). * List of 4D Torch tensors (expected shape for each tensor `(num_frames, num_channels, height, width)`). * List of 4D NumPy arrays (expected shape for each array `(num_frames, height, width, num_channels)`). * 5D NumPy arrays: expected shape for each array `(batch_size, num_frames, height, width, num_channels)`. * 5D Torch tensors: expected shape for each array `(batch_size, num_frames, num_channels, height, width)`. height (`int`, *optional*, defaults to `None`): The height in preprocessed frames of the video. If `None`, will use the `get_default_height_width()` to get default height. width (`int`, *optional*`, defaults to `None`): The width in preprocessed frames of the video. If `None`, will use get_default_height_width()` to get the default width. rzPassing `video` as a list of 5d np.ndarray is deprecated.Please concatenate the list along the batch dimension and pass it as a single 5d np.ndarray)axiszPassing `video` as a list of 5d torch.Tensor is deprecated.Please concatenate the list along the batch dimension and pass it as a single 5d torch.TensorzeInput is in incorrect format. Currently, we only support numpy.ndarray, torch.Tensor, PIL.Image.Image)r r)dimr) isinstancelistnpndarrayndimwarningswarn FutureWarning concatenatetorchTensorcatrr ValueErrorstack preprocesspermute)selfvideor rimgs S/home/james-whalen/.local/lib/python3.13/site-packages/diffusers/video_processor.pypreprocess_videoVideoProcessor.preprocess_videos2 eT " "z%(BJJ'G'GERSHMM]^L^ MMn  NN5q1E eT " "z%(ELL'I'IeTUhmm_`N` MMp  IIe!,E ebjj%,,7 8 8UZZ1_KE t $ $a)A)AE]^cEdEdGE t $ $)A%()K)KEw  Y^_Y^RU__Su_MY^_efg aAq!, `sG<r( output_typec\URSn/n[U5H;nXRSSSS5nURXb5nUR U5 M= US:Xa[ R "U5nU$US:Xa[R "U5nU$US:Xd[US35eU$) z Converts a video tensor to a list of frames for export. Args: video (`torch.Tensor`): The video as a tensor. output_type (`str`, defaults to `"np"`): Output type of the postprocessed `video` tensor. rrrrrptpilz9 does not exist. Please choose one of ['np', 'pt', 'pil']) shaperanger& postprocessappendrr$r r#)r'r(r- batch_sizeoutputs batch_idx batch_vid batch_outputs r*postprocess_video VideoProcessor.postprocess_videoYs[[^ z*I(00Aq!> ?r<r )rtypingrrrnumpyrrEr image_processorrrr r r=r<r*rKs.(( XXX&Xr<