+hSSKJr SSKJrJr SSKrSSKrSSK r SSK J r \"SS\ 55r \"SS \ 55r g) ) dataclass)ListUnionN) BaseOutputcp\rSrSr%Sr\\\RR\ R4\ S'Sr g)FluxPipelineOutput a Output class for Flux image generation pipelines. Args: images (`List[PIL.Image.Image]` or `torch.Tensor` or `np.ndarray`) List of denoised PIL images of length `batch_size` or numpy array or torch tensor of shape `(batch_size, height, width, num_channels)`. PIL images or numpy array present the denoised images of the diffusion pipeline. Torch tensors can represent either the denoised images or the intermediate latents ready to be passed to the decoder. imagesN) __name__ __module__ __qualname____firstlineno____doc__rrPILImagenpndarray__annotations____static_attributes__r b/home/james-whalen/.local/lib/python3.13/site-packages/diffusers/pipelines/flux/pipeline_output.pyr r s*  $syy'3 44rr cV\rSrSr%Sr\R \S'\R \S'Srg)FluxPriorReduxPipelineOutputaC Output class for Flux Prior Redux 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. prompt_embedspooled_prompt_embedsr N) r rrrrtorchTensorrrr rrrrs<<,,&rr) dataclassesrtypingrrnumpyr PIL.Imagerrutilsrr rr rrr&sM!   5 5  5  ': '  'r