 __call__  < source > ( image: typing.Union[torch.Tensor, PIL.Image.Image] mask_image: typing.Union[torch.Tensor, PIL.Image.Image] num_inference_steps: int = 250 eta: float = 0.0 jump_length: int = 10 jump_n_sample: int = 10 generator: typing.Union[torch._C.Generator, typing.List[torch._C.Generator], NoneType] = None output_type: typing.Optional[str] = 'pil' return_dict: bool = True  ) → ImagePipelineOutput or tuple  Parameters   image (torch.F