__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.Fl