_seed(0)
output = pipe(
    original_image=original_image,
    mask_image=mask_image,
    num_inference_steps=250,
    eta=0.0,
    jump_length=10,
    jump_n_sample=10,
    generator=generator,
)
inpainted_image = output.images[0]

RePaintPipeline
	

class diffusers.RePaintPipeline

<
source
>
(
unet
scheduler

)




__call__

<
source
>
(
image: typing.Union[torch.Tensor, PIL.Image.Image]
mask_image: typing.Union[torch.Tensor, PIL.Image.Image