 device, etc.) —
unet (UNet2DModel): U-Net architecture to denoise the encoded image. scheduler (SchedulerMixin):
The ScoreSdeVeScheduler scheduler to be used in combination with unet to denoise the encoded image.




__call__

<
source
>
(
batch_size: int = 1
num_inference_steps: int = 2000
generator: typing.Union[torch._C.Generator, typing.List[torch._C.Generator], NoneType] = None
output_type: typing.Optional[str] = 'pil'
return_dict: bool =