
use_tiling: bool = True

)



Enable tiled VAE decoding. When this option is enabled, the VAE will split the input tensor into tiles to
compute decoding and encoding in several steps. This is useful to save a large amount of memory and to allow
the processing of larger images.

forward

<
source
>
(
sample: FloatTensor
sample_posterior: bool = False
return_dict: bool = True
generator: typing.Optional[torch._C.Generator] = None

)


Parameters 