t = 1
act_fn: str = 'silu'
latent_channels: int = 3
sample_size: int = 32
num_vq_embeddings: int = 256
norm_num_groups: int = 32
vq_embed_dim: typing.Optional[int] = None
scaling_factor: float = 0.18215
norm_type: str = 'group'

)


Parameters 

in_channels (int, optional, defaults to 3) — Number of channels in the input image.


out_channels (int,  optional, defaults to 3) — Number of channels in the output.


down_block_types (Tuple[str], opt