I am wondering why the dimensionality of ```Latent Space``` in ```Stable Diffusion``` is ```64x64x3```. Since the encoding is performed by ```Variational Autoencoder``` it must output some ```mean``` and ```log variance``` that we can use to sample a ```latent vector``` of shape ```(latent_dim, )```. But how ```Stable Diffusion``` uses ```64x64x3``` latent space when we expect shape ```(latent, )```?