architectures
VAE
Variational Autoencoder, a generative model that learns a compressed latent representation of data and can generate new samples by decoding points from this latent space. VAEs combine autoencoders with probabilistic modeling to enable controlled generation.
In practice
VAEs are used in Stable Diffusion's architecture to encode images into a compact latent space for efficient processing.