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Whats a VAE? : r StableDiffusion - Reddit A VAE is a variational autoencoder An autoencoder is a model (or part of a model) that is trained to produce its input as output By giving the model less information to represent the data than the input contains, it's forced to learn about the input distribution and compress the information
Stable Diffusion BASICS - A guide to VAE : r StableDiffusion trueYou seem to have some misconceptions when it comes to VAE The VAE is what gets you from latent space to pixelated images and vice versa There's hence no such thing as "no VAE" as you wouldn't have an image It hence would have used a default VAE, in most cases that would be the one used for SD 1 5 A VAE is hence also definitely not a "network extension" file Still one of the best ways