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
How should I avoid this problem? Running out of memory vae . . . - Reddit The warning suggests that you replace the VAE Decode node with the VAE Decode Tiled version and try re-running the workflow If it had run out of memory earlier in the workflow it might have also recommended the VAE Encode Tiled node
guide to matching ckpt models and VAEs to LORAs and embeddings in . . . A key to getting expected results from almost any downloaded embedding or LORA is matching the right ckpt and VAE to it As your model collection grows, it becomes impractical to obtain every ckpt and VAE used to create them so you need a good generalized set to work with all checkpoints, embeddings, and LORA you install
Can someone explain the difference between a Lora and VAE? : r . . . - Reddit Super short VAE is like the decoder that turns the number soup into pixels Different models can use different decoders for the best results LORA is an addition to the model, changing the way the model creates an image It adds knowledge of concepts or styles to the model, allowing you to use specific people or styles in your images without training a whole new model
Updated VAE released by Stability, reproducible before and after . . . Stability recently released a new VAE The VAE is part of the SD image generation process A new VAE is exciting since people were hoping it would improve the generated images I saw a couple posts talking about this improving eyes and hands as well as img2img Seems exciting! But I couldn't find a lot of before and after images, nor the prompts to reproduce the differences myself so I have