VQ-VAE for Super Resolution
This repository contains a pre-trained VQ-VAE (Vector Quantized Variational Autoencoder) model derived from the CompVis/ldm-super-resolution-4x-openimages model.
Model Overview
The VQ-VAE is a generative model that learns a latent representation of images by encoding them into discrete codes.
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