Build a Stable Diffusion VAE From Scratch using Pytorch

Learn how to Build a Stable Diffusion VAE From Scratch using Pytorch. VAE stands for Variational Autoencoder. It's a type of Autoencoder and a neural network that trains using an unsupervised technique. They are widely used in Image generation models mainly on latent diffusion-based and GANs-based image generation models. Course created by @harshbhatt7585 Colab notebook / code: https://colab.research.google.com/drive/1OMq_-t3Co1pldn_hO6nHu4QDkxK2l2AL?usp=sharing Articled about the VAE and training code: https://plume-robin-b8f.notion.site/VAE-Explained-Implement-Train-1171a81fb77580e9b739dc9c2e5268c6 ❤️ Try interactive Python courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from our friends at Scrimba) 🎉 Thanks to our Champion and Sponsor supporters: 👾 Drake Milly 👾 Ulises Moralez 👾 Goddard Tan 👾 David MG 👾 Matthew Springman 👾 Claudio 👾 Oscar R.9 👾 jedi-or-sith 👾 Nattira Maneerat 👾 Justin Hual -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news