Build a Stable Diffusion VAE From Scratch using Pytorch

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Published on ● Video Link: https://www.youtube.com/watch?v=kG9l41Dtuyo


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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 β€ͺ@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

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