ImageNet-1k Latent Diffusion Model (Part 1: The VAE)

Posted on Mon 02 March 2026 in Machine Learning • Tagged with machine learning, imagenet, diffusion, VAE

Introduction

This post is the first of two about how I've trained a Latent Diffusion Model (LDM) to generate images from ImageNet-1k class labels.

As a recap from the last post, which was a high level overview of how a LDM works we have two main components:

  1. A Variational Autoencoder …

Continue reading

Latent Diffusion Model on CIFAR-10

Posted on Wed 07 January 2026 in Machine Learning • Tagged with machine learning, cifar, diffusion, VAE

Project

This project builds a Latent Diffusion Model (LDM) on CIFAR-10 that has been upscaled to 64x64.

Introduction

After exploring diffusion on MNIST datasets, I have continued exploring more, successfully building a LDM on CIFAR-10 data. This post covers the first phase of a currently three month project helping to …


Continue reading