This is the official implementation of a CVPR 2022 paper on Diffusion Autoencoders (DiffAE). The model uses a convolutional encoder to learn semantic latent representations paired with a diffusion-based decoder for high-quality image synthesis. It supports unconditional generation, semantic manipulation, interpolation, and autoencoding of images. The project includes Jupyter notebooks for various tasks and web demos via Replicate.