This repository implements DALL-E 2, OpenAI’s text-to-image synthesis model, in PyTorch. It replicates the two-stage architecture: a diffusion prior network that predicts image embeddings from CLIP text embeddings, and a decoder that generates images from those embeddings. The implementation focuses on the diffusion prior variant, which was the best-performing approach.