This repository provides the official implementation of the Human Motion Diffusion Model (MDM), a denoising diffusion probabilistic model for text-to-motion generation. It trains on human motion data (HumanML3D dataset) and uses CLIP text embeddings as conditioning to generate diverse, natural human motions from text descriptions. The codebase includes the DiP (Diffusion Pipeline) for ultra-fast inference.