This repository contains a PyTorch implementation of MusicLM, Google’s SOTA model for music generation. It combines MuLaN, a text-audio contrastive learning model, with AudioLM’s architecture to generate high-quality music from text descriptions. The system uses AudioSpectrogramTransformer and TextTransformer components trained together to align text embeddings with audio representations for conditional music synthesis.