Text To Music Generation With Hierarchical Composition

via “text-to-music generation with controllable parameters”

Meta's library for music and audio generation.

Unique: Uses a two-stage architecture combining EnCodec neural compression (reducing audio to discrete tokens at 50Hz) with a language model operating on token sequences, enabling efficient generation without raw waveform processing. Implements streaming transformer architecture for efficient long-sequence generation.

vs others: Faster inference than diffusion-based alternatives (MAGNeT non-autoregressive variant available) and more controllable than end-to-end models; open-source weights enable local deployment without API dependencies.