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MusicGen
MusicGen

Open WeightsAudio & SpeechtextaudioUpdated June 8, 2023

MusicGen

Model Overview

MusicGen is Meta's single-stage auto-regressive transformer model designed for high-quality music generation. Released on June 8, 2023, under a Creative Commons Attribution-NonCommercial (CC-BY-NC 4.0) license, MusicGen operates on compressed discrete audio tokens generated by Meta’s EnCodec audio tokenizer. It is available in multiple parameter sizes, most notably a 3.3 billion parameter version.

Capabilities

  • Text-to-Music: Generates high-quality stereo music directly from text prompts describing genre, mood, instruments, or style.
  • Melody Conditioning: Supports conditioning generation on reference melodies (audio files), guiding the melodic structure while the text prompt sets the stylistic context.
  • Single-Stage Architecture: Utilizes an efficient token interleaving pattern to predict audio codebooks, avoiding the need for cascaded multiple stages or hierarchical upsampling.
  • Extensive Training: Trained on over 20,000 hours of licensed music to ensure diverse and high-fidelity outputs.

Example Use Cases

  • Background Tracks: Quickly generating royalty-free background music for videos, podcasts, and games.
  • Musical Ideation: Assisting composers and musicians in exploring new melodies, chord progressions, and stylistic fusions.
  • Audio Prototyping: Providing sound designers with rapid, controllable music generation for various media projects.

Performance & Benchmarks

MusicGen, particularly the Large (3.3B) variant, serves as a foundational benchmark in the field of open-source music generation.

  • FAD (Fréchet Audio Distance): Achieved a verified score of 3.4, indicating high statistical similarity between the generated audio and real music.
  • Human Preference Studies: Consistently ranks highly in pairwise audio comparisons for perceived quality and prompt alignment.

Intended Use & Limitations

  • Intended Use: Self-hostable, open-weights model intended for non-commercial research, creative exploration, and audio tool development.
  • Limitations: The model has a limited context window of 30 seconds for direct generation. Generated audio may occasionally drift from the text prompt or exhibit artifacts in highly complex or unstructured genres.

About Meta

Meta is a global technology company focused on connecting people through social media platforms, virtual reality, and advanced artificial intelligence. Through initiatives like AudioCraft, Meta is a leading contributor to the open-source AI community, advancing research in audio and multimodal generation.

Key Features

Generates stereo music from text prompts

Feature 01

Supports conditioning generation on reference melodies

Feature 02

Trained on 20,000 hours of licensed music

Feature 03

Open weight files under CC-BY-NC 4.0

Feature 04

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Verified Sources

Tags

audiomusic-generationopen-weights

Model Specs

open-weights

Parameters

3.3B

Context Window

30s

License

Other/Custom

Deployment

self-hostable

Resources & Links

Lineage

Model Family

Part of the AudioCraft family

Only release in this line currently tracked.

Curator Notes

Weights released under Creative Commons Attribution-NonCommercial 4.0 International license.

Compare Specs

Compare parameters, context windows, modalities, and benchmark scores of this model side-by-side with others.

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