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Framework

AudioCraft

AudioCraft is an open-source AI framework from Meta, launched in 2023, made for developers.

A PyTorch library from Meta with MusicGen and AudioGen for generating music and sound.

Main jobs: Music generation, Sound effects. It is open source and free to use. You can use it on your own server and offline on your own machine.

Visit github.com

Markdown version of https://godooo.ai/en/framework/audiocraft. Every page on this site has one: add .md to its address.

At a glance

Made by
Meta
Launched
2023
Open source
Yes · MIT
GitHub stars
23,650
How you run it
Self-host · Runs offline
Made for
Developers
Website
github.com
Also known as
MusicGen

What it can do

  • Music generationmain jobunconfirmed

    “MusicGen: A state-of-the-art controllable text-to-music model.”— github.com, 2026-09-24
  • Sound effectsmain jobunconfirmed

    “AudioGen: A state-of-the-art text-to-sound model.”— github.com, 2026-09-24
  • Model trainingsupportedunconfirmed

    “AudioCraft contains PyTorch components for deep learning research in audio and training pipelines for the developed models.”— github.com, 2026-09-24

unconfirmedproposed by a machine, awaiting calibration

Alternatives

Connections

Built with
PyTorch

Questions

What is AudioCraft?

AudioCraft is an open-source AI framework from Meta, launched in 2023, made for developers. A PyTorch library from Meta with MusicGen and AudioGen for generating music and sound.

Is AudioCraft free?

Yes. AudioCraft is open source (MIT) and free to use.

Is AudioCraft open source?

Yes, under the MIT license. The source code is at https://github.com/facebookresearch/audiocraft.

Can AudioCraft run locally?

Yes. AudioCraft can run offline on your own machine. It can also be self-hosted on your own server.

What can AudioCraft do?

Main jobs: Music generation, Sound effects. It can also do: Model training.

Who makes AudioCraft?

AudioCraft is made by Meta.

What are open-source alternatives to AudioCraft?

Open-source ones: ACE-Step. Others: Suno, ElevenLabs, Udio, Kling 可灵, Veo and Pika.

Sources