Meta AudioCraft: Open-Source AI Music and Sound Generation

Meta AudioCraft is an open-source framework for AI-powered audio generation, featuring MusicGen for music creation and AudioGen for sound effects. It provides actively maintained tools for training, inference, and custom audio generation pipelines.

Features

MusicGen - Music Generation

Create music tracks from text descriptions with control over style, tempo, and structure.

AudioGen - Sound Effects

Generate high-quality sound effects and audio samples for various applications.

Open-Source and Self-Hostable

Complete codebase available for local deployment, training, and customization.

Training and Inference Tools

Comprehensive tools for model training, fine-tuning, and running inference on custom datasets.

Custom Pipeline Support

Build custom audio generation workflows and integrate into existing production systems.

Active Maintenance

Regularly updated codebase with community support and Meta backing.

Best For

Developers needing full control over audio generation
Teams requiring self-hosted solutions for privacy or customization
Research and experimentation with AI music models
Custom audio pipelines and specialized use cases
Organizations wanting to train models on proprietary data

Access

Open-source on GitHub
Self-hostable on local hardware or cloud infrastructure
No API fees or usage restrictions
Requires technical expertise to deploy and maintain

Notes

Part of Meta's AI research initiatives
Suitable for technical users comfortable with Python and ML frameworks
Offers greater flexibility than cloud-based solutions
Good alternative to commercial APIs for custom workflows

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