AudioCraft (Meta)
Music generation — Meta open-source models for audio creation
📋 Overview
AudioCraft is Meta open-source framework for music and audio generation — providing MusicGen (text-to-music) and AudioGen (text-to-sound) models. Unlike Bark (which generates audio broadly), AudioCraft focuses specifically on high-quality music generation. It supports melody conditioning, chunked generation, and long-form music creation.
✨ Key Features
- •25K+ GitHub stars — Meta music generation
- •MusicGen: text-to-music
- •AudioGen: text-to-sound
- •Melody conditioning
- •Long-form generation
- •MIT licensed
🎯 The Problem It Solves
Generating high-quality music from text requires specialized models. AudioCraft provides state-of-the-art music generation that is open-source and free.
🔧 How It Works
AudioCraft uses a transformer-based model to generate music from text prompts. MusicGen generates music from text descriptions, while AudioGen generates sound effects. The models support melody conditioning — provide a reference melody and the model generates music that follows it.
🚀 Installation & Quick Start
Installation
See websiteQuick Start
- See documentation
✅ Pros
- •Best open-source music generation
- •Melody conditioning
- •MIT licensed
- •Active community
- •Comprehensive documentation
- •Production-ready
❌ Cons
- •Requires significant GPU
- •Generation slow
- •Model large
💬 Practitioner Verdict
“AudioCraft is the best open-source music generation framework — the quality is genuinely differentiated. The trade-off: requires significant GPU resources, generation is slow, and the model is large. For users who want to generate music from text, AudioCraft is the default.”
Self-Hosted (Free)
Open source, MIT/Apache licensed. Run it yourself.
⭐ Star & Clone on GitHubFree forever. Your infrastructure, your data.
📊 Specifications
- Language
- Python
- License
- MIT
- Platform
- Linux, macOS, Windows
- Supported Models
- REST API, CLI
💰 Pricing Reality
100% free MIT license. No paid tier.