Open Source AI Music Generator in 2026: AudioCraft (23k Stars) vs Stable Audio Tools - Generate Music Locally for Free

Meta AudioCraft (23,536 stars) and Stability stable-audio-tools (3,835) generate music, sound effects and loops on your own GPU - free, no subscription, and you keep the rights.

💡 What You Will Learn

Meta AudioCraft (23,536 stars) and Stability stable-audio-tools (3,835) generate music, sound effects and loops on your own GPU - free, no subscription, and you keep the rights.

📜 Table of Contents

• The short answer
• Generate your first track with MusicGen
• Text prompt tips that work
• Real numbers
• FAQ

The short answer

AudioCraft (23,536 stars, MIT) from Meta is the most complete open-source music generation library: it includes MusicGen (text-to-music), AudioGen (text-to-sound-effects) and EnCodec (compression). stable-audio-tools (3,835 stars, MIT) is Stability's open release - good for longer, higher-quality stereo generation on stronger GPUs.

Generate your first track with MusicGen

pip install audiocraft

from audiocraft.models import MusicGen
model = MusicGen.get_pretrained('facebook/musicgen-medium')  # 1.5B params
model.set_generation_params(duration=8)

descriptions = ["upbeat electronic dance track with synth lead", "calm lo-fi beats for studying"]
wav = model.generate(descriptions)

Text prompt tips that work

1. Be specific about genre + tempo + instruments: "jazz piano trio, slow tempo, 60s film noir mood"
2. Add a production qualifier: "with vinyl crackle", "radio-friendly mix"
3. Generate 4-8 second loops first - they are much more controllable than full tracks

Real numbers

• MusicGen-medium (1.5B params) generates 8 seconds of audio in ~10-15 seconds on a 24GB GPU.
• MusicGen-small (300M) runs on 8GB GPUs and is 3x faster - fine for drafts.
• AudioCraft has been cited in thousands of research papers and powers many commercial tools' backends.

FAQ

Q: Can I use the generated music commercially? A: The code is MIT and the model weights are released for use, but check the model card for each checkpoint - MusicGen weights are research-friendly licensed.

Q: My GPU is weak - alternatives? A: Use a free Colab GPU, or rent an RTX 4090 on Vast.ai/RunPod for ~$0.30/hour to generate a batch of tracks.

Q: RVC for voice? A: For voice conversion and singing, RVC (37,104 stars) is the standard open-source choice - pair it with a TTS like Coqui (45,857 stars).

❓ FAQ

Can I use the generated music commercially?

The code is MIT and the model weights are released for use, but check the model card for each checkpoint - MusicGen weights are research-friendly licensed.

My GPU is weak - alternatives?

Use a free Colab GPU, or rent an RTX 4090 on Vast.ai/RunPod for ~$0.30/hour to generate a batch of tracks.

RVC for voice?

For voice conversion and singing, RVC (37,104 stars) is the standard open-source choice - pair it with a TTS like Coqui (45,857 stars).