Open Source AI Music Generator 2026: MusicGen (24k Stars) vs Bark vs Stable Audio - Royalty-Free Tracks

Suno and Udio are impressive but their free tiers are limited and licensing is murky. Open-source music models run locally, cost nothing per generation, and let you keep full rights to your tracks.

## The short answer The best open-source AI music generators in 2026 are **MusicGen** (Meta's audiocraft library, 23,532 stars, MIT), **Bark** (39,219 stars, MIT) for text-prompted audio including music, and **Stable Audio Open** (stable-audio-tools, 3,832 stars, MIT). All run locally on a GPU, generate royalty-free tracks, and cost nothing per generation. ## MusicGen - the workhorse - Generates music from text descriptions: "upbeat electronic track with a driving bassline, 90 BPM". - Melody conditioning: hum or upload a melody, and it generates around it. - Model sizes: small (300M), medium (1.5B), large (3.3B) params. - Runs on a single consumer GPU (8-16GB VRAM for medium). ```python from audiocraft.models import MusicGen model = MusicGen.get_pretrained('facebook/musicgen-medium') model.set_generation_params(duration=15) wav = model.generate(['upbeat electronic track, 90 BPM']) # save wav... ``` ## Bark - the multi-talented Bark generates speech, music, sound effects and even nonverbal sounds (laughter, sighs) from text. Its music ability is rougher than MusicGen but it is a single model for both voice-over and background music - useful for video creators. ## Stable Audio Open - the practical one - Optimized for 44.1kHz stereo up to ~47 seconds at 1.0 version. - Fine-tunable: Stability released training recipes, so you can tune it on your own dataset for consistent genre output. - Permissive licensing with Stability's terms; check the model card for commercial-use conditions. ## Which to pick | Need | Tool | |:-----|:-----| | Full tracks from text | MusicGen | | Music + voice + SFX in one model | Bark | | Fine-tuned genre consistency | Stable Audio Open | ## FAQ **Can I use generated music commercially?** With open models running locally, you own your generations; verify each model's license terms (all three above permit commercial use of outputs, but confirm on the model card). **What hardware do I need?** MusicGen medium runs on 8-16GB VRAM; Bark on similar. CPU-only is painfully slow - use a GPU or a $0.30/hr cloud GPU. **How do they compare to Suno?** Suno produces more polished full songs (vocals included), but is SaaS with usage limits; open models give unlimited local generations and full control. ## Related - [AI Podcast Generator Tools 2026](/post/ai-podcast-generator-tools-20260802) - [AI Voice Over Generator Guide 2026](/post/kokoro-ai-voice-over-20260803)