AI Music
YuE
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
★ 10.8k starsApache-2.0
View guide →// ai-music · cool-japan/voirs
voirs
voirs is an open-source ai music project by cool-japan (cool-japan/voirs on GitHub). It has 46 GitHub stars and 5 forks, is released under the Custom license, and was last updated on GitHub on 16 September 2026.
Rust voice framework: TTS, recognition, and sound in one fast stack.
💎 Hidden gem★ 46 stars⑂ 5 forksCustomupdated 2026-09
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
so here's a placeholder. The guide below is complete regardless.
// project facts
Project facts
- Repository
- cool-japan/voirs
- GitHub stars
- 46
- Forks
- 5
- License
- Custom
- Last updated on GitHub
- 16 September 2026
- Category
- AI Music
- Listing
- Hidden gem — a shorter page for a lesser-known project
- Official site
- GitHub
// how it works
How it works
- Describe the sound
Give a style prompt, lyrics, or reference audio to steer the generation.
- Generate the track
The model composes melody, arrangement, and sometimes vocals.
- Refine the result
Regenerate sections, separate stems, or adjust the arrangement.
- Export your audio
Download the finished track for sharing, video, or release.
// features
Why people love it
Text-to-music
Turns a written prompt into a full musical idea.
Style control
Steers genre, mood, and instrumentation with tags or references.
Stem separation
Splits tracks into vocals, drums, bass, and more for remixing.
Local models
Many tools run open music models on your own hardware.
MIDI output
Gets compositions as editable MIDI, not just flat audio.
DAW-friendly
Exports audio and MIDI that drop straight into your workflow.
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// run it
Run it yourself
- Step 1 — Clone the repo
Download the source and move into the project folder.
git clone https://github.com/cool-japan/voirs.git cd voirs - Step 2 — Check the README
Every project documents its own setup; start with install requirements.
cat README.md | head -60 - Step 3 — Run it
Follow the project’s launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch command
// use cases
What you can build
- Build TTS into Rust apps.
- Add voice recognition pipelines.
- Process audio at high speed.
- Unify voice crates in one API.
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// faq
Questions, answered
Can I use the music commercially?
Often yes, but it depends on the model license and your local rules on AI-generated works — verify before releasing.
What license is the code under?
It uses a custom license — read the LICENSE file in the repo before using it commercially.
Do I need a GPU?
Local generation is much faster with a GPU; some tools also offer cloud APIs as an alternative.
What audio quality do I get?
Most tools export standard WAV or MP3. Check the README for sample rates and stem options.
How active is development?
Last pushed 2026-09-16 with 5 forks. Recent commits are the best signal of momentum.
// keep exploring
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View guide →// alternatives
Alternatives in AI Music
The most-starred other AI Music projects in the LibreAI catalogue — the realistic shortlist if voirs is not the right fit.
- YuE★ 10.8k
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
- ace-step-ui★ 5.0k
🎵 The Ultimate Open Source Suno Alternative - Professional UI for ACE-Step 1.5 AI Music Generation. Free, local, unlimited. Stop paying for Suno!
- ACE-Step★ 5.0k
ACE-Step — the open foundation model for music generation: full songs with vocals and lyrics in 19 languages, up to 4 minutes in about 20 seconds, Apache-2.0
- DiffSinger★ 4.9k
Official DiffSinger code: diffusion-based singing voice synthesis and text-to-speech (AAAI 2022)
- Stable Audio Tools★ 3.9k
Stable Audio Tools — training and inference code for Stability's audio generation models, including Stable Audio Open, MIT
// more in ai-music
More in AI Music
Nearby AI Music projects in the catalogue, closest in stars to voirs — keep exploring the shelf either side of it.
- stemgen-rt★ 46
Run stemgen-rt locally: stemgenrt is a real-time low-latency music source separ.
- torch-l1-snr★ 45
Loss functions for training audio source separation models.
- splifft★ 48
Run splifft locally: lightweight utilities for music source separation and t.
- ai-music-generator★ 43
Open source AI-driven SaaS that generates original music.
- melodyc★ 49
Open-source AI music SaaS: full tracks with cover art from a text prompt.
- demucs-mlx★ 42
Split songs into stems on Apple Silicon with MLX-powered Demucs.
Get voirs
Free and open — grab the source, star the repo, and start creating.