KI-Musik
YuE
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
★ 10,8 Tsd. SterneApache-2.0
Anleitung ansehen →voirs ist ein Open-Source-Projekt aus der Kategorie KI-Musik von cool-japan (cool-japan/voirs auf GitHub). Es hat 46 Sterne auf GitHub und 5 Forks, wird unter der Lizenz Custom veröffentlicht und wurde zuletzt am 16. September 2026 auf GitHub aktualisiert.
Rust voice framework: TTS, recognition, and sound in one fast stack.
Give a style prompt, lyrics, or reference audio to steer the generation.
The model composes melody, arrangement, and sometimes vocals.
Regenerate sections, separate stems, or adjust the arrangement.
Download the finished track for sharing, video, or release.
Turns a written prompt into a full musical idea.
Steers genre, mood, and instrumentation with tags or references.
Splits tracks into vocals, drums, bass, and more for remixing.
Many tools run open music models on your own hardware.
Gets compositions as editable MIDI, not just flat audio.
Exports audio and MIDI that drop straight into your workflow.
Download the source and move into the project folder.
git clone https://github.com/cool-japan/voirs.git
cd voirsEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project’s launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandOften yes, but it depends on the model license and your local rules on AI-generated works — verify before releasing.
It uses a custom license — read the LICENSE file in the repo before using it commercially.
Local generation is much faster with a GPU; some tools also offer cloud APIs as an alternative.
Most tools export standard WAV or MP3. Check the README for sample rates and stem options.
Last pushed 2026-09-16 with 5 forks. Recent commits are the best signal of momentum.
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
List of open-source TTS, voice cloning, and music generation models
AAAI 2025: Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model
The hub for audio AI research: papers, open models, benchmarks & datasets across audio LLMs, speech recognition, TTS, music & audio generation.
One-click AIGC pipeline: image, video, music, and prompts in a single flow.
Extensible Python voice assistant with music control and a web interface.
Die anderen Projekte der Kategorie KI-Musik mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls voirs nicht das Richtige ist.
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
🎵 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 — 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
Official DiffSinger code: diffusion-based singing voice synthesis and text-to-speech (AAAI 2022)
Stable Audio Tools — training and inference code for Stability's audio generation models, including Stable Audio Open, MIT
Verwandte Projekte der Kategorie KI-Musik im Katalog, die voirs bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Run stemgen-rt locally: stemgenrt is a real-time low-latency music source separ.
Loss functions for training audio source separation models.
Run splifft locally: lightweight utilities for music source separation and t.
Open source AI-driven SaaS that generates original music.
Open-source AI music SaaS: full tracks with cover art from a text prompt.
Split songs into stems on Apple Silicon with MLX-powered Demucs.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.