Música com IA
YuE
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
★ 10,8 mil estrelasApache-2.0
Ver o guia →MuLaCover é um projeto de música com IA de código aberto de HeartMuLa (HeartMuLa/MuLaCover no GitHub). Tem 103 estrelas no GitHub e 10 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 26 de setembro de 2026.
Controllable AI cover songs and remixes from reference audio or MIDI.
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/HeartMuLa/MuLaCover.git
cd MuLaCoverEvery 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.
Apache 2.0 licensed — commercial use is allowed with attribution.
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 2026-09-26 with 10 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
Suno-like music generation studio for HeartMuLa/heartlib - AI-powered music creation with reference audio style transfer
A curated MIDI dataset built for training precise music AI models.
ComfyUI nodes for multilingual AI songs with lyrics via HeartMuLa.
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YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
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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
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Mobile app that splits songs into stems with on-device deep learning.
Research code for instruction-based text-to-music editing of music models.
Emotion-aware music recommender that reads text, speech, and faces.
Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.