AI音楽
instruct-MusicGen
Research code for instruction-based text-to-music editing of music models.
★ 111 スターApache-2.0
ガイドを見る →DiffSingerは、MoonInTheRiverが公開しているオープンソースのAI音楽プロジェクトです（GitHub: MoonInTheRiver/DiffSinger）。GitHubスターは4,875、フォークは830で、MITライセンスの下で公開されています。GitHubでの最終更新は2026年7月24日です。
Official DiffSinger code: diffusion-based singing voice synthesis and text-to-speech (AAAI 2022)
Decide whether you want singing synthesis (lyrics + F0 or MIDI input) or the DiffSpeech text-to-speech variant.
Clone the repo and create the documented Conda or venv environment for your GPU/CUDA version.
Install the requirements file matching your hardware, as listed in the README.
Download a checkpoint, follow the SVS or TTS document, and synthesize your first utterance or song line.
The paper's core contribution: diffusion applied at a shallow stage for faster, high-quality mel-spectrogram generation.
Generate singing from lyrics with ground-truth F0, or from lyrics + MIDI with explicit F0 prediction, on PopCS/OpenCpop pipelines.
A text-to-speech variant in the same framework, trained on LJSpeech with a HiFiGAN vocoder.
Optional DiffSinger-PN adds the PNDM sampler to speed up diffusion sampling.
NSF-HiFiGAN for singing pipelines and HiFiGAN for TTS, per the README's pipeline table.
Full official code with documented SVS/TTS run guides and TensorBoard logging, not just a demo.
Clone the project and enter its directory.
git clone https://github.com/MoonInTheRiver/DiffSinger.git
cd DiffSingerCreate and activate a Python 3.8 Conda environment as documented.
conda create -n your_env_name python=3.8
conda activate your_env_namePick the requirements file matching your GPU/CUDA (2080Ti/CUDA 10.2 or 3090/CUDA 11.4 examples in the README), then follow the SVS/TTS docs to run inference.
pip install -r requirements_3090.txt # or requirements_2080.txt — see READMEAlso on this shelf: Contextual-Music-Crafter — Compose multi-track MIDI with Gemini and DeepSeek.
It is the authors' official repository (MoonInTheRiver), with later maintenance help noted from Team Openvpi; the paper appeared at AAAI 2022.
Yes, the code is MIT-licensed. Pretrained checkpoints and datasets (PopCS, OpenCpop, LJSpeech) have their own terms — check each before commercial use.
No. Everything runs locally on your own GPU; there is no hosted API involved.
This is the original research implementation the community forks build on; forks such as OpenVPI's add newer editors and workflows, while this repo remains the reference for the paper's method.
Clone the repo, create the Python 3.8 environment from the README, install the requirements file for your GPU, then follow the linked 'Run DiffSinger (SVS)' or 'Run DiffSpeech (TTS)' document.
Research code for instruction-based text-to-music editing of music models.
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LibreAIカタログに掲載されたAI音楽プロジェクトの中で最もスターの多いもの — DiffSingerが合わなかった場合に検討したい、現実的な候補リストです。
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
Stable Audio Tools — training and inference code for Stability's audio generation models, including Stable Audio Open, MIT
Use API to call the music generation AI of suno.ai, and easily integrate it into agents like GPTs.
カタログの中でDiffSingerとスター数が近いAI音楽プロジェクト — 前後の棚もそのまま見て回れます。
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
Stable Audio Tools — training and inference code for Stability's audio generation models, including Stable Audio Open, MIT
🎵 The Ultimate Open Source Suno Alternative - Professional UI for ACE-Step 1.5 AI Music Generation. Free, local, unlimited. Stop paying for Suno!
Use API to call the music generation AI of suno.ai, and easily integrate it into agents like GPTs.
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
DiffRhythm — blazingly fast, embarrassingly simple full-length song generation with latent diffusion: complete songs with vocals from lyrics and a style prompt, Apache-2.0