LibreAI / Música con IA / DiffSinger
// ai-music · MoonInTheRiver/DiffSinger

DiffSinger

DiffSinger es un proyecto de música con IA de código abierto de MoonInTheRiver (MoonInTheRiver/DiffSinger en GitHub). Tiene 4.875 estrellas en GitHub y 830 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 24 de julio de 2026.

Official DiffSinger code: diffusion-based singing voice synthesis and text-to-speech (AAAI 2022)

★ 4,9k estrellas⑂ 830 bifurcacionesMITactualizado jul 2026
▦ visual: el README de este proyecto no incluye ninguna captura incrustable,
así que aquí va un marcador. La guía de abajo está completa de todos modos.
// datos del proyecto

Datos del proyecto

Estrellas en GitHub
4.875
Bifurcaciones
830
Licencia
MIT
Última actualización en GitHub
24 de julio de 2026
Categoría
Música con IA
Tipo de ficha
Guía de instalación completa
// cómo funciona

Cómo funciona

  1. Choose SVS or TTS

    Decide whether you want singing synthesis (lyrics + F0 or MIDI input) or the DiffSpeech text-to-speech variant.

  2. Clone and set up the environment

    Clone the repo and create the documented Conda or venv environment for your GPU/CUDA version.

  3. Install dependencies

    Install the requirements file matching your hardware, as listed in the README.

  4. Run inference

    Download a checkpoint, follow the SVS or TTS document, and synthesize your first utterance or song line.

// características

Por qué gusta tanto

Shallow diffusion mechanism

The paper's core contribution: diffusion applied at a shallow stage for faster, high-quality mel-spectrogram generation.

Singing voice synthesis

Generate singing from lyrics with ground-truth F0, or from lyrics + MIDI with explicit F0 prediction, on PopCS/OpenCpop pipelines.

DiffSpeech TTS included

A text-to-speech variant in the same framework, trained on LJSpeech with a HiFiGAN vocoder.

PNDM acceleration plug-in

Optional DiffSinger-PN adds the PNDM sampler to speed up diffusion sampling.

Multiple vocoders

NSF-HiFiGAN for singing pipelines and HiFiGAN for TTS, per the README's pipeline table.

Training and inference code

Full official code with documented SVS/TTS run guides and TensorBoard logging, not just a demo.

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// ejecútalo

Ejecútalo tú mismo

  1. Clone the repository

    Clone the project and enter its directory.

    git clone https://github.com/MoonInTheRiver/DiffSinger.git
    cd DiffSinger
  2. Create the environment

    Create and activate a Python 3.8 Conda environment as documented.

    conda create -n your_env_name python=3.8
    conda activate your_env_name
  3. Install requirements for your GPU

    Pick 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 README
// casos de uso

Qué puedes crear

Also on this shelf: Contextual-Music-Crafter — Compose multi-track MIDI with Gemini and DeepSeek.

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// preguntas frecuentes

Preguntas frecuentes

Who maintains DiffSinger?

It is the authors' official repository (MoonInTheRiver), with later maintenance help noted from Team Openvpi; the paper appeared at AAAI 2022.

Is DiffSinger free?

Yes, the code is MIT-licensed. Pretrained checkpoints and datasets (PopCS, OpenCpop, LJSpeech) have their own terms — check each before commercial use.

Does it need a paid API key?

No. Everything runs locally on your own GPU; there is no hosted API involved.

How does it compare to later tools like OpenVPI's DiffSinger fork?

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.

How do I get started?

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.

// sigue explorando

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// alternativas

Alternativas en Música con IA

Los demás proyectos de Música con IA con más estrellas del catálogo de LibreAI: la lista realista de alternativas si DiffSinger no es lo que buscas.

// más en ai-music

Más en Música con IA

Proyectos de Música con IA cercanos en el catálogo, los más próximos en estrellas a DiffSinger: sigue explorando a ambos lados.

Consigue DiffSinger

Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.