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DiffSinger

API—OSS—FREEyesDOCS4/5
DI5.8#9 of 25
—Web—Windows—Mac—Linux—Android—iOS

Ranked in AI Singing Voice Generators ·Free plan

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About

DiffSinger is a self-hosted singing voice synthesis system built around a shallow diffusion mechanism. Its maintained version produces audio at 44.1 kHz, compared with 24 kHz in the original, and incorporates improved acoustic models and faster diffusion sampling algorithms. Variance models and parameters let users predict and control pitch, energy, breathiness, and other vocal qualities. The linked MakeDiffSinger project supplies dataset-building pipelines, including tools for slicing and labeling recordings. The workflow covers preparing datasets, training models, and running inference on DS files with variance or acoustic models. Deployment uses ONNX, and the repository links OpenUtau and DiffScope as production or deployment projects; DiffScope, an editor powered by DiffSinger, is under development. The project is free and open source under Apache-2.0, with commercial use allowed. Users provide their own data and assets. The guide requires Python 3.10 or later and recommends PyTorch 2.4.0 or later. The project prohibits generating a person's voice without their consent.

Who it is for

DiffSinger suits singing voice synthesis developers and production teams prepared to self-host, supply their own data and assets, and work through model training and inference. It is intended for production deployment and the singing voice synthesis community.

What is good

  • 44.1 kHz maintained-version audio output
  • Controls pitch, energy, and breathiness
  • MakeDiffSinger includes dataset preparation tools
  • ONNX deployment format
  • Commercial use allowed under Apache-2.0

What to know first

  • Users must prepare their own data and assets
  • Requires Python 3.10 or later
  • PyTorch 2.4.0 or later is recommended
  • DiffScope is under development

Verdict

DiffSinger offers a self-hosted workflow for teams that need control over singing voice synthesis and can manage their own datasets and models. Its consent restriction and ONNX deployment format are important considerations for production use.

Compared on AI singing voice generators

Vocal input
Nogithub.com
MIDI support
Yesgithub.com
Export formats
ONNXgithub.com
Commercial use
allowedgithub.com

Facts

Purpose
DiffSinger is a singing voice synthesis system based on a shallow diffusion mechanism.github.com · 4 Oct 2026
Audio quality
The maintained version adapts synthesized audio to a 44.1 kHz sampling rate instead of the original 24 kHz.github.com · 4 Oct 2026
Model improvements
The project integrates improved acoustic models and diffusion sampling acceleration algorithms.github.com · 4 Oct 2026
Control
Variance models and parameters allow prediction and control of pitch, energy, breathiness, and other aspects.github.com · 4 Oct 2026
Dataset tools
The linked MakeDiffSinger project provides pipelines and tools for building DiffSinger datasets, including recording slicing and labeling tools.github.com · 4 Oct 2026
Installation
The getting-started guide requires Python 3.10 or later and recommends PyTorch 2.4.0 or later.github.com · 4 Oct 2026
Training and inference
The guide describes preprocessing datasets, training models, and running inference on DS files using variance or acoustic models.github.com · 4 Oct 2026
Deployment
The guide states that DiffSinger uses ONNX as its deployment format.github.com · 4 Oct 2026
Editor integration
The repository links OpenUtau and DiffScope as deployment or production projects; DiffScope is described as an editor powered by DiffSinger and is under development.github.com · 4 Oct 2026
Security and consent
The repository prohibits using its functionality to generate someone's voice without that person's consent.github.com · 4 Oct 2026
Model distribution
The getting-started guide includes a utility to remove speaker embeddings from a checkpoint for data security when distributing models.github.com · 4 Oct 2026
Support
The project points users to tutorials, GitHub issues and discussions, and QQ and Discord communication groups.github.com · 4 Oct 2026
Intended users
The project says its functionality is designed for production deployment and the singing voice synthesis community.github.com · 4 Oct 2026

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