No. 7 of 25 ·AI Singing Voice Generators

DiffSinger

Self-hosted

Freedom report

Two barsScore 6.3

Free tierA free tier is on its own pricing page
Open codeNo open-source code on record
Runs widely0 of 6 device platforms
DocumentedPlans, terms and facts published

DiffSinger is ranked #7 of 25 in AI singing voice generators on Freedom251. It runs on Self-hosted. There is a free plan.

DiffSinger plans and pricing

All plans

DiffSinger Free Apache-2.0 licensed repository · requires Python 3.10 or later · users prepare their own data and assets github.com · 4 Oct 2026

Compared on AI singing voice generators

Vocal input: No
MIDI support: Yes
Export formats: ONNX
Commercial use: allowed

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The record

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

Where it ranks on Freedom251

Best AI Singing Voice Generators in 2026#7 of 25

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Sources

github.com/openvpi/DiffSinger· checked 4 Oct 2026
github.com/openvpi/MakeDiffSinger· checked 4 Oct 2026
github.com/openvpi/DiffSinger/blob/main/docs/Getti· checked 4 Oct 2026