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vits2
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vits2

VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Design

by daniilrobnikov · GitHub
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deep-learningpytorchspeechMITJupyter Notebook
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Convert text into natural-sounding speech using an improved single-stage model.

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2026-07-202026-08-31
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VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Design

vits2 has 642 stars on GitHub. It has been forked 73 times. vits2 is written mainly in Jupyter Notebook. It has been in active development since 2023. vits2 is available under the MIT license. Its main topics are deep-learning, pytorch, speech, speech-synthesis.

Frequently asked questions

What is vits2?

VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Design

Is vits2 open source?

vits2 is an open-source project. It is released under the MIT license.

Is vits2 free?

Yes. vits2 is free and open source — you can use, modify and self-host it.

What license does vits2 use?

vits2 is available under the MIT license.

What language is vits2 written in?

vits2 is written mainly in Jupyter Notebook.

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