V
vits
jaywalnut310/vits
VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
★7.9kstars
Python
MIT
Updated: Today
📋 Project at a Glance
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What's this?A open-source Models project, built with Python, focusing on deep-learning and pytorch
Who made it?Maintained by jaywalnut310 team, 7.9K⭐ on GitHub, #193 out of 3201 in Models
Why does it exist?As the Models landscape evolved, the jaywalnut310 team identified the need for better deep-learning solutions. vits was created to simplify pytorch workflows.
What can it do?Key use cases: speech-synthesis, text-to-speech, tts
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/jaywalnut310/vits | 官网 https://jaywalnut310.github.io/vits-demo/index.html
🔗 github.com/jaywalnut310/vits | 官网 https://jaywalnut310.github.io/vits-demo/index.html
Topics
deep-learningpytorchspeech-synthesistext-to-speechtts