jaywalnut310/vitsGitHub
calls vits2 “choose for improved VITS-based quality/efficiency as a successor, but expect to adapt code.”
VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
7.9kPythondormant
vits2 is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named vits2 among their alternatives. The relationship is not symmetric — how vits2 rates them is a separate judgement, made when vits2 is analysed in its own right.
calls vits2 “choose for improved VITS-based quality/efficiency as a successor, but expect to adapt code.”
VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech