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XTTS-RVC-UI

This is a simple UI that utilize's Coqui's XTTSv2 paired with RVC functionality to improve output quality.

Prerequisites

  • Requires MSVC - VC 2022 C++ x64/x86 build tools.

Usage

Clone this repository:

git clone https://github.com/Vali-98/XTTS-RVC-UI.git

It is recommended to create a venv.

Then, install the requirements:

pip install -r requirements.txt

If you have a CUDA device available, it is also recommended to install PyTorch with CUDA for faster conversions.

pip install torch==2.1.0 torchaudio==2.1.0 --index-url https://download.pytorch.org/whl/cu118

Then run start.bat , start.sh or simply python app.py

This will create the following folders within the project:

\models\xtts
\rvcs
\voices
  • Relevant models will be downloaded into \models. This will be approximately ~2.27GB.
  • You can manually add the desired XTTSv2 model files in \models\xtts.
  • Place RVC models in \rvcs. Rename them as needed. If an identically named .index file exists in \rvcs, it will also be used.
  • Place voice samples in \voices

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A Gradio UI for XTTSv2 and RVC.

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  • Python 100.0%