🔴RVC V2

It's old now but still usable

his guide is usable but not updated anymore, for Applio : Applio

Make sure you have already installed Python 3.8 or a higher version. Don't forget to check the two boxes at the bottom before proceeding with the installation.

  1. Download the file for an NVIDIA GPU or for an AMD/INTEL GPU.

  2. Download and run WinRAR

  3. Then, right-click on the RVC V2 file and click on "Extract.

  4. Run go-web.bat to launch the RVC web interface

  5. A popup window will appear, please check both boxes:

Pare-feu Windows Defender

You can also run the install_easyGUI.bat file if you want to install rejekts' easyGUI interface for more information: How to install EasyGUI locally:

If you don't have a powerful graphics card (GPU), consider using Google Colab.

To avoid bugs, make sure the path to the RVC folder does not contain any spaces.

How to install EasyGUI locally:

EasyGUI is a custom interface created by "rejekts" to simplify tasks. If you don't have the "install_easyGUI.bat" file in your RVC folder, you can find it as a zip file here.

Extract it into the RVC folder and run the "install_easyGUI.bat" file to install it. Once the installation is complete, running "run_easiergui.bat" will launch the easy graphical interface.

How to import models locally:

The "/weights/" folder contains the .pth files. The "/logs/" folder should have a folder for each .pth file, and inside the model's logs folder, you place the .index file of the model. It looks like this:

/RVC-beta/weights/InoxtagV2.pth

/RVC-beta/logs/InoxtagV2/added_IVF393_Flat_nprobe_1_v2.index

For training and cover tasks, the same procedure as in Google Colab is followed. To run Tensorboard locally, execute the "Launch_Tensorboard" file.

Follow this guide for the basics of use and for more information (yes, it's intended for Google Colab and is in English, but the same principles apply).

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