đ´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.
Download the file for an NVIDIA GPU or for an AMD/INTEL GPU.
Download and run WinRAR
Then, right-click on the RVC V2 file and click on "Extract.
Run go-web.bat to launch the RVC web interface
A popup window will appear, please check both boxes:
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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