metadata

license: mit
language:
  - en
metrics:
  - accuracy
pipeline_tag: audio-to-audio
tags:
  - rvc
  - rvc v2

RVC v2 Jinx Voice Model from League of Legends (350 Epochs)

Art by Radaiik

How to use?

1)Download the RVC v2 model, which is provided as a 7zip archive file. 2)Use a 7zip archive tool to unzip and extract the contents of the downloaded file. 3)Move the extracted model files into this directory. Ensure they are placed within the appropriate subfolder for models, if applicable to your project's structure.

Run RVC online

Google Colab (Official) - https://colab.research.google.com/github/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/blob/main/Retrieval_based_Voice_Conversion_WebUI.ipynb
Appolo RVC Google Colab (Fork) - https://colab.research.google.com/github/iahispano/applio/blob/master/assets/Applio.ipynb
Replicate by zsxkib - https://replicate.com/zsxkib/realistic-voice-cloning

Infromation

Creator: Kre1
Voice Inspiration: Riot Games
Data Source: High-quality, bit perfect sourced audio from League of Legends

About the model training

Trained for 350 epochs
Trained on 13.06 minutes (786 seconds) of original data from League of Legends
Used a sample rate of 48 kHz
Used the rmvpe_gpu method
Used RVC version 2