File size: 2,019 Bytes
89c20d8 82e5881 89c20d8 475a366 7aac3d6 3e8293e 82e5881 cc4423e 3e8293e 82e5881 cc4423e fd4c700 6aa2c76 3e8293e cc4423e fc9bfa3 3e8293e cc4423e 3e8293e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 |
---
license: mit
language:
- en
metrics:
- accuracy
pipeline_tag: audio-to-audio
tags:
- rvc
- rvc v2
---
# <center> 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
# <center> 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 |