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--- |
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license: mit |
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language: |
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- en |
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metrics: |
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- accuracy |
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pipeline_tag: audio-to-audio |
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tags: |
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- rvc |
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- rvc v2 |
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--- |
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# <center> RVC v2 Jinx Voice Model from League of Legends (350 Epochs) |
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Art by Radaiik |
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# How to use? |
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1)Download the RVC v2 model, which is provided as a 7zip archive file. |
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2)Use a 7zip archive tool to unzip and extract the contents of the downloaded file. |
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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. |
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# Run RVC online |
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* Google Colab (Official) - https://colab.research.google.com/github/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/blob/main/Retrieval_based_Voice_Conversion_WebUI.ipynb |
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* Appolo RVC Google Colab (Fork) - https://colab.research.google.com/github/iahispano/applio/blob/master/assets/Applio.ipynb |
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* Replicate by zsxkib - https://replicate.com/zsxkib/realistic-voice-cloning |
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# <center> Infromation |
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* Creator: Kre1 |
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* Voice Inspiration: Riot Games |
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* Data Source: High-quality, bit perfect sourced audio from League of Legends |
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# About the model training |
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* Trained for 350 epochs |
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* Trained on 13.06 minutes (786 seconds) of original data from League of Legends |
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* Used a sample rate of 48 kHz |
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* Used the rmvpe_gpu method |
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* Used RVC version 2 |