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NAinfini/
GTFO_Character_models

Name: GTFO_Character_models
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GTFO_Character_Voice_models

中文版

Table of Contents

About The Project
Getting Started
License
Contact

About The Project

This project provides trained models for audio to audio simulation using so-vits-4.1, as training the model is resource intensive, but not so much for infering an audio. Every model included has been trained for at least 20K steps

This repo includes:

All data sets used to train the models
Default model
Diffusion model
Fusion model
Sample of model

Dataset Source:

Trained with so-vits-svc

Getting Started

To use the models, you need to follow the instructions on so-vits-svc or so-vits-svc-fork for a better GUI and easier inference as no training is required.

Dragging the folder into the so-vits-svc folder should work right away, otherwise, move models to designated folder based on description.

so-vits-svc-4.1
    │
    ├───configs
    │      ├───config.json - config file for default training
    │      └───diffusion.yaml - config file for diffusion training
    │   
    └───logs
          └───44k
                ├───G_(name of character).pth - Default model
                ├───(name of character)Kmeans.pt - fusion model
                └───diffusion
                        └───(name of character).pt - difussion model for character

data_set - dataset used for training, audio cut to slices.

Usage

Select Default model, diffusion model, fusion model and respective config for training. Note: Update the speaker in the config file to avoid key errors. "Hacket_data_set,Dauda_data_set,Bishop_data_set,Woods_data_set" If that does not work, try using pre process a folder with such names, and preconfig to set all configs with the same voice name.