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<!-- PROJECT LOGO -->
<br />
<div align="center">

  <h3 align="center">GTFO_Character_Voice_models</h3>
  
  [中文版](README_ZH.md)
</div>

  


<!-- TABLE OF CONTENTS -->
<details>
  <summary>Table of Contents</summary>
  <ol>
    <li>
      <a href="#about-the-project">About The Project</a>
    </li>
    <li>
      <a href="#getting-started">Getting Started</a>
    </li>
    <li><a href="#license">License</a></li>
    <li><a href="#contact">Contact</a></li>
  </ol>
</details>

<br/></br>
<!-- ABOUT THE PROJECT -->
## 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:
* [Hacket](https://youtu.be/eX5f9dVZP2A)
* [Woods](https://www.youtube.com/watch?v=UE5h4AowjoU)
* [Dauda](https://www.youtube.com/watch?v=kgdOFGUQMVA)
* [Bishop](https://www.youtube.com/watch?v=OJp-yALvqGU)


Trained with [so-vits-svc](https://github.com/svc-develop-team/so-vits-svc/tree/4.0)



<!-- GETTING STARTED -->
## Getting Started

To use the models, you need to follow the instructions on [so-vits-svc](https://github.com/svc-develop-team/so-vits-svc/tree/4.0) or [so-vits-svc-fork](https://github.com/voicepaw/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 EXAMPLES -->
## 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. 
* Fusion model = cluster model
* You might not see the option for diffusion as it is a new feature, it is only provided in some versions of so-vits-forks





<!-- LICENSE -->
## License

Distributed under the MIT License. See `LICENSE.txt` for more information.
If used, please attatch link to the repo.



<!-- CONTACT -->
## Contact

NAinfini - na.infini@gmail.com

NA infini#6457 -Discord

Project Link: [GTFO_Character_Voice_models](https://github.com/NAinfini/GTFO_Character_Voice_models_sovits4.0)

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{}
region:us
TAGS
#region-us 


<a name="readme-top"></a>





<br />
<div align="center">

  <h3 align="center">GTFO_Character_Voice_models</h3>
  
  中文版
</div>

  



<details>
  <summary>Table of Contents</summary>
  <ol>
    <li>
      <a href="#about-the-project">About The Project</a>
    </li>
    <li>
      <a href="#getting-started">Getting Started</a>
    </li>
    <li><a href="#license">License</a></li>
    <li><a href="#contact">Contact</a></li>
  </ol>
</details>

<br/></br>

## 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:
* Hacket
* Woods
* Dauda
* Bishop


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.



## 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. 
* Fusion model = cluster model
* You might not see the option for diffusion as it is a new feature, it is only provided in some versions of so-vits-forks






## License

Distributed under the MIT License. See 'URL' for more information.
If used, please attatch link to the repo.




## Contact

NAinfini - URL@URL

NA infini#6457 -Discord

Project Link: GTFO_Character_Voice_models

<p align="right">(<a href="#readme-top">back to top</a>)</p>


## 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:
* Hacket
* Woods
* Dauda
* Bishop


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. ## 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. 
* Fusion model = cluster model
* You might not see the option for diffusion as it is a new feature, it is only provided in some versions of so-vits-forks ## License

Distributed under the MIT License. See 'URL' for more information.
If used, please attatch link to the repo. ## Contact

NAinfini - URL@URL

NA infini#6457 -Discord

Project Link: GTFO_Character_Voice_models

<p align="right">(<a href="#readme-top">back to top</a>)</p>
TAGS
#region-us 
 ## 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:
* Hacket
* Woods
* Dauda
* Bishop


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. ## 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. 
* Fusion model = cluster model
* You might not see the option for diffusion as it is a new feature, it is only provided in some versions of so-vits-forks ## License

Distributed under the MIT License. See 'URL' for more information.
If used, please attatch link to the repo. ## Contact

NAinfini - URL@URL

NA infini#6457 -Discord

Project Link: GTFO_Character_Voice_models

<p align="right">(<a href="#readme-top">back to top</a>)</p>