---
license: mit
language:
- id
- en
---

<img src="https://huggingface.co/Ninaxaep/NinaNinuv2/resolve/main/Pic.jpg" alt="NinaNinuv2 Project Image" width="500" height="500">


## 🔉 AUDIO

<audio controls>
  <source src="https://huggingface.co/Ninaxaep/NinaNinuv2/resolve/main/Audio.wav" type="audio/wav">
  Your browser does not support the audio tag.
</audio>

## Known Bug 
* The "S" Letter kinda robotics

# NinaNinuv2 RVC MODEL

**NinaNinuv2** is a custom voice conversion model built using the **Retrieval-based Voice Conversion (RVC)** framework. This model is designed to provide high-quality voice transformations for various applications, offering precise control over voice characteristics. It has been trained for **500 epochs** to enhance its performance and accuracy.

## 🚀 Model Overview

The **NinaNinuv2** RVC model utilizes a robust architecture that combines fast and efficient retrieval techniques with powerful voice transformation capabilities. It was trained to offer optimal performance for real-time voice conversion with minimal latency.

### Key Files:
- **`ninaninuv2.pth`**: The main model weights.
- **`added_IVF818_Flat_nprobe_1_ninaninuv2v2.index`**: The index file for efficient voice feature retrieval.

## 💡 Features

- **High-Quality Voice Conversion**: Preserves the naturalness of the voice while offering a smooth transformation.
- **Efficient Inference**: Leverages optimized indexing techniques for fast, real-time voice conversion.
- **Customizable**: Suitable for a wide range of voice transformation use cases.

## 🔧 How to Use

Download and run RVC v2

- [RVC v2](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI)
- [RVC Easy Gui "interface only"](https://github.com/Tiger14n/RVC-GUI)
- [RVC Mangio](https://github.com/Mangio621/Mangio-RV)