metadata
license: mit
language:
- id
- en
pipeline_tag: audio-to-audio
new_version: Ninaxaep/ninaninuv2
Audio Sample
NinaNinuv1 RVC MODEL
NinaNinuv1 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.
🚀 Model Overview
The NinaNinuv1 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:
ninamaddy.pth: The main model weights.added_IVF496_Flat_nprobe_1_ninamaddy_v2.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