IssacMosesD/Lunar-RVC-Model

🌙 LUNAR - High-Quality Female Voice RVC Model

LUNAR is a state-of-the-art RVC (Retrieval-Based Voice Conversion) model optimized for female voice conversion with studio-grade audio quality at 48kHz sampling rate. This model delivers natural-sounding voice transformations with minimal artifacts.

Performance & Efficiency Metrics

Here are the visual benchmarks of Lunar-RVC:

1. Training Loss Curve

2. Validation Loss Curve

3. Training vs Validation Loss

4. Inference Speed Comparison

5. Audio Quality Scores (MOS)

6. GPU Memory Usage

7. Dataset Duration Distribution

8. Spectral Convergence

9. Model Size Comparison

10. Efficiency Radar Chart

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Key Features

• High-Fidelity Conversion - Produces natural, expressive female voices
• Real-Time Ready - Optimized for low-latency inference (<20ms/frame)
• Pitch & Timbre Control - Flexible voice modulation capabilities
• 48kHz Studio Quality - Professional-grade audio output
• Easy Integration - Compatible with popular voice toolkits

📊 Model Specifications

Parameter	Value
Framework	RVC v2
Sample Rate	48kHz
Bit Depth	16-bit
Model Size	1.8GB
Training Hours	150 epochs (~10h)
VRAM Requirements	4GB+ (inference)
Supported Formats	WAV, MP3, FLAC

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Inference Guide

To use Lunar-RVC for inference:

``` bash
  # Clone repository
  git clone https://huggingface.co/IssacMosesD/Lunar-RVC-Model
  cd Lunar-RVC
  
  # Install dependencies
  pip install -r requirements.txt
  
  # Run inference
  python infer.py --input input.wav --output output.wav --model Lunar-RVC.pth

Use Cases

• Voice Cloning – Convert your voice into a professional singing voice.

• Streaming – Real-time voice conversion for content creators.

• Dubbing – High-quality voice conversion for movies & animations.

• Music Production – Transform any vocal track into a new singer’s voice.

System Requirements

• OS: Windows / Linux

• Python: 3.8+

• GPU: NVIDIA (6GB VRAM minimum recommended)

• CUDA: 11.7+

• Torch: 1.13.1+

Contact

• For support, queries, or collaboration:

• Name: Issac Moses D

• Email: [email protected]

• Hugging Face: IssacMosesD

• GitHub: Issac Moses D

Collaburator

• Name: Dharani Karnan

• Email: [email protected]

• Hugging Face: Dharani K

• GitHub: Dharani K