🌙 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
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 |
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
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Voice Cloning – Convert your voice into a professional singing voice.
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Streaming – Real-time voice conversion for content creators.
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Dubbing – High-quality voice conversion for movies & animations.
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Music Production – Transform any vocal track into a new singer’s voice.
System Requirements
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OS: Windows / Linux
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Python: 3.8+
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GPU: NVIDIA (6GB VRAM minimum recommended)
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CUDA: 11.7+
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Torch: 1.13.1+
Contact
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For support, queries, or collaboration:
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Name: Issac Moses D
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Email: issacmsoes19082005@gmail.com
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Hugging Face: IssacMosesD
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GitHub: Issac Moses D
Collaburator
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Name: Dharani Karnan
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Email: dharanikarnan18@gmail.com
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Hugging Face: Dharani K
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GitHub: Dharani K