sikandarmoyaldev-rvc
Lightweight, WebUI-free RVC (Retrieval-based Voice Conversion) inference engine for the python project.
📦 Installation
pip install sikandarmoyaldev-rvc
# or
pip install git+https://github.com/sikandarmoyaldev/python-rvc.git
📖 Usage
1. Download Base Models
Before converting, you must download the required base models (HuBERT, RMVPE, etc.).
from rvc import download_base_models
download_base_models("assets")
2. Convert Audio
Initialize the converter with your custom .pth model and convert your audio files.
from rvc import RVCConverter
# Initialize with your model path and assets directory
converter = RVCConverter(model_path="alex.pth", assets_dir="assets")
# Convert a single file (output defaults to "output/input_filename.wav")
output_file = converter.convert(
input_path="group-1.wav", pitch=2, f0_method="rmvpe", index_rate=0.0
)
print(f"Saved to: {output_file}")
🚀 Development
This project uses uv for dependency management.
# Install dependencies
uv sync
# Format and lint code
uv run ruff format .
uv run ruff check . --fix
Metadata
Release files for sikandarmoyaldev-rvc 0.0.2
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Source distribution (sdist)
| File | Size | Uploaded | |
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| sikandarmoyaldev_rvc-0.0.2.tar.gz | 407.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sikandarmoyaldev_rvc-0.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 845.3 kB
Release files / sikandarmoyaldev_rvc-0.0.2.tar.gz
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| Tags | Python 3 |
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