using-rvc.md 1.8 KB
title: Using Retrieval-based Voice Conversion (RVC)
order: 15
You can find the full documentation for this project on SocAIty/Retrieval-based-Voice-Conversion-FastAPI.
Setting Up RVC Locally
Step 1 - Clone the repository
Clone the repository and navigate to the project directory.
git clone [email protected]:SocAIty/Retrieval-based-Voice-Conversion-FastAPI.git rvc
cd rvc
Step 2 - Run the setup script
Execute the run.sh script to set up the environment.
sh ./run.sh
Step 3 - Open and disconnect the web interface
After running the script, the inference web interface will open. You can disconnect it once it's loaded.
Step 4 - Modify rvc_fastapi.py for CORS support
To allow CORS (Cross-Origin Resource Sharing), add the following two lines to rvc_fastapi.py:
from fastapi.middleware.cors import CORSMiddleware
app.add_middleware(CORSMiddleware, allow_origins=["*"])
Step 5 - Place your model files in the logs and assets/weights directories
You can get voice models from voice-models.com.
Ensure the rvc/logs directory contains the following file:
- Index file: The index file for your voice model, named something like
added_IVF1377_Flat_nprobe_1_{model_name}_v2.index.
Ensure the rvc/assets/weights directory contains the following file:
- Model file: The voice model file, with the extension
.pth, for example{model_name}.pth.
Step 6 - Run the FastAPI server
Once the changes are made and the model is placed in the appropriate directories, run the FastAPI server using the following command:
python rvc_fastapi.py
Make sure RVC is enabled alongside other TTS systems
Settings -> Text-to-Speech -> RVC