metadata

license: openrail
title: RVC TTS
sdk: gradio
emoji: 💻
colorFrom: green
colorTo: green
short_description: RVC TTS HUGGING FACE VERSION

title: {{title}} emoji: {{emoji}} colorFrom: {{colorFrom}} colorTo: {{colorTo}} sdk: {{sdk}} sdk_version: {{sdkVersion}} app_file: app.py pinned: false

RVC Text-to-Speech

This is a text-to-speech Gradio webui for RVC models, using edge-tts.

segment :

colab-notebook

Install

Requirements: Tested for Python 3.10 on Windows 11. Python 3.11 is probably not supported, so please use Python 3.10.

git clone https://github.com/Blane187/rvc-tts.git
cd rvc-tts

# Download models in root directory
curl -L -O https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/hubert_base.pt
curl -L -O https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/rmvpe.pt

# Make virtual environment
python -m venv venv
# Activate venv (for Windows)
venv\Scripts\activate


# Install PyTorch manually if you want to use NVIDIA GPU (Windows)
# See https://pytorch.org/get-started/locally/ for more details
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118

# Install requirements
pip install -r requirements.txt

Locate-RVC-models

Place your RVC models in weights/ directory as follows:

weights
├── model1
│   ├── my_model1.pth
│   └── my_index_file_for_model1.index
└── model2
    ├── my_model2.pth
    └── my_index_file_for_model2.index
...

Each model directory should contain exactly one .pth file and at most one .index file. Directory names are used as model names.

It seems that non-ASCII characters in path names gave faiss errors (like weights/モデル1/index.index), so please avoid them.

Launch

# Activate venv (for Windows)
venv\Scripts\activate

python app.py

Update

git pull
venv\Scripts\activate
pip install -r requirements.txt --upgrade

Troubleshooting

error: Microsoft Visual C++ 14.0 or greater is required. Get it with "Microsoft C++ Build Tools": https://visualstudio.microsoft.com/visual-cpp-build-tools/
      [end of output]

  note: This error originates from a subprocess, and is likely not a problem with pip.
  ERROR: Failed building wheel for fairseq
Failed to build fairseq
ERROR: Could not build wheels for fairseq, which is required to install pyproject.toml-based projects

Maybe fairseq needs Microsoft C++ Build Tools. Download installer and install it.