---
title: Sing For Me
emoji: 😻
colorFrom: blue
colorTo: red
sdk: gradio
sdk_version: 3.40.1
app_file: app.py
pinned: false
license: openrail
---
# Multi-Model RVC Inference
### Simplified RVC Inference for HuggingFace or Google Colab
[](https://github.com/ArkanDash/Multi-Model-RVC-Inference/blob/master/LICENSE)
[](https://github.com/ArkanDash/Multi-Model-RVC-Inference)
### Information
Please support the original RVC, without it, this inference wont be possible to make.
[](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI)
#### Features
- Support V1 & V2 Model ✅
- Youtube Audio Downloader ✅
- Demucs (Voice Splitter) [Internet required for downloading model] ✅
- TTS Support ✅
- Microphone Support ✅
- HuggingFace Spaces Inference [FREE TIER CPU] ✅
- Remove Youtube & Input Path ✅
- Remove Crepe Support due to gpu requirement ✅
### Installation
1. Install Requirement
```bash
pip install torch torchvision torchaudio
pip install -r requirements.txt
```
2. Install [ffmpeg](https://ffmpeg.org/)
3. Download [Hubert Model](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/hubert_base.pt)
4. [OPTIONAL] To use rmvpe pitch extraction, download this [rvmpe.pt](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/rmvpe.pt)
5. Run WebUI
```bash
python app.py
```
# Other Inference
[](https://github.com/ArkanDash/Multi-Model-RVC-Inference)
[Advanced RVC Inference](https://github.com/ArkanDash/rvc-simple-inference)