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< h1 > Retrieval-based-Voice-Conversion-WebUI< / h1 >
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An easy-to-use Voice Conversion framework based on VITS.< br > < br >
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[![madewithlove ](https://forthebadge.com/images/badges/built-with-love.svg )](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI)
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< img src = "https://counter.seku.su/cmoe?name=rvc&theme=r34" / > < br >
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[![Open In Colab ](https://img.shields.io/badge/Colab-F9AB00?style=for-the-badge&logo=googlecolab&color=525252 )](https://colab.research.google.com/github/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/blob/main/Retrieval_based_Voice_Conversion_WebUI.ipynb)
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[![Licence ](https://img.shields.io/github/license/RVC-Project/Retrieval-based-Voice-Conversion-WebUI?style=for-the-badge )](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/blob/main/LICENSE)
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[![Huggingface ](https://img.shields.io/badge/🤗%20-Spaces-yellow.svg?style=for-the-badge )](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/)
[![Discord ](https://img.shields.io/badge/RVC%20Developers-Discord-7289DA?style=for-the-badge&logo=discord&logoColor=white )](https://discord.gg/HcsmBBGyVk)
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------
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[**Changelog** ](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/blob/main/docs/Changelog_EN.md ) | [**FAQ (Frequently Asked Questions)** ](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/wiki/FAQ-(Frequently-Asked-Questions ))
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[**English** ](./README.en.md ) | [**中文简体** ](../README.md ) | [**日本語** ](./README.ja.md ) | [**한국어** ](./README.ko.md ) ([**韓國語**](./README.ko.han.md)) | [**Türkçe** ](./README.tr.md )
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Check our [Demo Video ](https://www.bilibili.com/video/BV1pm4y1z7Gm/ ) here!
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Realtime Voice Conversion Software using RVC : [w-okada/voice-changer ](https://github.com/w-okada/voice-changer )
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> The dataset for the pre-training model uses nearly 50 hours of high quality VCTK open source dataset.
> High quality licensed song datasets will be added to training-set one after another for your use, without worrying about copyright infringement.
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> Please look forward to the pretrained base model of RVCv3, which has larger parameters, more training data, better results, unchanged inference speed, and requires less training data for training.
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## Summary
This repository has the following features:
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+ Reduce tone leakage by replacing the source feature to training-set feature using top1 retrieval;
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+ Easy and fast training, even on relatively poor graphics cards;
+ Training with a small amount of data also obtains relatively good results (>=10min low noise speech recommended);
+ Supporting model fusion to change timbres (using ckpt processing tab->ckpt merge);
+ Easy-to-use Webui interface;
+ Use the UVR5 model to quickly separate vocals and instruments.
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+ Use the most powerful High-pitch Voice Extraction Algorithm [InterSpeech2023-RMVPE ](#Credits ) to prevent the muted sound problem. Provides the best results (significantly) and is faster, with even lower resource consumption than Crepe_full.
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+ AMD/Intel graphics cards acceleration supported.
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## Preparing the environment
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The following commands need to be executed in the environment of Python version 3.8 or higher.
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(Windows/Linux)
First install the main dependencies through pip:
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```bash
# Install PyTorch-related core dependencies, skip if installed
# Reference: https://pytorch.org/get-started/locally/
pip install torch torchvision torchaudio
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#For Windows + Nvidia Ampere Architecture(RTX30xx), you need to specify the cuda version corresponding to pytorch according to the experience of https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/issues/21
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#pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
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```
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Then can use poetry to install the other dependencies:
```bash
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# Install the Poetry dependency management tool, skip if installed
# Reference: https://python-poetry.org/docs/#installation
curl -sSL https://install.python-poetry.org | python3 -
# Install the project dependencies
poetry install
```
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You can also use pip to install them:
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```bash
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for Nvidia graphics cards
pip install -r requirements.txt
for AMD/Intel graphics cards:
pip install -r requirements-dml.txt
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```
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------
Mac users can install dependencies via `run.sh` :
```bash
sh ./run.sh
```
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## Preparation of other Pre-models
RVC requires other pre-models to infer and train.
You need to download them from our [Huggingface space ](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/ ).
Here's a list of Pre-models and other files that RVC needs:
```bash
hubert_base.pt
./pretrained
./uvr5_weights
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If you want to test the v2 version model (the v2 version model has changed the input from the 256 dimensional feature of 9-layer Hubert+final_proj to the 768 dimensional feature of 12-layer Hubert, and has added 3 period discriminators), you will need to download additional features
./pretrained_v2
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#If you are using Windows, you may also need these two files, skip if FFmpeg and FFprobe are installed
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ffmpeg.exe
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https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffmpeg.exe
ffprobe.exe
https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffprobe.exe
If you want to use the latest SOTA RMVPE vocal pitch extraction algorithm, you need to download the RMVPE weights and place them in the RVC root directory
https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/rmvpe.pt
For AMD/Intel graphics cards users you need download:
https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/rmvpe.onnx
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```
Then use this command to start Webui:
```bash
python infer-web.py
```
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If you are using Windows or macOS, you can download and extract `RVC-beta.7z` to use RVC directly by using `go-web.bat` on windows or `sh ./run.sh` on macOS to start Webui.
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## Credits
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+ [ContentVec ](https://github.com/auspicious3000/contentvec/ )
+ [VITS ](https://github.com/jaywalnut310/vits )
+ [HIFIGAN ](https://github.com/jik876/hifi-gan )
+ [Gradio ](https://github.com/gradio-app/gradio )
+ [FFmpeg ](https://github.com/FFmpeg/FFmpeg )
+ [Ultimate Vocal Remover ](https://github.com/Anjok07/ultimatevocalremovergui )
+ [audio-slicer ](https://github.com/openvpi/audio-slicer )
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+ [Vocal pitch extraction:RMVPE ](https://github.com/Dream-High/RMVPE )
+ The pretrained model is trained and tested by [yxlllc ](https://github.com/yxlllc/RMVPE ) and [RVC-Boss ](https://github.com/RVC-Boss ).
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## Thanks to all contributors for their efforts
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< a href = "https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/graphs/contributors" target = "_blank" >
< img src = "https://contrib.rocks/image?repo=RVC-Project/Retrieval-based-Voice-Conversion-WebUI" / >
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