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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/) |
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[![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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</div> |
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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)) |
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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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> A online demo using RVC that convert Vocal to Acoustic Guitar audio:https://huggingface.co/spaces/lj1995/vocal2guitar |
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> Vocal2Guitar demo video:https://www.bilibili.com/video/BV19W4y1D7tT/ |
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> The dataset for the pre-training model uses nearly 50 hours of high quality VCTK open source dataset. |
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> 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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## Summary |
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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; |
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+ Training with a small amount of data also obtains relatively good results (>=10min low noise speech recommended); |
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+ Supporting model fusion to change timbres (using ckpt processing tab->ckpt merge); |
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+ Easy-to-use Webui interface; |
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+ 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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## 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) |
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First install the main dependencies through pip: |
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```bash |
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# Install PyTorch-related core dependencies, skip if installed |
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# Reference: https://pytorch.org/get-started/locally/ |
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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: |
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```bash |
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# Install the Poetry dependency management tool, skip if installed |
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# Reference: https://python-poetry.org/docs/#installation |
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curl -sSL https://install.python-poetry.org | python3 - |
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# Install the project dependencies |
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poetry install |
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``` |
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You can also use pip to install them: |
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```bash |
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pip install -r requirements.txt |
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``` |
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------ |
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Mac users can install dependencies via `run.sh`: |
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```bash |
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sh ./run.sh |
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``` |
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## Preparation of other Pre-models |
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RVC requires other pre-models to infer and train. |
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You need to download them from our [Huggingface space](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/). |
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Here's a list of Pre-models and other files that RVC needs: |
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```bash |
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hubert_base.pt |
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./pretrained |
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./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 |
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./pretrained_v2 |
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#If you are using Windows, you may also need this dictionary, skip if FFmpeg is installed |
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ffmpeg.exe |
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``` |
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Then use this command to start Webui: |
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```bash |
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python infer-web.py |
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``` |
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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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There's also a tutorial on RVC in Chinese and you can check it out if needed. |
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## Credits |
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+ [ContentVec](https://github.com/auspicious3000/contentvec/) |
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+ [VITS](https://github.com/jaywalnut310/vits) |
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+ [HIFIGAN](https://github.com/jik876/hifi-gan) |
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+ [Gradio](https://github.com/gradio-app/gradio) |
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+ [FFmpeg](https://github.com/FFmpeg/FFmpeg) |
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+ [Ultimate Vocal Remover](https://github.com/Anjok07/ultimatevocalremovergui) |
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+ [audio-slicer](https://github.com/openvpi/audio-slicer) |
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+ [Vocal pitch extraction:RMVPE](https://github.com/Dream-High/RMVPE) |
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+ 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"> |
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<img src="https://contrib.rocks/image?repo=RVC-Project/Retrieval-based-Voice-Conversion-WebUI" /> |
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</a> |
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