96 lines
4.3 KiB
Markdown
96 lines
4.3 KiB
Markdown
<div align="center">
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<h1>Retrieval-based-Voice-Conversion-WebUI</h1>
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An easy-to-use SVC framework based on VITS.<br><br>
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[](https://github.com/liujing04/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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[](https://colab.research.google.com/github/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/Retrieval_based_Voice_Conversion_WebUI.ipynb)
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[](https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/%E4%BD%BF%E7%94%A8%E9%9C%80%E9%81%B5%E5%AE%88%E7%9A%84%E5%8D%8F%E8%AE%AE-LICENSE.txt)
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[](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/)
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</div>
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------
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[**Changelog**](https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/Changelog_CN.md)
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[**English**](./README.en.md) | [**中文简体**](./README.md) | [**日本語**](./README.ja.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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## Summary
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This repository has the following features:
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+ Reduce tone leakage by replacing 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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+ The dataset for the pre-training model uses nearly 50 hours of high quality VCTK open source dataset, and 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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## Preparing the environment
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We recommend you install the dependencies through poetry.
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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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```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/liujing04/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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# 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 the dependencies
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**Notice**: `faiss 1.7.2` will raise Segmentation Fault: 11 under `MacOS`, please change corresponding line in `requirements.txt` to `faiss-cpu==1.7.0`
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```bash
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pip install -r requirements.txt
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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 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, you can download and extract `RVC-beta.7z` to use RVC directly and use `go-web.bat` to start Webui.
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We will develop an English version of the WebUI in 2 weeks.
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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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## Thanks to all contributors for their efforts
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<a href="https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI/graphs/contributors" target="_blank">
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<img src="https://contrib.rocks/image?repo=liujing04/Retrieval-based-Voice-Conversion-WebUI" />
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</a>
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