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mirror of https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI.git synced 2026-06-05 09:10:25 +08:00

docs: make english README the repository's default README (#38)

* docs: make english README the repository's default README

some people might be scared off by a base README being in Chinese, so using a more universally known language like English seems to be more suited for open-source projects. i believe some people just come to the project, see the README and then they're frightened to even work on/with it

this is a change curated by the #33 issue

* docs: use MIT badge directly instead of relying on the repo link

* docs: make READMEs grab the license badge directly via repo's specified license
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Alex Murkoff
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<div align="center">
# Retrieval-based-Voice-Conversion-WebUI
一个基于VITS的简单易用的变声框架<br><br>
[![madewithlove](https://img.shields.io/badge/made_with-%E2%9D%A4-red?style=for-the-badge&labelColor=orange
)](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI)
![moe](https://counter.seku.su/cmoe?name=rvc&theme=r34)
[![Licence](https://img.shields.io/github/license/fumiama/Retrieval-based-Voice-Conversion-WebUI?style=for-the-badge)](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/blob/main/LICENSE)
[![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)
[**更新日志**](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/blob/main/docs/Changelog_CN.md) | [**常见问题解答**](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/wiki/%E5%B8%B8%E8%A7%81%E9%97%AE%E9%A2%98%E8%A7%A3%E7%AD%94) | [**AutoDL·5毛钱训练AI歌手**](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/wiki/Autodl%E8%AE%AD%E7%BB%83RVC%C2%B7AI%E6%AD%8C%E6%89%8B%E6%95%99%E7%A8%8B) | [**对照实验记录**](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/wiki/Autodl%E8%AE%AD%E7%BB%83RVC%C2%B7AI%E6%AD%8C%E6%89%8B%E6%95%99%E7%A8%8B](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/wiki/%E5%AF%B9%E7%85%A7%E5%AE%9E%E9%AA%8C%C2%B7%E5%AE%9E%E9%AA%8C%E8%AE%B0%E5%BD%95)) | [**在线演示**](https://modelscope.cn/studios/FlowerCry/RVCv2demo)
[**English**](../../README.md) | [**中文简体**](../cn/README.cn.md) | [**日本語**](../jp/README.ja.md) | [**한국어**](../kr/README.ko.md) ([**韓國語**](../kr/README.ko.han.md)) | [**Français**](../fr/README.fr.md) | [**Türkçe**](../tr/README.tr.md) | [**Português**](../pt/README.pt.md)
</div>
> 底模使用接近50小时的开源高质量VCTK训练集训练无版权方面的顾虑请大家放心使用
> 请期待RVCv3的底模参数更大数据集更大效果更好基本持平的推理速度需要训练数据量更少。
> 由于某些地区无法直连Hugging Face即使设法成功访问速度也十分缓慢特推出模型/整合包/工具的一键下载器,欢迎试用:[RVC-Models-Downloader](https://github.com/fumiama/RVC-Models-Downloader)
| 训练推理界面 | 实时变声界面 |
| :--------: | :---------: |
| ![web](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/assets/129054828/092e5c12-0d49-4168-a590-0b0ef6a4f630) | ![realtime-gui](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/assets/129054828/730b4114-8805-44a1-ab1a-04668f3c30a6) |
| go-web.bat | go-realtime-gui.bat |
| 可以自由选择想要执行的操作。 | 我们已经实现端到端170ms延迟。如使用ASIO输入输出设备已能实现端到端90ms延迟但非常依赖硬件驱动支持。|
## 简介
本仓库具有以下特点
+ 使用top1检索替换输入源特征为训练集特征来杜绝音色泄漏
+ 即便在相对较差的显卡上也能快速训练
+ 使用少量数据进行训练也能得到较好结果(推荐至少收集10分钟低底噪语音数据)
+ 可以通过模型融合来改变音色(借助ckpt处理选项卡中的ckpt-merge)
+ 简单易用的网页界面
+ 可调用UVR5模型来快速分离人声和伴奏
+ 使用最先进的[人声音高提取算法InterSpeech2023-RMVPE](#参考项目)根绝哑音问题,效果更好,运行更快,资源占用更少
+ A卡I卡加速支持
点此查看我们的[演示视频](https://www.bilibili.com/video/BV1pm4y1z7Gm/) !
## 环境配置
### Python 版本限制
> 建议使用 conda 管理 Python 环境
> 版本限制原因参见此[bug](https://github.com/facebookresearch/fairseq/issues/5012)
```bash
python --version # 3.8 <= Python < 3.11
```
### Linux/MacOS 一键依赖安装启动脚本
执行项目根目录下`run.sh`即可一键配置`venv`虚拟环境、自动安装所需依赖并启动主程序。
```bash
sh ./run.sh
```
### 手动安装依赖
1. 安装`pytorch`及其核心依赖,若已安装则跳过。参考自: https://pytorch.org/get-started/locally/
```bash
pip install torch torchvision torchaudio
```
2. 如果是 win 系统 + Nvidia Ampere 架构(RTX30xx),根据 #21 的经验,需要指定 pytorch 对应的 CUDA 版本
```bash
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
```
3. 根据自己的显卡安装对应依赖
- N卡
```bash
pip install -r requirements/main.txt
```
- A卡/I卡
```bash
pip install -r requirements/dml.txt
```
- A卡ROCM(Linux)
```bash
pip install -r requirements/amd.txt
```
- I卡IPEX(Linux)
```bash
pip install -r requirements/ipex.txt
```
## 其他资源准备
### 1. assets
> RVC需要位于`assets`文件夹下的一些模型资源进行推理和训练。
#### 自动检查/下载资源(默认)
> 默认情况下RVC可在主程序启动时自动检查所需资源的完整性。
> 即使资源不完整,程序也将继续启动。
- 如果您希望下载所有资源,请添加`--update`参数
- 如果您希望跳过启动时的资源完整性检查,请添加`--nocheck`参数
#### 手动下载资源
> 所有资源文件均位于[Hugging Face space](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/)
> 你可以在`tools`文件夹找到下载它们的脚本
> 你也可以使用模型/整合包/工具的一键下载器:[RVC-Models-Downloader](https://github.com/fumiama/RVC-Models-Downloader)
以下是一份清单包括了所有RVC所需的预模型和其他文件的名称。
- ./assets/hubert/hubert_base.pt
```bash
rvcmd assets/hubert # RVC-Models-Downloader command
```
- ./assets/pretrained
```bash
rvcmd assets/v1 # RVC-Models-Downloader command
```
- ./assets/uvr5_weights
```bash
rvcmd assets/uvr5 # RVC-Models-Downloader command
```
想使用v2版本模型的话需要额外下载
- ./assets/pretrained_v2
```bash
rvcmd assets/v2 # RVC-Models-Downloader command
```
### 2. 安装 ffmpeg 工具
若已安装`ffmpeg`和`ffprobe`则可跳过此步骤。
#### Ubuntu/Debian 用户
```bash
sudo apt install ffmpeg
```
#### MacOS 用户
```bash
brew install ffmpeg
```
#### Windows 用户
下载后放置在根目录。
```bash
rvcmd tools/ffmpeg # RVC-Models-Downloader command
```
- 下载[ffmpeg.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffmpeg.exe)
- 下载[ffprobe.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffprobe.exe)
### 3. 下载 rmvpe 人声音高提取算法所需文件
如果你想使用最新的RMVPE人声音高提取算法则你需要下载音高提取模型参数并放置于`assets/rmvpe`。
- 下载[rmvpe.pt](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/rmvpe.pt)
```bash
rvcmd assets/rmvpe # RVC-Models-Downloader command
```
#### 下载 rmvpe 的 dml 环境(可选, A卡/I卡用户)
- 下载[rmvpe.onnx](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/rmvpe.onnx)
```bash
rvcmd assets/rmvpe # RVC-Models-Downloader command
```
### 4. AMD显卡Rocm(可选, 仅Linux)
如果你想基于AMD的Rocm技术在Linux系统上运行RVC请先在[这里](https://rocm.docs.amd.com/en/latest/deploy/linux/os-native/install.html)安装所需的驱动。
若你使用的是Arch Linux可以使用pacman来安装所需驱动
````
pacman -S rocm-hip-sdk rocm-opencl-sdk
````
对于某些型号的显卡你可能需要额外配置如下的环境变量RX6700XT
````
export ROCM_PATH=/opt/rocm
export HSA_OVERRIDE_GFX_VERSION=10.3.0
````
同时确保你的当前用户处于`render`与`video`用户组内:
````
sudo usermod -aG render $USERNAME
sudo usermod -aG video $USERNAME
````
## 开始使用
### 直接启动
使用以下指令来启动 WebUI
```bash
python web.py
```
### Linux/MacOS 用户
```bash
./run.sh
```
### 对于需要使用IPEX技术的I卡用户(仅Linux)
```bash
source /opt/intel/oneapi/setvars.sh
./run.sh
```
### 使用整合包 (Windows 用户)
下载并解压`RVC-beta.7z`,解压后双击`go-web.bat`即可一键启动。
```bash
rvcmd packs/general/latest # RVC-Models-Downloader command
```
## 参考项目
+ [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)
+ [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).
## 感谢所有贡献者作出的努力
[![contributors](https://contrib.rocks/image?repo=fumiama/Retrieval-based-Voice-Conversion-WebUI)](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/graphs/contributors)

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@@ -1,217 +0,0 @@
<div align="center">
# Retrieval-based-Voice-Conversion-WebUI
An easy-to-use voice conversion framework based on VITS.
[![madewithlove](https://img.shields.io/badge/made_with-%E2%9D%A4-red?style=for-the-badge&labelColor=orange
)](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI)
![moe](https://counter.seku.su/cmoe?name=rvc&theme=r34)
[![Licence](https://img.shields.io/github/license/fumiama/Retrieval-based-Voice-Conversion-WebUI?style=for-the-badge)](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/blob/main/LICENSE)
[![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)
[**Changelog**](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/blob/main/docs/Changelog_EN.md) | [**FAQ (Frequently Asked Questions)**](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/wiki/FAQ-(Frequently-Asked-Questions))
[**English**](../en/README.en.md) | [**中文简体**](../../README.md) | [**日本語**](../jp/README.ja.md) | [**한국어**](../kr/README.ko.md) ([**韓國語**](../kr/README.ko.han.md)) | [**Français**](../fr/README.fr.md) | [**Türkçe**](../tr/README.tr.md) | [**Português**](../pt/README.pt.md)
</div>
> The base model is trained using nearly 50 hours of high-quality open-source VCTK training set. Therefore, there are no copyright concerns, please feel free to use.
> Please look forward to the base model of RVCv3 with larger parameters, larger dataset, better effects, basically flat inference speed, and less training data required.
> There's a [one-click downloader](https://github.com/fumiama/RVC-Models-Downloader) for models/integration packages/tools. Welcome to try.
| Training and inference Webui | Real-time voice changing GUI |
| :--------: | :---------: |
| ![web](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/assets/129054828/092e5c12-0d49-4168-a590-0b0ef6a4f630) | ![realtime-gui](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/assets/129054828/730b4114-8805-44a1-ab1a-04668f3c30a6) |
| go-web.bat | go-realtime-gui.bat |
| You can freely choose the action you want to perform. | We have achieved an end-to-end latency of 170ms. With the use of ASIO input and output devices, we have managed to achieve an end-to-end latency of 90ms, but it is highly dependent on hardware driver support. |
## Features:
+ Reduce tone leakage by replacing the source feature to training-set feature using top1 retrieval;
+ Easy + fast training, even on poor graphics cards;
+ Training with a small amounts of data (>=10min low noise speech recommended);
+ Model fusion to change timbres (using ckpt processing tab->ckpt merge);
+ Easy-to-use WebUI;
+ UVR5 model to quickly separate vocals and instruments;
+ High-pitch Voice Extraction Algorithm [InterSpeech2023-RMVPE](#Credits) to prevent a muted sound problem. Provides the best results (significantly) and is faster with lower resource consumption than Crepe_full;
+ AMD/Intel graphics cards acceleration supported;
+ Intel ARC graphics cards acceleration with IPEX supported.
Check out our [Demo Video](https://www.bilibili.com/video/BV1pm4y1z7Gm/) here!
## Environment Configuration
### Python Version Limitation
> It is recommended to use conda to manage the Python environment.
> For the reason of the version limitation, please refer to this [bug](https://github.com/facebookresearch/fairseq/issues/5012).
```bash
python --version # 3.8 <= Python < 3.11
```
### Linux/MacOS One-click Dependency Installation & Startup Script
By executing `run.sh` in the project root directory, you can configure the `venv` virtual environment, automatically install the required dependencies, and start the main program with one click.
```bash
sh ./run.sh
```
### Manual Installation of Dependencies
1. Install `pytorch` and its core dependencies, skip if already installed. Refer to: https://pytorch.org/get-started/locally/
```bash
pip install torch torchvision torchaudio
```
2. If you are using Nvidia Ampere architecture (RTX30xx) in Windows, according to the experience of #21, you need to specify the cuda version corresponding to pytorch.
```bash
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
```
3. Install the corresponding dependencies according to your own graphics card.
- Nvidia GPU
```bash
pip install -r requirements/main.txt
```
- AMD/Intel GPU
```bash
pip install -r requirements/dml.txt
```
- AMD ROCM (Linux)
```bash
pip install -r requirements/amd.txt
```
- Intel IPEX (Linux)
```bash
pip install -r requirements/ipex.txt
```
## Preparation of Other Files
### 1. Assets
> RVC requires some models located in the `assets` folder for inference and training.
#### Check/Download Automatically (Default)
> By default, RVC can automatically check the integrity of the required resources when the main program starts.
> Even if the resources are not complete, the program will continue to start.
- If you want to download all resources, please add the `--update` parameter.
- If you want to skip the resource integrity check at startup, please add the `--nocheck` parameter.
#### Download Manually
> All resource files are located in [Hugging Face space](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/)
> You can find some scripts to download them in the `tools` folder
> You can also use the [one-click downloader](https://github.com/fumiama/RVC-Models-Downloader) for models/integration packages/tools
Below is a list that includes the names of all pre-models and other files required by RVC.
- ./assets/hubert/hubert_base.pt
```bash
rvcmd assets/hubert # RVC-Models-Downloader command
```
- ./assets/pretrained
```bash
rvcmd assets/v1 # RVC-Models-Downloader command
```
- ./assets/uvr5_weights
```bash
rvcmd assets/uvr5 # RVC-Models-Downloader command
```
If you want to use the v2 version of the model, you need to download additional resources in
- ./assets/pretrained_v2
```bash
rvcmd assets/v2 # RVC-Models-Downloader command
```
### 2. Install ffmpeg tool
If `ffmpeg` and `ffprobe` have already been installed, you can skip this step.
#### Ubuntu/Debian
```bash
sudo apt install ffmpeg
```
#### MacOS
```bash
brew install ffmpeg
```
#### Windows
After downloading, place it in the root directory.
```bash
rvcmd tools/ffmpeg # RVC-Models-Downloader command
```
- [ffmpeg.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffmpeg.exe)
- [ffprobe.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffprobe.exe)
### 3. Download the required files for the rmvpe vocal pitch extraction algorithm
If you want to use the latest RMVPE vocal pitch extraction algorithm, you need to download the pitch extraction model parameters and place them in `assets/rmvpe`.
- [rmvpe.pt](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/rmvpe.pt)
```bash
rvcmd assets/rmvpe # RVC-Models-Downloader command
```
#### Download DML environment of RMVPE (optional, for AMD/Intel GPU)
- [rmvpe.onnx](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/rmvpe.onnx)
```bash
rvcmd assets/rmvpe # RVC-Models-Downloader command
```
### 4. AMD ROCM (optional, Linux only)
If you want to run RVC on a Linux system based on AMD's ROCM technology, please first install the required drivers [here](https://rocm.docs.amd.com/en/latest/deploy/linux/os-native/install.html).
If you are using Arch Linux, you can use pacman to install the required drivers.
````
pacman -S rocm-hip-sdk rocm-opencl-sdk
````
For some models of graphics cards, you may need to configure the following environment variables (such as: RX6700XT).
````
export ROCM_PATH=/opt/rocm
export HSA_OVERRIDE_GFX_VERSION=10.3.0
````
Also, make sure your current user is in the `render` and `video` user groups.
````
sudo usermod -aG render $USERNAME
sudo usermod -aG video $USERNAME
````
## Getting Started
### Direct Launch
Use the following command to start the WebUI.
```bash
python web.py
```
### Linux/MacOS
```bash
./run.sh
```
### For I-card users who need to use IPEX technology (Linux only)
```bash
source /opt/intel/oneapi/setvars.sh
./run.sh
```
### Using the Integration Package (Windows Users)
Download and unzip `RVC-beta.7z`. After unzipping, double-click `go-web.bat` to start the program with one click.
```bash
rvcmd packs/general/latest # RVC-Models-Downloader command
```
## Credits
+ [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)
+ [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).
## Thanks to all contributors for their efforts
[![contributors](https://contrib.rocks/image?repo=fumiama/Retrieval-based-Voice-Conversion-WebUI)](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/graphs/contributors)

View File

@@ -10,7 +10,7 @@ Un framework simple et facile à utiliser pour la conversion vocale (modificateu
![moe](https://counter.seku.su/cmoe?name=rvc&theme=r34)
[![Licence](https://img.shields.io/badge/LICENSE-MIT-green.svg?style=for-the-badge)](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/blob/main/LICENSE)
[![Licence](https://img.shields.io/github/license/fumiama/Retrieval-based-Voice-Conversion-WebUI?style=for-the-badge)](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/blob/main/LICENSE)
[![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)

View File

@@ -9,7 +9,7 @@ VITSに基づく使いやすい音声変換voice changerframework
![moe](https://counter.seku.su/cmoe?name=rvc&theme=r34)
[![Licence](https://img.shields.io/badge/LICENSE-MIT-green.svg?style=for-the-badge)](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/blob/main/LICENSE)
[![Licence](https://img.shields.io/github/license/fumiama/Retrieval-based-Voice-Conversion-WebUI?style=for-the-badge)](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/blob/main/LICENSE)
[![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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@@ -7,7 +7,7 @@ VITS 기반의 간단하고 사용하기 쉬운 음성 변환 프레임워크.
![moe](https://counter.seku.su/cmoe?name=rvc&theme=r34)
[![Licence](https://img.shields.io/badge/LICENSE-MIT-green.svg?style=for-the-badge)](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/blob/main/LICENSE)
[![Licence](https://img.shields.io/github/license/fumiama/Retrieval-based-Voice-Conversion-WebUI?style=for-the-badge)](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/blob/main/LICENSE)
[![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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@@ -9,7 +9,7 @@ VITS'e dayalı kullanımı kolay bir Ses Dönüşümü çerçevesi.
![moe](https://counter.seku.su/cmoe?name=rvc&theme=r34)
[![Lisans](https://img.shields.io/github/license/fumiama/Retrieval-based-Voice-Conversion-WebUI?style=for-the-badge)](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/blob/main/LICENSE)
[![Licence](https://img.shields.io/github/license/fumiama/Retrieval-based-Voice-Conversion-WebUI?style=for-the-badge)](https://github.com/fumiama/Retrieval-based-Voice-Conversion-WebUI/blob/main/LICENSE)
[![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%20Geliştiricileri-Discord-7289DA?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/HcsmBBGyVk)