RVC-Boss / GPT-SoVITS

GPT-SoVITS-WebUI 
A Powerful Few-shot Voice Conversion and Text-to-Speech WebUI. 
**English** | **中文简体** | **日本語** | **한국어** | **Türkçe**
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## Features:
1. **Zero-shot TTS:** Input a 5-second vocal sample and experience instant text-to-speech conversion.
2. **Few-shot TTS:** Fine-tune the model with just 1 minute of training data for improved voice similarity and realism.
3. **Cross-lingual Support:** Inference in languages different from the training dataset, currently supporting English, Japanese, Korean, Cantonese and Chinese.
4. **WebUI Tools:** Integrated tools include voice accompaniment separation, automatic training set segmentation, Chinese ASR, and text labeling, assisting beginners in creating training datasets and GPT/SoVITS models.
**Check out our demo video here!**
Unseen speakers few-shot fine-tuning demo:
https://github.com/RVC-Boss/GPT-SoVITS/assets/129054828/05bee1fa-bdd8-4d85-9350-80c060ab47fb
**RTF(inference speed) of GPT-SoVITS v2 ProPlus**:
0.028 tested in 4060Ti, 0.014 tested in 4090 (1400words~=4min, inference time is 3.36s), 0.526 in M4 CPU. You can test our huggingface demo (half H200) to experience high-speed inference .
请不要尬黑GPT-SoVITS推理速度慢，谢谢！
**User guide: 简体中文 | English**
**Zero-Shot TTS Speaker Similarity Comparison Image on SeedTTS Eval Testset_CN2020**
## Installation
For users in China, you can click here to use AutoDL Cloud Docker to experience the full functionality online.
### Tested Environments
| Python Version | PyTorch Version | Device |
| -------------- | ---------------- | ------------- |
| Python 3.10 | PyTorch 2.5.1 | CUDA 12.4 |
| Python 3.11 | PyTorch 2.5.1 | CUDA 12.4 |
| Python 3.11 | PyTorch 2.7.0 | CUDA 12.8 |
| Python 3.9 | PyTorch 2.8.0dev | CUDA 12.8 |
| Python 3.12 | PyTorch 2.7.1 | CUDA 11.8 |
| Python 3.12 | PyTorch 2.7.1 | CUDA 12.8 |
| Python 3.9 | PyTorch 2.5.1 | Apple silicon |
| Python 3.11 | PyTorch 2.7.0 | Apple silicon |
| Python 3.9 | PyTorch 2.2.2 | CPU |
### Windows
If you are a Windows user (tested with win>=10), you can download the integrated package and double-click on _go-webui.bat_ to start GPT-SoVITS-WebUI.
**Users in China can download the package here.**
Install the program by running the following commands:
 [code] 
### Linux
 [code] 
### macOS
**Note: The models trained with GPUs on Macs result in significantly lower quality compared to those trained on other devices, so we are temporarily using CPUs instead.**
Install the program by running the following commands:
 [code] 
### Install Manually
#### Install Dependences
 [code] 
#### Install FFmpeg
##### Conda Users
 [code] 
##### Ubuntu/Debian Users
 [code] 
##### Windows Users
Download and place ffmpeg.exe and ffprobe.exe in the GPT-SoVITS root
Install Visual Studio 2017
##### MacOS Users
 [code] 
### Running GPT-SoVITS with Docker
#### Docker Image Selection
Due to rapid development in the codebase and a slower Docker image release cycle, please:
- Check Docker Hub for the latest available image tags
- Choose an a