Merge branch 'main' into main
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RVC-Boss
75
README.md
75
README.md
@@ -8,8 +8,9 @@ A Powerful Few-shot Voice Conversion and Text-to-Speech WebUI.<br><br>
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<img src="https://counter.seku.su/cmoe?name=gptsovits&theme=r34" /><br>
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[](https://colab.research.google.com/github/RVC-Boss/GPT-SoVITS/blob/main/colab_webui.ipynb)
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[](https://github.com/RVC-Boss/GPT-SoVITS/blob/main/LICENSE)
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[](https://huggingface.co/lj1995/GPT-SoVITS/tree/main)
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[](https://huggingface.co/lj1995/GPT-SoVITS/tree/main)
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[**English**](./README.md) | [**中文简体**](./docs/cn/README.md) | [**日本語**](./docs/ja/README.md)
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@@ -22,8 +23,12 @@ A Powerful Few-shot Voice Conversion and Text-to-Speech WebUI.<br><br>
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> Check out our [demo video](https://www.bilibili.com/video/BV12g4y1m7Uw) here!
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Unseen speakers few-shot fine-tuning demo:
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https://github.com/RVC-Boss/GPT-SoVITS/assets/129054828/05bee1fa-bdd8-4d85-9350-80c060ab47fb
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For users in China region, you can use AutoDL Cloud Docker to experience the full functionality online: https://www.codewithgpu.com/i/RVC-Boss/GPT-SoVITS/GPT-SoVITS-Official
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## Features:
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1. **Zero-shot TTS:** Input a 5-second vocal sample and experience instant text-to-speech conversion.
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@@ -41,6 +46,7 @@ If you are a Windows user (tested with win>=10) you can install directly via the
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- Python 3.9, PyTorch 2.0.1, CUDA 11
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- Python 3.10.13, PyTorch 2.1.2, CUDA 12.3
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- Python 3.9, PyTorch 2.3.0.dev20240122, macOS 14.3 (Apple silicon, GPU)
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_Note: numba==0.56.4 require py<3.11_
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@@ -52,24 +58,11 @@ conda activate GPTSoVits
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bash install.sh
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```
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### Install Manually
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#### Make sure you have the distutils for python3.9 installed
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```bash
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sudo apt-get install python3.9-distutils
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```
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#### Pip Packages
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```bash
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pip install torch numpy scipy tensorboard librosa==0.9.2 numba==0.56.4 pytorch-lightning gradio==3.14.0 ffmpeg-python onnxruntime tqdm cn2an pypinyin pyopenjtalk g2p_en chardet transformers
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```
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#### Additional Requirements
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If you need Chinese ASR (supported by FunASR), install:
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```bash
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pip install modelscope torchaudio sentencepiece funasr>=1.0.0
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pip install -r requirements.txt
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```
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#### FFmpeg
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@@ -106,6 +99,52 @@ For Chinese ASR (additionally), download models from [Damo ASR Model](https://mo
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For UVR5 (Vocals/Accompaniment Separation & Reverberation Removal, additionally), download models from [UVR5 Weights](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/uvr5_weights) and place them in `tools/uvr5/uvr5_weights`.
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### For Mac Users
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If you are a Mac user, make sure you meet the following conditions for training and inferencing with GPU:
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- Mac computers with Apple silicon or AMD GPUs
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- macOS 12.3 or later
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- Xcode command-line tools installed by running `xcode-select --install`
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_Other Macs can do inference with CPU only._
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Then install by using the following commands:
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#### Create Environment
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```bash
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conda create -n GPTSoVits python=3.9
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conda activate GPTSoVits
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```
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#### Install Requirements
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```bash
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pip install -r requirements.txt
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pip uninstall torch torchaudio
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pip3 install --pre torch torchaudio --index-url https://download.pytorch.org/whl/nightly/cpu
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```
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### Using Docker
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#### docker-compose.yaml configuration
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0. Regarding image tags: Due to rapid updates in the codebase and the slow process of packaging and testing images, please check [Docker Hub](https://hub.docker.com/r/breakstring/gpt-sovits) for the currently packaged latest images and select as per your situation, or alternatively, build locally using a Dockerfile according to your own needs.
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1. Environment Variables：
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- is_half: Controls half-precision/double-precision. This is typically the cause if the content under the directories 4-cnhubert/5-wav32k is not generated correctly during the "SSL extracting" step. Adjust to True or False based on your actual situation.
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2. Volumes Configuration，The application's root directory inside the container is set to /workspace. The default docker-compose.yaml lists some practical examples for uploading/downloading content.
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3. shm_size： The default available memory for Docker Desktop on Windows is too small, which can cause abnormal operations. Adjust according to your own situation.
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4. Under the deploy section, GPU-related settings should be adjusted cautiously according to your system and actual circumstances.
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#### Running with docker compose
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```
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docker compose -f "docker-compose.yaml" up -d
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```
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#### Running with docker command
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As above, modify the corresponding parameters based on your actual situation, then run the following command:
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```
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docker run --rm -it --gpus=all --env=is_half=False --volume=G:\GPT-SoVITS-DockerTest\output:/workspace/output --volume=G:\GPT-SoVITS-DockerTest\logs:/workspace/logs --volume=G:\GPT-SoVITS-DockerTest\SoVITS_weights:/workspace/SoVITS_weights --workdir=/workspace -p 9870:9870 -p 9871:9871 -p 9872:9872 -p 9873:9873 -p 9874:9874 --shm-size="16G" -d breakstring/gpt-sovits:xxxxx
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```
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## Dataset Format
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@@ -129,9 +168,9 @@ D:\GPT-SoVITS\xxx/xxx.wav|xxx|en|I like playing Genshin.
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## Todo List
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- [ ] **High Priority:**
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- [ ] Localization in Japanese and English.
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- [x] Localization in Japanese and English.
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- [ ] User guide.
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- [ ] Japanese and English dataset fine tune training.
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- [x] Japanese and English dataset fine tune training.
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- [ ] **Features:**
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- [ ] Zero-shot voice conversion (5s) / few-shot voice conversion (1min).
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@@ -140,7 +179,7 @@ D:\GPT-SoVITS\xxx/xxx.wav|xxx|en|I like playing Genshin.
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- [ ] Experiment with changing SoVITS token inputs to probability distribution of vocabs.
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- [ ] Improve English and Japanese text frontend.
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- [ ] Develop tiny and larger-sized TTS models.
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- [ ] Colab scripts.
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- [x] Colab scripts.
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- [ ] Try expand training dataset (2k hours -> 10k hours).
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- [ ] better sovits base model (enhanced audio quality)
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- [ ] model mix
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