51 lines
1.5 KiB
Markdown
51 lines
1.5 KiB
Markdown
# 采用gpt-sovits方案，bert-sovits适合长音频训练，gpt-sovits运行短音频快速推理
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## 部署tts推理
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git clone https://github.com/X-T-E-R/GPT-SoVITS-Inference.git
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1. 安装依赖库
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```
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conda create -n GPTSoVits python=3.9
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conda activate GPTSoVits
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bash install.sh
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```
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从 [GPT-SoVITS Models](https://huggingface.co/lj1995/GPT-SoVITS) 下载预训练模型，并将它们放置在 `GPT_SoVITS\pretrained_models` 中
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2. Model Folder Format
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模型文件下载地址 https://www.yuque.com/xter/zibxlp/gsximn7ditzgispg
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下载的模型文件放到trained目录下, 如 `trained/Character1/`
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Put the pth / ckpt / wav files in it, the wav should be named as the prompt text
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Like :
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```
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trained
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--hutao
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----hutao-e75.ckpt
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----hutao_e60_s3360.pth
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----hutao said something.wav
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```
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3. 启动
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后端接口: python Inference/src/tts_backend.py
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如果有错误提示找不到cmudict，从这下载https://github.com/nltk/nltk_data，将packages改名为nltk_data放到home目录下
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管理页面: python Inference/src/TTS_Webui.py, 浏览器打开可以管理character和emotion
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4. 接口测试
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Character and Emotion List
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To obtain the supported characters and their corresponding emotions, please visit the following URL:
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- URL: `http://127.0.0.1:5000/character_list`
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- Returns: A JSON format list of characters and corresponding emotions
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- Method: `GET`
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```
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{
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"Hanabi": [
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"default",
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"Normal",
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"Yandere",
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],
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"Hutao": [
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"default"
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]
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}
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``` |