104 lines
4.4 KiB
Markdown
104 lines
4.4 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/RVC-Boss/GPT-SoVITS.git
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git checkout fast_inference_
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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/GPT_SoVITS/pretrained_models` 中
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注意
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```
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是将 GPT-SoVITS 的模型文件放入 pretrained_models目录中
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```
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如下
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```
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pretrained_models/
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--chinese-hubert-base
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--chinese-roberta-wwm-ext-large
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s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt
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s2D488k.pth
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s2G488k.pth
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```
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## 3. 启动
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### 3.1 启动webui界面（测试效果用）
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python GPT_SoVITS/inference_webui.py
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### 3.2 启动api服务:
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python api_v3.py
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## 4. 接口说明
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### 4.1 Text-to-Speech
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endpoint: `/tts`
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GET:
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```
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http://127.0.0.1:9880/tts?text=先帝创业未半而中道崩殂，今天下三分，益州疲弊，此诚危急存亡之秋也。&text_lang=zh&ref_audio_path=archive_jingyuan_1.wav&prompt_lang=zh&prompt_text=我是「罗浮」云骑将军景元。不必拘谨，「将军」只是一时的身份，你称呼我景元便可&text_split_method=cut5&batch_size=1&media_type=wav&streaming_mode=true
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```
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POST:
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```json
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{
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"text": "", # str.(required) text to be synthesized
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"text_lang": "", # str.(required) language of the text to be synthesized
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"ref_audio_path": "", # str.(required) reference audio path.
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"prompt_text": "", # str.(optional) prompt text for the reference audio
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"prompt_lang": "", # str.(required) language of the prompt text for the reference audio
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"top_k": 5, # int.(optional) top k sampling
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"top_p": 1, # float.(optional) top p sampling
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"temperature": 1, # float.(optional) temperature for sampling
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"text_split_method": "cut5", # str.(optional) text split method, see text_segmentation_method.py for details.
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"batch_size": 1, # int.(optional) batch size for inference
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"batch_threshold": 0.75, # float.(optional) threshold for batch splitting.
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"split_bucket": true, # bool.(optional) whether to split the batch into multiple buckets.
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"speed_factor":1.0, # float.(optional) control the speed of the synthesized audio.
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"fragment_interval":0.3, # float.(optional) to control the interval of the audio fragment.
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"seed": -1, # int.(optional) random seed for reproducibility.
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"media_type": "wav", # str.(optional) media type of the output audio, support "wav", "raw", "ogg", "aac".
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"streaming_mode": false, # bool.(optional) whether to return a streaming response.
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"parallel_infer": True, # bool.(optional) whether to use parallel inference.
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"repetition_penalty": 1.35, # float.(optional) repetition penalty for T2S model.
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"tts_infer_yaml_path": “GPT_SoVITS/configs/tts_infer.yaml” # str.(optional) tts infer yaml path
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}
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```
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## 部署tts训练
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https://github.com/RVC-Boss/GPT-SoVITS
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切换自己训练的模型
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### 切换GPT模型
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endpoint: `/set_gpt_weights`
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GET:
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```
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http://127.0.0.1:9880/set_gpt_weights?weights_path=GPT_SoVITS/pretrained_models/xxx.ckpt
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```
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RESP:
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成功: 返回"success", http code 200
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失败: 返回包含错误信息的 json, http code 400
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### 切换Sovits模型
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endpoint: `/set_sovits_weights`
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GET:
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```
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http://127.0.0.1:9880/set_sovits_weights?weights_path=GPT_SoVITS/pretrained_models/xxx.pth
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```
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RESP:
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成功: 返回"success", http code 200
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失败: 返回包含错误信息的 json, http code 400
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"""
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## 如果你需要使用autodl 进行部署
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请使用 https://www.codewithgpu.com/i/RVC-Boss/GPT-SoVITS/GPT-SoVITS 作为基础镜像你能快速进行部署
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