解决 TTS.py 无法识别真正支持版本 v2Pro、v2ProPlus 的问题 (#2490)

同时更新一版默认配置。

Co-authored-by: jiangsier-xyz <jiangsier131@gmail.com>

GPT_SoVITS/TTS_infer_pack/TTS.py

@@ -304,7 +304,7 @@ class TTS_Config:
             configs: dict = self._load_configs(self.configs_path)
 
         assert isinstance(configs, dict)
-        version = configs.get("version", "v2").lower()
+        version = configs.get("version", "v2")
         assert version in ["v1", "v2", "v3", "v4", "v2Pro", "v2ProPlus"]
         self.default_configs[version] = configs.get(version, self.default_configs[version])
         self.configs: dict = configs.get("custom", deepcopy(self.default_configs[version]))

GPT_SoVITS/configs/tts_infer.yaml

@@ -22,6 +22,22 @@ v2:
   t2s_weights_path: GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s1bert25hz-5kh-longer-epoch=12-step=369668.ckpt
   version: v2
   vits_weights_path: GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s2G2333k.pth
+v2Pro:
+  bert_base_path: GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large
+  cnhuhbert_base_path: GPT_SoVITS/pretrained_models/chinese-hubert-base
+  device: cpu
+  is_half: false
+  t2s_weights_path: GPT_SoVITS/pretrained_models/s1v3.ckpt
+  version: v2Pro
+  vits_weights_path: GPT_SoVITS/pretrained_models/v2Pro/s2Gv2Pro.pth
+v2ProPlus:
+  bert_base_path: GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large
+  cnhuhbert_base_path: GPT_SoVITS/pretrained_models/chinese-hubert-base
+  device: cpu
+  is_half: false
+  t2s_weights_path: GPT_SoVITS/pretrained_models/s1v3.ckpt
+  version: v2ProPlus
+  vits_weights_path: GPT_SoVITS/pretrained_models/v2Pro/s2Gv2ProPlus.pth
 v3:
   bert_base_path: GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large
   cnhuhbert_base_path: GPT_SoVITS/pretrained_models/chinese-hubert-base