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

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同时更新一版默认配置。

Co-authored-by: jiangsier-xyz <jiangsier131@gmail.com>
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jiangsier-xyz 2025-07-16 15:42:36 +08:00 committed by GitHub
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commit e476b01f30
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2 changed files with 17 additions and 1 deletions
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2
GPT_SoVITS/TTS_infer_pack/TTS.py
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@ -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]))

16
GPT_SoVITS/configs/tts_infer.yaml
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@ -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