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https://github.com/RVC-Boss/GPT-SoVITS.git
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修复模型加载异步逻辑
修复模型加载异步逻辑
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@ -213,7 +213,6 @@ def resample(audio_tensor, sr0):
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#symbol_version-model_version-if_lora_v3
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from process_ckpt import get_sovits_version_from_path_fast,load_sovits_new
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def change_sovits_weights(sovits_path,prompt_language=None,text_language=None):
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yield [None]*10+[{"__type__": "update", "value":i18n("模型加载中,请等待"),"interactive":False}]
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global vq_model, hps, version, model_version, dict_language,if_lora_v3
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version, model_version, if_lora_v3=get_sovits_version_from_path_fast(sovits_path)
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# print(sovits_path,version, model_version, if_lora_v3)
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@ -239,7 +238,7 @@ def change_sovits_weights(sovits_path,prompt_language=None,text_language=None):
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else:
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visible_sample_steps=False
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visible_inp_refs=True
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yield {'__type__':'update', 'choices':list(dict_language.keys())}, {'__type__':'update', 'choices':list(dict_language.keys())}, prompt_text_update, prompt_language_update, text_update, text_language_update,{"__type__": "update", "visible": visible_sample_steps},{"__type__": "update", "visible": visible_inp_refs},{"__type__": "update", "value": False,"interactive":True if model_version!="v3"else False},{"__type__": "update", "visible":True if model_version=="v3"else False},None
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yield {'__type__':'update', 'choices':list(dict_language.keys())}, {'__type__':'update', 'choices':list(dict_language.keys())}, prompt_text_update, prompt_language_update, text_update, text_language_update,{"__type__": "update", "visible": visible_sample_steps,"value":32},{"__type__": "update", "visible": visible_inp_refs},{"__type__": "update", "value": False,"interactive":True if model_version!="v3"else False},{"__type__": "update", "visible":True if model_version=="v3"else False},{"__type__": "update", "value":i18n("模型加载中,请等待"),"interactive":False}
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dict_s2 = load_sovits_new(sovits_path)
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hps = dict_s2["config"]
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@ -295,7 +294,7 @@ def change_sovits_weights(sovits_path,prompt_language=None,text_language=None):
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# torch.save(vq_model.state_dict(),"merge_win.pth")
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vq_model.eval()
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yield [None]*10+[{"__type__": "update", "value":i18n("合成语音"),"interactive":True}]
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yield {'__type__':'update', 'choices':list(dict_language.keys())}, {'__type__':'update', 'choices':list(dict_language.keys())}, prompt_text_update, prompt_language_update, text_update, text_language_update,{"__type__": "update", "visible": visible_sample_steps,"value":32},{"__type__": "update", "visible": visible_inp_refs},{"__type__": "update", "value": False,"interactive":True if model_version!="v3"else False},{"__type__": "update", "visible":True if model_version=="v3"else False},{"__type__": "update", "value":i18n("合成语音"),"interactive":True}
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with open("./weight.json")as f:
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data=f.read()
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data=json.loads(data)
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@ -224,11 +224,10 @@ SoVITS_names, GPT_names = get_weights_names(GPT_weight_root, SoVITS_weight_root)
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from process_ckpt import get_sovits_version_from_path_fast,load_sovits_new
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def change_sovits_weights(sovits_path,prompt_language=None,text_language=None):
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yield [None]*9+[{"__type__": "update", "value":i18n("模型加载中,请等待"),"interactive":False}]
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global version, model_version, dict_language,if_lora_v3
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version, model_version, if_lora_v3=get_sovits_version_from_path_fast(sovits_path)
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# print(sovits_path,version, model_version, if_lora_v3)
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if if_lora_v3==True and is_exist_s2gv3==False:
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if if_lora_v3==True and is_exist_s2gv3==False:#
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info= "GPT_SoVITS/pretrained_models/s2Gv3.pth" + i18n("SoVITS V3 底模缺失,无法加载相应 LoRA 权重")
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gr.Warning(info)
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raise FileExistsError(info)
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@ -251,10 +250,10 @@ def change_sovits_weights(sovits_path,prompt_language=None,text_language=None):
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visible_sample_steps=False
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visible_inp_refs=True
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#prompt_language,text_language,prompt_text,prompt_language,text,text_language,inp_refs,ref_text_free,
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yield {'__type__':'update', 'choices':list(dict_language.keys())}, {'__type__':'update', 'choices':list(dict_language.keys())}, prompt_text_update, prompt_language_update, text_update, text_language_update,{"__type__": "update", "interactive": visible_sample_steps},{"__type__": "update", "visible": visible_inp_refs},{"__type__": "update", "interactive": True if model_version!="v3"else False},None
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yield {'__type__':'update', 'choices':list(dict_language.keys())}, {'__type__':'update', 'choices':list(dict_language.keys())}, prompt_text_update, prompt_language_update, text_update, text_language_update,{"__type__": "update", "interactive": visible_sample_steps,"value":32},{"__type__": "update", "visible": visible_inp_refs},{"__type__": "update", "interactive": True if model_version!="v3"else False},{"__type__": "update", "value":i18n("模型加载中,请等待"),"interactive":False}
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tts_pipeline.init_vits_weights(sovits_path)
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yield [None]*9+[{"__type__": "update", "value":i18n("合成语音"),"interactive":True}]
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yield {'__type__':'update', 'choices':list(dict_language.keys())}, {'__type__':'update', 'choices':list(dict_language.keys())}, prompt_text_update, prompt_language_update, text_update, text_language_update,{"__type__": "update", "interactive": visible_sample_steps,"value":32},{"__type__": "update", "visible": visible_inp_refs},{"__type__": "update", "interactive": True if model_version!="v3"else False},{"__type__": "update", "value":i18n("合成语音"),"interactive":True}
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with open("./weight.json")as f:
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data=f.read()
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data=json.loads(data)
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