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gpt_sovits_v3

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RVC-Boss 2025-02-11 21:06:27 +08:00 committed by GitHub
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webui.py
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@ -39,8 +39,9 @@ for site_packages_root in site_packages_roots:
try: try:
with open("%s/users.pth" % (site_packages_root), "w") as f: with open("%s/users.pth" % (site_packages_root), "w") as f:
f.write( f.write(
"%s\n%s/tools\n%s/tools/asr\n%s/GPT_SoVITS\n%s/tools/uvr5" # "%s\n%s/runtime\n%s/tools\n%s/tools/asr\n%s/GPT_SoVITS\n%s/tools/uvr5"
% (now_dir, now_dir, now_dir, now_dir, now_dir) "%s\n%s/GPT_SoVITS/BigVGAN\n%s/tools\n%s/tools/asr\n%s/GPT_SoVITS\n%s/tools/uvr5"
% (now_dir, now_dir, now_dir, now_dir, now_dir, now_dir)
) )
break break
except PermissionError as e: except PermissionError as e:
@ -72,7 +73,7 @@ mem = []
if_gpu_ok = False if_gpu_ok = False
# 判断是否有能用来训练和加速推理的N卡 # 判断是否有能用来训练和加速推理的N卡
ok_gpu_keywords={"10","16","20","30","40","A2","A3","A4","P4","A50","500","A60","70","80","90","M4","T4","TITAN","L4","4060","H","600"} ok_gpu_keywords={"10","16","20","30","40","A2","A3","A4","P4","A50","500","A60","70","80","90","M4","T4","TITAN","L4","4060","H","600","506","507","508","509"}
set_gpu_numbers=set() set_gpu_numbers=set()
if torch.cuda.is_available() or ngpu != 0: if torch.cuda.is_available() or ngpu != 0:
for i in range(ngpu): for i in range(ngpu):
@ -89,14 +90,32 @@ if torch.cuda.is_available() or ngpu != 0:
# gpu_infos.append("%s\t%s" % ("0", "Apple GPU")) # gpu_infos.append("%s\t%s" % ("0", "Apple GPU"))
# mem.append(psutil.virtual_memory().total/ 1024 / 1024 / 1024) # 实测使用系统内存作为显存不会爆显存 # mem.append(psutil.virtual_memory().total/ 1024 / 1024 / 1024) # 实测使用系统内存作为显存不会爆显存
if if_gpu_ok and len(gpu_infos) > 0: minmem=min(mem)
gpu_info = "\n".join(gpu_infos) def set_default():
default_batch_size = min(mem) // 2 global default_batch_size,default_max_batch_size,gpu_info,default_sovits_epoch,default_sovits_save_every_epoch,max_sovits_epoch,max_sovits_save_every_epoch,default_batch_size_s1
else: if if_gpu_ok and len(gpu_infos) > 0:
gpu_info = ("%s\t%s" % ("0", "CPU")) gpu_info = "\n".join(gpu_infos)
gpu_infos.append("%s\t%s" % ("0", "CPU")) default_batch_size = minmem // 2 if version!="v3"else minmem//14
set_gpu_numbers.add(0) default_batch_size_s1=minmem // 2
default_batch_size = int(psutil.virtual_memory().total/ 1024 / 1024 / 1024 / 2) else:
gpu_info = ("%s\t%s" % ("0", "CPU"))
gpu_infos.append("%s\t%s" % ("0", "CPU"))
set_gpu_numbers.add(0)
default_batch_size = default_batch_size_s1=int(psutil.virtual_memory().total/ 1024 / 1024 / 1024 / 2)
if version!="v3":
default_sovits_epoch=8
default_sovits_save_every_epoch=4
max_sovits_epoch=25
max_sovits_save_every_epoch=25
else:
default_sovits_epoch=2
default_sovits_save_every_epoch=1
max_sovits_epoch=6
max_sovits_save_every_epoch=6
default_max_batch_size=default_batch_size*3
set_default()
gpus = "-".join([i[0] for i in gpu_infos]) gpus = "-".join([i[0] for i in gpu_infos])
default_gpu_numbers=str(sorted(list(set_gpu_numbers))[0]) default_gpu_numbers=str(sorted(list(set_gpu_numbers))[0])
def fix_gpu_number(input):#将越界的number强制改到界内 def fix_gpu_number(input):#将越界的number强制改到界内
@ -112,10 +131,10 @@ def fix_gpu_numbers(inputs):
except: except:
return inputs return inputs
pretrained_sovits_name=["GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s2G2333k.pth", "GPT_SoVITS/pretrained_models/s2G488k.pth"] pretrained_sovits_name=["GPT_SoVITS/pretrained_models/s2G488k.pth", "GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s2G2333k.pth","GPT_SoVITS/pretrained_models/s2Gv3.pth"]
pretrained_gpt_name=["GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s1bert25hz-5kh-longer-epoch=12-step=369668.ckpt", "GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt"] pretrained_gpt_name=["GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt","GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s1bert25hz-5kh-longer-epoch=12-step=369668.ckpt", "GPT_SoVITS/pretrained_models/s1v3.ckpt"]
pretrained_model_list = (pretrained_sovits_name[-int(version[-1])+2],pretrained_sovits_name[-int(version[-1])+2].replace("s2G","s2D"),pretrained_gpt_name[-int(version[-1])+2],"GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large","GPT_SoVITS/pretrained_models/chinese-hubert-base") pretrained_model_list = (pretrained_sovits_name[int(version[-1])-1],pretrained_sovits_name[int(version[-1])-1].replace("s2G","s2D"),pretrained_gpt_name[int(version[-1])-1],"GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large","GPT_SoVITS/pretrained_models/chinese-hubert-base")
_='' _=''
for i in pretrained_model_list: for i in pretrained_model_list:
@ -125,15 +144,15 @@ if _:
print("warning:",i18n('以下模型不存在:')+_) print("warning:",i18n('以下模型不存在:')+_)
_ =[[],[]] _ =[[],[]]
for i in range(2): for i in range(3):
if os.path.exists(pretrained_gpt_name[i]):_[0].append(pretrained_gpt_name[i]) if os.path.exists(pretrained_gpt_name[i]):_[0].append(pretrained_gpt_name[i])
else:_[0].append("")##没有下pretrained模型的，说不定他们是想自己从零训底模呢 else:_[0].append("")##没有下pretrained模型的，说不定他们是想自己从零训底模呢
if os.path.exists(pretrained_sovits_name[i]):_[-1].append(pretrained_sovits_name[i]) if os.path.exists(pretrained_sovits_name[i]):_[-1].append(pretrained_sovits_name[i])
else:_[-1].append("") else:_[-1].append("")
pretrained_gpt_name,pretrained_sovits_name = _ pretrained_gpt_name,pretrained_sovits_name = _
SoVITS_weight_root=["SoVITS_weights_v2","SoVITS_weights"] SoVITS_weight_root=["SoVITS_weights","SoVITS_weights_v2","SoVITS_weights_v3"]
GPT_weight_root=["GPT_weights_v2","GPT_weights"] GPT_weight_root=["GPT_weights","GPT_weights_v2","GPT_weights_v3"]
for root in SoVITS_weight_root+GPT_weight_root: for root in SoVITS_weight_root+GPT_weight_root:
os.makedirs(root,exist_ok=True) os.makedirs(root,exist_ok=True)
def get_weights_names(): def get_weights_names():
@ -229,6 +248,9 @@ def change_tts_inference(bert_path,cnhubert_base_path,gpu_number,gpt_path,sovits
cmd = '"%s" GPT_SoVITS/inference_webui_fast.py "%s"'%(python_exec, language) cmd = '"%s" GPT_SoVITS/inference_webui_fast.py "%s"'%(python_exec, language)
else: else:
cmd = '"%s" GPT_SoVITS/inference_webui.py "%s"'%(python_exec, language) cmd = '"%s" GPT_SoVITS/inference_webui.py "%s"'%(python_exec, language)
#####v3暂不支持加速推理
if version=="v3":
cmd = '"%s" GPT_SoVITS/inference_webui.py "%s"'%(python_exec, language)
if(p_tts_inference==None): if(p_tts_inference==None):
os.environ["gpt_path"]=gpt_path if "/" in gpt_path else "%s/%s"%(GPT_weight_root,gpt_path) os.environ["gpt_path"]=gpt_path if "/" in gpt_path else "%s/%s"%(GPT_weight_root,gpt_path)
os.environ["sovits_path"]=sovits_path if "/"in sovits_path else "%s/%s"%(SoVITS_weight_root,sovits_path) os.environ["sovits_path"]=sovits_path if "/"in sovits_path else "%s/%s"%(SoVITS_weight_root,sovits_path)
@ -311,7 +333,7 @@ def open1Ba(batch_size,total_epoch,exp_name,text_low_lr_rate,if_save_latest,if_s
data=f.read() data=f.read()
data=json.loads(data) data=json.loads(data)
s2_dir="%s/%s"%(exp_root,exp_name) s2_dir="%s/%s"%(exp_root,exp_name)
os.makedirs("%s/logs_s2"%(s2_dir),exist_ok=True) os.makedirs("%s/logs_s2_%s"%(s2_dir,version),exist_ok=True)
if check_for_existance([s2_dir],is_train=True): if check_for_existance([s2_dir],is_train=True):
check_details([s2_dir],is_train=True) check_details([s2_dir],is_train=True)
if(is_half==False): if(is_half==False):
@ -328,13 +350,15 @@ def open1Ba(batch_size,total_epoch,exp_name,text_low_lr_rate,if_save_latest,if_s
data["train"]["gpu_numbers"]=gpu_numbers1Ba data["train"]["gpu_numbers"]=gpu_numbers1Ba
data["model"]["version"]=version data["model"]["version"]=version
data["data"]["exp_dir"]=data["s2_ckpt_dir"]=s2_dir data["data"]["exp_dir"]=data["s2_ckpt_dir"]=s2_dir
data["save_weight_dir"]=SoVITS_weight_root[-int(version[-1])+2] data["save_weight_dir"]=SoVITS_weight_root[int(version[-1])-1]
data["name"]=exp_name data["name"]=exp_name
data["version"]=version data["version"]=version
tmp_config_path="%s/tmp_s2.json"%tmp tmp_config_path="%s/tmp_s2.json"%tmp
with open(tmp_config_path,"w")as f:f.write(json.dumps(data)) with open(tmp_config_path,"w")as f:f.write(json.dumps(data))
if version in ["v1","v2"]:
cmd = '"%s" GPT_SoVITS/s2_train.py --config "%s"'%(python_exec,tmp_config_path) cmd = '"%s" GPT_SoVITS/s2_train.py --config "%s"'%(python_exec,tmp_config_path)
else:
cmd = '"%s" GPT_SoVITS/s2_train_v3.py --config "%s"'%(python_exec,tmp_config_path)
yield "SoVITS训练开始：%s"%cmd, {"__type__":"update","visible":False}, {"__type__":"update","visible":True} yield "SoVITS训练开始：%s"%cmd, {"__type__":"update","visible":False}, {"__type__":"update","visible":True}
print(cmd) print(cmd)
p_train_SoVITS = Popen(cmd, shell=True) p_train_SoVITS = Popen(cmd, shell=True)
@ -372,11 +396,11 @@ def open1Bb(batch_size,total_epoch,exp_name,if_dpo,if_save_latest,if_save_every_
data["train"]["if_save_every_weights"]=if_save_every_weights data["train"]["if_save_every_weights"]=if_save_every_weights
data["train"]["if_save_latest"]=if_save_latest data["train"]["if_save_latest"]=if_save_latest
data["train"]["if_dpo"]=if_dpo data["train"]["if_dpo"]=if_dpo
data["train"]["half_weights_save_dir"]=GPT_weight_root[-int(version[-1])+2] data["train"]["half_weights_save_dir"]=GPT_weight_root[int(version[-1])-1]
data["train"]["exp_name"]=exp_name data["train"]["exp_name"]=exp_name
data["train_semantic_path"]="%s/6-name2semantic.tsv"%s1_dir data["train_semantic_path"]="%s/6-name2semantic.tsv"%s1_dir
data["train_phoneme_path"]="%s/2-name2text.txt"%s1_dir data["train_phoneme_path"]="%s/2-name2text.txt"%s1_dir
data["output_dir"]="%s/logs_s1"%s1_dir data["output_dir"]="%s/logs_s1_%s"%(s1_dir,version)
# data["version"]=version # data["version"]=version
os.environ["_CUDA_VISIBLE_DEVICES"]=fix_gpu_numbers(gpu_numbers.replace("-",",")) os.environ["_CUDA_VISIBLE_DEVICES"]=fix_gpu_numbers(gpu_numbers.replace("-",","))
@ -747,13 +771,14 @@ def close1abc():
return "已终止所有一键三连进程", {"__type__": "update", "visible": True}, {"__type__": "update", "visible": False} return "已终止所有一键三连进程", {"__type__": "update", "visible": True}, {"__type__": "update", "visible": False}
def switch_version(version_): def switch_version(version_):
os.environ['version']=version_ os.environ["version"]=version_
global version global version
version = version_ version = version_
if pretrained_sovits_name[-int(version[-1])+2] !='' and pretrained_gpt_name[-int(version[-1])+2] !='':... if pretrained_sovits_name[int(version[-1])-1] !='' and pretrained_gpt_name[int(version[-1])-1] !='':...
else: else:
gr.Warning(i18n(f'未下载{version.upper()}模型')) gr.Warning(i18n(f'未下载{version.upper()}模型'))
return {'__type__':'update', 'value':pretrained_sovits_name[-int(version[-1])+2]}, {'__type__':'update', 'value':pretrained_sovits_name[-int(version[-1])+2].replace("s2G","s2D")}, {'__type__':'update', 'value':pretrained_gpt_name[-int(version[-1])+2]}, {'__type__':'update', 'value':pretrained_gpt_name[-int(version[-1])+2]}, {'__type__':'update', 'value':pretrained_sovits_name[-int(version[-1])+2]} set_default()
return {'__type__':'update', 'value':pretrained_sovits_name[int(version[-1])-1]}, {'__type__':'update', 'value':pretrained_sovits_name[int(version[-1])-1].replace("s2G","s2D")}, {'__type__':'update', 'value':pretrained_gpt_name[int(version[-1])-1]}, {'__type__':'update', 'value':pretrained_gpt_name[int(version[-1])-1]}, {'__type__':'update', 'value':pretrained_sovits_name[int(version[-1])-1]},{'__type__':'update',"value":default_batch_size,"maximum":default_max_batch_size},{'__type__':'update',"value":default_sovits_epoch,"maximum":max_sovits_epoch},{'__type__':'update',"value":default_sovits_save_every_epoch,"maximum":max_sovits_save_every_epoch},{'__type__':'update',"interactive":True if version!="v3"else False}
if os.path.exists('GPT_SoVITS/text/G2PWModel'):... if os.path.exists('GPT_SoVITS/text/G2PWModel'):...
else: else:
@ -902,11 +927,11 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
with gr.Row(): with gr.Row():
exp_name = gr.Textbox(label=i18n("*实验/模型名"), value="xxx", interactive=True) exp_name = gr.Textbox(label=i18n("*实验/模型名"), value="xxx", interactive=True)
gpu_info = gr.Textbox(label=i18n("显卡信息"), value=gpu_info, visible=True, interactive=False) gpu_info = gr.Textbox(label=i18n("显卡信息"), value=gpu_info, visible=True, interactive=False)
version_checkbox = gr.Radio(label=i18n("版本"),value=version,choices=['v1','v2']) version_checkbox = gr.Radio(label=i18n("版本"),value=version,choices=['v1','v2','v3'])
with gr.Row(): with gr.Row():
pretrained_s2G = gr.Textbox(label=i18n("预训练的SoVITS-G模型路径"), value=pretrained_sovits_name[-int(version[-1])+2], interactive=True, lines=2, max_lines=3,scale=9) pretrained_s2G = gr.Textbox(label=i18n("预训练的SoVITS-G模型路径"), value=pretrained_sovits_name[int(version[-1])-1], interactive=True, lines=2, max_lines=3,scale=9)
pretrained_s2D = gr.Textbox(label=i18n("预训练的SoVITS-D模型路径"), value=pretrained_sovits_name[-int(version[-1])+2].replace("s2G","s2D"), interactive=True, lines=2, max_lines=3,scale=9) pretrained_s2D = gr.Textbox(label=i18n("预训练的SoVITS-D模型路径"), value=pretrained_sovits_name[int(version[-1])-1].replace("s2G","s2D"), interactive=True, lines=2, max_lines=3,scale=9)
pretrained_s1 = gr.Textbox(label=i18n("预训练的GPT模型路径"), value=pretrained_gpt_name[-int(version[-1])+2], interactive=True, lines=2, max_lines=3,scale=10) pretrained_s1 = gr.Textbox(label=i18n("预训练的GPT模型路径"), value=pretrained_gpt_name[int(version[-1])-1], interactive=True, lines=2, max_lines=3,scale=10)
with gr.TabItem(i18n("1A-训练集格式化工具")): with gr.TabItem(i18n("1A-训练集格式化工具")):
gr.Markdown(value=i18n("输出logs/实验名目录下应有23456开头的文件和文件夹")) gr.Markdown(value=i18n("输出logs/实验名目录下应有23456开头的文件和文件夹"))
with gr.Row(): with gr.Row():
@ -946,7 +971,7 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
with gr.Row(): with gr.Row():
gpu_numbers1c = gr.Textbox(label=i18n("GPU卡号以-分割，每个卡号一个进程"),value="%s-%s"%(gpus,gpus),interactive=True) gpu_numbers1c = gr.Textbox(label=i18n("GPU卡号以-分割，每个卡号一个进程"),value="%s-%s"%(gpus,gpus),interactive=True)
with gr.Row(): with gr.Row():
pretrained_s2G_ = gr.Textbox(label=i18n("预训练的SoVITS-G模型路径"), value=pretrained_sovits_name[-int(version[-1])+2], interactive=False,lines=2) pretrained_s2G_ = gr.Textbox(label=i18n("预训练的SoVITS-G模型路径"), value=pretrained_sovits_name[int(version[-1])-1], interactive=False,lines=2)
with gr.Row(): with gr.Row():
button1c_open = gr.Button(i18n("开启语义token提取"), variant="primary",visible=True) button1c_open = gr.Button(i18n("开启语义token提取"), variant="primary",visible=True)
button1c_close = gr.Button(i18n("终止语义token提取进程"), variant="primary",visible=False) button1c_close = gr.Button(i18n("终止语义token提取进程"), variant="primary",visible=False)
@ -981,11 +1006,11 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
with gr.Row(): with gr.Row():
with gr.Column(): with gr.Column():
with gr.Row(): with gr.Row():
batch_size = gr.Slider(minimum=1,maximum=40,step=1,label=i18n("每张显卡的batch_size"),value=default_batch_size,interactive=True) batch_size = gr.Slider(minimum=1,maximum=default_max_batch_size,step=1,label=i18n("每张显卡的batch_size"),value=default_batch_size,interactive=True)
total_epoch = gr.Slider(minimum=1,maximum=25,step=1,label=i18n("总训练轮数total_epoch，不建议太高"),value=8,interactive=True) total_epoch = gr.Slider(minimum=1,maximum=max_sovits_epoch,step=1,label=i18n("总训练轮数total_epoch，不建议太高"),value=default_sovits_epoch,interactive=True)
with gr.Row(): with gr.Row():
text_low_lr_rate = gr.Slider(minimum=0.2,maximum=0.6,step=0.05,label=i18n("文本模块学习率权重"),value=0.4,interactive=True) text_low_lr_rate = gr.Slider(minimum=0.2,maximum=0.6,step=0.05,label=i18n("文本模块学习率权重"),value=0.4,interactive=True if version!="v3"else False)#v3 not need
save_every_epoch = gr.Slider(minimum=1,maximum=25,step=1,label=i18n("保存频率save_every_epoch"),value=4,interactive=True) save_every_epoch = gr.Slider(minimum=1,maximum=max_sovits_save_every_epoch,step=1,label=i18n("保存频率save_every_epoch"),value=default_sovits_save_every_epoch,interactive=True)
with gr.Column(): with gr.Column():
with gr.Column(): with gr.Column():
if_save_latest = gr.Checkbox(label=i18n("是否仅保存最新的ckpt文件以节省硬盘空间"), value=True, interactive=True, show_label=True) if_save_latest = gr.Checkbox(label=i18n("是否仅保存最新的ckpt文件以节省硬盘空间"), value=True, interactive=True, show_label=True)
@ -1002,7 +1027,7 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
with gr.Row(): with gr.Row():
with gr.Column(): with gr.Column():
with gr.Row(): with gr.Row():
batch_size1Bb = gr.Slider(minimum=1,maximum=40,step=1,label=i18n("每张显卡的batch_size"),value=default_batch_size,interactive=True) batch_size1Bb = gr.Slider(minimum=1,maximum=40,step=1,label=i18n("每张显卡的batch_size"),value=default_batch_size_s1,interactive=True)
total_epoch1Bb = gr.Slider(minimum=2,maximum=50,step=1,label=i18n("总训练轮数total_epoch"),value=15,interactive=True) total_epoch1Bb = gr.Slider(minimum=2,maximum=50,step=1,label=i18n("总训练轮数total_epoch"),value=15,interactive=True)
with gr.Row(): with gr.Row():
save_every_epoch1Bb = gr.Slider(minimum=1,maximum=50,step=1,label=i18n("保存频率save_every_epoch"),value=5,interactive=True) save_every_epoch1Bb = gr.Slider(minimum=1,maximum=50,step=1,label=i18n("保存频率save_every_epoch"),value=5,interactive=True)
@ -1035,7 +1060,7 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
refresh_button.click(fn=change_choices,inputs=[],outputs=[SoVITS_dropdown,GPT_dropdown]) refresh_button.click(fn=change_choices,inputs=[],outputs=[SoVITS_dropdown,GPT_dropdown])
with gr.Row(): with gr.Row():
with gr.Row(): with gr.Row():
batched_infer_enabled = gr.Checkbox(label=i18n("启用并行推理版本(推理速度更快)"), value=False, interactive=True, show_label=True) batched_infer_enabled = gr.Checkbox(label=i18n("启用并行推理版本"), value=False, interactive=True, show_label=True)
with gr.Row(): with gr.Row():
open_tts = gr.Button(value=i18n("开启TTS推理WebUI"),variant='primary',visible=True) open_tts = gr.Button(value=i18n("开启TTS推理WebUI"),variant='primary',visible=True)
close_tts = gr.Button(value=i18n("关闭TTS推理WebUI"),variant='primary',visible=False) close_tts = gr.Button(value=i18n("关闭TTS推理WebUI"),variant='primary',visible=False)
@ -1043,7 +1068,7 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
tts_info = gr.Textbox(label=i18n("TTS推理WebUI进程输出信息")) tts_info = gr.Textbox(label=i18n("TTS推理WebUI进程输出信息"))
open_tts.click(change_tts_inference, [bert_pretrained_dir,cnhubert_base_dir,gpu_number_1C,GPT_dropdown,SoVITS_dropdown, batched_infer_enabled], [tts_info,open_tts,close_tts]) open_tts.click(change_tts_inference, [bert_pretrained_dir,cnhubert_base_dir,gpu_number_1C,GPT_dropdown,SoVITS_dropdown, batched_infer_enabled], [tts_info,open_tts,close_tts])
close_tts.click(change_tts_inference, [bert_pretrained_dir,cnhubert_base_dir,gpu_number_1C,GPT_dropdown,SoVITS_dropdown, batched_infer_enabled], [tts_info,open_tts,close_tts]) close_tts.click(change_tts_inference, [bert_pretrained_dir,cnhubert_base_dir,gpu_number_1C,GPT_dropdown,SoVITS_dropdown, batched_infer_enabled], [tts_info,open_tts,close_tts])
version_checkbox.change(switch_version,[version_checkbox],[pretrained_s2G,pretrained_s2D,pretrained_s1,GPT_dropdown,SoVITS_dropdown]) version_checkbox.change(switch_version,[version_checkbox],[pretrained_s2G,pretrained_s2D,pretrained_s1,GPT_dropdown,SoVITS_dropdown,batch_size,total_epoch,save_every_epoch,text_low_lr_rate])
with gr.TabItem(i18n("2-GPT-SoVITS-变声")):gr.Markdown(value=i18n("施工中，请静候佳音")) with gr.TabItem(i18n("2-GPT-SoVITS-变声")):gr.Markdown(value=i18n("施工中，请静候佳音"))
app.queue().launch(#concurrency_count=511, max_size=1022 app.queue().launch(#concurrency_count=511, max_size=1022
server_name="0.0.0.0", server_name="0.0.0.0",