blackteay/GPT-SoVITS
1
0
Fork 0
mirror of https://github.com/RVC-Boss/GPT-SoVITS.git synced 2025-04-05 19:41:56 +08:00
Code Issues Packages Projects Releases Wiki Activity

support sovits v3 lora training, 8G GPU memory is enough

Browse Source 
support sovits v3 lora training, 8G GPU memory is enough
This commit is contained in:
RVC-Boss 2025-02-23 00:36:30 +08:00 committed by GitHub
parent 11a0d9a265
commit 56509a17c9
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 31 additions and 29 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

60
webui.py
View File

@ -98,25 +98,25 @@ def set_default():
if if_gpu_ok and len(gpu_infos) > 0:
gpu_info = "\n".join(gpu_infos)
minmem = min(mem)
if version == "v3" and minmem < 14:
# API读取不到共享显存,直接填充确认
try:
torch.zeros((1024,1024,1024,14),dtype=torch.int8,device="cuda")
torch.cuda.empty_cache()
minmem = 14
except RuntimeError as _:
# 强制梯度检查只需要12G显存
if minmem >= 12 :
if_force_ckpt = True
minmem = 14
else:
try:
torch.zeros((1024,1024,1024,12),dtype=torch.int8,device="cuda")
torch.cuda.empty_cache()
if_force_ckpt = True
minmem = 14
except RuntimeError as _:
print("显存不足以开启V3训练")
# if version == "v3" and minmem < 14:
# # API读取不到共享显存,直接填充确认
# try:
# torch.zeros((1024,1024,1024,14),dtype=torch.int8,device="cuda")
# torch.cuda.empty_cache()
# minmem = 14
# except RuntimeError as _:
# # 强制梯度检查只需要12G显存
# if minmem >= 12 :
# if_force_ckpt = True
# minmem = 14
# else:
# try:
# torch.zeros((1024,1024,1024,12),dtype=torch.int8,device="cuda")
# torch.cuda.empty_cache()
# if_force_ckpt = True
# minmem = 14
# except RuntimeError as _:
# print("显存不足以开启V3训练")
default_batch_size = minmem // 2 if version!="v3"else minmem//14
default_batch_size_s1=minmem // 2
else:
@ -127,13 +127,13 @@ def set_default():
if version!="v3":
default_sovits_epoch=8
default_sovits_save_every_epoch=4
max_sovits_epoch=25
max_sovits_save_every_epoch=25
max_sovits_epoch=25#40
max_sovits_save_every_epoch=25#10
else:
default_sovits_epoch=2
default_sovits_save_every_epoch=1
max_sovits_epoch=3
max_sovits_save_every_epoch=3
max_sovits_epoch=3#40
max_sovits_save_every_epoch=3#10
default_batch_size = max(1, default_batch_size)
default_batch_size_s1 = max(1, default_batch_size_s1)
@ -350,7 +350,7 @@ def close_denoise():
return "已终止语音降噪进程", {"__type__":"update","visible":True}, {"__type__":"update","visible":False}
p_train_SoVITS=None
def open1Ba(batch_size,total_epoch,exp_name,text_low_lr_rate,if_save_latest,if_save_every_weights,save_every_epoch,gpu_numbers1Ba,pretrained_s2G,pretrained_s2D,if_grad_ckpt):
def open1Ba(batch_size,total_epoch,exp_name,text_low_lr_rate,if_save_latest,if_save_every_weights,save_every_epoch,gpu_numbers1Ba,pretrained_s2G,pretrained_s2D,if_grad_ckpt,lora_rank):
global p_train_SoVITS
if(p_train_SoVITS==None):
with open("GPT_SoVITS/configs/s2.json")as f:
@ -373,6 +373,7 @@ def open1Ba(batch_size,total_epoch,exp_name,text_low_lr_rate,if_save_latest,if_s
data["train"]["save_every_epoch"]=save_every_epoch
data["train"]["gpu_numbers"]=gpu_numbers1Ba
data["train"]["grad_ckpt"]=if_grad_ckpt
data["train"]["lora_rank"]=lora_rank
data["model"]["version"]=version
data["data"]["exp_dir"]=data["s2_ckpt_dir"]=s2_dir
data["save_weight_dir"]=SoVITS_weight_root[int(version[-1])-1]
@ -383,7 +384,7 @@ def open1Ba(batch_size,total_epoch,exp_name,text_low_lr_rate,if_save_latest,if_s
if version in ["v1","v2"]:
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)
cmd = '"%s" GPT_SoVITS/s2_train_v3_lora.py --config "%s"'%(python_exec,tmp_config_path)
yield "SoVITS训练开始：%s"%cmd, {"__type__":"update","visible":False}, {"__type__":"update","visible":True}
print(cmd)
p_train_SoVITS = Popen(cmd, shell=True)
@ -803,7 +804,7 @@ def switch_version(version_):
else:
gr.Warning(i18n(f'未下载{version.upper()}模型'))
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},{'__type__':'update',"value":False if not if_force_ckpt else True, "interactive":True if not if_force_ckpt else False},{'__type__':'update',"interactive":False if version == "v3" else True,"value":False}
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',"visible":True if version!="v3"else False},{'__type__':'update',"value":False if not if_force_ckpt else True, "interactive":True if not if_force_ckpt else False},{'__type__':'update',"interactive":False if version == "v3" else True,"value":False},{'__type__':'update',"visible":True if version=="v3"else False}
if os.path.exists('GPT_SoVITS/text/G2PWModel'):...
else:
@ -1034,7 +1035,8 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
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=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():
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
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,visible=True if version!="v3"else False)#v3 not need
lora_rank = gr.Radio(label=i18n("lora_rank"), value="32", choices=['16', '32', '64', '128'],visible=True if version=="v3"else False)#v1v2 not need
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():
@ -1070,7 +1072,7 @@ with gr.Blocks(title="GPT-SoVITS WebUI") as app:
button1Bb_close = gr.Button(i18n("终止GPT训练"), variant="primary",visible=False)
with gr.Row():
info1Bb=gr.Textbox(label=i18n("GPT训练进程输出信息"))
button1Ba_open.click(open1Ba, [batch_size,total_epoch,exp_name,text_low_lr_rate,if_save_latest,if_save_every_weights,save_every_epoch,gpu_numbers1Ba,pretrained_s2G,pretrained_s2D,if_grad_ckpt], [info1Ba,button1Ba_open,button1Ba_close])
button1Ba_open.click(open1Ba, [batch_size,total_epoch,exp_name,text_low_lr_rate,if_save_latest,if_save_every_weights,save_every_epoch,gpu_numbers1Ba,pretrained_s2G,pretrained_s2D,if_grad_ckpt,lora_rank], [info1Ba,button1Ba_open,button1Ba_close])
button1Ba_close.click(close1Ba, [], [info1Ba,button1Ba_open,button1Ba_close])
button1Bb_open.click(open1Bb, [batch_size1Bb,total_epoch1Bb,exp_name,if_dpo,if_save_latest1Bb,if_save_every_weights1Bb,save_every_epoch1Bb,gpu_numbers1Bb,pretrained_s1], [info1Bb,button1Bb_open,button1Bb_close])
button1Bb_close.click(close1Bb, [], [info1Bb,button1Bb_open,button1Bb_close])
@ -1094,7 +1096,7 @@ 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"))
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])
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, if_grad_ckpt, batched_infer_enabled])
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, if_grad_ckpt, batched_infer_enabled, lora_rank])
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
server_name="0.0.0.0",