blackteay/GPT-SoVITS
1
0
Fork 0
mirror of https://github.com/RVC-Boss/GPT-SoVITS.git synced 2025-04-06 03:57:44 +08:00
Code Issues Packages Projects Releases Wiki Activity

添加模型记忆功能，不用二次选择模型

Browse Source 
添加模型记忆功能，不用二次选择模型
This commit is contained in:
刘悦 2024-01-26 14:09:50 +08:00 committed by GitHub
parent 813cf96e50
commit 0bcdf0155c
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 21 additions and 4 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

25
GPT_SoVITS/inference_webui.py
View File

@ -6,10 +6,25 @@ logging.getLogger("httpx").setLevel(logging.ERROR)
logging.getLogger("asyncio").setLevel(logging.ERROR) logging.getLogger("asyncio").setLevel(logging.ERROR)
import pdb import pdb
gpt_path = os.environ.get( if os.path.exists("./gweight.txt"):
"gpt_path", "pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt" with open("./gweight.txt", 'r',encoding="utf-8") as file:
) gweight_data = file.read()
sovits_path = os.environ.get("sovits_path", "pretrained_models/s2G488k.pth") gpt_path = os.environ.get(
"gpt_path", gweight_data)
else:
gpt_path = os.environ.get(
"gpt_path", "GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt")
if os.path.exists("./sweight.txt"):
with open("./sweight.txt", 'r',encoding="utf-8") as file:
sweight_data = file.read()
sovits_path = os.environ.get("sovits_path", sweight_data)
else:
sovits_path = os.environ.get("sovits_path", "GPT_SoVITS/pretrained_models/s2G488k.pth")
# gpt_path = os.environ.get(
# "gpt_path", "pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt"
# )
# sovits_path = os.environ.get("sovits_path", "pretrained_models/s2G488k.pth")
cnhubert_base_path = os.environ.get( cnhubert_base_path = os.environ.get(
"cnhubert_base_path", "pretrained_models/chinese-hubert-base" "cnhubert_base_path", "pretrained_models/chinese-hubert-base"
) )
@ -124,6 +139,7 @@ def change_sovits_weights(sovits_path):
vq_model = vq_model.to(device) vq_model = vq_model.to(device)
vq_model.eval() vq_model.eval()
print(vq_model.load_state_dict(dict_s2["weight"], strict=False)) print(vq_model.load_state_dict(dict_s2["weight"], strict=False))
with open("./sweight.txt","w",encoding="utf-8")as f:f.write(sovits_path)
change_sovits_weights(sovits_path) change_sovits_weights(sovits_path)
def change_gpt_weights(gpt_path): def change_gpt_weights(gpt_path):
@ -140,6 +156,7 @@ def change_gpt_weights(gpt_path):
t2s_model.eval() t2s_model.eval()
total = sum([param.nelement() for param in t2s_model.parameters()]) total = sum([param.nelement() for param in t2s_model.parameters()])
print("Number of parameter: %.2fM" % (total / 1e6)) print("Number of parameter: %.2fM" % (total / 1e6))
with open("./gweight.txt","w",encoding="utf-8")as f:f.write(gpt_path)
change_gpt_weights(gpt_path) change_gpt_weights(gpt_path)
def get_spepc(hps, filename): def get_spepc(hps, filename):