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feat:update v2pro's gpt path, todo:work on v1 transform

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zpeng11 2025-08-20 20:41:20 -04:00
parent bb529e7e4a
commit bc7fe01876
1 changed files with 11 additions and 4 deletions
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15
GPT_SoVITS/onnx_export.py
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@ -225,7 +225,8 @@ class VitsModel(nn.Module):
) )
self.vq_model.eval() self.vq_model.eval()
self.vq_model.load_state_dict(dict_s2["weight"], strict=False) self.vq_model.load_state_dict(dict_s2["weight"], strict=False)
#filter_length: 2048 sampling_rate: 32000 hop_length: 640 win_length: 2048 # print(f"filter_length:{self.hps.data.filter_length} sampling_rate:{self.hps.data.sampling_rate} hop_length:{self.hps.data.hop_length} win_length:{self.hps.data.win_length}")
#v2 filter_length: 2048 sampling_rate: 32000 hop_length: 640 win_length: 2048
def forward(self, text_seq, pred_semantic, spectrum, sv_emb): def forward(self, text_seq, pred_semantic, spectrum, sv_emb):
if self.is_v2p: if self.is_v2p:
return self.vq_model(pred_semantic, text_seq, spectrum, sv_emb=sv_emb)[0, 0] return self.vq_model(pred_semantic, text_seq, spectrum, sv_emb=sv_emb)[0, 0]
@ -251,7 +252,7 @@ class GptSoVits(nn.Module):
self.vits, self.vits,
(text_seq, pred_semantic, spectrum, sv_emb), (text_seq, pred_semantic, spectrum, sv_emb),
f"onnx/{project_name}/{project_name}_vits.onnx", f"onnx/{project_name}/{project_name}_vits.onnx",
input_names=["text_seq", "pred_semantic", "spectrum", "sv_emb"], input_names=["input_text_phones", "pred_semantic", "spectrum", "sv_emb"],
output_names=["audio"], output_names=["audio"],
dynamic_axes={ dynamic_axes={
"input_text_phones": {1: "text_length"}, "input_text_phones": {1: "text_length"},
@ -399,19 +400,25 @@ if __name__ == "__main__":
except: except:
pass pass
# gpt_path = "GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt"
# vits_path = "GPT_SoVITS/pretrained_models/s2G488k.pth"
# exp_path = "v1_export"
# version = "v1"
# export(vits_path, gpt_path, exp_path, version)
gpt_path = "GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s1bert25hz-5kh-longer-epoch=12-step=369668.ckpt" gpt_path = "GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s1bert25hz-5kh-longer-epoch=12-step=369668.ckpt"
vits_path = "GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s2G2333k.pth" vits_path = "GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s2G2333k.pth"
exp_path = "v2_export" exp_path = "v2_export"
version = "v2" version = "v2"
export(vits_path, gpt_path, exp_path, version) export(vits_path, gpt_path, exp_path, version)
gpt_path = "GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s1bert25hz-5kh-longer-epoch=12-step=369668.ckpt" gpt_path = "GPT_SoVITS/pretrained_models/s1v3.ckpt"
vits_path = "GPT_SoVITS/pretrained_models/v2Pro/s2Gv2Pro.pth" vits_path = "GPT_SoVITS/pretrained_models/v2Pro/s2Gv2Pro.pth"
exp_path = "v2pro_export" exp_path = "v2pro_export"
version = "v2Pro" version = "v2Pro"
export(vits_path, gpt_path, exp_path, version) export(vits_path, gpt_path, exp_path, version)
gpt_path = "GPT_SoVITS/pretrained_models/gsv-v2final-pretrained/s1bert25hz-5kh-longer-epoch=12-step=369668.ckpt" gpt_path = "GPT_SoVITS/pretrained_models/s1v3.ckpt"
vits_path = "GPT_SoVITS/pretrained_models/v2Pro/s2Gv2ProPlus.pth" vits_path = "GPT_SoVITS/pretrained_models/v2Pro/s2Gv2ProPlus.pth"
exp_path = "v2proplus_export" exp_path = "v2proplus_export"
version = "v2ProPlus" version = "v2ProPlus"