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https://github.com/litagin02/Style-Bert-VITS2/blob/bbd89794c68e2ffb351d2ba98c33ca5342aef852/docs/TERMS_OF_USE.md?plain=1#L9-L14
It seems that the above items violate the following section of AGPL v…
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Related: https://github.com/litagin02/Style-Bert-VITS2/issues/99
```
Epoch 35(37%)/1000: 3%|█▊ | 5371/156008 [06:36
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调用合成函数,字数不多的情况下,延时都能达到3s。Bert-VITS2 v2.3也是差不多。而同样setup的情况下,Bert-VITS2 v2.2延时基本在300ms以内。请问这是因为fish-speech还有Bert-VITS2 v2.3多加了模型的原因吗?
另外有大佬测过fish-speech的streaming模式延时吗?
我是在V100上测的延时。
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WARNING:OUTPUT_MODEL:D:\AI\Bert-VITS2-Integration-Package is not a git repository, therefore hash value comparison will be ignored.
INFO:torch.distributed.distributed_c10d:Added key: store_based_barr…
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![Screenshot 2024-06-18 115649](https://github.com/litagin02/Style-Bert-VITS2/assets/157165730/75a24ec6-00f7-49c1-a35f-5128f9115670)
解決済みの質問に似たようなエラーの対処法があり試してみたんですが、上手くいきません。
一度、rawとesd.listのみにしてから…
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Hi, does there any Chinese support?
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```
C:\WorkSpace\Style-Bert-VITS2\sbv2\Style-Bert-VITS2\venv\lib\site-packages\pyannote\audio\core\io.py:43: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher …
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大佬好,我的一个数据集只有约为1000条样本,1小时20分钟,请问怎么在现有模型上微调?多谢!