Comments (4)
I think it works. The finetuning code uses hifigan as decoder and everyone could run it. Are you training from scratch and using wrong upsample rates?
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I think it works. The finetuning code uses hifigan as decoder and everyone could run it. Are you training from scratch and using wrong upsample rates?
The error occured I'm training stage 1 from scratch. I didn't change upsample rates. When the vocoder is not hifigan, whether it's stage 1 or stage 2 or finetune, it works fine.
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@zhouyong64 The LibriTTS model is HifiGAN, how come it doesn't work if you could finetune it? I think you need to change the hyperparameters to make it suit HifiGAN like using this configuration instead: https://github.com/yl4579/StyleTTS2/blob/main/Configs/config_libritts.yml
What's the error you got for using hifigan as a decoder?
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@zhouyong64 The LibriTTS model is HifiGAN, how come it doesn't work if you could finetune it? I think you need to change the hyperparameters to make it suit HifiGAN like using this configuration instead: https://github.com/yl4579/StyleTTS2/blob/main/Configs/config_libritts.yml
What's the error you got for using hifigan as a decoder?
I'm training on Chinese data. Now I see I used the wrong configurations. Thanks for help.
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Related Issues (20)
- During training, the graphics memory has been continuously increasing
- May be a bug? input parameters for model.predictor_encoder and model.style_encoder in train_finetune.py
- S_loss = 0 ... why? HOT 2
- Inference Error: context_features exists but no features provided HOT 1
- Speech conditioning like tortoise TTS HOT 1
- FP8 Fine Tuning Crashes HOT 1
- Error Message After Using a fine tuned ASR Model
- Stage 2 Training Fails with NaN Loss on Single GPU Due to Inconsistent Checkpoint Keys
- Getting CUDA Out of memory error in Stage2 training HOT 13
- Multi-lingual training HOT 18
- In training Stage1 after 49th epoch getting RuntimeError: you can only change requires_grad flags of leaf variables, g_loss.requires_grad = True HOT 1
- First stage training after 49th epoch (i.e., when epoch >= TMA_epoch)
- Getting error in d_loss.backward() of first_stage training
- Can the model learn accents not supported by espeak-ng?
- Joint training is failing with Assertion error
- In 2nd stage training AttributeError: 'AudioDiffusionConditional' object has no attribute 'module'
- Questions about Differentiable Duration Modeling HOT 1
- weird chinese pronunciation HOT 3
- Training PL-BERT on styletts2-community/multilingual-pl-bert
- Can anyone please share checkpoints that we get after we complete both stages of training HOT 3
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