module 'torch.nn.utils.parametrizations' has no attribute 'weight_norm'

[MrVtR]

I'm trying to run tts-fast in Anaconda and it's not working, it's returning this error when I activate the Web UI Does anyone know if there is a solution for this? I followed the setup instructions in this repository correctly

[JeffPlsFix]

What version PyTorch are you using?

you could try using an earlier Voicefixer package:

pip3 install voicefixer==0.1.2

[Dafterfly]

I fixed it by running the torch installation line after running all the installation steps

[MrVtR]

I fixed it by running the torch installation line after running all the installation steps

This line here? pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu117 Because if so, it didn't work, since it's the same version of the torch dependencies that the repo installed on pip install -e .

[MrVtR]

What version PyTorch are you using?

you could try using an earlier Voicefixer package:

pip3 install voicefixer==0.1.2

I'm using torch 1.13.1, the version that is installed with the repo instructions

Edit: Seems that using the pip3 install voicefixer==0.1.2 fix the torch error, but now I have this one when I try to load the web UI:

RuntimeError: Error(s) in loading state_dict for UnifiedVoice: Unexpected key(s) in state_dict: "gpt.h.0.attn.bias", "gpt.h.0.attn.masked_bias", "gpt.h.1.attn.bias", "gpt.h.1.attn.masked_bias", "gpt.h.2.attn.bias", "gpt.h.2.attn.masked_bias", "gpt.h.3.attn.bias", "gpt.h.3.attn.masked_bias", "gpt.h.4.attn.bias", "gpt.h.4.attn.masked_bias", "gpt.h.5.attn.bias", "gpt.h.5.attn.masked_bias", "gpt.h.6.attn.bias", "gpt.h.6.attn.masked_bias", "gpt.h.7.attn.bias", "gpt.h.7.attn.masked_bias", "gpt.h.8.attn.bias", "gpt.h.8.attn.masked_bias", "gpt.h.9.attn.bias", "gpt.h.9.attn.masked_bias", "gpt.h.10.attn.bias", "gpt.h.10.attn.masked_bias", "gpt.h.11.attn.bias", "gpt.h.11.attn.masked_bias", "gpt.h.12.attn.bias", "gpt.h.12.attn.masked_bias", "gpt.h.13.attn.bias", "gpt.h.13.attn.masked_bias", "gpt.h.14.attn.bias", "gpt.h.14.attn.masked_bias", "gpt.h.15.attn.bias", "gpt.h.15.attn.masked_bias", "gpt.h.16.attn.bias", "gpt.h.16.attn.masked_bias", "gpt.h.17.attn.bias", "gpt.h.17.attn.masked_bias", "gpt.h.18.attn.bias", "gpt.h.18.attn.masked_bias", "gpt.h.19.attn.bias", "gpt.h.19.attn.masked_bias", "gpt.h.20.attn.bias", "gpt.h.20.attn.masked_bias", "gpt.h.21.attn.bias", "gpt.h.21.attn.masked_bias", "gpt.h.22.attn.bias", "gpt.h.22.attn.masked_bias", "gpt.h.23.attn.bias", "gpt.h.23.attn.masked_bias", "gpt.h.24.attn.bias", "gpt.h.24.attn.masked_bias", "gpt.h.25.attn.bias", "gpt.h.25.attn.masked_bias", "gpt.h.26.attn.bias", "gpt.h.26.attn.masked_bias", "gpt.h.27.attn.bias", "gpt.h.27.attn.masked_bias", "gpt.h.28.attn.bias", "gpt.h.28.attn.masked_bias", "gpt.h.29.attn.bias", "gpt.h.29.attn.masked_bias".
Traceback:
File "C:\Users\vitor\miniconda3\envs\ttts-fast\lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 535, in _run_script
    exec(code, module.__dict__)
File "C:\Users\vitor\Desktop\tts\tortoise-tts-fast\scripts\app.py", line 278, in <module>
    main()
File "C:\Users\vitor\Desktop\tts\tortoise-tts-fast\scripts\app.py", line 180, in main
    tts = load_model(model_dir, high_vram, kv_cache, ar_checkpoint, diff_checkpoint)
File "C:\Users\vitor\miniconda3\envs\ttts-fast\lib\site-packages\streamlit\runtime\caching\cache_utils.py", line 212, in wrapper
    return cached_func(*args, **kwargs)
File "C:\Users\vitor\miniconda3\envs\ttts-fast\lib\site-packages\streamlit\runtime\caching\cache_utils.py", line 241, in __call__
    return self._get_or_create_cached_value(args, kwargs)
File "C:\Users\vitor\miniconda3\envs\ttts-fast\lib\site-packages\streamlit\runtime\caching\cache_utils.py", line 267, in _get_or_create_cached_value
    return self._handle_cache_miss(cache, value_key, func_args, func_kwargs)
File "C:\Users\vitor\miniconda3\envs\ttts-fast\lib\site-packages\streamlit\runtime\caching\cache_utils.py", line 321, in _handle_cache_miss
    computed_value = self._info.func(*func_args, **func_kwargs)
File "C:\Users\vitor\Desktop\tts\tortoise-tts-fast\app_utils\funcs.py", line 29, in load_model
    return TextToSpeech(
File "C:\Users\vitor\Desktop\tts\tortoise-tts-fast\tortoise\api.py", line 271, in __init__
    self.autoregressive.load_state_dict(torch.load(ar_path))
File "C:\Users\vitor\miniconda3\envs\ttts-fast\lib\site-packages\torch\nn\modules\module.py", line 1671, in load_state_dict
    raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(

[MrVtR]

What version PyTorch are you using? you could try using an earlier Voicefixer package:

pip3 install voicefixer==0.1.2

I'm using torch 1.13.1, the version that is installed with the repo instructions

Edit: Seems that using the pip3 install voicefixer==0.1.2 fix the torch error, but now I have this one when I try to load the web UI:

RuntimeError: Error(s) in loading state_dict for UnifiedVoice: Unexpected key(s) in state_dict: "gpt.h.0.attn.bias", "gpt.h.0.attn.masked_bias", "gpt.h.1.attn.bias", "gpt.h.1.attn.masked_bias", "gpt.h.2.attn.bias", "gpt.h.2.attn.masked_bias", "gpt.h.3.attn.bias", "gpt.h.3.attn.masked_bias", "gpt.h.4.attn.bias", "gpt.h.4.attn.masked_bias", "gpt.h.5.attn.bias", "gpt.h.5.attn.masked_bias", "gpt.h.6.attn.bias", "gpt.h.6.attn.masked_bias", "gpt.h.7.attn.bias", "gpt.h.7.attn.masked_bias", "gpt.h.8.attn.bias", "gpt.h.8.attn.masked_bias", "gpt.h.9.attn.bias", "gpt.h.9.attn.masked_bias", "gpt.h.10.attn.bias", "gpt.h.10.attn.masked_bias", "gpt.h.11.attn.bias", "gpt.h.11.attn.masked_bias", "gpt.h.12.attn.bias", "gpt.h.12.attn.masked_bias", "gpt.h.13.attn.bias", "gpt.h.13.attn.masked_bias", "gpt.h.14.attn.bias", "gpt.h.14.attn.masked_bias", "gpt.h.15.attn.bias", "gpt.h.15.attn.masked_bias", "gpt.h.16.attn.bias", "gpt.h.16.attn.masked_bias", "gpt.h.17.attn.bias", "gpt.h.17.attn.masked_bias", "gpt.h.18.attn.bias", "gpt.h.18.attn.masked_bias", "gpt.h.19.attn.bias", "gpt.h.19.attn.masked_bias", "gpt.h.20.attn.bias", "gpt.h.20.attn.masked_bias", "gpt.h.21.attn.bias", "gpt.h.21.attn.masked_bias", "gpt.h.22.attn.bias", "gpt.h.22.attn.masked_bias", "gpt.h.23.attn.bias", "gpt.h.23.attn.masked_bias", "gpt.h.24.attn.bias", "gpt.h.24.attn.masked_bias", "gpt.h.25.attn.bias", "gpt.h.25.attn.masked_bias", "gpt.h.26.attn.bias", "gpt.h.26.attn.masked_bias", "gpt.h.27.attn.bias", "gpt.h.27.attn.masked_bias", "gpt.h.28.attn.bias", "gpt.h.28.attn.masked_bias", "gpt.h.29.attn.bias", "gpt.h.29.attn.masked_bias".
Traceback:
File "C:\Users\vitor\miniconda3\envs\ttts-fast\lib\site-packages\streamlit\runtime\scriptrunner\script_runner.py", line 535, in _run_script
    exec(code, module.__dict__)
File "C:\Users\vitor\Desktop\tts\tortoise-tts-fast\scripts\app.py", line 278, in <module>
    main()
File "C:\Users\vitor\Desktop\tts\tortoise-tts-fast\scripts\app.py", line 180, in main
    tts = load_model(model_dir, high_vram, kv_cache, ar_checkpoint, diff_checkpoint)
File "C:\Users\vitor\miniconda3\envs\ttts-fast\lib\site-packages\streamlit\runtime\caching\cache_utils.py", line 212, in wrapper
    return cached_func(*args, **kwargs)
File "C:\Users\vitor\miniconda3\envs\ttts-fast\lib\site-packages\streamlit\runtime\caching\cache_utils.py", line 241, in __call__
    return self._get_or_create_cached_value(args, kwargs)
File "C:\Users\vitor\miniconda3\envs\ttts-fast\lib\site-packages\streamlit\runtime\caching\cache_utils.py", line 267, in _get_or_create_cached_value
    return self._handle_cache_miss(cache, value_key, func_args, func_kwargs)
File "C:\Users\vitor\miniconda3\envs\ttts-fast\lib\site-packages\streamlit\runtime\caching\cache_utils.py", line 321, in _handle_cache_miss
    computed_value = self._info.func(*func_args, **func_kwargs)
File "C:\Users\vitor\Desktop\tts\tortoise-tts-fast\app_utils\funcs.py", line 29, in load_model
    return TextToSpeech(
File "C:\Users\vitor\Desktop\tts\tortoise-tts-fast\tortoise\api.py", line 271, in __init__
    self.autoregressive.load_state_dict(torch.load(ar_path))
File "C:\Users\vitor\miniconda3\envs\ttts-fast\lib\site-packages\torch\nn\modules\module.py", line 1671, in load_state_dict
    raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(

109 Applying the solution found on this other issue made the app work without anymore errors, I'm closing the issue here, thanks all!