UnboundLocalError: local variable 'bigvgan' referenced before assignment

[trigsoft]

I tried on colab. it works fine with default vocoder.

It returned the error when using bigvgan.

[ZhikangNiu]

@trigsoft Can you provide your code to help me reproduce this problem

[trigsoft]

https://colab.research.google.com/drive/1PHd9Vy6Mf5hNXcudNl8nV9iDv4ht2LTq?usp=sharing

I will send a mail to you with a ref audio. I cannot gen an proper audio with the same content....

[ZhikangNiu]

@trigsoft you need to clone bigvgan follow README instruction, or the following command

[ZhikangNiu]

[ZhikangNiu]

More details is written on the README

[trigsoft]

Can you send me the link please? I don't see the git clone line?

This is what I see

git submodule update --init --recursive # (optional, if need bigvgan)

[trigsoft]

Same error.

!git clone https://github.com/SWivid/F5-TTS.git %cd F5-TTS/src/third_party !git clone https://github.com/NVIDIA/BigVGAN.git %cd ../.. !pip install -e .

[ZhikangNiu]

Same error.

!git clone https://github.com/SWivid/F5-TTS.git %cd F5-TTS/src/third_party !git clone https://github.com/NVIDIA/BigVGAN.git %cd ../.. !pip install -e .

have you changed the bigvgan source code?

[trigsoft]

Same error. !git clone https://github.com/SWivid/F5-TTS.git %cd F5-TTS/src/third_party !git clone https://github.com/NVIDIA/BigVGAN.git %cd ../.. !pip install -e .

have you changed the bigvgan source code?

Current code: !pip install torch==2.3.0+cu118 torchaudio==2.3.0+cu118 --extra-index-url https://download.pytorch.org/whl/cu118 !git clone https://github.com/SWivid/F5-TTS.git %cd F5-TTS/src/third_party !git clone https://github.com/NVIDIA/BigVGAN.git %cd ../.. !pip install -e .

Modified code:

Copyright (c) 2024 NVIDIA CORPORATION.

Licensed under the MIT license.

Adapted from https://github.com/jik876/hifi-gan under the MIT license.

LICENSE is in incl_licenses directory.

import os import sys sys.path.append(os.path.dirname(os.path.abspath(file)))

import os import json from pathlib import Path from typing import Optional, Union, Dict

import torch import torch.nn as nn from torch.nn import Conv1d, ConvTranspose1d from torch.nn.utils import weight_norm, remove_weight_norm

import activations from utils import init_weights, get_padding from alias_free_activation.torch.act import Activation1d as TorchActivation1d from env import AttrDict

[SWivid]

will close this issue, feel free to open if further questions