Pin torch and diffuser versions in requirements #158
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…x_iter' " Issue Thank you for providing me with an interesting project. While exploring Riffusion through streamlit app, I discovered an **issue** and a **solution** for it So I came here to share the solution. TL;DR > pin `torchaudio` version to `2.0.1` > same solution as riffusion#158 --- # What is the Issue🤔  `TypeError: __init__() got an unexpected keyword argument 'max_iter'` # When does it occur⏰ While running '**Text to Audio**' of Riffusion Playground. The process of converting text into a spectrogram image works very well but there is an issue of the process of **extracting audio through converted image** # What is the cause of the issue Due to update of torchaudio in pytorch It is believed to be a structural change in **torchaudio.transforms.InverseMelScale.**  `riffusion-inference\riffusion\spectrogram_converter.py", line 87, in __init__` has keyword arguments named '**max_iter**', '**torlerance_loss**', '**tolerance_change**', '**sgdargs**' ``` # https://pytorch.org/audio/stable/generated/torchaudio.transforms.InverseMelScale.html self.inverse_mel_scaler = torchaudio.transforms.InverseMelScale( n_stft=params.n_fft // 2 + 1, n_mels=params.num_frequencies, sample_rate=params.sample_rate, f_min=params.min_frequency, f_max=params.max_frequency, max_iter=params.max_mel_iters, tolerance_loss=1e-5, tolerance_change=1e-8, sgdargs=None, norm=params.mel_scale_norm, mel_scale=params.mel_scale_type, ).to(self.device) ``` > 📑 A good article to refer to > < [InverseMelScale - Torchaudio 2.0.1 documentation](https://pytorch.org/audio/2.0.1/generated/torchaudio.transforms.InverseMelScale.html?highlight=inversemelscale#torchaudio.transforms.InverseMelScale) > > < [InverseMelScale - Torchaudio 2.1.1 documentation](https://pytorch.org/audio/2.1.1/generated/torchaudio.transforms.InverseMelScale.html?highlight=inverse#torchaudio.transforms.InverseMelScale) > # How to solve the issue☑ We can solve this issue by installing torchaudio which v.2.0.x 1. Please remove the existing torchaudio, torchvision and torch. 2. Please revise the `requirements.txt` as below to install pytorch 2.0.1 Before: ``` ... torch torchaudio torchvision ... ``` After: ``` ... torch==2.0.1 torchaudio==2.0.2 torchvision==0.15.2 ... ``` 3. if you want to use CUDA, install PyTorch and torchaudio with CUDA support before `python -m pip install -r requirements.txt` > It is recommended to install pytorch 2.0.1on account of we pinned the version of torchaudio to 2.0.x . > < [PyTorch 2.0.1 Install Guide](https://pytorch.org/get-started/previous-versions/#v201) > 4. run `python -m pip install -r requirements.txt` # Result: --- Thank you for reading this long issue I hope you all have a great and peaceful Christmas season. Merry Christmas🎄
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