tools to manipulate audio with riffusion
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is there a chance of using a --medvram or --opt-split-attention? I was trying to use the img2audio.py script to convert a long png to some audio but my card can't allocate enough Vram.
not working via pycharm terminal
I have this error when doing img2audio Python 3.10.6. please help
C:\Users\TheGriot\Desktop\application\Converter.venv\lib\site-packages\torchaudio\compliance\kaldi.py:22: UserWarning: Failed to initialize NumPy: module compiled against API version 0x10 but this version of numpy is 0xe (Triggered internally at ..\torch\csrc\utils\tensor_numpy.cpp:77.)
EPSILON = torch.tensor(torch.finfo(torch.float).eps)
C:\Users\TheGriot\Desktop\application\Converter.venv\lib\site-packages\torchaudio\backend\utils.py:62: UserWarning: No audio backend is available.
warnings.warn("No audio backend is available.")
Traceback (most recent call last):
File "C:\Users\TheGriot\Desktop\application\Converter\riffusion-manipulation\img2audio.py", line 155, in
wav_bytes, duration_s = wav_bytes_from_spectrogram_image(image, duration=int(args.duration), nmels=int(args.nmels), maxvol=int(args.maxvol), power_for_image=float(args.powerforimage))
File "C:\Users\TheGriot\Desktop\application\Converter\riffusion-manipulation\img2audio.py", line 112, in wav_bytes_from_spectrogram_image
samples = waveform_from_spectrogram(
File "C:\Users\TheGriot\Desktop\application\Converter\riffusion-manipulation\img2audio.py", line 56, in waveform_from_spectrogram
Sxx_torch = torch.from_numpy(Sxx).to(device)
RuntimeError: Numpy is not available
Rendering each file in a directory would make it easier for those with potato video cards.
Does upscaling the spectrogram images increase the quality output in any way?
Thoughts on having a script that could take a longer audio file and split it into 5 second spectrograms? e.g. feed it 15 second clip to get 3 spectrogram images
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