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I've installed per documentation.
When trying to run an inference, here is the console output:
python generate.py --ref_path='Face.jpg' --aud_path='Audio.wav' --seed 15 --a_cfg_scale 2 --e_cfg_scale 1 --ckpt_path ./checkpoints/float.pth --no_crop
/run/media/tokenwizard/AI-Stuff/float/venv/lib/python3.8/site-packages/albumentations/__init__.py:13: UserWarning: A new version of Albumentations is available: 2.0.5 (you have 1.4.15). Upgrade using: pip install -U albumentations. To disable automatic update checks, set the environment variable NO_ALBUMENTATIONS_UPDATE to 1.
check_for_updates()
Some weights of the model checkpoint at ./checkpoints/wav2vec2-base-960h were not used when initializing Wav2VecModel: ['lm_head.weight', 'lm_head.bias']
- This IS expected if you are initializing Wav2VecModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing Wav2VecModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
Some weights of Wav2VecModel were not initialized from the model checkpoint at ./checkpoints/wav2vec2-base-960h and are newly initialized: ['wav2vec2.masked_spec_embed']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
/run/media/tokenwizard/AI-Stuff/float/venv/lib/python3.8/site-packages/torch/_utils.py:776: UserWarning: TypedStorage is deprecated. It will be removed in the future and UntypedStorage will be the only storage class. This should only matter to you if you are using storages directly. To access UntypedStorage directly, use tensor.untyped_storage() instead of tensor.storage()
return self.fget.__get__(instance, owner)()
There is no mention of any output file and I do not see any sort of output/result in the working folder or the "results" folder.
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