You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
He Guys, after my first issues, which were solved quickly i play a bit here and there to see and understand different settings.
The tool is really great and maybe some input / questions will help to get it better and stable for further versions.
I tried to use "Option: Vocals will not be separated" by using mode --interactive. But after a while program still separate vocals from audio. Output says:
"Separating vocals from audio with demucs with model htdemucs and cpu as worker
Selected model is a bag of 1 models. You will see that many progress bars per track"
Isn´t it working or is it needed when setting Karaoke txt file?
Also some other outputs I,m not sure if they are okay if i need to do something / adjust on scripts
Loading whisper with model large-v2 and cpu as worker
Lightning automatically upgraded your loaded checkpoint from v1.5.4 to v2.3.3. To apply the upgrade to your files permanently, run python -m pytorch_lightning.utilities.upgrade_checkpoint E:\UltraSinger\.venv\lib\site-packages\whisperx\assets\pytorch_model.bin
Model was trained with pyannote.audio 0.0.1, yours is 3.1.1. Bad things might happen unless you revert pyannote.audio to 0.x.
Model was trained with torch 1.10.0+cu102, yours is 2.0.1+cpu. Bad things might happen unless you revert torch to 1.x.
Pitching with crepe and model full and cpu as worker
2024-12-28 16:10:40.250062: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
Keep going on, it is really a great tool
The text was updated successfully, but these errors were encountered:
The --disable_separation is only for the pipeline. So whisper and crepe will use the full audio instead only the vocals.
It will still output seperate vocal and instumental files.
I think you want --disable_karaoke, which do not output instrumental and vocals files.
For those warnings. I know them. But downgrading these packages would lead to more issues 🤣
He Guys, after my first issues, which were solved quickly i play a bit here and there to see and understand different settings.
The tool is really great and maybe some input / questions will help to get it better and stable for further versions.
I tried to use "Option: Vocals will not be separated" by using mode --interactive. But after a while program still separate vocals from audio. Output says:
"Separating vocals from audio with demucs with model htdemucs and cpu as worker
Selected model is a bag of 1 models. You will see that many progress bars per track"
Isn´t it working or is it needed when setting Karaoke txt file?
Also some other outputs I,m not sure if they are okay if i need to do something / adjust on scripts
Loading whisper with model large-v2 and cpu as worker
Lightning automatically upgraded your loaded checkpoint from v1.5.4 to v2.3.3. To apply the upgrade to your files permanently, run
python -m pytorch_lightning.utilities.upgrade_checkpoint E:\UltraSinger\.venv\lib\site-packages\whisperx\assets\pytorch_model.bin
Model was trained with pyannote.audio 0.0.1, yours is 3.1.1. Bad things might happen unless you revert pyannote.audio to 0.x.
Model was trained with torch 1.10.0+cu102, yours is 2.0.1+cpu. Bad things might happen unless you revert torch to 1.x.
Pitching with crepe and model full and cpu as worker
2024-12-28 16:10:40.250062: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
Keep going on, it is really a great tool
The text was updated successfully, but these errors were encountered: