Comments (4)
I had the same issue when I tried running this on my old gaming laptop that also had a Nvidia GPU with 2GB's of RAM (bought it brand new in 2014). PyTorch and the newer Cuda drivers it comes with don't play well at all with older GPU's that have anything less than 4GB's of V-RAM.
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python inference.py -i file.mp3 -g 0 -w 256 but I got the error
Try setting --window_size
(-w
) to 384 because it must be greater than 256.
I'm trying to reduce memory usage recently, so it may be fixed in the next version.
from vocal-remover.
Thank you, now it works.
from vocal-remover.
train.py: error: unrecognized arguments: -w 384
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Related Issues (20)
- numpy.core._exceptions._ArrayMemoryError
- Enriching trained data model HOT 1
- training fails with the error "too many indices for array: array is 1-dimensional, but 2 were indexed"
- Training model using only 1 instead of 5 dataset pairs HOT 2
- Add SDR evaluation
- Higher training/validation loss - normal? HOT 4
- Want to use as a Library instead of CLI.
- Support for removing the second voice (choirs) from the main voice.
- Colab issue , Is there any way to set the segment size? HOT 3
- Can the model be exported to ONNX ? HOT 1
- How to use the Karaoke model HOT 5
- Is there any other model that I can use? like ultimatevocalremovergui
- Great job! Thanks a lot! But I need a suggestion... HOT 1
- Error when trying to run inference
- MPS detected, but output doesn't separate HOT 1
- How to find and download pretrained_model? HOT 1
- Error about 'cfloat' in the runtime of inference
- Change aggressiveness of model (inference)
- Does not work on ubuntu 22.04.
- Model for removing instruments? HOT 1
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