That would be nice but I currently don't have a computer powerful enough to do it :(
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That would be nice but I currently don't have a computer powerful enough to do it :(
***UPDATE***
I've got a new model for everyone to try out! It's the first model made with the newest version of the Vocal Remover. It's NOT compatible with the GUI, as the GUI runs on v2. That means you'll have to run it through the command line. The GUI for v4 is almost done, I'm just working out a few bugs before I release it.
Here's the link - http://www.mediafire.com/file/9npipn...er-v4.zip/file
To run a conversion, use the following commands -
Run on CPU:
python inference.py --input path/to/an/audio/file
Run on GPU:
python inference.py --input path/to/an/audio/file --gpu 0
If you receive an error it might be because you need to update Pytorch. You can update it using the following command:
pip install torch==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html
@djtayz anyway you could hook us up with this new version over on colab? Thanks a million!!
This may be unrelated to your errors completely, but one issue I ran into is that I can't get my GPU to run conversions on the cu101 updates. I am instead using the cu92 versions. I'm not 100% sure which ones have cu92, but for example, torch==1.5.0+cu92 or torch==1.5.1+cu92
You can do the same with the torchvision update if you like.
I messaged you :)
Could you elaborate a little better on this please? I replaced v2 with v4 in my documents. I added a flac file in the v4 folder of my Documents. But I'm not quite getting anything out of the cpu command. Could you maybe lay out the command as though you have an actual one ready to go please for us dummies here?
@Anjok I really need to redo this video. I thought at the time of making it you had to upload the .ipynb file each time which you don't.
That's the issue I had. rolling back to any +cu92 version worked for me
eg: pip install torch==1.5.0+cu92 torchvision==0.6.0+cu92 -f
Or if there's a more recent cu92 available then
pip install torch==1.6.0+cu92 torchvision==0.7.0+cu92 -f
If this doesn't get the GPU conversions back and running then I don't know. That's just how I fixed it for me.
Sorry for all the confusion guys! I might have to overhaul the whole instruction set in the main thread and do more VM tests. This is usually why I wait to put out new releases until I've worked out the kinks at every angle, which I'm still doing. I only released this v4 model because it's currently my best performing model and I wanted to give everyone a chance to test and play with it until my final releases were complete.
In the meantime, post your errors here and I'll help as much as I can.