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# NAM-Runner | ||
A Windows 10 batch file, that installs and runs the NAM model trainer (neural-amp-modeler) right into the GUI application. Fully automated. Custom one-time installation, no Conda required. Runs as a launcher afterwards. Portable install. New pyTorch. Enjoy! | ||
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Usage: | ||
Double click "NAM-Runner.cmd". That's it. | ||
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Needs internet access and ~5.5GB of free drive space for the installed system. | ||
So it needs a few minutes more to install at the first run. | ||
In case anything goes wrong or the installation was corrupted, simply delete the folder "neural-amp-modeler-0.5.0" and run the batch file and let it install again. | ||
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What it does: | ||
The program does a download of NAM release 0.5.0/latest. | ||
The program does a silent python 3.10 standard install. | ||
The program runs a pip install of all required python packages in a virtual environment inside the NAM folder. | ||
The packages are, what the normal conda install of the trainer would install, except an updated pyTorch package, that brings it's own CUDA runtimes, so no additional CUDA installation required. | ||
The program builds the NAM package and runs the default simple GUI app. | ||
In case that the installation has already been made, the batch file just acts as a launcher, activating the virtual environment and run the GUI app. | ||
A nice little one-trick-pony for people who want to avoid using the command line and conda. | ||
No deeper knowledge required. | ||
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Deinstallation: Just delete the folder. That's it. | ||
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A huge THANK YOU to Steve Ack, who programmed NAM, and the helpful and generous NAM community on Facebook and Discord. | ||
Have fun! | ||
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#nam #neural-amp-modeler #guitar #amp #modelling #easy #neural #network #bass #daw #audio #vst #plugin #WaveNet #ML #AI #machine #learning | ||
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