Neural Amp Modeler- local training and capturing without reamp box + Triaxis capture!
Maybe a slightly more convenient way than I saw on other videos.
Thank you Steven Atkinson!
0:00 Intro and demo
1:13 NAM trainer installation
5:45 Profiling amp
11:22 The VST I used and the NAM file for download
12:38 Final thoughts
First, download NAM from here- https://github.com/sdatkinson/NeuralA...
For windows, choose the neuralampmodeler zip file.
1. https://docs.conda.io/en/latest/minic...
2. https://git-scm.com/download/win
Install both in default location
3. Make folder in C call it NAM
4. Run miniconda (Admin) type CD folder destination
5. Type git clone https://github.com/sdatkinson/neural-...
Always if asked yes or no type y and enter.
6. Type cd neural-amp-modeler
7. OPTIONAL but recommended- type conda install -c conda-forge mamba
8. type mamba env update -f environment_gpu.yml
If you did not install mamba- type instead conda env update -f environment_gpu.yml
9. Type conda activate nam and press enter, then type nam and press enter
10. https://colab.research.google.com/git...
Download the V1_1_1.wav
11. Disable input monitor on the destination track, check headphones volume by connecting it to the interface input.
12. Now plug headphones to preamp and pre out to input, mute monitors
Note that some preamps might perform better with ground lift, I didn't encounter any yet.
13. Record 2:59 on 48kHz, 24-bit, mono
14. Render and use the V1 for in and the new file for out, press train!
(Close the graph that pops up)
NAM file- https://tonehunt.org/orensharon/12b38...
Or: https://drive.google.com/drive/folder...
The IR I use- https://livereadysound.com/product/vi...
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