Neural Amp Modeler (NAM) in HISE

[Orvillain]

@aaronventure

I'm seeing about 25% here with this. Not sure I understood about the multi container thing.

[aaronventure]

@Orvillain you can still see the two cables going into it. You multi node should contain a neural node and an empty chain node.

[whoopsydoodle]

How well does this nam implementation handle different sample rates? I know some get tripped up if you try to run a sample rate that's different than what your model was trained on.

[scottmire]

Strange....
I'm getting a "function not found" error when calling loadNAMModel

[JulesV]

@Christoph-Hart said in Neural Amp Modeler (NAM) in HISE:

Haha wasn't all that drama about it being 8x slower than the NAM plugin?

I think it was the AidaX, not NAM: https://forum.hise.audio/topic/11326/8-times-more-cpu-consumption-on-aida-x-neural-models

@aaronventure So, apart from AidaX, NAM performance is close to its own plugin, right? Great news then.

[JulesV]

@aaronventure said in Neural Amp Modeler (NAM) in HISE:

@Christoph-Hart said in Neural Amp Modeler (NAM) in HISE:

Can't you just embed the JSON content of the NAM file into a script and it will be embedded in the plugin?

I sure can. I feel silly now. Thank you.

Have you ever tried embedding NAM content as JSON like @Christoph-Hart adviced?

As you mentioned above, I can open them externally, but embed doesn't work here.

[aaronventure]

@JulesV i haven't gotten around to actually implementing this, but it should work, instead of just reading the file as object, i would just paste the data in there

[JulesV]

@aaronventure said in Neural Amp Modeler (NAM) in HISE:

@JulesV i haven't gotten around to actually implementing this, but it should work, instead of just reading the file as object, i would just paste the data in there

This is the nam file (to upload here, I changed the extension to .txt, but you need to change it to .nam after downloading): A73.txt

Using this externally works. But for JSON, Hise cannot load this complex data, which has a lot of weights, and it hangs then crashes.

[Lurch]

@JulesV Don't know if this helps but I have this working fine in my current project:

//ML Model Loader
const neuralNetwork = Engine.createNeuralNetwork("Plasma");

const namModel = FileSystem.getFolder(FileSystem.AudioFiles).getChildFile("Plasma.json").loadAsObject();

neuralNetwork.loadNAMModel(namModel);
;

I renamed my NAM model to a JSON, in this case Plasma.json and put it in AudioFiles as I found Samples wasn't working reliably for me.
This then pops up in the Neural node in scriptnode no problem. This is a 1000 Epoch NAM model so the json is pretty big/has a lots of weights.
Again, hope this helps!
And thanks so much @aaronventure for the help getting this going, it's been a bit of a game changer for me distortion wise!

[aaronventure]

@Lurch said in Neural Amp Modeler (NAM) in HISE:

EDIT: Ignore the Const Var at the end there, copied by accident, doing a few things at once.

this is funny because you could've used the edit to remove it

[Lurch]

@aaronventure it's been a long week :

[sinewavekid]

@Lurch i also got the NAM files working and loading pretty well and easily, just by making a "Neural1.js" file in my project scripts folder , and inside the .js file is just

const Model1 = {paste the entire .nam file contents into here};

and the basic way i was loading it (can be iterated with functions for multiple models/combobox control too) is like this roughly

include("Neural1.js");
const namModel1 = Engine.createNeuralNetwork("NN_1");
namModel1.loadNAMModel(Model1);

and for loading multiple NAM files, i am using a branch node within scriptfx for switching between multiple neural nodes, which allows for 16 max child nodes when turning into a hardcoded master fx ive found . u also have to manually select the networks in every neural node dropdown within ScriptFX, which would be amazing to somehow be able to have it auto select it/load it

if anyone knows a better memory efficient way of using multiple neural nodes, or how to get over the 16 max limit of a branch node(not in the documentation to my knowledge) that would be amazing!

[Sawatakashi]

@sinewavekid wow, genius! could please show me a simple snippet? i still couldn't make it work lol.

[sinewavekid]

@Sawatakashi sure i'll share a simple setup later on when i get a free moment!

[Sawatakashi]

@sinewavekid Thanks, finally I made it. However, I have the same problem: it consumes too much CPU. Hope for a better solution for it as well.