Move Everything NAM

Neural Amp Modeler audio effect module for Move Everything, based on NeuralAudio by Mike Oliphant and NeuralAmpModelerCore by Steven Atkinson.

Prerequisites

• Move Everything installed on your Ableton Move

Installation

./scripts/install.sh

Features

• Neural amp/effect modeling: Run trained NAM models for realistic amp and pedal emulation
• Cabinet IR convolution: Apply cabinet impulse responses with optional bypass
• Model browser: Hierarchical file browser for selecting .nam model files
• Cabinet browser: Browse and load .wav cabinet IR files, or choose None for full-rig models that already include a cabinet (up to 8192-sample IRs, FFT-convolved)
• Input/Output level: Independent gain staging controls

Parameters

Parameter	Range	Default	Description
input_level	0.0-1.0	0.5	Input gain before model processing
output_level	0.0-1.0	0.5	Output gain after processing
cab_bypass	0-1	0	Bypass cabinet IR convolution

Adding Models and Cabinets

Place .nam model files and .wav cabinet IRs in the module directory on your Move:

/data/UserData/move-anything/modules/chain/audio_fx/nam/models/
/data/UserData/move-anything/modules/chain/audio_fx/nam/cabs/

NAM models can be trained with the Neural Amp Modeler Trainer.

Building

./scripts/build.sh      # Build for ARM64 via Docker
./scripts/install.sh    # Deploy to Move

Credits

• NeuralAmpModelerCore: Steven Atkinson (MIT License)
• NeuralAudio: Mike Oliphant (MIT License)
• RTNeural: Jatin Chowdhury (BSD 3-Clause License)
• math_approx: Jatin Chowdhury (BSD 3-Clause License)
• Move Everything port: Charles Vestal

License

MIT License - See LICENSE file for details.

AI Assistance Disclaimer

This module is part of Move Everything and was developed with AI assistance, including Claude, Codex, and other AI assistants.

All architecture, implementation, and release decisions are reviewed by human maintainers.
AI-assisted content may still contain errors, so please validate functionality, security, and license compatibility before production use.