Neural Amp Modeler Plug-in is a VST3 and AudioUnit plugin that applies neural network models to audio signals for guitar amplifier emulation.
The plugin lets users load trained neural amp models and apply them to audio in real time within a digital audio workstation. It wraps the Neural Amp Modeler inference engine in iPlug2, a cross-platform plugin framework, to deliver the modeling capability as a standard plugin format that works in most DAWs.
The tool suits musicians and producers who want to use neural amp models in their recording and mixing workflow. It runs on Windows 10 and later, and macOS 10.15 and later. The plugin format offers better stability and routing flexibility than the standalone application, particularly for complex signal chains. Linux users can use an LV2 plugin variant instead. Pre-built installers are available, removing the need to compile from source.
The project has addressed technical debt through refactoring to adopt better practices from the iPlug2 framework. Known limitations include sparse I/O features in the standalone application and occasional graphics backend crashes on Windows systems with both dedicated and integrated graphics, which can be worked around by configuring which GPU the plugin uses. The README notes potential future support for AAX, CLAP, Linux, and iOS formats.
