Ratatouille is a Neural Model loader and mixer for Linux/Windows.  This release introduce a normalization option for NAM models and fix a issue with the normalization (a.k.a loudness compensation) of IR Files (thanks to @avanzzzi ) Ratatouille allow to load up to two neural model files and mix there output. Those models could be [*.nam files](https://tonehunt.org/all) or [*.json or .aidax files](https://cloud.aida-x.cc/all). So you could blend from clean to crunch for example, or, go wild and mix different amp models, or mix a amp with a pedal simulation. Ratatouille using parallel processing to process the second neural model and the second IR-File to reduce the dsp load. The "Delay" control could add a small delay to the second model to overcome phasing issues, or to add some color/reverb to the sound. To round up the sound it allow to load up to two Impulse Response files and mix there output as well. You could try the wildest combinations, or, be conservative and load just your single preferred IR-File. Each neural model may have a different expected Sample Rate, Ratatouille will resample the buffer to match that. Impulse Response Files will be resampled on the fly to match the session Sample Rate. Project Page: https://github.com/brummer10/Ratatouille.lv2 Release Page: https://github.com/brummer10/Ratatouille.lv2