Hi everyone?
Would it be possible to turn a normal nam file to a nano without retraining?
Cheers!
There is not an option for that yet.
From what I understood, you can upload LSTM models and NAM will play them seamlessly, but ToneHunt does not offer the filters to find them.
There is a tag system, but users cannot create tags, so you need to rely on their dev team to decide on which tags to create. I have enquired about that with them and they will add tags for different model types - WaveNet, LSTM, GRU - if those become popular.
They already have tags for the model weight (standard-mdl, feather-mdl, nano-mdl) but the usability is a bit skewed yet, as there is no straightforward way to search for a tag yet.
Let’s hope that, with the need of making better distinctions between the models, ToneHunt implements improved filters and also starts fetching metadata from the actual model files.
Is there any way of “compressing” a .nam file into a nano one?
Unfortunately not
I have quite a lot of LSTM NAM models at (http, not https) coginthemachine(dot)ddns(dot)net/mnt/nam and I continuesly try to improve them. Compared to the default settings my models sound so much better/accurate.
One thing I have noticed is that the training parameters for LSTM are extremely sensitive.
Make sure that you use http and not https.