vanja/neural-amp-modeler-lv2
1
0
Fork 0
mirror of https://github.com/mikeoliphant/neural-amp-modeler-lv2.git synced 2026-05-06 19:50:11 +02:00
Code Issues Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
Mike Oliphant
2024-11-04 08:10:54 -08:00
committed by GitHub
parent 75fcc78bae
commit 84f5851b5d
1 changed files with 1 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+1 -1
View File
@@ -19,7 +19,7 @@ NAM WaveNet models are generally quite expensive to run. This isn't (much of) an
A Raspberry Pi 4 running a 64bit OS can run "standard" NAM models with a bit of room to spare for a cabinet IR and some lightweight effects.
If you are having trouble running a "standard" model, try looking for "feather" (the least expensive) models. You can find a list of ["feather"-tagged models on ToneHunt](https://tonehunt.org/?tags=feather-mdl). Note that tagging models is up to the submitter, so not all "feather" models are tagged as such - you should be able to find more if you dig around.
If you are having trouble running a "standard" model, try looking for "feather", or even "nano" (the least expensive) models. You can find a list of ["feather"-tagged models on ToneHunt](https://tonehunt.org/?tags=feather-mdl). Note that tagging models is up to the submitter, so not all "feather" models are tagged as such - you should be able to find more if you dig around.
### Building