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The tutorial (https://forum.ircam.fr/article/detail/training-rave-models-on-custom-data/) says that --latent_size passed to rave encode sets the number of latent dimensions when exporting for nn~ etc. However, it doesn't work (Flags parsing error: Unknown command line flag 'latent_size') and the code in export.py does not seem to have it as a parsable argument. fidelity is there, but I'd like to be sure how many dimensions the model has in order to be able to patch consistently
The text was updated successfully, but these errors were encountered:
The tutorial (https://forum.ircam.fr/article/detail/training-rave-models-on-custom-data/) says that
--latent_size
passed torave encode
sets the number of latent dimensions when exporting fornn~
etc. However, it doesn't work (Flags parsing error: Unknown command line flag 'latent_size'
) and the code inexport.py
does not seem to have it as a parsable argument.fidelity
is there, but I'd like to be sure how many dimensions the model has in order to be able to patch consistentlyThe text was updated successfully, but these errors were encountered: