Hi! Thanks for implementing --cache_latents_to_disk. It saves a lot of time as we don't need to use prepare_buckets_and_latents.py to save .npz files to disk, but instead we can save them directly when training.
However, I'm encountering a problem when using the --cache_latents_to_disk argument. The training takes longer time (it/s) than using the usual --cache_latents. Is this intended or a bug? Because, I thought that latent caching has its own process that is separate from the training.
Using --cache_latents_to_disk

Using --cache_latents

config_file.toml : https://dpaste.com/B6AVPNK2K#
Thank you!
Hi! Thanks for implementing
--cache_latents_to_disk. It saves a lot of time as we don't need to useprepare_buckets_and_latents.pyto save.npzfiles to disk, but instead we can save them directly when training.However, I'm encountering a problem when using the
--cache_latents_to_diskargument. The training takes longer time (it/s) than using the usual--cache_latents. Is this intended or a bug? Because, I thought that latent caching has its own process that is separate from the training.Using

--cache_latents_to_diskUsing

--cache_latentsconfig_file.toml: https://dpaste.com/B6AVPNK2K#Thank you!