even though it was training from the toml it creates, there was a bug pushing conv alphas and dims,
even though it was training from the toml it creates, there was a bug pushing conv alphas and dims, and other unsupoorted params to flux
Fit uses toml there is no other way to push them
Fit was using default of kohya ss when not pushed
Mi confirmed it with kohya and bmaltis, it still passes through json params
Mwell its fixed now
Fi am gonna train again now with latest version
Flets see if any difference there will be
Mwait
Mdont load in your config
Mcreate a new one manually
Fok
Mlet me know if you get better results, i have been getting better, after running loads of tests
Fi will compare with grid lets see :d
Fanything else to test?
Fi got 8 gpus waiting :d
Fi tested text encoder and i got down to 2 text encoder params
Mi am able to stylize my trainings now
Mhave you tested prior loss weight for reg images? also just training it as person instead of man or woman?
Mhave you also tried kohyas recomendation of shift and 3.1582?
Fyep i tested all prior loss
Fgood one gonna test
Fi tested 1.0
Fit makes impact but didnt like it
Mhave you tried different clip skip values?
Fnope
Mnormally we use clip skip 0
Mon your config you're using 1
Fthen probably ignored
Fi think clip skip 1 in kohya means 0
Fgood point gonna test all now
Mno for kohya clip skip 0 is clip skip 1 for a111
Mi think they fixed it a while back
Fnice making a new config now and starting training all
Fif your ram usage getting like this you will get error. set virtual ram. @Laura Wolf exactly has this error atm
Fi shown that in the video
FYouTubeSECourses
Ultimate Kohya GUI FLUX LoRA training tutorial. This tutorial is product of non-stop 9 days research and training. I have trained over 73 FLUX LoRA models and analyzed all to prepare this tutorial video. The research still going on and hopefully the results will be significantly improved and latest configs and findings will be shared. Please wat...
F00:39:59.240 --> 00:40:06.600
Fin the json file there is no difference
Fonly new thing is "fp8_base_unet"
Fcan you compare?
Min your json that you have v21
its there
its there
M"clip_skip": 1,
Fye clip skip there
Fi mean about removed params
Myou mean when it goes into training the toml?
Fin saved json file
Fi made a fresh one 
Mwhatever was in the json gets trained on the previous kohya one, the latest it doesnt
Mlemme check patreon
Fi am doing new tests
Fclicp skip discerte value