when I try to train with dreambooth, the safetensor files are massive (23gb each). Is that to be exp
when I try to train with dreambooth, the safetensor files are massive (23gb each). Is that to be expected?
Fyou can later convert into fp8 - half size
SI tried training one on a particular person, and the sample image during training looked perfect, but when I actually use it with flux, it just makes generic people. Is there something else I might've forgotten to do?
Fyep obviously :d
Fi dont know what though
SUpon finishing the training, can I simply move the safetensor files to the lora folder, and generate an image with them using the trigger word? or are there steps I'm unwittingly skipping?
Fthat is not lora
FPatreon
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Fi assume you are telling 23gb files
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...
Slol, I understand. Thanks.
Z
Zand are the faster speeds in the current branch (since it's sd-scripts that are faster)?
V
Fi didnt test i copy pasted sd scripts to test yesterday
Fcoıuldnt start yet planning very soon hopefully
Zwhat did you copy, just sd-scripts flux branch?
Z@Furkan Gözükara SECourses Did you ever do a rank test on Lora Extraction? We know 64 is max, but 63 is only 1.2GB, is there really a difference? 64=12GB 63=1.2GB
ZPersonally, I have only done a small test, but with the wrong model, so it was hard to tell. I am training a new one at the moment, and will test again
WThe max rank that can be extracted is 640 not 64 my friend. Even training with a6000 we already achieve rank 128
ZThanks
ZI totally read that as 64, bummer. More tests 
Fi did tes
FReddit
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Fjust copy paste sd scripts and overwrite gui sd scripts 
WHi @Furkan Gözükara SECourses I wonder if I choose the same epoch to save and use. Are the quality of the same epoch checkpoint when training with 200 epoch and 100 epoch with same learning rate equal or different ? For example I use checkpoint saved after 80 epoch trained one from 200 epoch training trained other from 100 epoch trained
Fwith my config should be same
Fbecause i use constant learning rate
Fkohya made important fixes to SD 3.5
WThank, because after training with your 200 epoch those checkpoint with more than 120 epoch become overtrained so I just want to reduce my training time ?
WCan't wait to download your config with SD 3.5 and test and pay 5 usd more
Fsure you can
Fso let me clarify
Fwith my config
F100 epoch trained
Fsaved
Fthen continued another 100
Fshould be equal to directly training 200
Wthank Doc
Wto continue training I need to tick on these option right ? Maybe you can make a guide about how to continue train a model which require very long training time by separate it into many training section
Fyou can use saved checkpoint
Fthat is not necessary
WFor example I trained 200 epoch but stop at 100 epoch and saved some checkpoint like this
W
WDo I need to recalculate the training rate
Wor I just need to change the epoch to 100 epoch because I already train 100 epoch
Fjust change epoch
Fthats it
Wthank you so much