you should watch vidoe without skip
you should watch vidoe without skip
Falso dont have sub folders
Fupgrade gold member i, can connect your pc and setup quickly
AI figured it out, i did not prepare the data again after modifying the values. Thank you
KIf this works I'll eat my hat
K
Fshould work :d
KSeem to
KWill try yet another imposible training now
KGeometrically advanced rear headlights
Fimportance of RAM - Virtual RAM
F
Ti wonder if other class prompt than "man" would be better. my character has no hair, but most men have hair 
so i thought about using "skinhead" or smth. wdyt?
so i thought about using "skinhead" or smth. wdyt?
F you can makeFohwx bald man
Fand prompt as bald
Fbut i think either way should work for flux
KDon't think I'll run this
Fhaha 5k images
Ftrain 1 epoch and see results
Fyou can continue with generated checkpoint later
KReally isn't...
KIt's 243 images
Fnope you have 5040 images
KNope. I really dont!
Fthen you have mistake somewhere
F
KIncluding .txt files
Fyour repeating 10?
For 20 ?
Fyou have something wrong for sure
K40 was default in the config file. I will reduce this
KStill won't be a giant diffrence just by that
KI'm not going to wait that long
KI'll revert to using AI-Toolkit and LORA instead
KThat's soooo much easier
Tjust the kohya dataset prep is a bit weird to understand in their UI
Factually it is easy once you understand logic
Fi explained in this video in details
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...
Fits worst part is reg images usage
B@Dr. Furkan Gözükara have you tried training a Lora on flux1-dev2pro.safetensors instead of the regular Flux dev model? I've read you get better results
Tye but even after i understood it, i prefer to do folder name by hand 
Tnever used reg images luckily
Fnot yet
Fi plan to research
Fye currently i am also doing by hand
Fi am used to it
FRunning 4 new trainings to finalize
15 img vs 256 images
both cases with Batch size 1 vs Batch size 7
15 img vs 256 images
both cases with Batch size 1 vs Batch size 7
Fso total 4 trainings
Tbtw how can i see if it actually used my captions or not?