I would use a single folder, 1 nameofrock bandxyz people (1 repeat_triggerword class)
I would use a single folder, 1 nameofrock bandxyz people (1 repeat_triggerword class)
WHi @Furkan Gözükara SECourses have you tried training a style with dreambooth. I wonder what is different when a checkpoint learning a style compare with lora. Does it learn faster so we can train with lower epoch
Hhi, I trained this sdxl checkpoint in the past https://civitai.com/models/570998/cocaxl-01 but it was impossible to generate character sheets with it. So I trained another checkpoint based on https://civitai.com/models/293331/wildcardx-xl-turbo, the previous one had been trained on juggernaut xl. Not character sheets work better, but there is a problem.
Hfor the same prompt the new model outputs this
Hthe old one outputed this
HI don't mind the output, but it doesn't render the clothing as well as the old model
HI am talking about this
Hfor example for the footwear, when I input "man wearing ((opinci-like moccasins)) " the old model creates pretty accurate opinci, the new one, not as much, also it creates 2 people where as I only asked for one. And in general it doesn't stick to the prompt as well.
HSo my question is: is there something I did wrong with the training? can I do anything to make the new model be more like the old model with respect to accurately represanting the clothing
Fyes but i wont read folder caption if you use txt captions
Fimpossible to know without looking everything it requires full time debug. you can also try flux did you try?
Hit takes way to much time, I have 340 training images scanned from old children's story books, it took 27 hours to train on my wife's hp omen
WBut this is lora not a full model, I already read your writing many times but it's only about lora training
Fit is exactly same for fine tuning
Fyou only change config
WYes but i wonder how about learning speed does full model require less epoch to learn style than lora.
Fit should be around same
Hif I increase the text encoding rate and train again could that improve the results? I used the low vram settings for your tutorial, I just increased the repetitions from 40 to 100 on the first screen
Fit can cook text encoder
FHi Boss @Furkan Gözükara SECourses , for SDXL training I can more or less use the same settings for flux, just changing at the beginning ? Or you recommend different tutorial?
Fwe have sdxl config
Fyou should use it as a base
Fyes, but you dont have like sdxl config file by any chance?
FPatreon
Get more from SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts on Patreon
FYES thank you
Fhave you ever done something like 250 images for sdxl fine tuning?
Fyes i had done style
Feven more than that 
Fcool
Fuow so much faster then flux right?
Fimpressed with the range of emotions in a 256 data set
Fme as a dwarf 
Fnice
Fif you turn down guidence you can stilize really well
Fnice
Xjust trained a lora on a recent sdxl model (noobAI V-pred0.5), and it turned out like this. but some loras trained on epsilon versions works with vpred checkpoints.
this is just a speculation, since the checkpoint is not epsilon structure (dont know what is epsilon or vpred meaning) kohya can't train it or smthing?
this is just a speculation, since the checkpoint is not epsilon structure (dont know what is epsilon or vpred meaning) kohya can't train it or smthing?
Fvery likely. try to train on sdxl base first
Fand see if your config works
X@Furkan Gözükara SECourses a friend asked me to train using his gpu too, so is it possible in kohya or in any other way? I got 4070, he got 4060ti.
Xand I see these checkpoint models trained on 2x A100 GPU, 4x A100 GPU... so we can combine gpus or smthing?
Fnope you cant combine
Flike that
Fon linux 2x 3090 may work for lora
Fhello again, how do I resume a Lora training in Khoya? I know how to pickup a training I left when training a finetuned checkpoint by selecting the latest saved safetensor in the " Pretrained model name or path" but I dont know hot to resume a previews Lora training , thanks for the help
WWI trained model and merge with hyper or turbo 8 step lora. The image result for 8 step for normal gen is ok but the upscale quality is worst than normal
WI wonder if i train on an already merged hyper or turbo does image will be better or not
Fnope i havent
Y