Yes but i wonder how about learning speed does full model require less epoch to learn style than lor
Yes 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
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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
YYSometimes it messes up with eyes looking direction
YWhat do you think ?
Fi skip in some poses
Fif it generates too close
�If my pics are jpg, should they be converted to png? Which tool should I use if I have a jpg file with say, 300 X 300 px to make it a good training image l?
�
F300x300 is terrible
Fjpg png convert doesnt matter
Fbut if original image png better
�ok thank you. @Furkan Gözükara SECourses I am just about to start dreambooth training, and I want the best quality. I heard you make a note that batch 1 48GB (using a6000) actually yields better quality than batch 7, so the only advantage with batch 7 is the speed. Would you recommend batch 1 then if I want the best quality?
�I am using 66 training images. I went for 125 epochs and save every 25 epoch.
�ok trying out batch 7 first as you suggested, if quality is not good enough, I might run batch 1 later. By the way, Why either 15 or 256 images, is that some sort of magic numbers for fine-tuning? 
Fyep batch size 1
Fi recommend
Fnope it was just a big comparison
Fso that you can know between both works great :d