ok thank you, I probably can't find that id now, when it's deleted?
ok thank you, I probably can't find that id now, when it's deleted?
Fyou cant. when that happens report here and ping me :d
๏ฟฝthank you! btw, should I still use your downloader zip file for kohya when using massed compute? or just run kohya update then run kohya directly from massed compute?
Fbest and most up to date
๏ฟฝexcellent, was just about to start, 91 character training pics. 1 character. 200 epochs save at every 25 should be ok? my last character train with 66 pics, when comparing epocs for realism, 25, 50, 75, 100, 125, the last one, epoch 125 was the best, with 100 being the 2nd best.
F200 could be overfit for 91 images
๏ฟฝso 150?
F150 good
Fand compare checkpoints
๏ฟฝyes, save every 25
Fbut if you wna to be 100% sure 200 way to go
๏ฟฝsure, for research then
๏ฟฝ200, save every 25, then do the amazing prompts and grid you taught us 
thank you for the quick reply, no one works harder than you in AI, and we are grateful!
thank you for the quick reply, no one works harder than you in AI, and we are grateful!Fyou can also save like every 20 or 15 depending on storage
๏ฟฝhow much faster is the h100 compared to the a100 to complete fine tuning?
๏ฟฝi'm taking the h100 now, can try a100 next time.
Fbut this looks wrong
Fwait
Fok it looks true
FL40s and H100 same
Fso L40s would be faster than a100
Factually best case looks like comparing all 3
๏ฟฝha, so more flops means higher speed. how about dual h100, would that make it faster or not?
๏ฟฝThe speed of H100 GPU , 2.54s/it .
Freally good
Fbut dont worth it i think
FA6000 gets 6.3 second
Fso it is like 2.4 times faster
Fbut how many times more expensive
Ftry L40S
๏ฟฝawesome, I will 
Yeah, I'm overpaying atm, but at least I can use my checkpoint tomorrow noon
Yeah, I'm overpaying atm, but at least I can use my checkpoint tomorrow noon ๏ฟฝL40S, got it, thanks!
X@Furkan Gรถzรผkara SECourses Is it possible to put a new optimizer? like this one?https://github.com/derrian-distro/LoRA_Easy_Training_scripts_Backend/blob/main/custom_scheduler/LoraEasyCustomOptimizer/came.py
I saw few people use this optimizer and another thing called REX
I saw few people use this optimizer and another thing called REX
GitHub
The serverside backend created for use with the LoRA Easy Training Scripts Frontend - derrian-distro/LoRA_Easy_Training_scripts_Backend
Xlike this:- ss_optimizer": "LoraEasyCustomOptimizer.came.CAME
Xcreators who train characters use this, like to know how it different from others
S@Furkan Gรถzรผkara SECourses doc, what's limiting my epochs to only 18 and 1600 steps? using the new 48gb configs in kohya.
Fyou can request from kohya only he can do
Fbmaltais error
Freported
Fi put a new bat file that switches back to older working commit
Fyou can use it
Fcd kohya_ss
git checkout d47e3e664286314c6b9728bb38b1c7a576211572
git checkout d47e3e664286314c6b9728bb38b1c7a576211572
R@Furkan Gรถzรผkara SECourses one question for understanding. why would 16GB config be slower than 12gb config. isn't more VRAM better? I am comparing configs and only difference is blocks to swap. should it now slow down training if 12gb config has more blocks to swap ?
Rso for v14 it is necessary to use the bat file fix ? or is it only if this error is encountered
Ralso. 3rd question. do we still need Windows_update_kohya_and_fix_FLUX_Step2 ? or is it not necessary? @Furkan Gรถzรผkara SECourses
SI used these steps in the terminal at kohya_ss folder, still the same issue
Feven kohya couldnt find it
Fit is a weird thing