got it, even sdxl models wont produce good results with lora merge? or checkpoint train + merge will
got it, even sdxl models wont produce good results with lora merge? or checkpoint train + merge will work?
FSDXL should work fairly well
Ffor flux still bleeds with base 23.8 gb dev model
Sunderstood, thank you!
Ftriton 3 published i think testing
Twow FLUX even adding hair to a skeleton...
Fpowerful 
S@Dr. Furkan Gözükara can I use your tutorial to fine tune an already fine tuned flux model?
S@Dr. Furkan Gözükara Do you have a tutorial for setting up Flux locally on OSX ?
Fsadly not
Fi only have windows and linux tutorials
Fgood news triton 3 now working
Fwe are talking with dev
F
Ftriton 3 published : https://www.reddit.com/r/StableDiffusion/comments/1g45n6n/triton_3_wheels_published_for_windows_and_working/
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Jso for this to work, we need to update all ai apps or just this triton, i will wait until its clear what exsactly to do.
Fyou need to just install it into venvs
Fof your apps
Fi will include it to my installers
Fslowly
Fhopefully i will make a triton tutorial today
Ftime to update some installers
DI Installed the "Kohya_GUI_Flux_Installer_v40" script which works perfectly for flux.
However I also want to train an sdxl model.
When trying to do so I get the error "ModuleNotFoundError: No module named 'xformers'".
Is pip install xformers the correct way?
However I also want to train an sdxl model.
When trying to do so I get the error "ModuleNotFoundError: No module named 'xformers'".
Is pip install xformers the correct way?
Ndreambooth fine-tuning should i choose float? i remember lora is float.
Fcurrently xformers not supported on torch 2.5
Fso make a seperate install and dont run torch 2.5
Ffloat is best
Fbut fp16 also works decent
ZNo matter what Rank config I use, I run out of VRAM 
Lora Training/16GB Vram, using Rank 5
Idle 0.5/16GB used
Are there any updates in branch sd3-flux.1 that are not accounted for in the .json files? Settings wise? I must be missing something
Lora Training/16GB Vram, using Rank 5Idle 0.5/16GB used
Are there any updates in branch sd3-flux.1 that are not accounted for in the .json files? Settings wise? I must be missing something
Nthanks
Ferror is easy
Fyou are loading into dreambooth
For at least once loaded
Fget a fresh config from zip
Fload into lora
ZI don't think so, it's flux_network script
Z
Z
Fif you loaded once it becomes corrupted
Zok, let me start fresh 
Nim trying to train a gaming setup lora (use dreambooth extract) i have 500+ images should i decrease images?
Fwell it depends on purpose
Fif you read latest work 256 images worked very well
Ffor style training more better usually
ZSame result with fresh .json... and it's way over
Fplease message me your json file
Ffrom private message
Falso show your vram before starting training
F@Zet your config is dreambooth corrupted config
Fwhy you dont follow what i say