this is documented somewhere or everybody is making assumptions?
this is documented somewhere or everybody is making assumptions?
Fwell i asked this to top developers and 2 said similar stuff
Fi think people knows it from sd3 architecture
Fmy experiment also proves this
Fi didnt use man class
Fit perfectly learnt
Fand man prompt is still fully impacted
Fbut car prompt is not
DI'm training same parameters no class and regularization images, in the first samples 5 epochs nobody looks like me, this is good I think, the resemblance must apear in the next epochs
Dyes but that happens with sd and sdxl too at a some extent, it generalizes if you train with your name only it bleeds to people even to other genders if you overtrain enough
Fsd and sdxl doesnt have exact same mecahnism though
Fso if you dont caption it will make huge impact
Ffor example even though i fully captioned, it reduced the likelineess very small. impact on sdxl way bigger
Dthat's true
DLets see, it needs more research, It will be cool to know exactly how the base model was trained
Fi am training turbo model
Flets see what comes out of it
Nwhat differences are you seeing\expecting? starting with same configs used on dev? how does speed compare?
Fstill training. i dont expect it to work :d
MHello, trying to train with 3080 10Go on Linux but even with the config Rank_9_7514MB, my GPU is always OOM at the "move text encoders to gpu" step
Many idea ?
Fyou loaded config into dreambooth tab at least once
Fso extract a new config
Fload into lora
Falso you are using accurate branch sd3 flux right
Fhow did you install kohya?
Myes did it the first time and then use the lora tab so I was thinking it was still ok, I will retry 
Fit corrupts 
Mhttps://github.com/bmaltais/kohya_ss.git I'm on branch sd3-flux.1 , in the subdir sd-script I'm on brach sd3
GitHub
Contribute to bmaltais/kohya_ss development by creating an account on GitHub.
Fusing python 3.10.11?
Fi did the vram tests on linux
Fso they are pretty accurate
Mpython 3.12.15
Fwont work
MI commented out the part of the code that test the version 
Fpython is most annoying programming language
MI will try to switch version, the thing is everything seems to load well before "INFO move text encoders to gpu "
M"CUDA out of memory. Tried to allocate 80.00 MiB. GPU 0 has a total capacity of 9.67 GiB of which 42.69 MiB is free. Including non-PyTorch memory, this process has 8.10 GiB memory in use. Of the allocated memory 7.87 GiB is allocated by PyTorch, and 14.33 MiB is reserved by PyTorch but unallocated"
Freally dont waste time
Freinstall with python 3.10.11
MOk thank you ! I will try that
Sgot a question on Adetailer - how do I stop it 'feminizing' my male character? If I have male and female in the same picture it always adds lipstick or something to the male character. I could set it so adetailer works on onely 1 char, but no guarantee that it will pick the right one, plus sometimes you need to do both. Am I missing something?
Fyou are not missing. it would be your luck to get it accurate char with accurate prompt
Fit has multi window option
S
Ro/
SDoes anybody have any ideas how much this commercial license costs?
MI've tried with 3.10.11 it goes a bit further now it OOM at "caching Text Encoder outputs..."
P@Dr. Furkan Gözükara hey on runpod when I deploy comfy ui template, Jupiter lab doesn’t allow me to open the checkpoint folder to add safetensors. Is this normal? I’m able to open the the other folders such as Lora etc
I’ve also tried to train kohya flux Lora using lion scheduler but it fails. Should it be possible to train with the lion scheduler?
on runpod when I deploy comfy ui template, Jupiter lab doesn’t allow me to open the checkpoint folder to add safetensors. Is this normal? I’m able to open the the other folders such as Lora etcI’ve also tried to train kohya flux Lora using lion scheduler but it fails. Should it be possible to train with the lion scheduler?