can I do multi GPU for FLUX dev dreambooth/finetune ?
can I do multi GPU for FLUX dev dreambooth/finetune ?
A@Dr. Furkan Gözükara how long did it take to train that 10k images model you did ? and what hardware ?
Fyes 80 gb gpus
Fi have shared all info on patreon timings too
Fplease read
Ftime record fine tuning tutorial
Fdaily life stuff taking huge time :d
Fwow windows flux training speed amazing
Falmost alike linux
M
Mtorch 2.5 offically out
Fadded triton
Fnice
Fnow we gonna wait xformers
Fi am recording tutoriakl
FPatreon
Get more from SECourses: FLUX, Tutorials, Guides, Resources, Training, Scripts on Patreon
DThis only impacts training on windows, correct?
DWill it also impact inference/ generations on windows?
Fit depends on scripts
DHow much data does a HF account allow to store?
DThink I'll be needing a lot of space tonight. 
Fi think unlimited :d
Fthey are amazing
Fman this fine tuning video being long as usual :d
DI thought the loras video covered almost all of the settings?
Fyes true did
Fbut i add some extra new stuff like auto crop
Fshowing some swarmui settings
DOhh cool.
DCan I have SwarmUI find models in my comfy unet folder? lol
DI'm running sooo low on space
DI did wanna get rid of duplicates of the same model
Fhuge news
FReddit
Explore this post and more from the StableDiffusion community
Fsure you can give different folder paths
D@Dr. Furkan Gözükara Update on https://huggingface.co/nyanko7/flux-dev-de-distill Training - "T5 Attention Mask and T5-XXL both disabled" lr 0.0001 When starts to overtrain the subjects start to bleed to each other, up to 80 epochs no bleeding and very good resemblance. when is so overtrained on 200 epochs all subjects get mixed together, For inference works perfect with flux-de-distill and also on regular flux-dev and hyper-flux, on regular flux-dev and hyper-flux the resemblance diminish very little may be improves with lower lr, Now I'm going to train with a much lower lr to avoid overtraining and get finer detail learning, I'll use lr for unet 0.00003 and TE 0.00005 (at inference flux-dev-de-distill cfg 3.5, for flux-dev and hyper-flux cfg 1 and distilled cfg 3.5)
KTrying it now, but downloading models was a bitch. The instructions on github is not enough. All models doesn't download
KAnd it's slow!
KMaybe would be faster with triton though 
K
KZzzzz....
KIt better be good, but something tells me this is the first and last video I'm trying with this
DIf you train flux for people, does anyone know if it is better to grey out everything on the photo other than the person? So to train the model only on the person and not on other stuff on the foto?
Dno because then you'd have trouble prompting for anything else than the solid color background
Dbut i am prompting for the keyword anyway right?
KYou should do masked training, but I don't know how that is done. @Dr. Furkan Gözükara might know
Fi did with onetrainer
FMedium
OneTrainer vs Kohya training. Moreover, comparative study of Masked Training effect. Full research.
AOf course you made it you legend lol
RHi All, thanks for the add.
I was seeing that it is HIGHLY recommended to start with the "FLUX LoRA Training Simplified: From Zero..". I have a pretty puny graphics card and think I'm only really interested in training on RunPod/Massed Compute. Would that still be the first one recommended? Thanks!
I was seeing that it is HIGHLY recommended to start with the "FLUX LoRA Training Simplified: From Zero..". I have a pretty puny graphics card and think I'm only really interested in training on RunPod/Massed Compute. Would that still be the first one recommended? Thanks!
Fmassed compute
