you mean: downloads/Kohya GUI Flux/model/Quality_1_Little_June_(serial number).json?
you mean: downloads/Kohya GUI Flux/model/Quality_1_LittleJune(serial number).json?
Fopen that file
Fand look which training folder you used
Fenter that folder
Fsend me screenshot of folder
DThese folders? In the first image (model folder), I moved my safetenosrs into the stableswarmUI LoRA folder already so that's why they aren't there.
D
Fok ohwx dog is your training
Ftry last checkpoint lora
Fi see your image is 25 epoch only
DOk. I will try. what prompt do I use for dog though? If you see my first picture above, it didn't do any inpainting.
Fsegmen may not segment fafce of dog not sure 
Ftry last epoch photo of ohwx dog
Fand see waht you get
Fby the way did you do lora or dreambooth?
Di did dreambooth. Followed fine-tune instructions.
DThank you Dr.
Fif you did dreambooth
Fit is a model selection not lora :d
Fremove lora and select model
Fput models into diffusion_models folder
Dohhhhhhhhh
Dhaha
Dgot it. makes sense.
Dwhich folder of stableswarm does it go in? unet?
Fdiffusion_models
Dthank you.
DThis is the best one I got so far. Pretty good. One on right is AI obviously.
Dmost photos though are blurry.
DGoing through the checkpoints now to find the best one. above was at 150 I believe.
Fif results not good then your dataset not good :d
Dgot it.
Dmaybe cause this dog has a really hard to see face?
DIs massed compute the best way to train models? I have a 16GB memory M2 macbook. Last model took 33 hours to train so I must not have optimized. And I rented two A6000 GPUs.
DAlso, why might this photo be blurry? I just used normal flux model, no fine tuning or LoRAs.
CChange your CFG scale to 1 for flux
Dawesome. tahnk you.
Fhappens sometimes
Fmake more steps
Fand cfg scale 1
MHi there!
Attempting to fully train FLUX with dreambooth on runpod.
Does anybody encounter same trouble?
[rank1]: ValueError: DistributedDataParallel device_ids and output_device arguments only work with single-device/multiple-device GPU modules or CPU modules, but got device_ids [1], output_device 1, and module parameters {device(type='cpu')}.
While using multiple GPU getting this error. Using 2 A100 PCle. If turning off checkbox multi GPU and switching Number of processes to 1 working great.
Using Quality_1_21820MB_16_12_Second_IT.json from Best_Configs_v3
Attempting to fully train FLUX with dreambooth on runpod.
Does anybody encounter same trouble?
[rank1]: ValueError: DistributedDataParallel device_ids and output_device arguments only work with single-device/multiple-device GPU modules or CPU modules, but got device_ids [1], output_device 1, and module parameters {device(type='cpu')}.
While using multiple GPU getting this error. Using 2 A100 PCle. If turning off checkbox multi GPU and switching Number of processes to 1 working great.
Using Quality_1_21820MB_16_12_Second_IT.json from Best_Configs_v3
message.txt5.28KB
Dit's quite difficult to find the right LR for Flux. Because they all work
DYes, I also got to know recently (and after planning to start one training), that multiple GPUs won't work on dreambooth training x flux yet. I shoulda read the post better lol.
MGosh, am I arrogant? I just skimmed through it.
Fi trained lora on multi gpu
Ffine tuning had failed on 48 gb gpu
Fbut didnt try on 80 yet
Fbut i didnt get thgis error on massed compute
Fit was OOM
