Yes please and let us know the results 🙂
Yes please and let us know the results 
Fhow does this look didnt try prompt engineering just upscale of dreambooth model
F
Phi @Furkan Gözükara SECourses should I change the learning rate and max train steps for this configuration i am using 48gb batch 1 model and have 214 images ,let me know if i should change or is this perfect?
Fyou dont need to change anything
Fbut 300 epoch for 214 images can be overkill 
Fstill you are saving every 10 epoch so you can compare and find best checkpoint
�@Furkan Gözükara SECourses getting close to 5 minutes on 1 H100 full lora -
FNVME linked machine can use 48 GB VRAM amazing
amazing
Fon massed compute
P@Furkan Gözükara SECourses how much time will this take? or should I do 50 epochs and one checkpoint per 5 epochs?
Mdoes kohya supports traning for Flux Pro?
�flux pro is not open source and only available via API
Fit will take 114 hours
Fyes do 50 epochs
Fflux pro not published so not supporting
Fhere an important tips : https://www.reddit.com/r/SECourses/comments/1isdbw4/when_you_see_your_gpu_watt_usage_is_below_maximum/
Reddit
Explore this post and more from the SECourses community
F6 new experiments going on https://www.reddit.com/r/SECourses/comments/1iscy60/new_6_experiments_started_to_find_out_hopefully/
Reddit
Explore this post and more from the SECourses community
Fupdating my swarmui kaggle notebook it is working better than before
P@Furkan Gözükara SECourses for lora you told the formula to caluclate LR but for flux the LR is fixed to 0.000004 , i am doing 100 epichs and 10 checkpoints on H100
Pso should I keep the LR same 0.0000004
P?
P@Furkan Gözükara SECourses I am getting this error when I click on start training
P@Furkan Gözükara SECourses please reply I am stuck
Flooks like you didnt download or give model paths accurately
FLR changes only when you change batch size
PWhere to give model paths,I just downloaded models by the commands in the txt file and all the modesl are present in downloads folder
PAnd one more error koya isn't showing flux dev option after loading config
Fthat means you didnt do accurately
Fas i guessed
POk then should i delete this gpu and start everything fresh?
Fno you should download models accurately
Fand give their accurate path
Falso did you run kohya installer on massed compute?
Fyou dont use already isntalled one
Ffollow Massed_Compute_Kohya_FLUX_Instructions.txt
PYes I Run from there in the folder from terminal not from desktop
Fdid you copy pasted into downloads folder?
Fare you on massed compute or runpod?
PMassedcompute
Fok then i recommend close all cmds
Fand do from beginning
Fit takes like 2 min to install
Fperhaps set a fresh config
POk fine will watch your tutorial with full attention and follow everything
PAgain
FYouTubeSECourses
If you want to train FLUX with maximum possible quality, this is the tutorial looking for. In this comprehensive tutorial, you will learn how to install Kohya GUI and use it to fully Fine-Tune / DreamBooth FLUX model. After that how to use SwarmUI to compare generated checkpoints / models and find the very best one to generate most amazing image...
F1:13:49 Massed Compute (cheap private cloud training) part of the tutorial starts with how to install Kohya GUI for FLUX training
Fif machine is not broken you skipped a part 100%
PYes this one only tutorial
Fi am running 6 different trainings on massed compute image