Sorry, thought you are training flux dev, my data is unrelated to SDXL training
Sorry, thought you are training flux dev, my data is unrelated to SDXL training
Cahh gotcha
Cto clarify, the “fine tune” option is dreambooth right? I’m using your patreon configs now
Cand what are your thoughts on this? for higher image counts do we want more steps?
P@Dr. Furkan Gözükara i have messaged you please check
Fyes dreambooth is = fine tuning
Fwhen you dont use reg images
Fwhen you use reg images still fine tuning but in a more specialized way
F5900 steps good
Fsure checking now
M@Dr. Furkan Gözükara where do you place the .txt captioning files when training a flux checkpoint with your latest dreambooth setup?
I have captions made from JoyCaptions, do i just leave them in the input dataset folder?
I have captions made from JoyCaptions, do i just leave them in the input dataset folder?
Fyes same folder
Flike
Fimage1.png
Fimage1.txt
P@Furkan Gözükara SECourses is captioning better while training on flux+dreambooth? does it give better results?
Mi don't understand this error when i hit start training in dreambooth kohya, does anyone know why I have this "data not found error"?
my kohya prepared data directory looks correct to me :/
my kohya prepared data directory looks correct to me :/
Fi prefer activation token + class token
Flike ohwx man
Fdataset error
POk so I shouldn't add captions right?
Fwatch this section of this video
FYouTubeSECourses
Ultimate Kohya GUI FLUX LoRA training tutorial. This tutorial is product of non-stop 9 days research and training. I have trained over 73 FLUX LoRA models and analyzed all to prepare this tutorial video. The research still going on and hopefully the results will be significantly improved and latest configs and findings will be shared. Please wat...
F17:08 Dataset preparation, emphasizing image captioning, cropping, and resizing
F@m3dia_offline
Fyes i dont recommend
P@Furkan Gözükara SECourses i have 4 A6000 total 192 gb ram the training config will automatically distribute the load among all 4 right?
Pso the speed will be quiet fast for 48 gb 1 batch model?
Fyou need to use multi config
Fand only lora works
Fthis video shows logic and how to multi gpu https://youtu.be/-uhL2nW7Ddw
YouTubeSECourses
Unlock the power of FLUX LoRA training, even if you're short on GPUs or looking to boost speed and scale! This comprehensive guide takes you from novice to expert, showing you how to use Kohya GUI for creating top-notch FLUX LoRAs in the cloud. We'll cover everything: maximizing quality, optimizing speed, and finding the best deals. With our exc...
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PThey are claiming ultra photo realistic it would be really helpful
PFor generating photos of person
Fthese more looks like prompting related
Fbut let me test on myself new trained model an example
PYes 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
