it still make sense according to the situation
it still make sense according to the situation
Fbecause when it is training unet it uses those caption vectors
Fwe cache them
Fthey are working really hard
Frented 12 gb gpu to test 12 gb flux lora training 
Ftesting flux training on rtx 3060
J...i hope you are also thinking of us lonely 4090 users 
Fi rent another machine for 24 gb gpus :d
Fso on 1 machine 48 gb on 1 machine 24 gb running
FPatreon
Get more from SECourses: Tutorials, Guides, Resources, Training, FLUX, MidJourney, Voice Clone, TTS, ChatGPT, GPT, LLM, Scripts by Furkan Gözü on Patreon
Fby the way 12 gb still fails i think kohya not properly testing
Show do you do for get that clean expresions?
Fi will try with my training lets see capability of flux
Fuploading newest trainings for testing
V@Dr. Furkan Gözükara ifound kohya does not work at the moment, right?
Vbecause json cannot be loaded from the local disk
Fit works i am treaining with kohya
�I've finally was able to get Kohya to work thanks to your instructions and with your configs, so thank you @Dr. Furkan Gözükara 
�by the way are you running all of your trainings concurrently through one single instance of Kohya? I know you rent the multiple GPUs but can you control them a certain way with their ID like you did with SwarmUI ?
Fyes via command line arguments
Fexport CUDA_VISIBLE_DEVICES=3
Fand also in accelerator settings
F--gpu_ids=1
MTurboEdit: Instant text-based image editing
�That's amazing, thank you Dr.! I'll be testing it out myself soon to see how I can train multiple Loras at once. Would be awesome if you could demonstrate this process in your next Kohya Flux tutorial video
Fyes i will show
FStarting new 8x A6000 GPU on Massed Compute
More tests on the way for FLUX ultimate LoRA workflow - for 48 GB, 24 GB and 12 GB GPUs
I should test fine tuning too
More tests on the way for FLUX ultimate LoRA workflow - for 48 GB, 24 GB and 12 GB GPUs
I should test fine tuning too
FHow to switch kohya massed compute accurate branch
D
DI'm going to start training with one of your configs, what config do you recommend me to start for a rtx 3090?
Fi havent tested new ones still testing currently among those best one is 1e_04_fp8_bf16_accelerate_full_bf16_32_rank
Fmake sure that you have like 500 mb vram usage before starting training
Dthanks
Fthe new tests may have better config
Fi am downloading them to 8x a6000 machine to test
Fthey are completed but not evaluated yet
DI'm going to test your configs but in my previous tests I hade the same bleeding problem I hade with sd3
Dyou should try to train two people of the same class at the same time to test this, this wasn't a problem at all with sdxl using your configs.
Dmay be this will not be fixed until text encoder training is implementes.
DIf the problem persist we will be able to train just one person at a time or a style but not multiple specific persons.
DI will start a training right now with your recomended setting.
Fi am waiting clip l training to test
Fmy settings are not complete yet still in research but give it a try
still in research but give it a tryFthere are so many diff parameters i am yet to test
DThanks, I will test and report if the bleeding persists
NI put everything as you said, thanks!
the link seems to be closed download, found on Civitai model dev from darkwod haginface removed it
the link seems to be closed download, found on Civitai model dev from darkwod haginface removed it
Dother problem I'm seeing is speed to replicate one of my sdxl trainings it will increase from a few days to a couple of months, heheh
NAnother question, is there a list of art styles in flux, tokens to get them
Fcurently it is like 8.3 / 1.8 = 4.6 times slower :d
Fnot that i know
Nwhat are the best ones for Flux right now?
