P@Dr. Furkan Gözükara is that a big error or i can move forward with it ?
Pif you dont use xfromers - ignore
Pok thanks. I indeed done use it in comfy or forge
P
PBut if i have this, i should install the cu124 ? @protector131090
D@Dr. Furkan Gözükara I still have the bleeding problem, is imposible to train two or more people, may be is because the lr of TE and unet are incorrect, all bleeds, there is something missing, the base model can differentiate between "Michael Jackson" and "Michael Keaton" both man both Michael and the model can differentiate so is something fundamental that is missing, something did to train the base model that is missing now
J@Dr. Furkan Gözükara Hi, I successfully full finetuned flux but now I got diffusion_pytorch_model-00001-of-00003.safetensors, diffusion_pytorch_model-00002-of-00003.safetensors and diffusion_pytorch_model-00003-of-00003.safetensors after the training, I guess at this point I will have to fusion/merge theses 3 parts for created the whole checkpoint usable for Forge ( so reshard theses 3 shards ) . Would like to know a way to do it, thanks
�He claims to have finetuned Flux @Dr. Furkan Gözükara I thought it wasn't even possible yet? 
Jit's honestly easy with runpod, I think for now I need a tool or a script for "reshards " the 3 parts I get from the training
�Was it through Dreambooth tab in Kohya?
JI tried with kohya but switch to ostris ai tool kit
�Very interesting
Fit is because of cuda torch versions
Fyou can ignore xformers we dont use it
Ffor flux
Fsomeone said he trained 2 person perfectly with no bleed
Fuse 5 image person a 5 person b and 5 person a and b in same image
Fdid you follow my latest advice? no class token
Fwhat softwrae did you use? kohya doesnt do that
Ffine tuning fully possible
Fi am gonna do with kohya
�Oh ok it's becasue I haven't really seen anyone yet with an actual working model. I look forward to your research in that area though 
Fye it is next research
Fwith 8 gpus :d
Fi expect to go as low as 12 gb
Fbut we will see
Fthere are some serious optimizations
Dyes I did, no class, now I balanced better the dataset, and I will make a test with regularization images from the class person because I have different ages and genders, and let's see, my dataset was a little unbalanced all man looked like me even I didn't used any class
PDude on reddit suposedly fine tuned it. Link is a discord link that doesn't work :/
https://www.reddit.com/r/StableDiffusion/comments/1f40dvc/finetunning_the_flux1_for_your_own_data/
https://www.reddit.com/r/StableDiffusion/comments/1f40dvc/finetunning_the_flux1_for_your_own_data/
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M@Dr. Furkan Gözükara have you tried this prompt Anime illustration portrait of ohwx man, forest with lake in the background, high quality, beautiful face, action pose, clear focus, detailed and fantasy setting
D@Dr. Furkan Gözükara but I have to say same dataset same caption including class on sdxl no bleeding at all, I trained 20 or more people at the same time on a single sdxl lora and no bleeding at all, something is missing, idk
Mthis is not a finetune, this is lora training, i went on his discord its just 512x512 lora training with fal
Plol, I figured it might be something shady
Mhis discord is quite shady too i left
Fbalance matters
Fit doesnt work
Fcurrently loras are overfitting
Fmaybe due to flux nature
Fit needs more research
F512 is way lower quality people really doesnt test
Fyou have to test with exact same configuration and compare
Fi will prepare full fine tuning guide hopefully with Kohya
Falso for flux you can have very different angles in train dataset
Flike looking down
Flooking up
Fcompletey side view
Fit really does amazing job
Dmay be, sdxl was mastered to its limits, some things about flux are still a mystery
Fyep so true