"no reg, no prompt" will work but change the entire model. Barack Obama will look like your trained
"no reg, no prompt" will work but change the entire model. Barack Obama will look like your trained subject.
Ji dont train known people, just ohwx works super
Dyou don't get the point, please read the thread that I linked above first.
Jits about the bleeding i know, if it works it could be usefull, but its only for onetrainer right now?
Dyes. SimpleTuner wants to implement, and I've heard kohya too, but nothing ready
Fgreat results but i couldnt get it :d
TI have a few questions. I'm now trying the DB method for flux training, no captions, 30 images, 1 repeat, 150-200 epoch about 5000-6000steps - is that too much. Also since i'm a male but i have long hair, every sample image during training shows as a women, in my case is it better to provide captions saying I'm a man? Joy caption also thinks I'm female. Also i noticed that in any of my trained/extracted lora, i can never add any other person in the picture, because they all look like me, even though I'm using a numeric trigger, and even if I import another celebrity lora, it just blends the 2 lora's together. is there no way to do an AI image of myself and my favorite celeb? ie. "photo of k3v1n with billie elish" (another lora)
Fabout second part yes it bleeds
F@dxqb found a way to lessen it on onetrainer
Fbut i couldnt make it
Fabout first part only use
Fohwx man
Fit should work with sufficient training
Fi will update patreon post with grids and my best epochs
Fbased on number of images
Fand batch size
Tso inpainting is the only way? how does it work in base flux compared to lora? because in base flux you can specify 2 embedded base celebrities, ie. john wick and taylor swift playing in a concert together.
Fthe problem is that since we train on distilled model
Fit bleeds a lot
Fbut famous people were trained before the distillation
Fso flux de-disttiled models may likely to fix this problem
Fwhen they are ready
Tthank you i understand. So for now, there is no way for me to train me and my friends and create pictures together, even with unique words in a checkpoint? could i train them all at once into a new checkpoint or would it bleed? ie. 1_k3v man, 1_fr1endone, 1_fr1endtwo (ie each friend is a concept)?
Fthere is a way
Fhave yourself in same picture
Fand train on that :d
Fthen it will work
TThank you for all of your help and community contribution, I'm at a university in Canada, and we're looking at upgrading our old Tesla T4 servers in our engineering dept, so we can do more AI research. we're a bit behind.
D@Furkan Gözükara SECourses what were your results with trying to train Flux on your reg data set? I'm attempting something similar
D@Furkan Gözükara SECourses please see here https://discord.com/channels/1102003518203756564/1149379539454140538/1294374243060027475 . I am not entirely sure this has been the reason your config didn't work, but it was the reason someone else's didn't work.
Fnever worked
LDthis is implemented in SimpleTuner now
Fchecking
Fhave you tested there?_
DNo, never used SimpleTuner so it would be a lot of effort for me to try
Dbut checked the code. they do exactly the same thing
Dother people are
Fi will wait kohya
DThe image is a high-resolution photograph featuring a woman with a stern expression, likely in her mid-30s, standing in a dimly lit, industrial setting. She has shoulder-length, straight blonde hair with a slight wave, and her skin has a light, natural complexion with a touch of blush on her cheeks. Her eyebrows are arched, and her lips are slightly pursed, conveying a look of determination or frustration. She is wearing a bright blue zip-up jacket, which is unzipped to reveal a hint of a purple top underneath. The jacket appears to be made of a smooth, synthetic material with a slightly shiny texture.
Civitai auto captioner - its free
Civitai auto captioner - its free
DLots of filler but otherwise reads solid enough
T@Furkan Gözükara SECourses have you tested the 6GB and 8GB configs for DreamBooth Flux training? For some reason i can't get it working on my 2080 super 8GB ram. I've tried both 6 and 8GB. Both crash as it starts the first step. Either out of memory or another error. I have no trouble on 3090. Also on the same PC with 2080 super, i can run fluxgym with same settings and it works.. But its not using DB method. "RuntimeError: CUDA error: out of memory
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1
Compile with
steps: 0%| |"
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1
Compile with
TORCH_USE_CUDA_DSA to enable device-side assertions.steps: 0%| |"
Fyou need 64 gb RAM
F- shared VRAM enabled
V
F712000 steps
Fyou really should watch tutorial
Fprobably made 40 repeat
V