I want to make fanvue AI model. Can you send me a link to your best video from this topic?
I want to make fanvue AI model. Can you send me a link to your best video from this topic?
Fi dont know fanvue AI . i can give you video for flux dreambooth highest quality
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...
CThanks
PHi friends 
Tell me who can do FLUX Full Fine-Tuning as shown in this video
@Furkan Gözükara SECourses How much would such a service cost? Dataset 91 photos.
Tell me who can do FLUX Full Fine-Tuning as shown in this video @Furkan Gözükara SECourses How much would such a service cost? Dataset 91 photos.Fmessaging you
Pwhenever my model puts other people in the scene with faces visible one of them always also has my model's face even if their body is the opposite sex 
Fthis is flux bleed problem
Fvery famous
FMedium
Thoroughly experimented with Fine-Tuning / DreamBooth training of Flux-dev-de-distill, PixelWave v03, Verus Vision and base FLUX Dev model…
Ptoo funny
KAnyone have any ideas about training a Lora on a place. I mean teaching the model about a place to generate as background?
Fthe logic sounds same
Fjust ohwx and the place class
Fthen during inference prompt in details that would describe that place
Kwith 0.0003 LR adamw_8bit do you think 200 epoch for 20 image will make it over trainned?
Fi cant comment based on other configs. but my config wont
KI just found that if you put "from text file per sample" , and dont provide any caption, it still does the lora training. what will it actually do?
KI tried that and it was working without any trigger word. like textual embedding
Fit will use internal caption it has
Fso will work still true
DI've used your Flux dreambooth training presets and the results are amazing. Would training at 1280 x 1280 increase the quality even further or is that useless to try?
Dwell I'm trying it anyway lol but it's going to take awhile
Fsadly not improving
Flet me know results. but i didnt get better 
NI usually do LoRAs over full dreambooth trainings. did one LoRA at 1536x1536. on my 3090 i did 150 epochs on 20 images and it took 22 hours 
same dataset and settings at 1024x1024 had only taken 7 hours. (i think the configs and kohya itself have both been optimized a lot since then) i do feel like the 1536 LoRA is better, more detailed. but after that i stuck with 1024 - didn't feel like the improvement (it's usually subjective by then anyway with character LoRAs from only epoch 100-125 turning out awesome as well) were worth triple the training time.
same dataset and settings at 1024x1024 had only taken 7 hours. (i think the configs and kohya itself have both been optimized a lot since then) i do feel like the 1536 LoRA is better, more detailed. but after that i stuck with 1024 - didn't feel like the improvement (it's usually subjective by then anyway with character LoRAs from only epoch 100-125 turning out awesome as well) were worth triple the training time.
Fyes doesnt help much. but you can try tiled training
Fmay work for objects
DI trained 59 images at 1024 x 1024 190 epochs (of a complex artstyle) and it works great even at high resolutions like 2000x2500 or something without upscaling. So I'm really curious to see if training at 1280x1280 would offer any improvements at high resolutions. I'll let you know whenever it finishes.
Fif you test let me know please ty
DI'll be able to check in a few hours
DSome things look better, some things look worse. I think it's not really worth it...
It seems to add more detail to small text or backgrounds, but the characters look worse
It seems to add more detail to small text or backgrounds, but the characters look worse
Fthanks a lot for info
CI rented massed compute first time after few month off since i have rtx 4090... I though generating wan2.1 will be much faster....lol.. definitely not on L40S lol slow.. Maybe H100, but to expensive..
Ftrue. 4090 is still a beast
Fand china selling 48gb and 96 gb . 48 gb is literally l40s
Kman I'm trying to do dreamboothsdxl training to the likeness of an individual and I've tried so many times and the sample output images continue sucking. I subscribed to the Patreon, can anyone point me towards the most useful pages re: optimal parameters and so on?
KIf your training data set is 59 images and each is being repeated 10 times, how many regularization images is ideal? Also, is repeating 10 times the best number of repeats?
Fhello sorry for late reply
Fi recommend you to train flux and we dont use reg images there
Fhere best tutorial
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...
KThanks apprecaiate it, I have since switrched to flux and am working on that currently.
KWould you say FLUX is the current SOTA for photoealistic images trained to a particular individual?
KI bought the personal consultation thing at Patreon, how do we set that up?
Fwhat is your username?
Fyou can private message me here
Fok i see it
