learn how to train lora with flux ... 3 qq aim for over fitting ..yes
some people said its okay for overfitting and change the strength lora to 0.7
so i want to try his statement ,,make an overgfitting lora
i trained and tested on this website,, i cant test it on my gt 730 - -"
i have 10+ tested images now ,, i pretty sure the images tell the story enough
this is what i reviews
1) 3qq trigger dont affect thing , dont need to type it
2 ) this lora believe in prompt .but
-just use the word ,,,,, asian women , young asian womnen ,or
(a young Asian woman with a fair complexion and straight, shoulder-length brown hair with subtle highlights. Her hair has a soft, natural texture and is parted slightly to the side, framing her face. She has a delicate, oval-shaped face with high cheekbones, a small nose, and full lips with a subtle pink gloss. Her eyes are almond-shaped and a light brown color, accentuated with subtle makeup including eyeliner and mascara.) ( skin color , make up can change too i believe )
so many problem here such as
1) some images in my dataset make problem here .. i think i will remove her or dont double repeat on this lovely images ... i forget about " the earing " too
2 this lora ,, she come with earing ,,, i think i have check lots but there is image that she wear earing and i dont tag it ,,,
this is my data setting
36 image , all of them are low quality ,ai creation, its sharp 120 - ( 100 ,90 , 50 )
Base ModelFLUX.1 - dev-fp8
Trigger words 3qq Repeat7 Epoch16
Save Every N Epochs1
Seed-Clip Skip1 Text Encoder learning rate 0.00001
Unet learning rate0.0001LR
Schedulercosine_with_restarts
OptimizerAdamW8b
Network Dim64 Network Alpha32 Gradient Accumulation Steps1 Shuffle caption-Keep n tokens3 Noise offset0.03 Multires noise discount0.1 Multires noise iterations10conv_dim-conv_alpha-Batch Size-
Prompt 3qq , A solo girl with a beautiful face, sweet smile, and black hair with bangs, looking directly at the viewer. Perfect lighting and natural skin texture, soft shadows, and high contrast. Realistic eyes and well-defined facial
featuresSamplereuler
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