IL version
Nessuary Trigger words:
,louise halevy, Female, blonde hair,short hair, blue eyes( or glistening eyes)
Clothes:
For Dinner corset:
purple headscarf , purple dinner wear,elbow gloves
For Pilotsuit:
pilotsuit,gloves, pilotshoes
pilot helmet,color lens
For turtleneck t-shirt:
turtleneck blue t-shirt,green shirt around waist,pants
For Normal military uniform:
military uniform, white gloves, overlay long skirt, pants, boots
Pony version
Nessuary Trigger words:
,louise halevy, blonde hair, Female, blue eyes( or yellow shining eyes)
Clothes:
For Dinner corset:
purple headscarf , purple dinner wear,white gloves
For Pilotsuit:
pilotsuit
pilot helmet
For turtleneck t-shirt:
turtleneck blue t-shirt,green shirt around waist,pants
For Normal military uniform:
military uniform, white gloves, long skirt, pants, boots
first time i feed large number of material for train , but it should be overtrained and
i still haven't upscale any material (due to my computer are done successfully , RIP 1660super) therefore the photo will come with many noice. the photo refined by my buddy, should less more noice
Also as the author, the result seem not like Louise for me, i am still finding what can i add into describe the Louise's face to fix it. sorry
Still have bad perfomance on full body view picture, will find some way fix it
1.0 version: refined data set, tidied up the trigger word
Nessuary Trigger words:
Louise Halevy (strength 0.7-1)
you may use "22 years old" to generate are more mature face
"short bob haircut" for Louise Halevy's hair style
"157cm"<- i don't know is it useful or not ORZ
Clothes:
For Dinner corset:
purple dinnercorset , short skirt, white long gloves , purple headscarf, large back bow
For Pilotsuit:
pilotsuit
Optional : Spacehelmet<- should be not work fine, you may delete trigger word "Louise Halevy" for generate better pilotsuit + Spacehelmet photo
For turtleneck t-shirt
blue t-shirt with green shirt around waist,
Optional : pants, boot
For Normal military uniform:
taildress serviceuniform
Optional : black boots boots, white gloves
0.2 version: training step 2614 -> 1568