V3.0

Although this model was trained based on Illustrious, I was noticed that it produces less error with Noobai eps checkpoints.

I prefer to use, tickle tool prompt + tickle scenario prompt, structure.

TK tools:

• tickled by hands,

• tickled by disembodied hands,

• tickled by paintbrush,

• tickled by hairbrush,

• tickled by mechanical hands,

• tickled by tentacles, tentacles,

TK scenarios:

Here is the tickle scenario prompt. Feel free to modify or design your own scenarios.

tickle restrained chair 痒刑椅

tickle restrained chair, restrained, bound arms, tickling, feet, soles, tickling feet,

arm position:

• outstretched arms,

• arms up, armpits, tickling armpits

foot stock 足枷

foot stock, restrained, tickling, straight on, foreshortening, feet, soles, tickling feet, 

double foot stocks （2 characters）双人足枷

double foot stocks, foreshortening, side-by-side, restrained, foot stock, tickling, feet, soles, tickling feet,

feet on wall 壁足

feet on wall, through wall, screen, straight on, restrained, feet, soles, tickling feet, 

forced ?????????? 强制开腿

forced ??????????, ???????????, bound legs, bound arms, restrained, feet, soles, tickling thigh, tickling armpits,

suspension 捆绑悬挂

suspension, restrained, bound ??????????? legs, feet, tickling feet, 

V2.1

Prompt

same with V2.0

TK methods （select one）:

• tickled by hands,

• tickled by brush,

• tickled by hair brush,

• mechanical hands,

V2

Prompt

• tickle restrained chair, restrained, stationary restraints

Arm position （select one）:

1. outstretched arms,

2. arms up,

Tickling setting:

• feet, toes, soles, tickling, tickling feet,

• armpits, tickling armpits,

• laughing, blush, trembling,

Front view （optional）:

• straight on, foreshortening, foot focus,

V1

It's my first time to train a lora.

The dataset contains 15 images. Issues may exist. Please let me know.

Have fun!

Prompt

tickle restrained chair, feet, soles, toes, tickling, tickle ???????, tickling feet, restrained, stationary restraints

Future plan

Continue collecting and optimizing the training dataset to implement following features:

• Options for tickling methods and tools

• Different composition and angle

• Facial expressions control