Realistic photos, 8k,(((Bob cut ladyboy,Transgender,otokonoko

Realistic photos, 8k,(((Bob cut ladyboy,Transgender,otokonoko))),(((Moist,In a ????? room,having meal,Message posted,squat,Homeless,Beggar,Pale face,It is ?????,Bad smell,?????,odor,Homeless,Depraved,Handsome young Korean ladyboy with bob cut))),(((Very big eyes,Glaring at the camera,Angry face,Looking into the camera,Frowning))),????? is male,1,(Ultra-realistic), (shape), (High resolution), (8k), (Very detailed), (Best shape), (Beautiful details), (Highest quality), (Very detailedな), (masterpiece), (wallpaper), (Detailed face), ((whole body,Flat ?????,Very muscular,Fitness Muscles,Large scale)),alone,Black hair bob cut,(((She put on makeup.,The body is perfect man))),Transgender,Korean,K-Pop,Muscular male ?????,((((whole bodyCompletely ?????)))),(((????))),(((Completely ?????))),((Blonde:1.4)),(((Coast beach at night:1.4))),((Dreadlocks:1.4)),((((woman)))),((???????????:1.4))

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Realistic photos , 8k , (((Bob cut ladyboy , Transgender , otokonoko))) , (((Moist , In a ????? room , having meal , Message posted , squat , Homeless , Beggar , Pale face , It is ?????, Bad smell ,?????, odor , Homeless , Depraved , Handsome young Korean ladyboy with bob cut))) , (((Very big eyes , Glaring at the camera , Angry face , Looking into the camera , Frowning))) ,????? is male , 1 , (Ultra-realistic) , (shape) , (High resolution) , (8k) , (Very detailed) , (Best shape) , (Beautiful details) , (Highest quality) , (Very detailedな) , (masterpiece) , (wallpaper) , (Detailed face) , ((whole body , Flat ?????, Very muscular , Fitness Muscles , Large scale)) , alone , Black hair bob cut , (((She put on makeup ., The body is perfect man))) , Transgender , Korean , K-Pop , Muscular male ?????, ((((whole bodyCompletely ????? )))) , ((( ???? ))) , (((Completely ????? ))) , ((Blonde:1 . 4)) , (((Coast beach at night:1 . 4))) , ((Dreadlocks:1 . 4)) , ((((woman)))) , (( ??????????? :1 . 4))

Size

816X1024

Date

Aug 29, 2024

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upscale

Checkpoint & LoRA

AWPortrait

epiCRealismHelper

epi_noiseoffset

epi_noiseoffset

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