?????, , 1girl, masterpiece, (extremely intricate:1.2), woman

?????, , 1girl, masterpiece, (extremely intricate:1.2), woman, ultra detailed, finely detailed face, extremely detailed face, pale skin, ????, large ??????, high quality, best quality, realistic, ultra realistic, photorealistic, beautiful delicate eyes, highest quality, highres, Raw Photo, 8k, detailed eyes, highest resolution, (exquisitely detailed skin), light smile, curvy, calm lighting, perfectly drawn eyes, ???? pose, ((deep dark, night, dark theme:1.1)), depth of field, (torn pantyhose:1),(((nami (one piece), long hair, orange hair, brown eyes, earrings, ???? shoulders, shoulder tattoo, ?????? top only, striped ??????, green ??????, out, bracelet, midriff, belt, jeans, denim, ))), ?????????????, lusty smile, strip necklace, ((navel)), wavy hair, floating hair, winblowing hair, short hair, ????? portrait, ???? photography, shiny ??????, show armpit

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기록

프롬프트

?????, , 1girl , masterpiece , (extremely intricate:1 . 2) , woman , ultra detailed , finely detailed face , extremely detailed face , pale skin , ????, large ??????, high quality , best quality , realistic , ultra realistic , photorealistic , beautiful delicate eyes , highest quality , highres , Raw Photo , 8k , detailed eyes , highest resolution , (exquisitely detailed skin) , light smile , curvy , calm lighting , perfectly drawn eyes , ???? pose , ((deep dark , night , dark theme:1 . 1)) , depth of field , (torn pantyhose:1) , (((nami (one piece) , long hair , orange hair , brown eyes , earrings , ???? shoulders , shoulder tattoo , ?????? top only , striped ??????, green ??????, out , bracelet , midriff , belt , jeans , denim , ))) , ?????????????, lusty smile , strip necklace , ((navel)) , wavy hair , floating hair , winblowing hair , short hair , ????? portrait , ???? photography , shiny ??????, show armpit

사이즈

646X1152

날짜

Jul 14, 2024

모드

기본

유형

upscale

Checkpoint & LoRA

majicMIX realistic 麦橘写实

majicMIX realistic 麦橘写实

Nami LoRA「One Piece」

Nami LoRA「One Piece」

epiCRealismHelper

epi_noiseoffset

epi_noiseoffset

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