AI art "コンバットラーメン🍜" featuring #세일러복, #베레모, #허벅지, #라면, #레이스업 부츠 and #많이 드세요.

コンバットラーメン🍜

158
#맛있게 먹는 소녀가 좋다

masterpiece, high resolution, amazing fine details, sharp focus, clear line, cinematic lighting, solo, young girl, 1girl, red eyes, hime cut, black hair, very long hair, hair ornament, feminine, (((black beret))), earrings, black fingerless glove, red tie, (((black sailor suit))), short sleeves, (((black minimum miniskirt))), black wear, black thigh high boots:1.5, ((crop top)), bangs, ramen shop scene, eating ramen, slurping the noodles with delight, sitting in front of the wall, 4k, 8k, Ultra HD, ((Masterpiece:1.2)), ((Best quality:1.2)), ((Detailed:1.5)), ((Detailed background:1.5)), from above, steam

매개변수 표시
원본 프롬프트
master piece, high resolution, amazing fine details, sharp focus, clear line, cinematic lighting, solo, young girl, 1girl, red eyes, hime cut, black hair, very long hair, hair ornament, feminine, (((black beret))), earrings, black fingerless glove, red tie, (((black sailor suit))), short sleeves, (((black minimum miniskirt))), black wear, black thigh high boots:1.5, ((crop top)), bangs, ramen shop scene, eating ramen, slurping the noodles with delight, sitting in front of the wall,4k,8k,Ultra HD)),((Masterpiece :1.2)),((Best quality :1.2)),((Detailed :1.5)),((Detailed background :1.5))from above, steam,
크기
1280 x 848
샘플링 단계
13
샘플링 방식
LMS
CFG 스케일
1.3
제외 조건
nsfw, worst quality, bad quality, low quality, lowres, anatomical nonsense, artistic error, bad anatomy, interlocked fingers, extra fingers, text, artist name, signature, bad feet, extra toes, ugly, poorly drawn, censor, blurry, watermark, simple background, transparent background, old, oldest, glitch, deformed, mutated, disfigured, long body, bad hands, missing fingers, extra digit, fewer digits, cropped, very displeasing, sketch, jpeg artifacts, username, censored, bar_censor, mosaic_censor, conjoined, bad ai-generated, nsfw, long neck, skin blemishes, skin spots, acne, the wrong limb, error, black line, excess hands
얼굴 보정
고해상도
프롬프트 도우미

모델 및 LoRA 사용