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{
"subject": "길고 풍성한 짙은 갈색 웨이브 헤어에 커튼뱅과 밝은 하이라이트가 있는 젊은 여성. 중간 정도의 태닝된 피부와 부드러운 피부결을 가지고 있습니다. 헐렁한 파란색 티셔츠에 칼라 부분에 검은색 테두리가 있고, 몸에 밀착되는 타이트한 하이웨이스트의 선명한 {argument name=\"shorts color\" default=\"파란색\"} 스판덱스 반바지를 입고 있습니다. 매우 굴곡진 몸매로, 과장되고 두드러진 엉덩이-허리 비율을 가지고 있으며, 날씬한 허리와 매우 풍만하고 둥근 엉덩이를 특징으로 합니다. 눈에 띄는 디테일로는 오른쪽 팔뚝 바깥쪽에 큰 꽃 문신과 오른쪽 손목에 녹색 클로버 모티프(알함브라 스타일)가 있는 금색 체인 팔찌가 있습니다. 오른손에는 대리석 무늬 케이스가 있는 흰색 iPhone Pro Max를 들고 있습니다.",
"pose": "서서 거울 셀카를 찍는 자세. 피사체는 등과 왼쪽 옆구리를 거울 쪽으로 향하게 하고, 몸��을 오른쪽으로 날카롭게 비틀어 거울 속 자신을 마주 보고 있습니다. 체중을 이동하여 엉덩이 곡선을 강조합니다. 엉덩이의 돌출을 강조하는 뚜렷한 골반 전방 경사(허리 아치)가 있습니다. 오른팔은 가슴 높이에서 휴대폰을 들기 위해 들어 올렸고, 왼팔은 옆구리에 자연스럽게 늘어져 있습니다. 머리는 살짝 기울어져 거울을 부드럽게 응시하고 있습니다.",
"environment": "작고 밀폐된 실내 공간으로, 탈의실이나 화장실로 보입니다. 벽은 질감이 있는 베이지색 또는 오트밀색 벽지로 덮여 있습니다. 오른쪽에는 나무 다리로 지지되는 어두운 반점 무늬의 화강암 조리대 또는 벤치가 있습니다. 벤치 위에는 빨대와 흰색 뚜껑이 있는 큰 분홍색 텀블러 컵과 자동차 키 fob가 놓여 있습니다. 왼쪽 하단 모서리의 바닥에는 밝은 색상의 정사각형 타일이 보입니다.",
"camera": "거울 셀카 시점. 피사체의 허벅지 위쪽부터 촬영되었습니다. 프레이밍은 수직(세로)입니다. 초점 거리는 일반 스마트폰 카메라 렌즈를 모방하여 피사체와 바로 뒤 배경을 선명하게 포착하며, 피사체에 초점을 맞추고 배경은 약간의 심도 저하가 있습니다.",
"lighting": "탈의실에서 흔히 볼 수 있는 부드럽고 확산된 천장 실내 조명. 빛은 머리카락과 턱 아래에 미묘한 그림자를 드리워 얼굴 윤곽과 머리카락의 풍성함을 강조합니다. 조명은 균일하며, 강한 대비를 피하고, 중성에서 약간 따뜻한 색온도를 가집니다.",
"mood_and_expression": "캐주얼하고 자신감 있으며 매혹적입니다. 표정은 부드러운 입술을 내민 중립적인 표정으로, '배디' 또는 인플루언서 미학을 전달합니다. 분위기는 편안하고 자신에게 집중되어 있습니다.",
"style_and_realism": "고화질 소셜 미디어 리얼리즘. 이 이미지는 인스타그램이나 스냅챗에 게시된 고품질 스마트폰 사진의 느낌을 연출합니다. 신체적 매력과 라이프스타일 기록에 중점을 둡니다. 반바지 원단, 머리카락 가닥, 피부 모공과 같은 질감 디테일이 사실적으로 표현됩니다.",
"colors_and_tone": "팔레트는 중성적인 베이지색과 따뜻한 피부 톤이 지배적이며, 반바지의 선명한 보라색과 밝은 분홍색이 강조됩니다."
}
프로필 / 아바타 - 짐 셀피 인플루언서 미학적 인물 사진
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피팅룸에서 소셜 미디어 인플루언서 미학을 담은 사실적인 거울 셀카를 생성하기 위한 매우 상세한 프롬프트입니다. 피사체의 과장된 신체 (두드러진 둔근-허리 비율), 의상 (선명한 파란색 스판덱스 반바지), 포즈 (아치형 등, 몸통 비틀기), 환경 세부 사항 (질감 있는 벽지, 화강암 카운터, 분홍색 텀블러 컵)을 명시합니다.
A detailed prompt for generating a photorealistic mirror selfie of a confident blonde fitness girl in a trendy gym changing room. It specifies her physique, outfit (white crop top, pink GAP joggers), playful pose (double finger-gun gesture), cinematic lighting, and the background (vibrant orange lockers), aiming for a modern, high-detail social media fitness aesthetic.
A detailed natural language prompt for Gemini Nano Banana Pro 3.0 requesting an ultra-high-detail, photorealistic mirror selfie of a confident blonde fitness influencer in a stylish gym changing room, featuring defined abs, a sleek ponytail, and a playful double finger-gun gesture.
A prompt for generating a photorealistic image of an attractive woman taking a mirror selfie in a modern gym. The prompt specifies details about her outfit, pose (back slightly turned, looking over shoulder), expression, hair, and accessories like painted nails and workout gloves.
A detailed JSON prompt designed for image generation or analysis, specifying the elements of a mirror selfie taken in a gym setting. It meticulously defines the subject's appearance, attire, pose, accessories, environment, and technical photographic aspects like lighting and style.
A highly detailed prompt for generating a mirror selfie in a modern gym locker room, styled as an authentic iPhone wide-angle shot (24mm lens). It specifies the subject's Asian ethnicity, 'slim thick' body type, post-workout glow, and a cocky expression, focusing on realistic details like sweat and mirror smudges.
A structured JSON prompt for generating a photorealistic mirror selfie image of a fit young woman kneeling on a yoga mat in a modern high-rise gym, featuring a dramatic background view of the Eiffel Tower in Paris.
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Data collected and processed: IP addresses, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data
Data collected and processed: IP addresses, Device characteristics, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Authentication-derived identifiers, Browsing and interaction data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Authentication-derived identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, User-provided data, Non-precise location data, Precise location data
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Authentication-derived identifiers, Browsing and interaction data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, User-provided data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
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