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(9:16). Raw iPhone 17Pro, 35mm, f/2.8, 자연스러운 보케, 그림자의 디지털 그레인. IdentityLockReferenceA: 완벽한 얼굴 및 헤어 지오메트리 계승. Bio-Fidelity: 미세 모공, 허리와 허벅지의 새틴 마감 수분감, 표피 물리학. 프레이밍: 가슴부터 허벅지까지의 해부학적 초점. 의상: 레오파드 패턴 스팽글 테크니컬 코르셋 탑, 옆면 주름 장식의 블랙 고장력 마이크로 스커트, 건축적인 오버사이즈 블랙 트렌치 코트 오픈 드레이프. 골드 레이어드 목걸이와 보이는 테크니컬 배꼽 피어싱. 과장되게 강조된 S-커브 실루엣, 허리-엉덩이 비율 및 상단 허벅지 지오메트리에 20% 과도한 묘사. 포즈: 서서 거울 셀카 지오메트리, 작은 블랙 백의 은색 체인을 잡고 있는 손. 조명: 따뜻하고 어두운 실내 3000K 조명, 부드러운 앰비언트 오클루전. 환경: 픽셀 완벽한 엘리베이터 내부, 수평 금속 패널, 어두운 미니멀리스트 배경.
프로필 / 아바타 - 초고화질 엘리베이터 거울 셀카 프롬프트
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극도로 사실적이고 보정 없는 iPhone 스타일의 엘리베이터 거울 셀카를 생성하기 위한 매우 기술적인 프롬프트로, 엄격한 신원 보존, 생체 충실도 디테일(미세 모공, 수분감), 특정 의상 구성 요소(레오파드 스팽글 코르셋, 마이크로 스커트), 그리고 S-커브 실루엣에 대한 과장된 해부학적 초점을 강조합니다.
A highly specific JSON prompt for generating a photorealistic mirror selfie taken inside a modern elevator. It details the subject's hyper-realistic physique (toned midsection, voluminous bust with gravity effect), specific attire (metallic bikini, cyan sarong), the pose (holding a smartphone), and the environment, including reflections and elevator panel details, emphasizing realistic skin texture and imperfections.
A highly technical image generation prompt focused on simulating a high-angle, plunging overhead selfie taken with a smartphone camera. The prompt meticulously defines camera failure modes (highlight clipping, chroma noise), lens distortion (mild barrel), and computational photography effects (skin smoothing, sharpening halos) to maximize physical realism and mimic a specific aesthetic, featuring a woman and a black cat.
A highly structured JSON prompt for Nano Banana Pro designed to generate an ultra-realistic, imperfect elevator mirror selfie featuring two friends. The prompt focuses heavily on preserving the exact identity of reference faces, simulating smartphone camera flaws (grain, slight blur, lens distortion), and maintaining a casual, unfiltered aesthetic.
A highly detailed JSON prompt for generating an ultra-realistic luxury elevator mirror selfie of an elegant woman in a black satin slip dress with a deep plunging neckline and high side slit, focusing on reflections, jewelry sparkle, and realistic fabric texture in a glamorous evening setting.
A prompt for generating a photorealistic, minimalist, and moody monochrome profile selfie. The scene is set in an elevator mirror, focusing on the textures of the oversized coat and knit cat-ear hat, with soft diffused lighting and a cool color scheme.
A highly structured prompt simulating a raw, high-contrast 0.5x ultra-wide mirror selfie taken with harsh flash in a mirrored elevator, featuring a trendsetter in a black vinyl bodysuit and leather jacket, emphasizing distortion and an edgy, seductive mood.
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Exponential Interactive, Inc d/b/a VDX.tv
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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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