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주제 참조: [INSERTSUBJECTNAME]의 전신 초상화.
장면 설명: [INSERTPOSEDESCRIPTION] 자세를 취한 피사체의 전신 중앙 초상화. 피사체는 [INSERTEXPRESSION] 표정을 짓고 카메라를 똑바로 응시하고 있다. 피사체 바로 뒤 배경은 [INSERTBACKGROUNDTYPE, 예: seamless, pure high-key white studio backdrop]이다. 결정적으로, 피사체는 볼류메트릭 스튜디오 조명으로 조명되어 깊은 입체감, 사실적인 그림자, 그리고 몸과 의상의 주름에 강한 3D 품질을 만들어내며, 바닥에 그림자를 드리우지 않고 평평한 배경과 뚜렷하게 구분된다.
핵심 세부 사항 (UI 레이어): 전체 사진 이미지는 시뮬레이션된 휴대폰 브라우저 인터페이스 오버레이 아래에 디지털 방식으로 레이어링되어 있다. 4개의 뚜렷하고 깨끗한 흰색 직사각형 브라우저 창 요소가 수직으로 쌓여 있고 약간 기울어져 피사체를 분할한다. 각 창 막대에는 선명한 텍스트 '{argument name="link text" default="[INSERT LINK OR TEXT HERE]"}'가 포함되어 있다. 활성 흰색 브라우저 창 외부 영역은 단색의 균일한 짙은 차콜 그레이/블랙 무광 UI 프레임이며, 빛 번짐이나 색상 그라데이션이 전혀 없다.
스타일: 하이브리드 구성: 깊은 색상 깊이를 가진 매우 사실적인 3차원 스튜디오 사진에 평평하고 깨끗한 디지털 그래픽이 오버레이되어 있다. 조명 품질: 피사체에만 집중된 특정 볼류메트릭 스튜디오 조명. 약간 중앙에서 벗어난 부드러운 지향성 조명으로 몸과 풍부한 직물 질감을 조각하여 깊이감을 만든다. 배경은 완전히 평평하게 유지되어야 한다.
색상 팔레트: 고대비. 어두운 무광 회색 UI로 둘러싸인 [INSERTBACKGROUNDCOLOR] 배경에 [INSERTOUTFITCOLOR] 의상.
질감 및 분위기: 사실적인 피부와 풍부한 직물 질감이 UI의 부드러운 디지털 요소와 대비된다. 스크린 캡처를 모방하기 위해 미묘한 디지털 노이즈/그레인을 의도적으로 포함한다. 전신 중앙 초상화. 분할 전에 머리와 발이 프레임 안에 완전히 들어오도록 한다. 각도: 피사체에 수직인 정면 눈높이 시점.
프레임 요소: 겹쳐진 4개의 흰색 브라우저 창/탭. 우아하고 유연한 포즈. 하단 인터페이스 요소(예: 'Private', 'Done')는 깨끗하고 잘 보여야 한다. 초점 거리: 사실적인 비율을 위한 표준 인물 렌즈(약 50mm 상당).
카메라 유형: 전문가 사진의 시뮬레이션된 고품질 스마트폰 화면 캡처. 피사계 심도: 피사체에 선명하게 초점을 맞추고 배경을 부드럽게 할 만큼 얕다. 후처리: 깨끗한 디지털 분할. 깊이감을 높이기 위해 대비 조정.
피해야 할 키워드: 바닥 그림자, 평평한 조명, 2D 느낌, 일관성 없는 UI 색상, 번지는 색상, HDR, 과도하게 선명하게 처리됨. 위치: 시뮬레이션된 전자상거래 스튜디오([INSERTBACKGROUNDTYPE]).
제품 마케팅 - 디지털 UI 오버레이가 적용된 스튜디오 인물 사진
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높은 사실감을 가진 볼류메트릭 조명 스튜디오 인물 사진과 피사체를 분할하는 평면적이고 깔끔한 디지털 그래픽 오버레이를 결합하여 모바일 폰 브라우저 인터페이스를 시뮬레이션하는 독특한 하이브리드 구성 프롬프트로, 이커머스 또는 개념 예술에 이상적입니다.
A complex, multi-layered prompt designed to generate a high-contrast, three-dimensional studio portrait overlaid with a simulated mobile phone browser interface. It specifies volumetric studio lighting to sculpt the subject sharply against a flat background, with four angled, overlapping white browser windows segmenting the image, ideal for conceptual e-commerce or digital art.
A comprehensive, multi-step workflow using design agent 'Lovart' (likely integrated with Nano Banana Pro) to generate a complete brand identity, starting from a logo and extending to design guidelines, UI, website, exhibition booth, and merchandise. This demonstrates a structured approach to design generation.
A multi-step workflow prompt sequence for Nano Banana Pro, designed to create a cohesive brand identity for a company named 'Lovart'. The steps cover generating the logo, creating design guidelines (color palette, font), and then applying that identity to various assets like application UI, website design, exhibition booth, and merchandise.
A prompt for Nano Banana Pro to generate a futuristic cinematic scene featuring a tech engineer holding an energy core device and projecting a life-size holographic armored exosuit, emphasizing detailed UI, sci-fi concept, and mixed lighting.
A highly technical prompt designed to generate a hyper-realistic, cinematic portrait of a young woman in an urban neon-lit environment at night, featuring a dynamic pose (finger pointing towards the camera) and incorporating a detailed smartphone video recording UI overlay aesthetic.
A prompt designed to generate a luxurious and calm visual representation of a modern SaaS product interface, emphasizing clarity, hierarchy, and a neutral color palette for a premium user experience.
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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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