스튜디오 배경에서 촬영한 편안하고 고급스러운 패션 인물 사진. 자신감 있고 매력적인 미소를 띠고 얼굴이 보존된 실제 인간 모델이 실제 인간 크기의 사실적인 3D 애니메이션 캐릭터인 {argument name="animated character"default="Puss in Boots"}의 어깨에 자연스럽게 팔을 올리고 있다. 인간 모델은 오트밀 베이지 니트 스웨터, 하이웨이스트 다크 진, 깨끗한 흰색 스니커즈를 착용하고 있다. 매우 사실적인 생강색 털 질감, 표현력이 풍부한 큰 눈, 시그니처 가죽 모자, 부츠, 벨트를 착용한 {argument name="animated character"default="Puss in Boots"}는 세련되고 자신감 있는 자세로 서 있다. 배경은 깨끗하고 따뜻한 회갈색 또는 뉴트럴 스튜디오 배경이다. 부드러운 스튜디오 조명과 은은한 림 라이트가 섬세한 털 질감을 강조하고 피사체들 사이에 자연스러운 조화를 만들어낸다. 3/4 프레이밍, 하이엔드 패션 화보.
제품 마케팅 - 장화 신은 고양이 3D 캐릭터와 함께하는 패션 인물 사진
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실제 인간 모델이 사실적인 3D 애니메이션 캐릭터인 장화 신은 고양이(Puss in Boots)와 상호작용하는 고급 패션 화보 인물 사진을 생성하기 위한 프롬프트입니다. 이 프롬프트는 모델의 얼굴 보존, 의상(니트 스웨터, 어두운 청바지), 장화 신은 고양이의 상세한 렌더링(털 질감, 시그니처 의상), 그리고 부드러운 조명이 있는 깔끔한 스튜디오 환경을 명시합니다.
A complex, multi-step system prompt that instructs the AI to act as an elite book recommendation engine and kinetic sculpture designer. The AI must analyze a user-provided book (or image) for its 'vibe,' select four under-the-radar matching books, and then output a single image generation prompt describing a 2x2 grid of miniature wooden tabletop automatons, each representing one of the recommended books.
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 generating an ultra-realistic 8K full-body portrait of Taylor Swift in professional attire, leaning against a gray studio wall. The unique element is the requirement to add a prominent, sharp vector portrait and text overlay (name and title) directly onto the wall, blending photographic realism with modern graphic design.
A template prompt designed to generate a poster-ready, professionally polished image of a favorite music star, requiring the user to replace the [MUSIC_STAR] placeholder. The full prompt is in the attached image (not provided).
A multi-step prompt designed for Nano Banana Pro to analyze three uploaded random objects, combine their features into a single absurd but patentable invention, and then output a 2x2 grid featuring technical patent drawings, a glossy product render, and a detailed marketing explanation.
A multi-step prompt designed to act as a literary recommendation engine and antique typewriter automaton builder. It instructs the AI to analyze a specified book (1984) and select four obscure, intellectually resonant books, then visualize them in a 2x2 grid featuring vintage typewriters and 3D paper sculptures of symbolic scenes.
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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, 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, 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, Browsing and interaction data, Non-precise location data, Precise location 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, Authentication-derived identifiers, Browsing and interaction data, User-provided 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, User-provided data, Precise location data
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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