수직 분할 화면 구성. 왼쪽: 깔끔한 수염과 짙은 머리카락을 가진 잘생긴 남자의 고해상도 전신 사진. 그는 깔끔한 흰색 드레스 셔츠를 네이비 블루 바지에 넣어 입고 갈색 가죽 옥스포드 슈즈를 신고 있다. 깨끗한 회색 벽을 배경으로 포즈를 취하고 있다. 오른쪽: 동일한 남자의 얼굴을 묘사한 미니멀리스트적인 흑백 기하학적 로우 폴리 벡터 일러스트레이션. 일러스트레이션 위에는 굵은 산세리프 텍스트 '{argument name="name" default="BOB"}'가 '{argument name="profession" default="Designer"}'라는 단어 위에 쌓여 있다. 전문적인 브랜딩 미학, 깔끔하고 현대적이다.
제품 마케팅 - 수직 분할 화면 브랜딩 구성
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전문적인 브랜딩에 사용되는 세로 분할 화면 이미지 구성을 만드는 프롬프트입니다. 왼쪽에는 비즈니스 복장을 한 잘생긴 남자의 고해상도 사진이 있고, 오른쪽에는 그의 얼굴을 미니멀하고 흑백 기하학적인 로우 폴리 벡터 일러스트레이션으로 표현하고 그 위에 'BOB Designer'라는 굵은 텍스트가 오버레이되어 있습니다.
A detailed prompt for Nano Banana 2 to create a product photography visualization of wireless earbuds and their charging case, based on an input character image. The composition is a split screen, with the character on the left and the tech product on the right, featuring colors and motifs derived from the character's outfit. Includes specific technical and branding requirements in Japanese.
An extremely detailed, structured JSON prompt for generating hyper-realistic commercial product photography using Gemini Nano Banana. It specifies a vertical split-screen layout featuring two modules: one for a chocolate milkshake with dynamic splashes and floating elements, and the other for a metallic Nescafé can with explosive splashes and moody atmosphere.
A structured prompt for creating a realistic product showcase infographic of the classic Nintendo Game Boy, split into two sections: one showing different perspectives with a Tetris screen integrated, and the other detailing the materials and surface breakdown.
A detailed template prompt for generating a high-fashion editorial typography poster with a strict 1:2 composition split. The prompt defines the layout, requiring a massive vertical word (acting as a stencil mask) on the left third, revealing the subject, and specific text placement and font styles (Helvetica Condensed) for a clean, graphic design aesthetic.
A highly structured JSON prompt for generating practical, eye-catching thumbnails/eyecatch images in the style of a high-end magazine cover. It features a dynamic diagonal split background, a massive masthead, and a high-quality 2D cel-shaded anime girl positioned along the diagonal flow, with text interwoven for a 3D effect. The prompt is designed for a design course advertisement.
Two separate prompts for generating ultra-realistic studio portraits of a man and a woman, both utilizing dramatic split lighting with vibrant cyan blue and magenta pink neon colors. The prompts specify high contrast, sharp focus, and a modern editorial aesthetic.
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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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