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{argument name="journey mission"default="[JOURNEY / MISSION]"} — {argument name="destination era"default="[DESTINATION / ERA]"}를 위한 탐험 대장의 계획 보드. 왼쪽 섹션: 지형 세부 정보, 표시된 경유지, 주석이 달린 위험 구역, 여백을 따라 이어지는 타임라인이 있는 경로 지도. 중앙 섹션: 완벽한 키트 레이아웃, 모든 장비가 위에서 촬영되어 정리된 줄로 배열되어 있으며, 무게와 기능이 명시되고, 중복이 강조되며, 불필요한 것은 없음. 오른쪽 섹션: 진행 중인 탐험 또는 달성된 목적지, 풍경 속 인물, 설정된 스케일, 거대한 배경에 대비되는 인간 요소. 시각적 스타일은 지도 제작의 정밀함에서 실용적인 재고 목록을 거쳐 장엄한 환경 사진으로 전환됨. 제목 블록에는 "{argument name="expedition name" default="[EXPEDITIONNAME]"} — [ROUTE], [DATE], [OBJECTIVE]"라고 적혀 있음.
인포그래픽 / 교육용 시각 자료 - 원정 계획 보드 인포그래픽 프롬프트
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탐험대장의 계획판을 닮은 인포그래픽 스타일 이미지를 생성하기 위한 프롬프트입니다. 지도, 정리된 장비 목록(키트 배치), 목적지의 장엄한 환경 사진이라는 세 가지 시각적 섹션이 필요하며, 섹션 간에는 시각적 스타일 전환이 있어야 합니다.
A prompt for generating an infographic-style image resembling an expedition leader's planning board. It requires three distinct visual sections: a cartographic map, an organized equipment inventory (kit layout), and an epic environmental photograph of the destination, with a visual style transition between sections.
A complex, multi-section text prompt for generating a detailed, documentary-style visualization of a historical or fictional event (conflict, expedition, or migration) using a cartographer's crisis board aesthetic. It requires a visual transition from calm topography to urgent wartime graphics and melancholic aftermath, suitable for use with Nano Banana Pro and Adobe Firefly.
A complex prompt designed to generate a 2x2 grid of cinematic sci-fi dioramas, where each panel represents a classic book (Lord of the Rings, Dune, 1984, Brave New World) rendered as a topographic relief map with moving mechanical elements. The style is premium, cool-toned, and highly detailed, mimicking a museum exhibit.
An educational, highly structured prompt template designed to generate an isometric tabletop photography image of a 'Commodity Universe' diorama. It instructs the AI to deconstruct a chosen commodity (like coffee or gold) into its core, varieties, and historical transit methods, arranging them in a detailed museum-style display on a polished wooden board.
A concise Nano Banana Pro instruction set for creating technical, hard-edge infographics. The process involves selecting an object, ensuring realistic clarity, and overlaying black, hand-drawn engineering annotations (labels, dimensions, materials, cross-sections, arrows) to achieve an 'Engineering Manual + Exhibition Plaque' texture.
A detailed, structured prompt designed for the Gemini App (Nano Banana Pro) to generate a hyper-realistic, cinematic portrait of a male subject in a rugged outdoor setting. The prompt specifies every visual detail, including the subject's features, clothing, mountain scene, dramatic lighting, and precise camera settings (85mm lens, shallow depth of field) to achieve a high-end professional photography aesthetic.
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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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