■ COMPOSITION_MODE: 구도 및 앵글
FaithfulFraming: 원본 일러스트의 확대 비율과 구도를 '있는 그대로' 유지합니다.
Full-Body: 원본 이미지가 상반신만 있는 경우에도 발끝까지 완성하여 '전신 피규어'로 렌더링합니다.
High-AngleView: 강제로 45도 하이 앵글 '오버헤드(조감도) 뷰'로 전환합니다.
■ ENVIRONMENT_TYPE: 배경 구성
Auto: AI가 원본 이미지를 분석하여 상세한 배경이 있는 경우 '디오라마'를, 단순한 경우 '스튜디오 배경'을 자동으로 선택합니다.
ForceDiorama: 원본 이미지가 흰색 배경이라도 정교한 미니어처 세트(도시 풍경, 자연, 실내 등)를 강제로 구성합니다.
ForceStudio: 모든 배경을 제거하고 깨끗한 사진 배경 또는 아크릴 시트로 대체합니다.
■ ASPECT_RATIO: 화면 비율
Inherit: 원본 이미지와 동일한 비율입니다.
Square: 1:1.SNS 게시물 또는 아이콘 스타일 구성에 적합합니다.
Portrait: 9:16. 스마트폰 배경화면 또는 서 있는 인물을 역동적으로 보여줄 때 적합합니다.
Landscape: 16:9. 넓은 디오라마 세트를 보여줄 때 적합합니다.
■ DISPLAY_BASE: 베이스 선택
SimpleRound: 투명 또는 불투명한 원형 플라스틱 베이스. 가장 일반적인 피규어 외형을 만듭니다.
Decorative: 캐릭터 테마에 맞는 장식(잔해, 마법진, 고급스러운 디자인 등)이 있는 맞춤형 베이스입니다.
DioramaFloor: 베이스 개념을 없애고 피규어를 디오라마 바닥에 직접 배치합니다.
None: 베이스와 지면 디테일을 모두 제외하여 가장 단순한 자립 상태를 만듭니다.
■ DENSITY: 정보 밀도
Standard: 카탈로그 사진처럼 깔끔하고 정돈된 마감입니다.
High: 디오라마 내에 수많은 작은 오브젝트(모형 잔디, 잔해, 미니어처 가구 등)를 추가하여 정보 밀도를 극대화합니다.
■ FIGURE_MATERIAL: 피규어 재질 질감
StandardPVC: 상업용 피규어의 표준적인 플라스틱 느낌입니다. 빛을 부드럽게 확산시킵니다.
PremiumResin: 섬세한 조형과 약간의 투명도가 있는 고급 레진 느낌입니다. 레진 키트와 같은 질감입니다.
GlossyPlastic: 광택이 나는 도색 마감처럼 강한 반사광이 있는 질감입니다.
■ LIGHTING_STYLE: 조명
Natural: 창가에서 촬영한 듯 부드러운 자연광입니다. 일상적인 분위기를 연출합니다.
BrightStudio: 여러 조명을 사용하고 그림자가 최소화되어 디테일이 선명한 광고 사진 스타일입니다.
Cinematic: 강한 대비와 그림자를 통해 이야기 속 한 장면처럼 심오한 분위기를 연출합니다.
게임 에셋 - Nano Banana Pro용 구조화된 피규어/디오라마 생성 프롬프트
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Nano Banana Pro에서 인물이나 디오라마 이미지를 생성하도록 설계된, 고도로 구조화된 프로그래머 방식의 프롬프트입니다. 이 프롬프트는 전역 변수 개념을 사용하며, 구성, 환경, 종횡비, 디스플레이 베이스, 정보 밀도, 인물 재료, 조명 스타일 등 여러 차원에서 사용자 정의를 허용합니다. 목표는 단순한 인물부터 복잡한 디오라마까지 다양한 스타일을 생성할 수 있는 단일 프롬프트를 만드는 것이었습니다.
A complex, multi-part prompt template for generating hyper-detailed, playable diorama chessboards where the board and pieces are constructed entirely from miniature architectural components (e.g., Cyberpunk Neon City or Gothic Cathedrals). It uses anchors and morphology sections to enforce the structural engineering and material physics of the chosen theme.
A highly structured, procedural prompt template designed to generate random or customized whimsical floating miniature dioramas in a specified punk style (defaulting to Steampunk), utilizing multiple procedural generation layers for scene, props, architecture, and lighting.
A highly structured, variable-based prompt template for generating a detailed miniature diorama of a fantasy RPG underground undead dungeon, housed within an ornate cupboard. The prompt specifies materials, art style, lighting, and scene descriptions for three separate shelves, emphasizing high density and detail.
A complex, structured master prompt for generating an ultra-realistic miniature diorama inside an ornate box, using an auto-theming system. The box itself forms the architecture of a Marble Mughal Hall Interior, detailing structural integration, material style, lighting, and miniature realism.
This is a highly detailed structured prompt designed to transform a provided reference image into a clean, collectible-scale miniature diorama. It specifies precise rules for composition, object placement, lighting (soft studio light), and material aesthetics, ensuring the miniature faithfully preserves the original scene's spatial relationships.
A highly detailed, structured prompt template (AUTO-THEME MASTER PROMPT) for generating an ultra-realistic miniature diorama inside an ornate box, specifically themed as a Cyberpunk pub. The prompt dictates architectural integration, material style, lighting, and extreme macro detail.
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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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