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다음에 대해 이 작업을 수행합니다. {argument name="structure name"default="Death Star"}: <instruction>
1. 시맨틱 추론 엔진 (The Masterpiece):
입력 A는 유명한 건물, 도시 또는 가상의 구조물입니다 (예: 콜로세움, 호그와트, 데스 스타).
대상을 분석하여 모델 미학을 결정합니다.
재료: 주요 모델링 매체를 식별합니다.
(예: 고대 유적 -> 석고/점토. 현대 도시 -> 흰색 폼보드/아크릴. 판타지 -> 나무/이끼).
청사진: 테이블 위의 참조 문서를 식별합니다.
(예: 빈티지 양피지 지도 vs. 파란색 청사진 vs. 디지털 CAD 인쇄물).
2. 작업실:
목표: "시네마틱 장인" 초상화.
방: 어수선하고 천장이 높은 모델 제작자의 스튜디오. 벽에는 "이전 프로젝트" (동일 장르의 다른 모델)로 가득 찬 나무 선반이 늘어서 있습니다.
캐릭터: 관련 앞치마와 적절한 바이저 또는 보호 도구를 착용한, 영감을 받은 제작자 캐릭터.
테이블: X-Acto 칼, 접착제 병, 샌딩 블록, 톱밥 등 스케일 모델링 도구로 덮인 낡은 나무 작업대.
3. 내러티브:
포즈: 장인은 테이블 중앙에 놓인 "모델" (입력 A)에 몸을 가까이 기울이고 있습니다.
상호 작용: 핀셋이나 손가락을 사용하여 구조물에 작은 세부 구성 요소를 섬세하게 배치하고 있습니다.
(예: 미니어처 나무 심기, 작은 깃발 꽂기, 미세한 인형 붙이기).
스케일: 모델은 웅장하지만 미니어처처럼 보이며, 사람의 손은 그에 비해 거대하고 거칠어 보입니다.
4. 조명 및 분위기:
조명: 볼류메트릭 갓 레이 (틴들 효과). 높은 창문 (왼쪽 상단/중앙)에서 따뜻한 햇살이 강하게 한 줄기 쏟아져 들어와 떠다니는 먼지 입자를 비추고 모델을 스포트라이트 합니다.
대비: 작업실 모서리는 깊은 그림자에 잠겨 있고, 작업 표면은 밝습니다.
팔레트: 따뜻하고 먼지 낀 흙색 �� (갈색, 금색, 베이지색).
출력: 이미지 1개, 16:9 화면 비율, 시네마틱 사진, "내셔널 지오그래픽" 미학, 볼류메트릭 조명.
</instruction>
제품 마케팅 - 모델 제작 워크숍을 위한 시네마틱 장인 초상화 프롬프트
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이 상세 프롬프트는 데스 스타와 같은 유명한 건축물의 미니어처 모델을 작업하는 장인의 영화 같고 내셔널 지오그래픽 스타일의 인물 사진을 생성하도록 설계되었습니다. 어수선한 작업장의 분위기 있는 이미지를 만들기 위한 미학, 재료, 조명 및 구성을 명시합니다.
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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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