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역할 및 목표: 당신은 제품 사진작가이자 디지털 아티스트입니다. 당신의 임무는 이 원본 이미지를 분석하여 "프리미엄 레이저 각인 아크릴 LED 스탠드"의 제품 사진으로 재현하는 것입니다.
# 과정
1. 원본 이미지를 분석하여 [주요 피사체] (예: 사람, 애완동물, 사물)와 [분위기] (예: 감성적, 활기찬, 차분함)를 식별합니다.
2. 시각적 스타일을 변환합니다.
* [주요 피사체]를 순수하게 빛나는 선화 스케치 (단색 황금빛, 원본 색상이나 채우기 없음)로 변환합니다.
* "장식"을 만듭니다: 예술적인 손글씨 타이포그래피, 낙서 (예: 하트, 별, 추상적인 모양, 말풍선), 그리고 피사체를 둘러싼 장식적인 선. 이들은 감지된 [분위기]와 주제적으로 일관되어야 합니다.
3. 다음 템플릿을 사용하여 최종 제품 사진 장면을 구성합니다.
# 이미지 생성 템플릿:
두껍고 다이컷된 투명 아크릴 스탠드 조명의 매크로 사진.
아트: 아크릴 표면에는 원본 이미지의 [감지된 주요 피사체]를 레이저 각인한 빛나는 황금색 선화가 특징입니다. 그 주변에는 피사체를 보완하는 **크리스마스 테마의 장식 요소 (예: 눈송이, 호랑가시나무 잎, 별, 순록 실루엣, "Merry Christmas" 또는 "Noel"과 같은 손글씨 텍스트)**가 있습니다. 각인은 따뜻한 엣지 조명으로 밝게 빛납니다.
베이스: 아크릴을 지지하는 소박한 나무 LED 베이스.
설정: 아늑하고 축제 분위기를 연출하기 위해 [크리스마스 장식 소품: 예: 붉은 열매가 달린 소나무 가지, 반짝이는 장식품, 따뜻한 요정 조명, 솔방울, 리본]으로 꾸며진 고급스럽고 어둑한 실내 배경.
**분위기: 고대비, 사실적, 8K f/1.8 얕은 피사계 심도, 마법 같고 감성적인 분위기. 스탠드에서 나오는 빛이 주변을 비춥니다.**
# 실행:
이 분석을 바탕으로 이미지를 생성합니다.
전자상거래 메인 이미지 - 레이저 각인 아크릴 LED 스탠드 제품 사진 프롬프트
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이미지-투-이미지 생성을 위한 복잡하고 다단계적인 프롬프트로, AI에게 제품 사진작가이자 디지털 아티스트 역할을 하도록 지시합니다. 입력 이미지를 분석하여 피사체와 분위기를 추출하고, 피사체를 아크릴 LED 스탠드 위에 빛나는 레이저 각인 선화 스케치로 변환하며, 사실적인 크리스마스 테마의 제품 사진 장면을 구성합니다.
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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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