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{
"image_prompt": {
"type": "초현실적인 인도네시아 전통 음식 인포그래픽 포스터",
"layout_and_composition": {
"orientation": "세로 구성",
"style": "현대적인 요리 인포그래픽 디자인, 편집 레이아웃",
"background": "극적이지만 깔끔한 배경"
},
"typography_elements": {
"headline": {
"position": "상단",
"style": "요리 이름과 원산지(ASAL)를 보여주는 굵은 글씨"
},
"labels": {
"style": "깔끔한 인도네시아 타이포그래피",
"connectors": "재료를 가리키는 곡선 라벨 화살표"
}
},
"visual_content": {
"main_action": "공중에 떠 있는 영화 같은 재료들",
"details": [
"윤기 나는 카레 스플래시",
"신선한 허브",
"향신료",
"그릇에서 피어오르는 김"
],
"textures": "매우 섬세하고 윤기 있으며 먹음직스러운"
},
"lighting_and_atmosphere": {
"lighting_style": "풍부한 황금빛 조명, 스튜디오 조명",
"mood": "전문적이고 먹음직스러우며 고급스러운"
},
"technical_specs": {
"quality": "8K 초현실적, DSLR 품질",
"focus": "얕은 피사계 심도",
"style": "전문적인 음식 사진"
}
}
}
인포그래픽 / 교육용 시각 자료 - 인도네시아 음식 정보 그래픽 프롬프트 구성
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인도네시아 전통 음식의 극사실적인 인포그래픽 포스터를 생성하기 위한 고도로 구조화된 JSON 프롬프트 템플릿입니다. 레이아웃, 타이포그래피(인도네시아어 텍스트 사용), 시각적 콘텐츠(떠다니는 재료, 윤기 나는 카레 스플래시), 그리고 고급 음식 사진 촬영을 위한 기술 사양을 세심하게 정의합니다.
A structured JSON prompt for generating a hyper-realistic food infographic image of an Indonesian dish, featuring levitating ingredients (meat, tofu, herbs) above a bowl, emphasizing cinematic studio lighting and editorial layout.
A structured JSON prompt for generating an ultra-realistic culinary infographic in the style of high-end editorial food photography. It features a traditional Indonesian dish with levitating ingredients (meat, tofu, spices) suspended in motion, set against a rustic wooden tabletop with clean Indonesian-language annotations.
A detailed prompt for generating a hyper-realistic, cinematic food infographic poster featuring Indonesian cuisine. It specifies a vertical composition, bold typography for the dish name and origin, and dramatic lighting with levitating, ultra-detailed ingredients like glossy sauces and charred meat.
A prompt for generating an 8K, ultra-realistic cinematic food photograph suitable for commercial advertising. It features a traditional Indonesian dish with its key ingredients floating above it in a clean, infographic-style vertical layout, connected by minimalist pointer lines. The image emphasizes hyper-detailed food surfaces, glossy sauces, and high-speed splash effects frozen in motion.
A highly structured, detailed JSON prompt designed for the Gemini Nano Banana Pro model to generate a hyper-realistic infographic of an Arabic-themed dish. It specifies the environment, lighting, visual composition, dynamic elements like levitating ingredients, and graphic design annotations in Indonesian, aiming for a high-fidelity, cinematic macro photograph look.
A prompt for generating a six-image documentary-style series of an Indonesian president, shown in office, in rice fields, and partying with other leaders.
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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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