{
"image_recreation_prompt": "르세라핌의 두 K-POP 아이돌 김채원(짧은 일자 검은색 단발머리 및 앞머리)과 미야와키 사쿠라(긴 웨이브진 짙은 갈색 머리)가 왼쪽을 가리키며 미소 짓고 있습니다. 둘 다 노란색 라텍스 T-프론트 보디슈트를 맞춰 입고 있으며, 단색의 터콰이즈 배경 앞에 서 있습니다. 밝고 생동감 있는 스튜디오 조명. --ar 3:4",
"subject": {
"description": "두 명의 젊은 K-POP 아이돌. 아이돌 1 (김채원): 하얀 피부, 앞머리가 있는 짧은 일자 검은색 단발머리, 날렵한 턱선, 날씬한 체형, 미소 짓고 있음. 아이돌 2 (미야와키 사쿠라): 하얀 피부, 긴 웨이브진 짙은 갈색 머리, 뚜렷한 쌍꺼풀, 우아한 얼굴 특징, 날씬한 체형, 미소 짓고 있음."
},
"pose": {
"description": "두 사람 모두 몸을 왼쪽으로 기울이고 왼쪽을 바라보며, 오른손 검지 손가락으로 일제히 왼쪽을 가리키고 있습니다."
},
"outfit": {
"garment": "광택이 나는 노란색 라텍스 T-프론트 보디슈트."
},
"background": {
"description": "단색의 터콰이즈 배경."
},
"color_grading": {
"lighting": "라텍스의 광택을 강조하기 위해 그림자가 거의 없는 밝고 균일한 스튜디오 조명.",
"style": "생동감 있고 고대비의 컬러 블로킹.",
"exact_colors": {
"background_teal": "#00B2B2",
"bodysuit_yellow": "#FFCC00"
}
},
"aspect_ratio": "3:4"
}
소셜 미디어 게시물 - K-pop 아이돌이 가리키는 사진 재현 프롬프트
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두 명의 K-pop 아이돌(르세라핌의 채원과 사쿠라)이 왼쪽을 가리키는 이미지를 재현하기 위해 GeminiApp을 통해 Nano Banana Pro에 전달할 구조화된 JSON 프롬프트입니다. 이 프롬프트는 아이돌의 외모, 포즈, 일치하는 노란색 라텍스 보디슈트, 단색 청록색 배경, 생생한 스튜디오 조명을 상세히 설명하며, 3:4 화면 비율을 지정합니다.
A detailed, structured JSON prompt for generating a photorealistic image of Sydney Sweeney recreating her specific red carpet look from the Madame Web premiere, focusing on precise hair, makeup, and the intricate details of her custom gown and accessories.
A prompt for hyper-realistic food photography of a red velvet cake decorated to recreate a famous painting using edible elements like buttercream brushstrokes, impasto frosting swirls, and gold leaf. It requires the color palette to match the artwork and specifies studio lighting and shallow depth of field.
A detailed prompt for recreating the SZA SOS album cover aesthetic, featuring a subject with specific facial features (requiring a reference image) sitting on a diving board over a vast, textured blue ocean, emphasizing cool blue hour lighting and a cinematic film look.
A highly detailed JSON prompt that functions as an image analysis request, providing extensive metadata and context for a nostalgic vertical photograph. It describes the scene (young boy leaning against a vintage Coca-Cola vending machine), the environment (harsh sunlight, strong shadows), and technical composition details, likely intended to guide the AI in recreating or analyzing the image with high fidelity.
A complex, structured prompt designed for image generation models like Nano Banana Pro, focusing on recreating a specific scene and pose from a reference image while strictly preserving the identity of the subject from a separate face reference image, resulting in an ultra-realistic, high-contrast fashion editorial.
A highly technical, structured prompt for Gemini Nano Banana Pro 3.0, designed to recreate a specific mirror selfie pose while strictly locking all scene parameters (camera angle, distance, mirror geometry, clothing geometry, and pose) and only allowing the replacement of the subject's identity, ensuring ultra-realistic consistency across generations.
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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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