Ai
[
{
"name": "Ana de Armas",
"description": "아나 데 아르마스(Ana de Armas)의 매우 섬세하고 스타일리시한 영화 같은 초상화로, 전문 스튜디오 조명으로 우울한 심야 주방 분위기를 포착했습니다. 그녀의 어두운 머리카락은 자연스럽게 흐트러진 번으로 묶여 있고, 세련된 흰색 오버이어 Beats 헤드폰과 얇은 스파게티 스트랩이 달린 짙은 남색 골지 캐미솔을 입고 있습니다. 생각에 잠긴 표정으로 어두운 조리대에 기대어 담배를 입에 물고 있으며, 희미한 연기가 어둑한 공기 속으로 피어���릅니다. 장면은 바로 앞쪽에 있는 가스레인지 버너의 날카롭고 전기적인 푸른빛으로 극적으로 밝혀져 있으며, 이는 빈티지한 녹색-흰색 체크무늬 타일 백스플래시와 흰색 캐비닛과 아름다운 대조를 이룹니다."
},
{
"name": "Sydney Sweeney",
"description": "시드니 스위니(Sydney Sweeney)가 고급스러운 분위기의 소박한 나무 주방 조리대에 기대어 있는 전문적으로 구성된 고화질 사진입니다. 그녀는 진한 적갈색 탱크톱과 짙은 남색 반바지를 입고 있으며, 목에는 흰색 헤드폰을 걸고 있습니다. 아래를 응시하는 시선과 손가락 사이에 섬세하게 들고 있는 담배로 인해 분위기는 무겁고 사색적입니다. 가스레인지에서 나오는 생생하고 원형의 푸른 불꽃이 하단 프레임을 지배하며, 주방의 따뜻한 나무 질감에 현대적인 하이라이트를 드리우고, 흰색 전기 주전자와 주방 도구들은 부드러운 초점의 배경으로 흐려집니다."
},
{
"name": "Sabrina Carpenter",
"description": "사브리나 카펜터(Sabrina Carpenter)의 시그니처 금발 머리와 부드러운 커튼뱅이 돋보이는 미학적이고 영화 같은 장면으로, 고급 주방 환경에서 촬영되었습니다. 그녀는 크고 미니멀한 흰색 오버이어 헤드폰과 버건디 스파게티 스트랩 상의를 입고 주방 작업 공간에 기대어 있습니다. 그녀의 손에 들린 담배에서 피어오르는 연기가 구성에 깊이와 분위기를 더합니다. 조명은 능숙하게 균형을 이루고 있으며, 전경에 있는 켜진 가스 버너의 강렬한 푸른빛을 중심으로 하고, 흰색 캐비닛과 주방 필수품 같은 배경 요소들은 전문적이고 부드러운 초점 흐림으로 처리되었습니다."
},
{
"name": "Sadie Sink",
"description": "새디 싱크(Sadie Sink)의 섬세하고 고대비 초상화로, 프리미엄 조명 효과와 함께 현대적이고 영화 같은 주방 분위기를 보여줍니다. 그녀의 붉은 갈색 머리는 번으로 묶여 있고, 흰색 오버이어 헤드폰과 섬세한 흰색 꽃무늬가 있는 녹색 반바지와 짝을 이룬 심플한 검은색 탱크톱으로 보완됩니다. 그녀는 주근깨 있는 팔을 나무 조리대에 기대고, 조용하고 우울한 고립의 순간에 담배를 입 가까이에 들고 있습니다. 장면은 바로 앞쪽에 있는 켜진 가스레인지의 밝고 네온 블루 빛으로 정의되며, 이는 어둑한 주방 내부와 배경의 깨끗한 흰색 캐비닛과 놀라운 시각적 대조를 이룹니다."
}
]
소셜 미디어 게시물 - 네온 가스레인지 불빛이 비치는 주방에서의 분위기 있는 영화 같은 인물 사진 (4.4)
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늦은 밤 주방을 배경으로, 불붙은 가스레인지 버너의 일렉트릭 블루 불빛이 극적으로 비추는 가운데, 유명인(아나 데 아르마스, 시드니 스위니, 사브리나 카펜터, 세이디 싱)의 독특하고 사실적인 시네마틱 인물 사진 네 장을 생성하는 다중 파트 프롬프트.
A prompt designed to generate an ultra-photorealistic, late-night iPhone candid shot of an Asian woman in a kitchen, illuminated by the fridge light. The prompt uses detailed metadata for camera settings, lighting, and specific character features to achieve a realistic, handheld aesthetic.
A highly detailed JSON prompt for Nano Banana to generate a 1970s retro-aesthetic kitchen scene featuring a K-Pop idol (Sadie Sink, Millie Bobby Brown, Emma Myers, or Bethany). It requires using a biometric reference image for facial structure, specifies a playful pose (sitting on the counter, winking), and meticulously details the wardrobe (burgundy and white romper, Mary Jane heels) and environment (checkered backsplash, vintage props, soft-box studio lighting).
A highly specific and constrained prompt for generating a candid photograph of two women in a modern kitchen, emphasizing extremely exaggerated hourglass figures (tiny waists, massive busts, and glutes) highlighted by tight crop tops and skimpy bikini bottoms.
A detailed JSON prompt for Nano Banana 2, generating an ultra-realistic cinematic fashion photograph of Sydney Sweeney in a luxury modern kitchen. The prompt specifies her pose, wardrobe (black satin mini slip dress), lighting (warm under-cabinet lights), and camera settings (50mm portrait lens, 8K quality) to achieve a hyper-realistic editorial look.
A JSON prompt for generating a candid, rear-view shot of a woman cooking in a modern white kitchen. The prompt focuses on domestic comfort, specifying the outfit (cream lounge set), environment (subway tiles, built-in appliances), and lighting (cool LED strip lighting mixed with ambient light).
A detailed JSON prompt for generating an intimate, candid documentary-style photo of a couple embracing in a cozy home kitchen, emphasizing warm tungsten lighting, 35mm film aesthetics, and natural, unposed body language.
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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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