업로드된 사진을 사용하여 얼굴 구조나 표정의 변화 없이 완벽하게 정확한 초현실적인 인물 사진을 만들어 주세요.
저는 현대적인 스튜디오에 서서 수직으로 배열된 "{argument name="year text" default="2026"}" 텍스트의 크고 흰색 조형물에 무심하게 기대고 있습니다. 각 글자는 높은 건축학적 토템처럼 위로 쌓여 있습니다. 조형물은 저와 같은 높이여서 구도가 균형 잡히고 강렬하게 느껴집니다. 저는 수직 "{argument name="year text" default="2026"}" 구조물에 한쪽 어깨를 가볍게 기대고 있습니다.
몸은 약간 옆을 향하고 있으며, 체중의 대부분은 한쪽 다리에 실려 편안하고 자신감 있는 자세를 취하고 있습니다. 양손은 카고 포켓 안에 편안하게 놓여 있습니다. 카메라를 향해 침착하게 바라보며 머리를 약간 기울이고 있습니다.
오버사이즈 NIKEWHITE 티셔츠를 입고 있습니다. 검은색 오버사이즈 카고 팬츠와 눈에 띄는 신발 끈과 뚜렷한 밑창이 있는 깨끗한 흰색 NIKEAIRFORCE 스니커즈를 매치했습니다. 검은색 그라데이션 선글라스도 착용하고 있습니다.
낮은 각도에서 촬영하여 존재감을 높이고, 제 옆에 있는 수직 "{argument name="year text" default="2026"}" 조형물이 대담하고 건축학적으로 느껴지도록 했습니다.
조명은 제어되고 지향성이 있어 조형물에 부드러운 그림자를 만들고 제 얼굴과 의상에 미묘한 하이라이트를 줍니다. 배경은 깨끗한 짙은 회색 스튜디오 배경에 선명한 흰색 디테일이 있습니다.
카메라 룩은 영화 같은 깊이, 부드러운 압축, 자연스러운 비율을 위해 85mm 인물 사진 렌즈와 일치합니다.
최종 분위기는 현대적이고 편집적이며 자신감 넘치며, 스트리트웨어의 존재감과 건축 디자인이 조화를 이룬 인상적인 ���우 앵글 인물 사진입니다.
제품 마케팅 - 건축물 텍스트가 있는 로우 앵글 스트리트웨어 인물 사진
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스트리트웨어(오버사이즈 Nike 티셔츠, 카고 팬츠, Air Force 스니커즈)를 입은 사람이 '2026'이라는 텍스트로 된 크고 수직적인 흰색 조형물에 기대어 있는 초현실적인 로우 앵글 인물 사진을 생성하기 위한 프롬프트. 이 프롬프트는 피사체의 얼굴, 시네마틱 깊이(85mm 렌즈), 패션과 건축 디자인이 조화된 자신감 있고 편집적인 분위기를 보존하는 것을 강조합니다.
A prompt for generating an ultra-realistic, cinematic 8k shot of a romantic couple in matching streetwear. The prompt specifies their attire (white and yellow color-block hoodies, black cargo pants, white sneakers, yellow-tinted sunglasses) and the setting (clean, modern studio with abstract geometric structures), aiming for a high-fashion photography style with a confident vibe.
A highly detailed JSON prompt for generating an ultra-photorealistic, high-fashion editorial portrait of a young woman in an oversized bubblegum pink tracksuit, squatting in a gritty industrial alleyway, focusing on realistic fabric physics, detailed accessories, and soft, monochromatic lighting.
A detailed prompt for generating a high-end streetwear fashion campaign image featuring a male model next to a Mercedes G Wagon. The style emphasizes Gorpcore fashion, ultra-wide lens distortion, harsh flash lighting, and a grainy, cinematic film texture inspired by experimental photography.
A detailed prompt for generating an ultra-realistic cinematic video of a woman in street fashion walking across a city crosswalk, emphasizing moody lighting, motion blur, and an editorial Vogue style.
A structured prompt for generating an ultra-realistic cinematic fashion portrait of a young man in streetwear, utilizing dramatic neon lighting in an urban tunnel setting to create a strong teal and orange color grade and intense contrast.
A highly detailed JSON prompt for generating a sophisticated men's street style editorial photograph, specifying composition, color profile (neutral, high contrast), natural window lighting, and detailed subject analysis of a male model mid-stride.
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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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