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테이텀은 시계를 보며 정신없이 서두르고 있습니다. 시내 지하 창고에서 열리는 레이브 파티에 벌써 {argument name="minutes late"default="30 minutes"} 늦었습니다. 친구들에게서 전화가 빗발치지만, 마지막 손질에 애를 먹고 있습니다. 바로 반사성 고장력 비닐 코르셋입니다. 그녀는 지퍼가 버텨줄지 확인하기 위해 복도에서 긴장된 표정으로 거울 셀카를 급하게 찍습니다. 그 사진에는 급박함, 스트레스로 인한 땀으로 번들거리는 피부, 그리고 압박감 속에서 최고의 화려함을 연출하려는 순전한 혼돈이 담겨 있습니다. 그녀는 웃고 있지 않습니다. 휴대폰 화면의 미리 보기에 온전히 집중하고 있습니다.
프로필 / 아바타 - 레이브 전 긴장된 거울 셀카 프롬프트
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긴장감 넘치는 화려함의 순간에 초점을 맞춘 서술형 프롬프트: Tatum이라는 여성이 지하 레이브에 늦지 않기 위해 반사되는 비닐 코르셋의 지퍼를 올리려 애쓰며 복도에서 정신없이 거울 셀카를 찍고 있다. 이 프롬프트는 포즈를 취한 미소보다는 땀 흘리는 피부, 혼돈, 강렬한 집중을 강조한다.
A narrative prompt for Nano Banana Pro describing a character named Sloane taking a crucial full-length mirror selfie in a chrome bralette and micro shorts before rushing to an underground warehouse rave, focusing on the holographic material's reflection under flash.
A sophisticated system prompt designed for Nano Banana Pro to create high Click-Through Rate (CTR) thumbnails based on principles of cognitive science (neuroscience, psychology, behavioral economics). It instructs the AI to adopt the persona of an expert art director, analyze input text, and follow a detailed thinking process (Thinking Mode) before drawing, focusing on facial activation, pop-out effects, and minimizing cognitive load. It includes specific design and typography instructions.
A sophisticated system prompt designed for Nano Banana Pro to create high Click-Through Rate (CTR) thumbnails based on principles of cognitive science (neuroscience, psychology, behavioral economics). It instructs the AI to adopt the persona of an expert art director, analyze input text, and follow a detailed thinking process (Thinking Mode) before drawing, focusing on facial activation, pop-out effects, and minimizing cognitive load. It includes specific design and typography instructions.
A complex, structured prompt for Nano Banana Pro or Seedream 4.5 to generate a split-screen VFX comparison image. The left side shows the photorealistic 'finished shot' based on a theme, and the right side shows the 'green screen shooting' setup with the exact same subject and pose, mimicking the look of early 2000s Japanese film VFX before-and-afters.
A creative prompt designed to generate a 2x2 grid collage showing the events that transpired 5, 3, 2, and 1 hour before the scene depicted in an uploaded reference image, useful for visual storytelling and context generation.
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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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