Un collage photo vertical de qualité mobile composé de trois panneaux : une vue panoramique en haut, un portrait au milieu et un détail macro en bas. Les images suivent l'esthétique « photo dump » style VSCO avec un étalonnage des couleurs vibrant et chaleureux typique des concerts, capturé avec une simulation d'iPhone 17ProMax utilisant divers objectifs (ultra grand-angle, grand-angle, téléobjectif) à une ouverture de f/1.8. L'éclairage provient de sources dynamiques de concert, notamment des stroboscopes et la lueur des téléphones, créant des reflets scintillants sur la peau et des ombres contrastées. La scène se déroule dans une immense salle de concert la nuit, avec accès à la fosse et vue sur la scène, incluant un mur vidéo et la silhouette des mains de la foule. Le sujet est une influenceuse nordique athlétique de 21 ans, blonde aux yeux bleus, portant un Wonderbra noir et un string en V avec des talons hauts noirs. Sa peau présente un éclat hâlé avec une diffusion sous-cutanée visible due à la chaleur de la scène, et elle possède des détails biologiques réalistes comme un léger duvet sur les joues et une iris détaillée. Le panneau central la montre en train de faire un clin d'œil avec un signe de paix devant un œil, tandis que le panneau inférieur la capture en train de marcher en talons. La composition utilise une perspective à la première personne avec la règle des tiers dans chaque panneau et un équilibre asymétrique. La couleur est sélectivement accentuée sur les confettis avec des touches de magenta et de cyan. L'effet global doit évoquer une authentique soirée de concert, en évitant l'éclairage de studio, le grain de film vintage ou les rendus trop lisses.
Publication sur les réseaux sociaux - Collage de photos de concert façon iPhone Photo Dump
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Un prompt JSON extrêmement détaillé pour Nano Banana Pro afin de générer un collage vertical multi-panneaux simulant un « Photo Dump style VSCO » lors d'un concert, incluant des réglages d'appareil photo spécifiques (simulation d'iPhone 17 Pro Max), des effets de lumière (stroboscopes, halo d'objectif) et des descriptions anatomiques et de maquillage précises pour le sujet.
A highly specific prompt designed to generate an ultra-photorealistic image of Madelyn Cline hydrating after a tennis match. It focuses on post-workout realism, including perspiration, damp clothing clinging to the body, golden hour lighting, and a candid, confident pose, shot on an iPhone 15 Pro Max in a vertical 9:16 format.
A complex JSON prompt designed to generate a 2x2 grid collage of ultra-wide angle selfies in the style of a Gen Z candid social media dump, featuring a subject resembling Sydney Sweeney. The prompt meticulously details the image structure, global style settings (0.5x lens, high-angle distortion, chaotic fairy aesthetic), subject details (outfit, makeup, accessories), and specific expressions and poses for each of the four panels (tongue out, duck face, winking).
A highly detailed JSON prompt for Nano Banana Pro to generate a 2x2 grid collage of Sydney Sweeney selfies using an ultra-wide angle lens (0.5x / fisheye effect), capturing a Gen Z candid social media dump aesthetic with specific expressions and a lime green sequin dress.
A highly technical prompt for Gemini Nano Banana Pro designed to simulate a raw, high-contrast gym mirror selfie taken with an ultra-wide-angle iPhone 17 Pro lens. It mandates extreme bio-fidelity, sharp focus across all planes (no bokeh), aggressive anatomical tapering, and realistic textural details on clothing and skin, aiming for an unedited social media dump aesthetic.
A highly detailed image generation prompt designed to create an extremely realistic, raw, high-contrast mirror selfie. It specifies strict identity locking, bio-fidelity for skin textures (TrueLens physics), precise outfit material realism (vacuum-tight jersey knit), and environmental details like realistic mirror imperfections and a sharp background, aiming for an unedited social media dump aesthetic.
Generate a 9-image grid ‘photo dump’ of a person’s weekend including mirror selfie, café, friends at dinner, party, walking, work shot, pet, sunset, and candid laughing moments.
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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, 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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