Un selfie miroir ultra-réaliste et de haute qualité, pris dans un centre de fitness moderne et luxueux. La composition montre deux jeunes femmes posant ensemble, exhibant leur physique athlétique de dos. À gauche, un personnage à l'effigie de Sydney Sweeney, avec ses cheveux blonds emblématiques attachés en une queue de cheval haute et désordonnée, vêtue d'un crop top athlétique moulant à manches longues vert émeraude vif. À droite, un personnage à l'effigie de Natalia Dyer (Nancy), avec des cheveux bruns ondulés tirés en arrière, vêtue d'un soutien-gorge de sport dos nageur jaune citron doux. Les deux femmes portent des leggings sans couture taille haute froncés rose bubblegum identiques qui mettent en valeur leur silhouette, associés à des chaussettes de sport blanches impeccables. L'arrière-plan est rempli d'équipements de gym professionnels, y compris une rangée de tapis de course et des stations de musculation. L'atmosphère est cinématographique, avec des tuyaux de plafond de style industriel et un éclairage ambiant néon bleu et violet vibrant. Prise en résolution 8k, capturant les textures de peau et les détails réalistes des tissus.
Marketing produit - Selfie miroir de deux célébrités dans une salle de sport de luxe
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Un prompt ultra-réaliste et de haute qualité pour générer un selfie miroir mettant en scène des personnages ressemblant à Sydney Sweeney et Natalia Dyer (Nancy) portant des tenues de sport assorties dans un centre de fitness moderne et luxueux. Le prompt met l'accent sur des détails vestimentaires spécifiques, un éclairage cinématographique et une résolution 8K pour une capture de texture réaliste.
A complex, highly detailed JSON prompt for an ultra-photorealistic image featuring two subjects resembling Dua Lipa and Sydney Sweeney in skin-tight black latex catsuits, executing a sophisticated mirror selfie pose in a luxury dressing room, with specific biometric and material science details, and a focus on reflection integrity.
A dual prompt set (image and video) for generating a realistic mirror selfie scene in a luxury walk-in closet. The image prompt details the subject, attire, accessories (including a specific celebrity photo in the phone case), and environment. The video prompt focuses on subtle, realistic motion for a cinematic animation.
A highly structured JSON prompt for Gemini Nano Banana Pro 3.0 to generate an ultra-HD image of two women (resembling Sydney Sweeney and Sabrina Carpenter) posing in high-end athleisure wear within a commercial gym setting, featuring specific lighting (neon purple ambient glow) and mirror reflections.
A highly technical and constrained prompt for generating a raw, high-contrast, ultra-wide-angle mirror selfie featuring two celebrities (Sydney Sweeney and Billie Eilish) in matching bikinis, emphasizing strict identity preservation, realistic skin physics, sharp focus throughout the scene, and high-contrast aesthetic tan lines.
A structured JSON prompt for generating a high-resolution, photorealistic celebrity portrait (based on Sadie Sink). It details the subject's appearance, vibrant auburn hair, and attire: an ethereal blush tulle gown with intricate silver metallic embroidery and a plunging neckline. The environment is a studio with a dark slate grey geometric wall, lit by soft, diffused lighting.
A structured prompt defining multiple scenarios for generating images of Sydney Sweeney, Megan Fox, and Ana de Armas engaging in various gym activities (yoga, weight training, cardio) with specific outfit styles, colors, and vibes for each scenario.
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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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