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Photographie hyperréaliste de nourriture, gâteau en velours rouge décoré pour recréer le célèbre tableau ({argument name="painting name"default="PAINTING"}) avec des coups de pinceau en crème au beurre, des motifs épais à la poche à douille, des tourbillons de glaçage en impasto, des touches de feuille d'or comestible, une palette de couleurs assortie à l'œuvre d'art, de petits détails peints en pâte à sucre, gâteau sur une assiette élégante, arrière-plan inspiré du même tableau, éclairage de studio avec des ombres douces, faible profondeur de champ, ultra détaillé, publicité de pâtisserie haut de gamme, pas de texte, pas de filigrane, 8k, 1:1
Publication sur les réseaux sociaux - Recréation de tableau de gâteau Red Velvet – Invite de photographie culinaire
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Une invite pour une photographie culinaire hyperréaliste d'un gâteau red velvet décoré pour recréer un tableau célèbre en utilisant des éléments comestibles tels que des coups de pinceau en crème au beurre, des tourbillons de glaçage en impasto et des feuilles d'or. Elle exige que la palette de couleurs corresponde à l'œuvre d'art et spécifie un éclairage de studio et une faible profondeur de champ.
A detailed, structured JSON prompt for generating a photorealistic image of Sydney Sweeney recreating her specific red carpet look from the Madame Web premiere, focusing on precise hair, makeup, and the intricate details of her custom gown and accessories.
A structured JSON prompt for Nano Banana Pro via GeminiApp to recreate an image of two K-pop idols (Chaewon and Sakura from LE SSERAFIM) pointing to the left. The prompt details their appearance, pose, matching yellow latex bodysuits, solid turquoise background, and vibrant studio lighting, specifying a 3:4 aspect ratio.
A detailed prompt for recreating the SZA SOS album cover aesthetic, featuring a subject with specific facial features (requiring a reference image) sitting on a diving board over a vast, textured blue ocean, emphasizing cool blue hour lighting and a cinematic film look.
A highly detailed JSON prompt that functions as an image analysis request, providing extensive metadata and context for a nostalgic vertical photograph. It describes the scene (young boy leaning against a vintage Coca-Cola vending machine), the environment (harsh sunlight, strong shadows), and technical composition details, likely intended to guide the AI in recreating or analyzing the image with high fidelity.
A complex, structured prompt designed for image generation models like Nano Banana Pro, focusing on recreating a specific scene and pose from a reference image while strictly preserving the identity of the subject from a separate face reference image, resulting in an ultra-realistic, high-contrast fashion editorial.
A highly technical, structured prompt for Gemini Nano Banana Pro 3.0, designed to recreate a specific mirror selfie pose while strictly locking all scene parameters (camera angle, distance, mirror geometry, clothing geometry, and pose) and only allowing the replacement of the subject's identity, ensuring ultra-realistic consistency across generations.
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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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