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Sign in to save "Infographie / Visuel éducatif - Photographie culinaire architecturale : invite de coupe transversale" to your library and access it anytime.
Coupe transversale cinématographique parfaite à travers {argument name="dish"default="[PLAT]"}, tranchée nettement au centre, révélant chaque couche interne en détail. La face coupée est orientée directement vers la caméra, comme un diagramme géologique de saveurs. Chaque couche visible est étiquetée avec une fine ligne horizontale s'étendant vers la droite — en majuscules sans-serif "{argument name="ingredient name" default="[NOM DE L'INGRÉDIENT]}"}" avec un descripteur en italique en dessous. Arrière-plan : mat uni {argument name="color"default="[COULEUR]"}. Éclairage : lumière latérale dramatique venant de la gauche projetant de longues ombres, un seul projecteur chaud sur la face coupée. Chaque texture est hyperréaliste — humidité visible, poches d'air, carbonisation, glaçage et vapeur. Ambiance : photographie culinaire architecturale rencontre illustration scientifique. Nom du plat "[NOM DU PLAT]" en grands caractères élégants en haut. Sous-titre : "[SLOGAN]". 4K, netteté impeccable, Référence de style : la symétrie de Wes Anderson rencontre la cuisine étoilée au Michelin.
Infographie / Visuel éducatif - Photographie culinaire architecturale : invite de coupe transversale
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Une invite structurée conçue pour Adobe Firefly utilisant Nano Banana Pro afin de créer une coupe transversale hyperréaliste et cinématographique d'un plat. Elle utilise un style d'illustration scientifique avec des couches étiquetées, un éclairage dramatique et une esthétique Wes Anderson.
A highly conceptual prompt designed to visualize a layered dish as an architectural model or technical blueprint. It requires the dish to be cut in cross-section, with layers labeled by acrylic rods, and includes elements like miniature construction workers and material specifications, rendered in a technical drawing aesthetic.
A highly specific prompt for generating a hyperreal, architectural food photograph of a tiramisu cross-section, detailing visible layers, textures, lighting (dramatic left side lighting), and labeling the ingredients like a scientific illustration, inspired by Wes Anderson aesthetics.
A template prompt for generating an expert architectural illustrator's presentation board. It defines the layout flow (2D drawings on the left, elevations/cross-section in the center, 3D render on the right), allowing customization of the architectural style, key elements, linework style, texture, and color palette.
A detailed image generation prompt for creating a perfect cinematic cross-section cut of a dish, revealing internal layers with scientific illustration style, dramatic lighting, and specific labeling for ingredients, inspired by Wes Anderson's symmetry.
A prompt template for generating a vintage patent-style technical illustration of an object. It specifies black ink linework, sepia accents, hand-lettered labels, cross-section views, and an official patent border on aged cream parchment paper, aiming for the aesthetic of 1890s mechanical engineering drawings.
A powerful, universal prompt designed to generate detailed 3D anatomical cross-sections of any creature, including automatic bone/organ systems and numbered medical annotations. This prompt is suitable for visualizing the internal structure of subjects ranging from Pikachu to Godzilla.
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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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