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Veuillez concevoir une affiche 3D de haute qualité pour le film/roman « {argument name="name"default="Nom à ajouter" } », nécessitant au préalable la récupération d'informations sur le film/roman et des extraits de scènes célèbres.
Tout d'abord, utilisez votre base de connaissances pour récupérer le contenu de ce film/roman et trouver la scène célèbre ou le lieu central le plus représentatif. Au centre de l'image, construisez cette scène comme un modèle miniature 3D isométrique exquis. Le style doit adopter le rendu délicat et doux de l'animation Dreamworks. Vous devez restaurer les détails architecturaux, la dynamique des personnages et l'atmosphère environnementale de l'époque ; qu'il s'agisse d'une tempête ou d'un après-midi tranquille, cela doit se fondre naturellement dans l'éclairage et les ombres du modèle.
Concernant l'arrière-plan, n'utilisez pas une simple base blanche pure. Veuillez créer un environnement vide autour du modèle avec de légers fondus à l'encre de Chine et une brume lumineuse fluide, avec des tons de couleurs élégants, rendant l'image respirante et profonde, soulignant la préciosité du modèle central.
Enfin, pour la mise en page en bas, générez du texte chinois. Centrez le nom du roman, avec un design de police qui correspond au style de l'œuvre originale. Sous le titre, récupérez et disposez automatiquement une description ou une ligne classique de l'œuvre originale liée à cette scène, en utilisant une élégante police à empattements. La mise en page globale doit être délicatement équilibrée, comme une plaque de collection de musée haut de gamme.
Affiche Diorama 3D pour scènes de film/roman
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Une invite complexe conçue pour générer une affiche de diorama isométrique 3D de haute qualité pour un film ou un roman spécifié. Elle demande à l'IA de rechercher d'abord le matériel source, de construire un modèle miniature détaillé d'une scène représentative dans un style proche de Dreamworks, d'utiliser un fond subtil à l'encre de Chine, et d'inclure du texte chinois pour le titre et une citation classique en bas, imitant une plaque de musée.
The user shares the prompt used to create a stunning 3D diorama poster for the novel 'Lord of the Mysteries'. The prompt is identical to the one in tweet 1998355915456790916, focusing on visual research, Dreamworks-style rendering, ink-wash background, and museum-plaque typography.
An adaptation of the 3D diorama poster prompt, specifically tailored for generating museum-grade posters of real historical events or significant moments (e.g., SpaceX landing, Messi winning the World Cup). It requires the AI to research the event, capture the atmosphere and details, and present the result with a sophisticated layout and relevant historical text.
A prompt for generating a photorealistic image of a 3D miniature version of New York City emerging from a street-style map placed on a dark tabletop. It specifies key landmarks, neon elements, vehicles, and technical details like studio soft lighting and aspect ratio, creating an urban diorama effect.
A detailed prompt template for Nano Banana 2 to generate a photorealistic miniature architectural diorama emerging from a blueprint, focusing on construction details and cinematic lighting.
A prompt for generating a hyper-realistic close-up shot of a hand holding a miniature 3D diorama of Moscow on a floating island. It details the landmarks (St. Basil’s, Kremlin, Moscow City), the base material (historic white stone), surrounding elements (crystal-clear water, lilac bushes), and specifies blue hour lighting with warm city streetlights, aiming for 16K resolution cinematic photography.
Creates stunning 3D diorama-style city maps with miniature photorealistic buildings, landmarks, and urban life elements emerging from a street map. Perfect for showcasing cities with their iconic features.
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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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