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L'objet A est une machine complexe (par exemple, une navette spatiale, un grand piano, une montre à mouvement mécanique).
Décomposer en 3 phases d'assemblage :
Phase1 : Châssis/structure brute.
Phase2 : Engrenages/câblage internes.
Phase3 : Extérieur fini.
2.Conteneur (Le déploiement géométrique) :
Objectif : Photographie de « plan cinétique ».
L'objet : Une série de cales triangulaires en acrylique fixées à une charnière centrale, s'ouvrant comme une fleur éclose ou une boîte à outils.
La disposition : Les cales sont partiellement dépliées sur la surface d'une table à dessin.
3. Les dioramas (La vue éclatée) :
Contenu interne : Chaque cale contient une « phase » différente de la machine.
Lien visuel : De véritables fils de cuivre ou des chaînes en laiton traversent physiquement les interstices entre les cales en acrylique, « connectant » la chaîne d'assemblage.
4.VisuelArrière-plan : Un bureau d'atelier encombré avec des plans et des pieds à coulisse.
Éclairage : Un éclairage latéral dur pour projeter des ombres des engrenages internes à travers les parois en acrylique transparent sur la table.
Résultat : UNE image, Format d'image 16:9, Rendu macro 3D, Esthétique « Art technique ».
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Infographie / Visuel éducatif - Prompt : Plan de déconstruction de machine complexe
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Un prompt Nano Banana complexe et multi-étapes, conçu pour générer une photographie 'Kinetic Blueprint' d'une machine complexe (comme une Navette spatiale) déconstruite en trois phases d'assemblage, présentée à l'intérieur de cales triangulaires en acrylique partiellement dépliées sur une table à dessin, mettant l'accent sur l'art technique et le rendu macro.
Stop listing specs. Start selling value. This prompt converts your raw technical features (e.g., "WebSockets support") into high-converting marketing copy (e.g., "Real-time collaboration"). Ideal for Indie Hackers and Engineers.
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 complex, multi-panel prompt designed to visualize the invention and marketing of a new product by combining two concepts (or evolving one). It mandates a 2x2 grid structure, with each quadrant requiring a distinct visual style: technical line art (Exploded Patent View), schematic diagram (Functional Diagram), photorealistic render (Product Render), and editorial layout (Marketing Pitch). The prompt acts as an industrial designer, focusing on cohesion between the panels and a minimalist, consumer electronics aesthetic.
A complex, structured prompt for Nano Banana using Python-like class definitions to generate a hyper-detailed diorama visualization of an astronaut's mission-planning journal for the Artemis II mission, focusing on the transition of 2D sketches into physical 3D miniatures.
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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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