Grille 2x2, faites ceci pour 4 sujets scientifiques ou mathématiques célèbres de niveau doctorat <instructions>
Variable d'entrée : {argument name="théorème ou formule" default="Théorème / Formule"}
Phase 1 : Décomposition schématique
Analyser la notation : Identifier le langage visuel principal du scientifique (Craie sur tableau noir ? Encre sur parchemin ? Crayon sur papier millimétré ?).
Identifier la « Structure » : Si cette théorie était un bâtiment, à quoi ressemblerait-elle ?
Logique : Théorie du chaos -> Flèche fractale. Thermodynamique -> Bloc moteur.
Phase 2 : La transition dimensionnelle
La Base : Une surface plane couverte du [Médium de notation] (par exemple, un tableau noir en ardoise couvert d'équations à la craie).
L'Extrusion : Les lignes de craie se soulèvent physiquement de la surface. Elles commencent comme des wireframes blancs, puis gagnent en opacité, puis en texture.
Le Climax : En haut de l'image, les wireframes se sont entièrement solidifiés en une structure photoréaliste et impossible représentant la théorie.
L'Observateur : Une minuscule figurine à l'échelle du scientifique se tient sur la section plate « 2D », levant les yeux avec admiration vers l'énorme structure « 3D » qu'il a invoquée.
Sortie : Isométrique en plongée, style « jouet de designer de modélisation 3D », contraste saisissant entre les lignes esquissées et la masse solide.
</instructions>
Infographie / Visuel éducatif - Modèle de prompt Nano Banana Pro Science
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Une invite hautement structurée et multi-phases conçue pour que Nano Banana Pro visualise des théories scientifiques ou mathématiques complexes. Elle demande au modèle de décomposer la théorie en langage visuel, de passer d'une notation 2D à une structure 3D impossible, et d'inclure un observateur à l'échelle (le scientifique) dans un style de jouet de designer isométrique.
A highly structured JSON prompt for Nano Banana Pro designed to generate a high-quality, educational infographic poster (9:16 aspect ratio) about a specific food ingredient. It uses a modular 'Bento Grid' UI design style, specifying sections for nutrition analysis, health benefits, cooking methods, seasonality, food pairings, and storage tips, all rendered with a minimalist aesthetic and warm, low-saturation color palette.
A complex, multi-phase prompt designed to generate a hyper-detailed macro diorama image illustrating a historical or modern rivalry (e.g., Elon Musk vs. a competitor). It requires integrating era-appropriate documents (the 'stage'), tiny figurines of the rivals in period clothing, giant tools, and critically, legible environmental text (identity anchors) to label the figures without floating text. This prompt is highly conceptual and structured.
A complex, structured prompt for generating a 'Culinary Science' diorama photograph, specifically illustrating the chemistry of a food item like chocolate or caramel. The scene features an L-shaped display box, a periodic table background with samples in Petri dishes, a 1:12 scale scientist figure, and massive 3D extruded letters made of the food itself, rendered in a 'Wes Anderson' symmetry.
A complex prompt designed to generate a 2x2 grid of cinematic sci-fi dioramas, where each panel represents a classic book (Lord of the Rings, Dune, 1984, Brave New World) rendered as a topographic relief map with moving mechanical elements. The style is premium, cool-toned, and highly detailed, mimicking a museum exhibit.
A sophisticated system prompt designed for Nano Banana Pro to create high Click-Through Rate (CTR) thumbnails based on principles of cognitive science (neuroscience, psychology, behavioral economics). It instructs the AI to adopt the persona of an expert art director, analyze input text, and follow a detailed thinking process (Thinking Mode) before drawing, focusing on facial activation, pop-out effects, and minimizing cognitive load. It includes specific design and typography instructions.
A cinematic close-up prompt for Nano Banana 2 to generate a portrait of a young woman with wet hair, featuring mathematical formulas and scientific equations projected across her face in a dark, moody, high-contrast cyberpunk aesthetic.
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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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