2x2-Raster, dies für 4 berühmte wissenschaftliche oder mathematische Themen auf PHD-Niveau <instructions>
InputVariable: {argument name="theorem or formula"default="Theorem / Formula"}
Phase1: SchematischeZerlegungNotationanalysieren: Die primäre visuelle Sprache des Wissenschaftlersidentifizieren (Kreide auf Tafel? Tinte auf Pergament? Bleistift auf Millimeterpapier?).
Die „Struktur“ identifizieren: Wenn diese Theorie ein Gebäude wäre, wie sähe es aus?
Logik: Chaostheorie -> FraktalerTurm. Thermodynamik -> Motorblock.
Phase2: Der dimensionale Übergang
DieBasis: Eine flache Oberfläche, bedeckt mit dem [NotationMedium] (z. B. eine Schiefertafel, bedeckt mit Kreidegleichungen).
DieExtrusion: DieKreidelinien heben sich physisch von der Oberfläche ab. Sie beginnen als weiße Drahtgitter, gewinnen dann an Opazität und schließlich an Textur.
Der Höhepunkt: Am oberen Bildrand haben sich die Drahtgitter vollständig zu einer fotorealistischen, unmöglichen Struktur verfestigt, die die Theorie darstellt.
DerBeobachter: Eine winzige, maßstabsgetreue Figur des Wissenschaftlers steht auf dem flachen „2D“-Abschnitt und blickt ehrfürchtig zu der massiven „3D“-Struktur auf, die er heraufbeschworen hat.
Output: Isometrisch aus der Vogelperspektive, im Stil eines „3D-Modell-Designer-Spielzeugs“, starker Kontrast zwischen skizzenhaften Linien und massiver Masse.
</instructions>
Infografik / Edu Visual - Nano Banana Pro Science Prompt-Vorlage
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Ein hochstrukturierter, mehrphasiger Prompt für Nano Banana Pro, um komplexe wissenschaftliche oder mathematische Theorien zu visualisieren. Er weist das Modell an, die Theorie in eine visuelle Sprache zu zerlegen, von einer 2D-Notation zu einer unmöglichen 3D-Struktur überzugehen und einen maßstabsgetreuen Beobachter (den Wissenschaftler) im isometrischen Designer-Spielzeugstil einzubeziehen.
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 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
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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
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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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