1.Input A ist eine komplexe Maschine (z. B. {argument name="machine type"default="A Space Shuttle"}, ein Flügel, eine Uhr).
Zerlegenin3Montagephasen:
* Phase1: RohesChassis/Gestell.
* Phase2: InterneZahnräder/Kabel.
* Phase3: FertigeAußenhülle.
2.DerBehälter (Die geometrische Entfaltung):
* Ziel: „KineticBlueprint“-Fotografie.
* DasObjekt: EineReihe dreieckiger Acrylkeile, die an einem zentralen Scharnier befestigt sind und sich wie eine blühende Blume oder ein Werkzeugkasten öffnen.
* DasLayout: DieKeile sind teilweise auf einer Zeichentischoberfläche entfaltet.
3.DieDioramen (DieExplosionszeichnung):
* InternerInhalt: JederKeil enthält eine andere „Phase“ der Maschine.
* VisuelleVerbindung: EchteKupferdrähte oder Messingketten überbrücken physisch die Lücken zwischen den Acrylkeilen und „verbinden“ so die Montagelinie.
4.Visuell
* Hintergrund: Ein unaufgeräumter Werkstatttisch mit Bauplänen und Messschiebern.
* Beleuchtung: HartesSeitenlicht, um Schatten der internen Zahnräder durch die klaren Acrylwände auf den Tisch zu werfen.
* Ausgabe: EINBild, 16:9Seitenverhältnis, 3D-Makro-Rendering, Ästhetik „TechnicalArt“.
Infografik / Edu Visual - Blaupausen-Prompt zur Zerlegung komplexer Maschinen
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Ein komplexer, mehrstufiger Nano Banana Prompt, konzipiert, um eine 'Kinetic Blueprint'-Fotografie zu erzeugen, die eine komplexe Maschine (wie ein Space Shuttle) zeigt, welche in drei Montagephasen zerlegt und in teilweise aufgeklappten dreieckigen Acrylkeilen auf einem Zeichentisch präsentiert wird, mit Betonung auf technische Kunst und Makro-Rendering.
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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