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ErstellenSie eine technische Illustration im Vintage-Patentstil von {argument name="object"default="einem komplexen mechanischen Gerät"} auf gealtertem, cremefarbenem Pergamentpapier. SchwarzeTuschelinienführung mit Sepia-Akzenten, handbeschriftete Etiketten, Querschnittsansichten, nummerierte Komponentenbeschriftungen, offizieller Patentrahmen mit gefälschter Patentnummer und Datum. Stil der Maschinenbauzeichnungen der 1890er Jahre. Elegant, autoritär, museal.
Infografik / Edu Visual - Technische Illustration einer Vintage-Patentskizze
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Eine Prompt-Vorlage zur Erstellung einer technischen Illustration eines Objekts im Vintage-Patentstil. Sie spezifiziert schwarze Tusche-Linienführung, Sepia-Akzente, handbeschriftete Etiketten, Querschnittsansichten und einen offiziellen Patentrand auf gealtertem cremefarbenem Pergamentpapier, um die Ästhetik von Maschinenbauzeichnungen aus den 1890er Jahren zu erzielen.
A prompt designed to generate an image of a vintage United States patent document from the late 1800s. It specifies details like precise technical drawings, handwritten annotations, aged paper texture, foxing stains, an embossed seal, and a wax stamp, making it ideal for historical or archival aesthetics.
A multi-step LLM/image generation prompt instructing the AI to analyze urban mobility, research patents, design a hybrid transportation device, and then generate four visual outputs: a 3D rendering in use, a glossy product photography shot, a detailed explanation of selling points, and four classic black-and-white technical patent drawings.
A complex, multi-step prompt designed for Nano Banana 2 to invent an absurd, legally patentable gadget by combining three random home appliances. The process involves generating a formal patent document (title, abstract, claims, problem solved), technical patent drawings, and a final glossy product render in Apple-product-photography style.
A prompt template designed to generate a complex, multi-section documentation board for a timepiece, blending historical patent drawings, a detailed exploded view of the movement (with material callouts), and an intimate portrait of the completed watch, transitioning visual styles across the board.
A complex, multi-step LLM prompt instructing the model to act as an inventor, historian, and artist. It requires analyzing an uploaded image of a historical figure (like Elon Musk) to predict and design two upgraded, feasible future products based on their tendencies. The output must be a 4-panel grid featuring 3D renderings of the products in use and detailed black-and-white technical patent drawings of the next-generation upgrades.
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.
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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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