Perfekter filmischer Querschnitt durch {argument name="dish name"default="[GERICHT]"}, sauber in der Mitte geschnitten, wobei jede innere Schicht detailreich enthüllt wird. DieSchnittfläche zeigt direkt zur Kamera, wie ein geologisches Diagramm des Geschmacks. Jede sichtbare Schicht ist mit einer dünnen horizontalen Linie versehen, die nach rechts verläuft – Großbuchstaben in serifenloser Schrift"{argument name="ingredient name" default="[ZUTATENNAME]}" mit kursiver Beschreibung darunter. Hintergrund: flaches, mattes {argument name="background color" default="[FARBE]"}. Beleuchtung: dramatisches Seitenlicht von links, das lange Schatten wirft, ein warmer Spot auf der Schnittfläche. Jede Textur hyperreal – sichtbare Feuchtigkeit, Lufteinschlüsse, Verkohlung, Glasur und Dampf. Stimmung: Architektur-Food-Fotografie trifft auf wissenschaftliche Illustration. Gerichtsname "[DISHNAME]" in großer, eleganter Schrift oben. Untertitel: "[TAGLINE]". 4K, gestochen scharf, Stilreferenz: Wes Anderson Symmetrie trifft auf Michelin-Sterne-Küche.
Infografik / Edu Visual - Prompt für filmische Querschnitt-Food-Fotografie
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Ein detaillierter Prompt zur Bilderzeugung für einen perfekten filmischen Querschnitt eines Gerichts, der die inneren Schichten im Stil einer wissenschaftlichen Illustration, mit dramatischer Beleuchtung und spezifischer Beschriftung der Zutaten enthüllt, inspiriert von Wes Andersons Symmetrie.
A structured prompt designed for Adobe Firefly using Nano Banana Pro to create a hyper-realistic, cinematic cross-section of a dish. It uses a scientific illustration style with labeled layers, dramatic lighting, and a Wes Anderson aesthetic.
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 highly specific prompt for generating a hyperreal, architectural food photograph of a tiramisu cross-section, detailing visible layers, textures, lighting (dramatic left side lighting), and labeling the ingredients like a scientific illustration, inspired by Wes Anderson aesthetics.
A highly detailed, structured JSON prompt for generating a cinematic industrial engineering-style infographic of the USS Abraham Lincoln aircraft carrier. It specifies technical elements like dimension lines, cross-sections, and exploded views, blending cinematic realism with professional military technical documentation.
A template prompt for generating an expert architectural illustrator's presentation board. It defines the layout flow (2D drawings on the left, elevations/cross-section in the center, 3D render on the right), allowing customization of the architectural style, key elements, linework style, texture, and color palette.
A prompt template for generating a vintage patent-style technical illustration of an object. It specifies black ink linework, sepia accents, hand-lettered labels, cross-section views, and an official patent border on aged cream parchment paper, aiming for the aesthetic of 1890s mechanical engineering drawings.
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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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