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Faites cela pour un plat asiatique célèbre<instruction> L'entrée A est un plat célèbre (photo ou nom du plat). Analysez en profondeur son pays ou sa région d'origine, la figure historique ou légendaire la plus associée à sa création ou à sa popularisation, les méthodes de préparation traditionnelles, sa signification culturelle et ses éléments sensoriels caractéristiques. L'entrée B facultative est une référence de style. Si elle est manquante, fusionnez le raffinement étoilé Michelin avec une sculpture de prisme kaléidoscopique.
Objectif : Une boîte en acrylique transparent de qualité supérieure contenant une chambre kaléidoscopique en miroir où la scène du plat se répète en motifs symétriques infinis.
Règles :
Centre : une figurine d'inventeur unique préparant le plat au point focal, reflétée dans un diorama symétrique envoûtant.
Compartiments d'ingrédients disposés en symétrie radiale géométrique.
Outils miniatures dupliqués dans les reflets du miroir.
Carte d'origine fracturée et répétée comme toile de fond de mandala.
Les bords de la boîte créent des réfractions arc-en-ciel à partir de teintes inspirées des drapeaux.
Étiquette bilingue positionnée de manière à se multiplier magnifiquement dans les reflets avec la date d'origine.
Sortie : UNE image, style photographie culinaire artisanale 4:5
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Marketing produit - Diorama alimentaire kaléidoscopique dans une boîte en acrylique
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Un modèle d'invite d'instruction complexe pour générer une boîte en acrylique haut de gamme, limpide, contenant une chambre de kaléidoscope miroitée. La scène représente un plat asiatique célèbre en cours de préparation par son inventeur, l'ensemble du diorama se répétant en motifs symétriques infinis, fusionnant le raffinement étoilé Michelin avec la sculpture prismatique.
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 non-JSON, formulaic prompt structure used for comparison between Nano Banana and Nano Banana 2. It defines the target image by combining elements like model, setting, vibe, camera gear (Hasselblad), and lighting, while subtracting undesirable elements like clutter and plastic skin.
A complex, structured prompt instructing the AI to visualize a famous Asian dish as a 'gourmet collectible' cinematic still. The core concept is a transparent acrylic cube staging a frozen scene from a biographical film about the dish's creation, complete with a miniature inventor, film props (ingredients), and architectural details made from food. The prompt requires the AI to first study the dish's origin and cultural importance.
This detailed prompt is designed to generate a cinematic, National Geographic-style portrait of a craftsman working on a miniature model of a famous structure, like the Death Star. It specifies the aesthetic, materials, lighting, and composition to create a highly atmospheric image of a cluttered workshop.
This prompt is designed to transform a subject (Nikola Tesla, in this case) into a hyper-realistic macro studio product shot of a LEGO Technic-style mechanical kitbash. It includes detailed instructions on zone mapping for construction, mechanism logic, and specific photo rules for a studio aesthetic, emphasizing shallow depth of field and realistic plastic textures.
A detailed JSON prompt for Nano Banana Pro designed to create a vertical product design catalog page. It specifies a two-section layout: a top lifestyle hero shot of an uploaded product in a minimal architectural interior, and a bottom technical specification panel featuring orthographic line drawings and material swatches, aiming for a premium, calm, and editorial aesthetic.
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Exponential Interactive, Inc d/b/a VDX.tv
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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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