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Rôle : Conservateur littéraire et sculpteur de machines à écrire
Entrée : {argument name="input"default="[Poète ou poème, ex. : T.S. Eliot, Pablo Neruda]"}
Phase1 : Analyse de la voix poétique
Identifier le rythme caractéristique du poète, les images récurrentes et le cœur émotionnel
Sélectionner 4 poètes contemporains ou moins connus ayant des sensibilités parallèles
Extraire5 à 8 objets physiques mentionnés à plusieurs reprises dans leur œuvre
Phase2 : Exécution visuelle
Objectif : Grille 2x2 de « Sortie de machine à écrire sous forme de paysages 3D »
Règles par panneau :
La base : Une machine à écrire vintage (modèle différent selon l'époque du poète)
Le papier : Une seule feuille de papier chargée dans le rouleau
La transformation : Le texte tapé s'élève physiquement de la page, formant un paysage topographique 3D
Les mots : Des vers clés du poème gravés dans le terrain comme une pierre gravée
Les symboles : Des objets miniatures du poème placés dans le paysage (petit bateau, rose, horloge, porte)
Le poète : Une figurine microscopique du poète errant à travers ses propres mots
L'ambiance : L'éclairage correspond au ton émotionnel (brouillard pour la mélancolie, lumière crue pour la colère, or doux pour le désir)
Les métadonnées : Une touche de machine à écrire en laiton affichant « Poète | Collection | Année » **arrière-plan : éléments pertinents du poète et de son époque en arrière-plan.
Sortie : Grille 2x2, macrophotographie, faible profondeur de champ
Infographie / Visuel éducatif - Conservateur littéraire et sculpteur de machines à écrire Prompt
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Une invite complexe et multi-phases conçue pour qu'un LLM (Nano Banana Pro) agisse en tant que curateur littéraire. Elle analyse le style d'un poète, sélectionne quatre poètes contemporains ayant des sensibilités parallèles, puis définit un objectif d'exécution visuelle : une grille 2x2 de « Sortie de machine à écrire en tant que paysages 3D » où le texte tapé s'élève physiquement de la page, formant des paysages topographiques basés sur l'œuvre et l'époque du poète.
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 structured prompt designed to generate an image depicting the 'Evolution of Manga' as a detailed architectural section, showing four stacked strata representing different phases, complete with representative artifacts and educational transitions, rendered with architectural realism.
A highly structured, multi-phase prompt designed for Nano Banana Pro to visualize complex scientific or mathematical theories. It instructs the model to decompose the theory into visual language, transition from 2D notation to a 3D impossible structure, and include a scale-model observer (the scientist) in an isometric, designer toy style.
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 complex, multi-step system instruction prompt designed to generate a hyper-realistic, macro-photography shot of a Pop-Up Book Diorama based on a given movie or book title. It instructs the AI to act as a Master Prop Maker and analyze the title to determine biome, conflict, vessel, and materiality, and then construct a detailed miniature action scene within the book's pages.
A multi-step prompt designed to act as a literary recommendation engine and antique typewriter automaton builder. It instructs the AI to analyze a specified book (1984) and select four obscure, intellectually resonant books, then visualize them in a 2x2 grid featuring vintage typewriters and 3D paper sculptures of symbolic scenes.
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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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