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FASE1DELPROMPT: Analiza estas imágenes de [{argument name="object 1"default="OBJETO 1"}], [{argument name="object 2"default="OBJETO 2"}], [{argument name="object 3"default="OBJETO 3"}]. Extrae: 1) Función principal, 2) ADN del material (relación metal/plástico, textura), 3) Firma ergonómica (ángulo de agarre, distribución del peso), 4) Principio mecánico, 5) Asociación cultural. Genera la salida como JSON estructurado.
FASE2DELPROMPT: Crea una cuadrícula de 3x3 de renders fotorrealistas de productos sobre un fondo blanco inmaculado. Cada celda debe ser un concepto 3D hiperrealista que fusione elementos del análisis anterior. Para cada invención, añade texto minimalista en azul marino en HelveticaNeue: [Nombre de la invención], [Mecanismo central], [Caso de uso]. Estilo: DieterRams se encuentra con Dyson: limpio, técnico, premium. Incluye sombras sutiles y un borde dorado de 1 px en cada celda. Haz que las invenciones sean absurdas pero plausibles (por ejemplo, "Pelador acústico: utiliza ondas sonoras para pelar verduras").
Imagen principal de e-commerce - Prompt de dos fases para conceptos de fusión de productos absurdos
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Una instrucción de dos fases para Nano Banana Pro, diseñada para fusionar objetos cotidianos en inventos nuevos, absurdos pero plausibles. La fase 1 analiza la función, el material y el ADN cultural de tres objetos de referencia. La fase 2 genera una cuadrícula de 3x3 de conceptos 3D fotorrealistas al estilo Dieter Rams/Dyson, con etiquetas minimalistas.
A structured prompt for generating product photography in an advertising world context, focusing on a luxury watch. The prompt uses 'core tension' (Luxury vs. Absurdity) and 'twist mechanisms' (functional mismatch, material displacement, shape mutation) to create a visually striking and humorous image, set on polished black acrylic with strong backlighting.
A two-phase prompt for Nano Banana Pro designed to fuse everyday objects into new, absurd yet plausible inventions. Phase 1 analyzes the function, material, and cultural DNA of three reference objects. Phase 2 generates a 3x3 grid of photorealistic 3D concepts in a Dieter Rams/Dyson style, complete with minimalist labels.
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 simple, humorous prompt for Nano Banana Pro to generate an image of a woman sitting in a living room armchair, reading a book with a title that is completely unexpected and absurd for her character. The prompt emphasizes that the title must be visible.
A structured prompt in Chinese for generating an advertising visual of a luxury watch, focusing on extreme close-up composition, backlighting with lens flare, and incorporating an 'absurd' twist through material or shape mismatch for creative tension.
A multi-step prompt designed for Nano Banana Pro to analyze three uploaded random objects, combine their features into a single absurd but patentable invention, and then output a 2x2 grid featuring technical patent drawings, a glossy product render, and a detailed marketing explanation.
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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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