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<instructions> Paso1: Analiza los viajes y vehículos de movilidad urbana y 5 patentes relevantes del pasado.
Paso2: Aprende sobre sus características, cómo se pueden combinar, qué se puede inspirar en ellas, cómo se pueden integrar las patentes.
Paso3: Diseña un dispositivo de transporte híbrido que combine los principales puntos de venta de todas estas ideas en un producto factible.
Resultado: una cuadrícula de 2x2. Cuadrícula 1: Crea una representación 3D del dispositivo híbrido, mostrándolo en uso en una calle de la ciudad, con una explicación detallada de sus características y beneficios únicos. Cuadrícula 2: "Ahora renderiza el producto final en un estilo de fotografía de producto de Apple brillante sobre un fondo blanco infinito con un sutil reflejo. Agrega un número de patente falso en la esquina". Cuadrícula 3: explicación detallada de los puntos de venta como una revista de tecnología. Cuadrícula 4: cuatro dibujos técnicos de patente limpios en blanco y negro (vista explosionada, lateral, superior, perspectiva) de esta nueva invención en el estilo clásico de ilustración de patentes.
</instructions>
Infografía / Visual Educativo - Diseño y generación de patentes de dispositivos de transporte híbridos
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Una instrucción de múltiples pasos para LLM/generación de imágenes que pide a la IA analizar la movilidad urbana, investigar patentes, diseñar un dispositivo de transporte híbrido y luego generar cuatro resultados visuales: una representación 3D en uso, una toma de fotografía de producto brillante, una explicación detallada de los puntos de venta y cuatro dibujos técnicos de patentes clásicos en blanco y negro.
A reusable prompt template for creating labeled exploded view diagrams of any subject in a square format, useful for product breakdowns or educational visuals.
A prompt for generating a low-poly image of a character figure, specifically a Megami Device model, utilizing the NanoBananaPro tool. The user notes this could be useful for creating references for low-poly character modeling.
This is an image generation prompt designed for Google Nano Banana Pro, shared via the ALT text of the tweet. It describes a futuristic, high-tech banana-shaped device with a sleek, minimalist design, emphasizing a clean, white background and soft studio lighting for a product photography aesthetic.
A prompt for Nano Banana Pro to generate a futuristic cinematic scene featuring a tech engineer holding an energy core device and projecting a life-size holographic armored exosuit, emphasizing detailed UI, sci-fi concept, and mixed lighting.
A detailed prompt for generating a cinematic close-up of a weathered, retro-futuristic binocular device held by a scout in a dusty desert, emphasizing tactile details, film grain, and a 'Star Wars' or 'Dune' aesthetic.
A detailed promotional prompt for Nano Banana Pro, aiming to generate a 2K ultra-realistic winter scene in Kashmir featuring heavy snowfall, bustling markets, and local life, with the Nano Banana Pro device subtly displayed in the foreground.
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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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