<instructions> Actúa como un inventor, historiador, ingeniero de LLM y artista de talla mundial. Toma la imagen subida del científico, inventor o artista, analiza sus inventos, trabajos anteriores, tendencias y personajes de diseño. Paso1: Encuentra2 productos actuales aleatorios en los que podrían estar interesados si estuvieran vivos. Analiza sus fortalezas y debilidades. Paso2: Aprende sobre sus características y cómo pueden ser mejorados por el científico dado. Paso3: Diseña un dispositivo mejorado que fue perfeccionado por el científico/inventor/artista dado de una manera única y sorprendente, haciéndolo aún más popular entre el público. Deben ser factibles basándose en los avances científicos y tecnológicos actuales. Salida: Cuadrícula 1 y 2: Cada una es una representación 3D de un dispositivo mejorado, mostrándolo en uso en una calle de la ciudad, con una explicación detallada de sus características y beneficios únicos. Cuadrícula 3: Dibujos de patente técnicos limpios en blanco y negro (vista explosionada, lateral, superior, perspectiva) de la primera invención en el dibujo de patente, mostrando las mejoras que ocurrirán en la próxima generación. Cuadrícula 4: Dibujos de patente técnicos limpios en blanco y negro (vista explosionada, lateral, superior, perspectiva) de la primera invención en el dibujo de patente, explica las mejoras que ocurrirán en la próxima generación.</instructions>
Infografía / Visual Educativo - **Prompt de predicción de productos futuros para inventores**
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Un *prompt* complejo y de varios pasos para LLM que instruye al modelo a actuar como inventor, historiador y artista. Requiere analizar una imagen subida de una figura histórica (como Elon Musk) para predecir y diseñar dos productos futuros mejorados y viables basándose en sus tendencias. El resultado debe ser una cuadrícula de 4 paneles con representaciones 3D de los productos en uso y dibujos técnicos detallados en blanco y negro, tipo patente, de las mejoras de próxima generación.
A detailed prompt for Nano Banana Pro to generate a fortune telling visualization for the year 2026 in the style of Super Famicom pixel art, showing monthly flow and emphasizing a positive theme.
This entry describes a two-step workflow for learning complex topics (like AI comic production) by first using an AI tool to extract a full transcript and summary from a video, and then using Gemini Pro with a specific prompt to generate a visually engaging, hand-drawn style infographic based on the extracted text. The prompt is designed for Nano Banana Pro output.
A prompt designed to generate a visual sequence showing the predicted state of a scene or object at different points in time (5 minutes before, 30 minutes after, 1 hour after, 2 hours after). This is likely used for visualizing change or process flow.
A prompt for generating a four-panel manga titled '2026 Solo Camping Declaration of Independence' using Nano Banana Pro (Gemini 3 Pro Image). The scenario involves a reference to a comedian and a prediction about a government AI system.
A highly detailed, multi-section prompt designed to generate a screen capture of a social game's special move sequence (cut-in, move name, damage display). It strictly requires maintaining the character's original art style from a reference image while inferring dramatic effects, UI, and a random, chuunibyou-style Japanese move name and damage value.
A prompt used for entertainment purposes to instruct an image generation model to extend a provided stock trend chart (K-line chart) by drawing the predicted trend for the next 10 days using dashed lines.
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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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