Una composición de pantalla dividida vertical. Ladoizquierdo: Una fotografía de cuerpo entero en alta resolución de un hombre apuesto con barba cuidada y cabello oscuro, vistiendo una camisa de vestir blanca impecable metida en pantalones azul marino y zapatos Oxford de cuero marrón. Está posando contra una pared gris limpia. Ladoderecho: Una ilustración vectorial minimalista, geométrica en blanco y negro de bajo poligonaje del rostro del mismo hombre. Encima de la ilustración, el texto en negrita sin serifa '{argument name="name" default="BOB"}' está apilado sobre la palabra '{argument name="profession" default="Designer"}'. Estética de marca profesional, limpia y moderna.
Marketing de producto - Composición de marca con pantalla dividida vertical
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Un prompt para crear una composición de imagen de pantalla dividida vertical, utilizada para branding profesional. El lado izquierdo presenta una fotografía de alta resolución de un hombre apuesto en traje de negocios, y el lado derecho muestra una ilustración vectorial geométrica minimalista en blanco y negro de su rostro, superpuesta con el texto en negrita "BOB Designer".
A detailed prompt for Nano Banana 2 to create a product photography visualization of wireless earbuds and their charging case, based on an input character image. The composition is a split screen, with the character on the left and the tech product on the right, featuring colors and motifs derived from the character's outfit. Includes specific technical and branding requirements in Japanese.
An extremely detailed, structured JSON prompt for generating hyper-realistic commercial product photography using Gemini Nano Banana. It specifies a vertical split-screen layout featuring two modules: one for a chocolate milkshake with dynamic splashes and floating elements, and the other for a metallic Nescafé can with explosive splashes and moody atmosphere.
A structured prompt for creating a realistic product showcase infographic of the classic Nintendo Game Boy, split into two sections: one showing different perspectives with a Tetris screen integrated, and the other detailing the materials and surface breakdown.
A detailed template prompt for generating a high-fashion editorial typography poster with a strict 1:2 composition split. The prompt defines the layout, requiring a massive vertical word (acting as a stencil mask) on the left third, revealing the subject, and specific text placement and font styles (Helvetica Condensed) for a clean, graphic design aesthetic.
A highly structured JSON prompt for generating practical, eye-catching thumbnails/eyecatch images in the style of a high-end magazine cover. It features a dynamic diagonal split background, a massive masthead, and a high-quality 2D cel-shaded anime girl positioned along the diagonal flow, with text interwoven for a 3D effect. The prompt is designed for a design course advertisement.
Two separate prompts for generating ultra-realistic studio portraits of a man and a woman, both utilizing dramatic split lighting with vibrant cyan blue and magenta pink neon colors. The prompts specify high contrast, sharp focus, and a modern 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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