Crea una imagen infográfica de [{argument name="body part"default="Eye"}], combinando una fotografía realista o un render fotorrealista del objeto con superposiciones de anotaciones técnicas colocadas directamente encima.
Utiliza dibujos lineales y texto en estilo tinta negra (aspecto de bolígrafo técnico / boceto arquitectónico) sobre un fondo de estudio blanco puro, incluyendo:
• Etiquetas de componentes clave
• Contornos de corte interno o vista explosionada
• Medidas, dimensiones y marcadores de escala
• Llamadas de materiales y cantidades
• Flechas que indican función, fuerza o flujo (aire, sonido, potencia, presión)
• Diagramas esquemáticos o seccionales simples cuando sea relevante
Coloca el título [BODYPART] dentro de un cuadro de anotación técnica dibujado a mano en una esquina.
Reglas de estilo y diseño:
• El objeto real permanece claramente visible debajo de las anotaciones
• Las anotaciones parecen bocetos, técnicas y arquitectónicas
• Composición limpia con espacio negativo equilibrado
• Ambiente educativo, de exposición de museo / manual de ingeniería
Estilovisual:
Estética de ilustración técnica mínima, líneas negras sobre imágenes realistas, sensación precisa pero ligeramente dibujada a mano.
Paleta de colores:
Fondo blanco, solo líneas de anotación y texto en negro. Sin colores.
Salida:
1080×1080, ultra nítido, optimizado para redes sociales, sin marca de agua.
Infografía / Visual Educativo - Plantilla de prompt para infografía de partes del cuerpo
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Una plantilla de prompt reutilizable para Nano Banana Pro diseñada para crear una imagen infográfica de una parte específica del cuerpo (por defecto, 'Ojo'). El prompt instruye a la IA para que combine una representación fotorrealista del objeto con superposiciones de anotaciones técnicas, utilizando dibujos lineales de tinta negra, etiquetas, medidas y diagramas esquemáticos sobre un fondo blanco puro, buscando una estética de manual de ingeniería educativa.
A detailed Japanese prompt for Nano Banana Pro to transform a reference character into a chibi-style robot and generate a technical illustration/infographic. The image features a cutaway view showing the character's clothing and the internal mechanical structure simultaneously, complete with English annotations for the parts.
A prompt for generating a colorful, minimalist exploded view diagram of a modern ergonomic chair. It specifies the style (industrial design, flat yet 3D), composition (vertically separated components), and requires clear labeling of all parts (headrest, casters, etc.) using a clean sans-serif font. This is useful for educational content or product marketing diagrams.
This prompt set is for generating ultra-realistic food photography, including a motion prompt for video generation (Kling AI) and two image prompts: one for a standard, high-detail pizza slice, and another for an exploded infographic view of the pizza layers.
A highly detailed, multi-part prompt designed to generate a technical infographic for an e-commerce product, combining a realistic photograph of the object with hand-sketched, architectural-style annotations, measurements, and schematic diagrams on a pure white background. The example object is a Tudor North Flag watch.
A complex, multi-part prompt designed to generate a technical infographic or blueprint of a product, combining a photorealistic image with dense, engineering-style annotations, labels, measurements, and structural callouts, all strictly in English, against a pure white background.
A detailed multi-part prompt for generating two distinct images and a motion sequence related to a taco. The first image is a high-end commercial photograph of the taco, and the second is a hyper-realistic exploded-view infographic of its ingredients with specific annotation design requirements. The motion prompt describes a smooth separation of ingredients for video generation.
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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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