Create an infographic image of [{argument name="body part"default="Eye"}], combining a realistic photograph or photoreal render of the objectwith technical annotation overlays placed directly on top.
Use black ink–style line drawings and text (technical pen / architectural sketch look) on a pure white studio background, including:
•Key component labels
•Internal cutaway or exploded-view outlines
•Measurements, dimensions, and scale markers
•Material callouts and quantities
•Arrows indicating function, force, or flow (air, sound, power, pressure)
•Simple schematic or sectional diagrams where relevant
Place the title [BODYPART] inside a hand-drawn technical annotation box in one corner.
Style & layout rules:
•The real object remains clearly visible beneath the annotations
•Annotations feel sketched, technical, and architectural
•Clean composition with balanced negative space
•Educational, museum-exhibit / engineering-manual vibe
Visualstyle:
Minimal technical illustration aesthetic, black linework over realistic imagery, precise but slightly hand-drawn feel.
Colorpalette:
White background, black annotation lines and text only. No colors.
Output:
1080×1080, ultra-crisp, social-feed optimized, no watermark.
Infographic / Edu Visual - Infographic Prompt Template for Body Parts
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A reusable prompt template for Nano Banana Pro designed to create an infographic image of a specific body part (defaulted to 'Eye'). The prompt instructs the AI to combine a photorealistic render of the object with technical annotation overlays, using black ink line drawings, labels, measurements, and schematic diagrams on a pure white background, aiming for an educational, engineering-manual aesthetic.
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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