Nano Banana Pro

Top-Down Flat Lay of Dog Formed from Keyboard Keycaps

A detailed prompt for creating a photorealistic, top-down flat lay image of a dog silhouette formed entirely from mechanical keyboard keycaps, emphasizing precise arrangement, realistic legends, and soft studio lighting on a pure white back

Prompt text

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Create a photorealistic 8K top-down flat lay composition of a dog formed entirely from real mechanical keyboard keycaps. The keycaps should be matte PBT plastic in OEM or Cherry profile, arranged in a tight, uniform grid. Every keycap must include crisp, realistic legends—letters, numbers, punctuation, function keys, arrows, and symbols—printed in double-shot or dye-sublimated style. No blank keycaps are allowed. The distribution of legends should feel naturally randomized, as if sourced from real keyboards, with believable variation.

The keycaps must be precisely arranged to form a clean, clearly recognizable side-profile silhouette of a dog. The silhouette should be sharp and well-defined, with smooth contour transitions that accurately capture the dog’s head, ears, body, legs, and tail. Outside the silhouette, there should be pure white negative space with no additional objects or distractions.

The background must be seamless, pure white. The composition should have a 16:9 aspect ratio and be perfectly centered in frame. The camera angle must be an exact 90-degree overhead view with minimal perspective distortion, maintaining a completely flat surface appearance.

Lighting should be soft, diffused studio lighting with very gentle contact shadows beneath each keycap and subtle edge highlights that emphasize the plastic texture. Avoid harsh shadows or dramatic contrast. The overall result should feel ultra-sharp, clean, noise-free, and highly detailed, showcasing realistic material texture and precise arrangement.

Source & attribution

Aylin · Awesome Nano Banana Pro Prompts

Source-listed license: CC-BY-4.0. Prompt text is preserved; titles and previews may be shortened for display. Source examples are not NexGateHub test results.

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