Glitch Art
A glitch art-inspired [subject], distorted by fragmented digital overlays, pixel displacement, scanline interference, and unexpected visual corruption.
How to Use This Prompt
- Copy the full prompt text with the copy button above.
- Replace any [bracketed] placeholders with your own subject, scene, or details.
- Paste it into Gemini / Nano Banana Pro — or hit "Try this Prompt" above to generate here for free — then tweak the wording against the example images.
Style Notes
- Photo
- Asks the model for photorealistic output — natural lighting, believable skin and materials, camera-like depth of field — rather than illustration or 3D looks.
- Minimalist
- Few elements, generous negative space, restrained palette — the model is told to leave things out, which makes composition errors much less likely.
- Surreal
- Deliberately impossible imagery — dream logic, scale distortions, unexpected object combinations — where the model's "mistakes" become the style.
- Social Media Post
- Composition and aspect ratio tuned for feeds (Instagram, X, Xiaohongshu): bold focal subject, room for overlay text, colors that survive small screens.
- Marketing Campaign
- Ad-ready imagery: clear product or message hierarchy, space reserved for copy and logos, and a polished commercial finish.
FAQ
How do I use this prompt with Gemini (Nano Banana Pro)?
Copy the full prompt with the copy button above, paste it into Gemini or any Nano Banana Pro-powered tool, and compare your result with the example images on this page. You can also click "Try this Prompt" to generate directly on this site — free daily generations, no sign-up needed.
Can I customize "Glitch Art"?
Yes. Anything in [brackets] is a placeholder meant to be replaced with your own subject or details, and you can freely adjust subject, lighting, or style keywords — small wording changes often produce noticeably different results.
Which AI models does this prompt work with?
It was originally shared for Google's Gemini image models (including Nano Banana Pro). Most text-to-image models will understand it too, though composition and text rendering quality vary by model.
