Overview
How might we design variation picker so people can trust and act on AI output?
When this pattern fits
- Ideal for AI image generation tools, creative design platforms, and ideation workflows where users benefit from comparing multiple visual variations simultaneously.
When to skip or lighten it
- Only one valid output exists, like a form field fill.
- Mobile viewports cannot show four previews legibly.
- Generation cost makes four variants per click prohibitive.
States
State model coming soon
Key UX elements
Key UX elements coming soon
Anti-patterns to avoid
Four near-identical outputs with no diversity knob.
Selecting a variant loses the other three with no recall.
Grid with no zoom or lightbox for detail comparison.
No seed or prompt lock when user picks a direction.
How products use it
| Product | Implementation |
|---|---|
| Midjourney | Four-up grid on initial generation with upscale on pick. |
| DALL-E | Multiple image variants per prompt in ChatGPT. |
| Stable Diffusion | Batch size controls in WebUI for parallel grids. |
| Adobe Firefly | Variation thumbnails after text-to-image generation. |
Implementation
Copy this prompt to generate a production-ready implementation in Cursor, Claude Code, Lovable, or any AI coding agent.
Generate a production-ready implementation of the "Variation Picker" AI interface design pattern.
Pattern Definition:Frequently asked questions
Why use a variation grid?
Humans compare faster visually. Showing four options at once cuts iteration time versus one-at-a-time regenerate.
How many variants is enough?
Four is a common default. Two feels thin; eight overwhelms on small screens.
What happens after selection?
Use the pick as the new base for refine, upscale, or inpaint. Optionally save siblings for later.
How does this relate to regen carousel?
Carousel is sequential history. Variation grid is parallel options from one generation request.