Image
AI Icon Generator on Martini
Mobile app team shipping iOS and Android needs the iOS app icon, the Android adaptive icon, the favicon, plus a 24-icon set for the dashboard nav — every glyph at consistent line weight and visual rhythm. Drop the style reference once, drop the brand color once, fan across Ideogram, Flux, Midjourney, GPT Image 2, and Nano Banana 2 for icon variations. UI icons need a designer cleanup pass before they ship.
What this feature solves
Icon sets live or die on visual rhythm. A mobile app team shipping iOS and Android needs the iOS app icon (1024x1024 master), the Android adaptive icon (foreground + background layers), the favicon (16x16 and 32x32), and a 24-icon dashboard nav set — every icon at the same line weight, the same corner radius treatment, the same stroke alignment, the same level of detail. Tab-based AI image tools generate one icon at a time and have no way to anchor the visual rhythm across 24 sequential generations. By icon 12, line weights have drifted, corners look unrelated, and the dashboard nav reads as a stack of disconnected glyphs.
The other half of the problem is platform spec. iOS App Store icons follow Apple's grid (1024x1024 master, no transparency, no pre-baked rounded corners — Apple applies them). Android adaptive icons need foreground and background as separate layers. Favicons need pixel-perfect treatment at 16x16 and 32x32 because anti-aliasing fights small details. Generic AI image generators do not produce platform-specced output, and the design team ends up running every icon through a manual cleanup pass in Illustrator before the build accepts it.
And there is the licensed-set risk. Apple SF Symbols, Google Material Icons, Heroicons — these are licensed icon sets with usage rules. AI image models trained on icon imagery sometimes produce icons that mirror these sets too closely, which becomes a problem if the app ships commercially. A workflow that produces concept-stage icon variations without claiming engine-ready output is honest about where AI fits in the icon pipeline — concept acceleration, not designer replacement.
Why Martini is different
Martini anchors the icon style once on the canvas. Drop one style reference image as a labeled image node — the chosen line weight, the chosen visual treatment (filled, outlined, duotone, gradient), the chosen rounding language. Drop one brand color reference as another anchor. Every icon in the dashboard nav set wires into both anchors plus the per-icon concept prompt (search, settings, profile, notifications, dashboard, reports, help, logout). The set scales from two locked anchors; visual rhythm holds across all 24 icons automatically.
Multi-model fanout for the hero icons, single-model for the catalog. The iOS app icon is the deck-defining glyph — fan across Ideogram (clean letterforms if the icon includes a logo letter), Flux (geometric precision), Midjourney (editorial range), GPT Image 2 (refinement), and Nano Banana 2 (detail fidelity). Pick the strongest direction. For the 24-icon dashboard nav set, lock the winning model and run all 24 concept prompts through it from the same style and color anchors. The hero gets the iteration; the catalog scales on the template.
Downstream chaining handles platform formats. Once the hero icons land, fan into per-platform exports — 1024x1024 PNG for iOS, 432x432 foreground + 432x432 background for Android adaptive, 16x16 and 32x32 ICO for favicon, 48px through 512px for web grid. The same approved icon produces every size and format from one canvas. Designer cleanup happens in Illustrator afterwards — Martini accelerates concept exploration; the designer locks pixel-snap, alignment, and platform conformance before the build ships.
Common use cases
iOS app icon and Android adaptive icon
Fan out the app icon hero direction across multiple models, pick the winner, and chain into iOS 1024x1024 master plus Android foreground/background layers.
Dashboard nav set for a SaaS app
Anchor the style and color once; run 24 nav-icon concept prompts through the locked chain — search, settings, profile, dashboard — at consistent visual rhythm.
Favicon and browser tab icon set
Generate the favicon at 16x16, 32x32, and 48x48 plus the high-res master that browsers fall back on for retina pinned tabs.
macOS and Windows app icons
For desktop apps, generate ICNS (macOS) and ICO (Windows) compatible masters from one approved icon design.
Domain or category icons for a content site
Publication or content platform generates a category-icon set — politics, business, tech, sports — at consistent visual rhythm for the site nav.
Onboarding or feature-introduction iconography
App onboarding flow needs feature-introduction icons that match the app icon and dashboard set; same anchors, same chain, same visual rhythm.
Recommended model stack
ideogram
imageClean letterform rendering for icons that include a brand initial, like a stylized "T" for a Tideline app icon.
flux
imageGeometric precision and clean line weight that survives downscaling to favicon sizes.
midjourney
imageEditorial range for hero app icons and brand-mark variations.
gpt-image-2
imageEdit-aware refinement to align line weight and stroke treatment across the icon set.
nano-banana-2
imageDetail fidelity for icons that need to read clearly at multiple resolutions.
How the workflow works in Martini
- 1
1. Anchor the icon style and the brand color
Drop one style reference image (filled, outlined, duotone, gradient) and one brand color reference as labeled image nodes. Both stay locked across every icon in the set.
- 2
2. List the icon concepts as a set
For a 24-icon dashboard set, write each per-icon concept prompt — search, settings, profile, notifications, dashboard, reports, help, logout, calendar, chat, billing, team, archive, export. The list lives as a text node above the icon chain.
- 3
3. Fan the hero icon across multiple models
For the iOS app icon — the brand-defining mark — fan across Ideogram, Flux, Midjourney, GPT Image 2, and Nano Banana 2. Pick the strongest direction for the hero.
- 4
4. Lock the winning model as the icon-set template
Save the canvas as a template. Run the remaining 23 dashboard icons through the locked model from the same style and color anchors. The set holds visual rhythm.
- 5
5. Refine through GPT Image 2 for line-weight alignment
For the showcase icons in the set — the home, the profile, the dashboard glyphs — pipe through GPT Image 2 for edit-aware cleanup of stroke treatment and corner alignment.
- 6
6. Chain into platform-format exports
iOS app icon: 1024x1024 PNG no transparency. Android adaptive: foreground + background layers. Favicon: 16x16, 32x32 ICO. Web grid: 48-512px masters. The same approved icon produces every format.
- 7
7. Hand off to the designer for production cleanup
Final production icons usually still need a designer pass in Illustrator or Figma for pixel-snap, alignment, and platform conformance. Martini accelerates concept; the designer locks production.
Example workflow
Marcus is the lead designer for a SaaS team shipping iOS and Android plus a web dashboard. The product needs an iOS app icon, an Android adaptive icon, a favicon set, and a 24-icon dashboard nav. He opens a workspace canvas and drops the style reference (filled, soft-rounded, two-color gradient) as one anchor and the brand color (deep navy and warm coral) as another. For the hero app icon, he writes a prompt — a stylized T for Tideline anchored in a soft-rounded square — and fans across Ideogram (legible T-form), Flux (geometric precision), Midjourney (editorial polish), GPT Image 2, and Nano Banana 2. He picks the Ideogram direction and locks it. For the 24-icon dashboard set, he lists each concept prompt — search, settings, profile, dashboard, reports, billing, calendar, chat, team, help, archive, export, plus 12 more — and runs them through the locked chain. Each icon chains through GPT Image 2 for line-weight alignment and into per-format exports. The hero app icon ships at 1024x1024 PNG; the Android adaptive ships as a 432x432 foreground over a 432x432 background; the favicon ships as 16x16 and 32x32. Marcus runs the dashboard icons through Illustrator for pixel-snap and alignment cleanup before pushing to the build. The team ships a coherent visual identity across iOS, Android, and web in one sprint.
Tips and common mistakes
Tips
- Anchor the style reference and the brand color as separate canvas nodes. The icon set's visual rhythm comes from locked anchors, not 24 individual prompts.
- Fan out only on the hero app icon. Lock the winning model for the 24-icon catalog scale-out.
- For iOS app icons, follow Apple's grid: 1024x1024 master, no transparency, no pre-baked rounded corners (Apple applies them).
- For Android adaptive icons, separate foreground and background layers explicitly. The OS handles masking.
- Always run the final icon set through Illustrator or Figma for designer cleanup before shipping. Pixel-snap, stroke alignment, and platform conformance still need the designer pass.
Common mistakes
- Generating icons that mirror Apple SF Symbols, Google Material Icons, or Heroicons. These are licensed sets with usage rules; AI sometimes drifts toward them, which is risky for commercial apps.
- Skipping the designer cleanup pass. AI icon output is rarely engine-ready — line weight, pixel snapping, and stroke alignment usually need a designer pass before the build accepts the icon.
- Pre-baking iOS rounded corners. Apple applies the corner mask itself; submit a square 1024x1024 master.
- Treating the favicon like a downsized icon. 16x16 and 32x32 fight anti-aliasing; the favicon usually needs a separate, simplified design rather than the same icon at a smaller size.
- Letting line weight drift across the dashboard set. Without a locked style anchor, every icon picks a different stroke treatment and the nav fragments visibly.
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Comparisons
Frequently asked questions
How is this different from a logo generator?
Logos are brand marks at unlimited scale — for the company sign, the website header, the business card. Icons are functional UI symbols inside an app — small (16/24/32/48/72/512px), consistent line weight, consistent visual rhythm across a set. The logo is the brand; the icon is the affordance. Both share a visual identity, but the design constraints differ — logos need creative range and ownership; icons need consistency, legibility, and platform conformance.
Will the AI output be ready to ship in my app?
AI icon output is rarely engine-ready. Line weight, pixel snapping, stroke alignment, and platform conformance (iOS App Store grid, Android adaptive layers, favicon anti-aliasing) usually need a designer pass in Adobe Illustrator or Figma before the build accepts the icon. Martini accelerates concept and exploration; the designer locks production. Treat the AI output as the high-quality draft, not the final asset.
How do I keep all 24 icons looking consistent?
Anchor the style reference and the brand color as separate canvas nodes. Every per-icon concept prompt wires into the same two anchors. After fan-out picks the strongest model on the hero icon, lock that model as the icon-set template and scale the remaining 23 icons through it. Visual rhythm holds because the upstream anchors never moved.
What sizes do I need for iOS, Android, and web?
iOS app icon: 1024x1024 PNG master (Apple applies the rounded mask). Android adaptive: 432x432 foreground over a 432x432 background as separate layers. Favicon: 16x16 and 32x32 ICO plus a 192x192 master for retina. Web grid: 48px through 512px for various site contexts. The canvas produces all of these from one approved hero direction.
Can I use this for a Material Design or Apple SF Symbols-style set?
Generate icons inspired by general design language patterns, but do not produce icons that mirror Apple SF Symbols, Google Material Icons, or Heroicons closely — these are licensed sets with usage rules. Build your own original icon set based on your brand style. AI image models sometimes drift toward popular icon libraries; review the output for accidental similarity before shipping commercially.
Which model is best for icons?
Different icon types favor different models. Ideogram leads on icons that include letterforms (a stylized brand initial). Flux delivers geometric precision and clean line weight. Midjourney brings editorial range to hero app icons. GPT Image 2 refines stroke treatment across the set. Nano Banana 2 holds detail fidelity at multiple resolutions. Fan out the hero icon across all five and lock the winning model for the 24-icon catalog scale-out.
Build it on the canvas
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