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How to Use Imagen 4 for UI Mockup Ideation (And What It Actually Can’t Do)

Imagen 4 can generate UI concepts from text prompts — here’s what it actually does well, with copy-paste prompts for iOS, Android, and web.

9 min read
How to Use Imagen 4 for UI Mockup Ideation (And What It Actually Can't Do)

Here’s a thing that happens a lot in AI circles: someone writes a tutorial promising a specific feature, a specific workflow, a specific time — and then you spend 45 minutes trying to find the button that doesn’t exist. The working brief for this article promised a ‘Layout Constraints’ feature in Imagen 4 for generating responsive UI mockups across iOS, Android, and web in 15 minutes. Verified research found no such feature. So instead of writing fiction, here’s what Imagen 4 actually does for UI design — which turns out to be genuinely useful, just not in the way the hype suggests.

Imagen 4, Google’s latest text-to-image model (released in 2024 and updated into 2025), is a general-purpose image generator that has gotten noticeably better at rendering text, maintaining layout coherence, and producing photorealistic detail. It can produce interface-looking images. It won’t replace Figma, Adobe XD, or Galileo AI for production UI work — but as a rapid ideation and visual moodboarding tool for designers, it earns its place in the workflow. This tutorial covers how to actually use it for that, with prompts you can copy and run today in Google AI Studio or ImageFX.

What You’ll Actually Achieve

By the end of this, you’ll know how to generate UI concept images for mobile and web contexts using Imagen 4, how to prompt for specific visual styles (light, dark, material, iOS-adjacent), and how to iterate quickly on layout ideas before you open a single design tool. You won’t get interactive prototypes, responsive breakpoints, or exportable components — that’s what Figma is for. What you’ll get is a fast way to externalize a vague idea into something visual enough to discuss with a client or hand to a developer as a rough reference.

What You Need

Access to Imagen 4 comes through a few routes. Google AI Studio (aistudio.google.com) lets you use Imagen 4 via the Gemini API with a free tier available, though rate limits apply. ImageFX (labs.google) gives you a direct, browser-based interface to Imagen 4 with no API setup required — it’s the fastest way to start. If you’re working at scale or want programmatic control, the Vertex AI API gives you Imagen 4 with full parameter access. For this tutorial, ImageFX is fine. Open it, make sure you’re on Imagen 4 (the model selector shows the version), and you’re ready.

Mobile and tablet UI concept space.
Mobile and tablet UI concept space.

Prompting for Mobile UI Concepts

The single biggest mistake people make prompting Imagen 4 for UI work is being too vague. ‘Design a mobile app interface’ gets you something that looks like a blurry screenshot of a 2019 fintech app. Specificity is everything. You need to tell the model the platform, the screen state, the color palette, the typography mood, and the UI component you want to see. Let’s start with iOS.

A high-fidelity iPhone 15 Pro app screen mockup, fitness tracking dashboard, light mode, San Francisco font system, card-based layout with large bold numeric stats, heart rate chart at bottom, minimal white background, soft blue and coral accent colors, status bar visible at top, 390x844 pixel canvas, clean modern UI, photorealistic digital screenshot style

That prompt hits the essentials: device context, app type, screen state, typography reference, color palette, and rendering style. The ‘photorealistic digital screenshot style’ instruction pushes Imagen 4 away from illustrative or painterly outputs and toward something that reads as a real interface. Run this a few times — Imagen 4’s outputs vary, so generating four variants and picking the best one is standard practice.

Android Material You app screen, personal finance app, transaction history list view, dark mode, deep navy and emerald green palette, M3 design language, rounded cards with divider lines, FAB button bottom right, status bar and navigation bar visible, Google Sans typography aesthetic, crisp vector-style rendering

The ‘Material You’ and ‘M3 design language’ keywords do real work here. Imagen 4 has absorbed enough design documentation in its training data that these references meaningfully shift the output toward Android-appropriate visual patterns — rounded corners, surface elevation, that particular button style. Don’t expect pixel-perfect M3 compliance, but the general visual language lands.

Light and dark mode side by side.
Light and dark mode side by side.

Prompting for Web UI Concepts

Web UI prompts need to establish viewport and context fast. Desktop layouts read differently from mobile, and Imagen 4 needs explicit signals about which world it’s operating in.

Desktop web app dashboard, SaaS project management tool, 1440px wide viewport, light mode, left sidebar navigation with icon labels, main content area with Kanban board, three-column layout, Inter font style, blue and white color scheme, subtle card shadows, top navigation bar with user avatar, clean enterprise UI aesthetic, browser chrome visible at top

Adding ‘browser chrome visible at top’ is a useful trick — it grounds the output in a web context and often produces a more coherent layout. Without it, Imagen 4 sometimes generates something that reads ambiguously between mobile and web.

Landing page hero section for a B2B SaaS product, dark mode, glassmorphism panels, gradient from deep purple to black background, headline text placeholder in bold white sans-serif, CTA button with bright violet fill, abstract 3D geometric shape in background, desktop viewport 1440px wide, top navigation bar with logo left and nav links right, premium modern tech aesthetic

Landing pages are where Imagen 4 genuinely shines because they’re visually expressive and don’t require the component-level precision of a full app UI. This kind of prompt produces outputs good enough to drop into a client deck as a visual direction reference.

Generating Dark Mode Variants

There’s no ‘batch dark mode’ button in Imagen 4. What there is: the ability to rerun a prompt with a single variable swapped. That’s your dark mode workflow. Take any prompt that worked in light mode, swap the color and mode descriptors, and generate. It’s manual, but it’s fast.

A high-fidelity iPhone 15 Pro app screen mockup, fitness tracking dashboard, DARK mode, San Francisco font system, card-based layout with large bold numeric stats, heart rate chart at bottom, deep charcoal background #1C1C1E, white and electric blue accent colors, status bar visible at top, 390x844 pixel canvas, clean modern UI, photorealistic digital screenshot style

Notice the swap: ‘light mode’ becomes ‘DARK mode’, the white background becomes ‘deep charcoal background #1C1C1E’ (the actual iOS dark background color), and the coral accent gives way to electric blue. Capitalization on DARK is a minor but real trick — it seems to weight the instruction more heavily in Imagen 4’s attention mechanism, reducing the chance of getting a washed-out near-light result.

Pro tip ✅

To pseudo-batch dark mode variants: open ImageFX in three browser tabs simultaneously, each with a slightly different dark mode prompt variation. Run them at the same time and you’ve got three parallel generations done in the same time as one sequential run. Not automation, but faster than waiting for each to finish before starting the next.

Material You Android screen, budgeting app, home dashboard, DARK mode, background #121212, surface cards #1E1E1E, emerald green accent on positive numbers, red accent on negative, M3 typography scale, bottom navigation bar with three icons, smooth elevation shadows, Android 14 aesthetic, photorealistic UI screenshot

Prompting for Multiple Screen Sizes

Imagen 4 can’t generate true responsive breakpoints — there’s no logic, just image generation. But you can generate the same interface concept at different size contexts and compare them manually. The trick is to prompt each screen size as a separate generation and keep your component descriptions consistent across all three.

iPad Pro 12.9-inch app screen, fitness tracking dashboard, split-panel layout, light mode, left panel 320px wide with metric cards, right panel showing full-week activity chart, San Francisco font, blue and coral accent colors, iOS-style top navigation, landscape orientation, photorealistic screenshot style

Compare this to the iPhone 15 Pro prompt above — same app, same color palette, but now explicitly calling out split-panel layout and landscape orientation for the larger canvas. Then run the web version with the desktop prompt. You now have three images representing a rough mobile-tablet-web progression. Are they technically responsive? No. Are they useful for communicating design direction to a team? Absolutely.

Note 💡

Imagen 4’s text rendering has improved significantly over Imagen 3, but it still makes mistakes on longer strings. Prompt for ‘placeholder label text’ or ‘lorem ipsum style text in labels’ rather than expecting specific real words in specific places. Trying to force actual copy into specific UI positions reliably produces garbled outputs.

Three screen sizes, one design direction.
Three screen sizes, one design direction.

Style Modifiers That Actually Work

A handful of style descriptors consistently improve UI output quality in Imagen 4. These have been tested across multiple prompt runs and make a measurable difference.

iOS settings screen, dark mode, list-grouped style with disclosure indicators, SF Symbols icons, OLED black background, system font, toggle switches with blue active state, section headers in gray uppercase, photorealistic digital screenshot, 8-bit precision color rendering, anti-aliased text, pixel-perfect UI elements

The ‘pixel-perfect UI elements’ and ‘anti-aliased text’ descriptors push the model toward cleaner, sharper outputs. Without them, you sometimes get a slightly blurry or painterly rendering that doesn’t read as a real interface. ‘OLED black background’ (vs. just ‘dark’) tends to produce truer blacks rather than dark gray.

Pro tip ✅

Add ‘no gradients on UI elements, flat design’ to any prompt where you want Material Design-style flatness, or ‘subtle depth with layered elevation shadows’ when you want the iOS card-heavy feel. These opposing instructions reliably differentiate the two aesthetics in Imagen 4’s outputs.

Warning ⚠️

Avoid prompting for ‘realistic human hands using phone’ or ‘person holding device’ in UI mockup prompts. Imagen 4 has improved on hands, but combining hands-with-device-with-readable-UI is asking for three hard things at once. The UI quality drops significantly when the model also has to handle a person. Keep device mockups on plain or abstract backgrounds.

Avoid 🚫

Do not use Imagen 4 outputs as final deliverables in a production handoff. The images look like UI but contain no actual components, no spacing logic, no real typography, and no interaction states. Treat every output as a reference sketch, not a spec. The moment a developer or stakeholder treats it as authoritative, you’ve created a problem.

Where to Go After Imagen 4

The honest workflow for rapid UI design in early 2026 looks like this: use Imagen 4 (or Gemini 2.5 Pro with image generation) for initial visual direction, then bring the strongest concept into a dedicated tool. Galileo AI generates actual component-based UI from text prompts. Relume does the same for web design with Figma export. Figma’s own AI features are accelerating fast. These tools produce outputs that designers can actually edit, annotate, and hand off. Imagen 4 gets you to the conversation faster — the other tools get you to production.

Pro tip ✅

Screenshot your best Imagen 4 outputs and use them as reference images when prompting in Galileo AI or when briefing a designer. ‘It should look roughly like this’ with a visual attached moves faster than a paragraph of written description.

What This Actually Gets You

Imagen 4 is a capable generative image model that can produce UI-style visuals good enough to accelerate early design conversations. It does not have a ‘Layout Constraints’ feature. It does not auto-generate responsive breakpoints. It does not batch-export dark mode variants in one click. What it does do — generate visually coherent, style-specific interface concepts from detailed text prompts — is legitimately useful for designers, product managers, and founders who need to get an idea out of their head and into a shareable image before they’ve opened any design software. That’s a real workflow, and with the right prompts, Imagen 4 handles it well. Just know what you’re using before you start the clock.

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