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Designers waste hours “fixing” AI outputs that ignore layout, brand rules, and real deliverables. I’ve been there, and it’s absolutely maddening. The best Nano Banana Pro prompt examples in 2026 aren’t about clever one-liners. They’re reusable scaffolds that lock down constraints, chain references, and spit out layout-ready assets. Here are some production-grade prompt patterns you can copy, tweak, and standardize across your team.
textROLE: senior brand designer + production art director GOAL: generate a campaign-ready visual that matches a strict brand system BRAND RULES: - Brand name: [BRAND_NAME] - Tone: [TONE] (ex: premium, playful, clinical, rebellious) - Color palette: [HEX_1], [HEX_2], [HEX_3], [HEX_4] - Typography: primary [FONT_FAMILY_PRIMARY] (weight [WEIGHT]), secondary [FONT_FAMILY_SECONDARY] - Visual style: [STYLE_TAGS] (ex: minimal Swiss, neo-brutalist, editorial, soft 3D) - Do not introduce new colors outside palette unless specified DELIVERABLE: - Surface: [SURFACE] (poster, landing hero, email header, social carousel, app screen) - Aspect ratio: [ASPECT_RATIO] - Safe area: keep all critical elements inside 8% margin - Negative space: reserve [COPY_ZONE] for headline and CTA (leave empty, no text) SUBJECT + COMPOSITION: - Subject: [SUBJECT] - Camera/view: [CAMERA_VIEW] (top-down, 3/4, straight-on) - Composition: [COMPOSITION_RULE] (rule of thirds, centered, asymmetrical grid) - Background: [BACKGROUND_STYLE] LIGHTING + MATERIALS: - Lighting: [LIGHTING] (softbox, rim light, overcast daylight) - Material cues: [MATERIALS] (matte paper, brushed aluminum, glass, fabric) OUTPUT QUALITY: - Output: 4K, crisp edges, print-friendly detail, no artifacts - Avoid: warped geometry, unreadable micro-details, random logos, extra fingers, gibberish text
This is honestly the “one prompt to rule them all” for brand consistency. It forces Nano Banana Pro to treat the output like a real design surface with margins and copy zones-not just another image. My suggestion? Make this a shared team template, then build out smaller variation prompts for different crops and placements.
Important
[!IMPORTANT]
If your workflow supports reference images, attach: 1 brand style tile, 1 palette card, 1 typography sample, 1 previous campaign visual, and 1 product photo. Sources report multi-reference prompting commonly up to 8 refs, and some platform capabilities cite up to 14 refs plus 4K output and consistent likeness for up to 5 people.
textUsing the exact same brand rules and style as the previous image: Create [VARIANT_COUNT] variants for [CHANNEL] with these crops and layouts: 1) [ASPECT_RATIO_1] with subject left, empty copy zone right 2) [ASPECT_RATIO_2] centered hero, extra negative space top for headline 3) [ASPECT_RATIO_3] close-up detail crop, texture-forward, no text 4) [ASPECT_RATIO_4] wide banner, minimal background, strong silhouette Hard constraints: - Keep palette strictly: [HEX_1], [HEX_2], [HEX_3], [HEX_4] - Preserve subject identity and materials - No new props unless specified: [ALLOWED_PROPS] Output: 4K where possible, clean edges, no random lettering.
This “master + variations” pattern is exactly how teams crank out full suites of assets: hero images, social posts, email headers, you name it. From what I’ve seen-and what the research echoes-this kind of structured prompting can cut early exploration time by 40-60% for dashboards and 50-70% for product concept mockups, especially when compared to traditional 3D passes. (Designer review is still required, of course!)
textPhotorealistic studio packshot of [PRODUCT] on seamless background. Camera: 85mm lens look, f/8, sharp edges, true-to-life proportions. Lighting: large softbox key at 45 degrees, subtle fill, controlled specular highlights. Surface: [SURFACE_MATERIAL] (matte acrylic / brushed metal / paper). Background: pure [BACKGROUND_COLOR] with gentle gradient only. Constraints: - No extra logos, no random text, no warped label - Keep label typography crisp and aligned - Output: 4K, ecommerce-ready, minimal noise
Use this one when you need that “looks like a catalog shoot” result, but without the over-stylized AI vibe. Here's the thing: reflections and specular highlights are where AI usually gives itself away, so calling them out explicitly really helps.
textCreate a packaging concept for [PRODUCT_TYPE] under brand [BRAND_NAME]. Format: [PACKAGE_FORMAT] (stand-up pouch, box, bottle, blister pack). Layout constraints: - Front panel has 3 zones: A) top 20%: logo lockup area (leave empty) B) middle 55%: hero visual area C) bottom 25%: regulatory/copy area (leave empty, no text) Materials: [MATERIAL] with realistic folds, seams, and print texture. Lighting: soft studio, accurate shadows, no distortion. Output: 4K, print-like realism, straight edges, no gibberish text.
This solves a super common production issue: AI “helpfully” invents copy and trashes the compliance layout. Leaving zones empty means you can finish cleanly in Illustrator or Figma, instead of fighting the image.
textPlace [PRODUCT_PACKAGE] on a retail shelf in the [CATEGORY] aisle. Camera: eye-level, slight 3/4 angle, realistic store lighting. Constraints: - Keep our package facing camera, readable shape, no warped edges - Competitor packages are generic, no real brand names, no readable text - Depth of field: moderate (product sharp, background slightly soft) Output: 4K, realistic shadows, no surreal objects.
This one's perfect for pitch decks and concept validation. It also keeps your mockups legally safe by forcing generic competitor packaging-so definitely don't skip that part.
textDesign a [POSTER_THEME] poster as a layout-ready composition. Aspect ratio: [ASPECT_RATIO] Grid: 12-column grid, 8% margins, baseline rhythm visible subtly. Hierarchy zones: - Headline zone: top 25% (leave empty, no text) - Visual zone: middle 55% (dominant image) - Details zone: bottom 20% (leave empty, no text) Style: [STYLE] (Swiss modernist / editorial / neo-brutalist). Color palette: [HEX_1], [HEX_2], [HEX_3] Constraints: - No random lettering - Clean negative space, print-ready, crisp edges Output: 4K
I’ve found you get dramatically more usable outputs by prompting for “layout intent” instead of just “make a poster.” The grid callout nudges the model toward actual structure (well, as much as it can).
textCreate a typographic composition that feels like bold display type, but contains no readable words. Style: [TYPE_STYLE] (condensed grotesk / serif editorial / stencil industrial). Composition: large letterform shapes, high contrast, strong kerning rhythm. Texture: [TEXTURE] (ink bleed, letterpress, risograph, foil). Palette: [HEX_1], [HEX_2] Constraints: - Do not form real words or brand names - Edges should look vector-clean, minimal artifacts Output: 4K, poster-ready
This is a very practical workaround for the AI's questionable text reliability. You get all the typographic energy without the misspellings, then you can drop in the real type using your design tool of choice.
Tip
[!TIP] When you must include real text, keep it short and verify every character. Use AI for the visual field and reserve final typography for Illustrator/Figma.
textCreate a mobile app screen concept for [APP_TYPE]. Screen: iPhone-like, 1170x2532 look, rounded corners, status bar minimal. Layout constraints: - Top app bar: 56px height, left icon zone, centered title zone (leave title empty) - Primary CTA: fixed bottom, 56px height (leave button label empty) - Content uses 8pt spacing system, consistent paddings Style: [DESIGN_SYSTEM_STYLE] (Material-like, iOS-like, custom minimal). Palette: [HEX_1], [HEX_2], [HEX_3] Constraints: - No readable text, use placeholder blocks only - Clean alignment, consistent corner radii, accessible contrast Output: 4K
This tends to produce screens that you can actually rebuild as real components. The “no readable text” rule avoids broken labels and keeps the model focused on the layout itself.
textCreate a web dashboard layout for [DOMAIN] analytics. Canvas: 1440x900 Grid: 12 columns, 24px gutters, 80px side margins Modules: - KPI row: 4 cards - Main chart: large center area (placeholder chart shapes) - Secondary charts: 2 side-by-side - Table: bottom section with zebra rows (no readable text) Style: [STYLE] (enterprise clean / dark mode / editorial). Constraints: - No real numbers, no readable labels - Strong hierarchy, consistent spacing, accessible contrast Output: 4K
Research summaries cite a 40-60% faster exploration phase for dashboards and infographics when prompts are this heavy on constraints. This one is built to map cleanly into a design system, so you’re not reverse-engineering chaos later.
textCreate a 2x2 grid (four equal panels) for a social carousel cover. Subject: [SUBJECT] stays consistent across all panels. Panel variations: 1) Studio product shot, clean white 2) Lifestyle context, warm natural light 3) Macro detail, texture emphasis 4) Abstract brand pattern derived from subject shape Constraints: - Consistent subject identity and proportions - Palette locked to [HEX_1], [HEX_2], [HEX_3] - No text anywhere Output: 4K, crisp grid lines, equal spacing
This approach mirrors prompt patterns you'll find in curated libraries and repos like awesome-nano-banana-pro-prompts. It’s a quick way to generate a carousel foundation that you can then overlay with copy in your editor.
textCreate a two-page lookbook spread. Left page: full-bleed image of [SUBJECT] in [STYLE] lighting. Right page: mostly white/neutral space with a small accent motif in brand palette. Constraints: - No text - Clean print-like margins and gutter - Palette: [HEX_1], [HEX_2] Output: 4K, print-ready, minimal artifacts
This is designed for easy assembly in InDesign or Figma. The whitespace on the right page is intentional, not just “empty by accident”-and there’s a big difference.
textUse the provided reference images to match: - subject identity and likeness - wardrobe and materials - lighting style and color grading - background world-building details Create a new scene: [SCENE_DESCRIPTION] Constraints: - Keep the same character identity and facial features - Keep brand palette: [HEX_1], [HEX_2], [HEX_3] - No text, no logos Output: 4K, cinematic but brand-consistent, clean edges
And here’s the thing: this is the real differentiator in 2026-getting consistency across tons of variations. Multi-reference workflows are the key. Sources often highlight using up to 8 references to keep a campaign coherent, and some platforms are even boasting support for 14 images while keeping up to 5 people looking consistent.
textKeep [PRODUCT] identical to the reference: same shape, label placement, proportions. Change only the environment to: [ENVIRONMENT] Lighting: match environment realistically, but preserve accurate product colors. Constraints: - Do not redesign the label - No extra text or logos - No deformation of the product silhouette Output: 4K, realistic shadows, ecommerce-grade clarity
This is perfect for seasonal swaps and channel-specific context shots. The key (and I can’t stress this enough) is explicitly freezing the SKU geometry and label placement.
textRegenerate with strict framing lock: - Subject must remain at [POSITION] (ex: center, left third) - Subject scale must remain [SCALE_PERCENT]% of frame height - Camera must remain [CAMERA_VIEW] Do not change subject identity, colors, or materials. Remove any newly introduced props. Output: 4K, clean edges
If your outputs keep drifting, the fix is measurable constraints like position and scale. “Keep it similar” sounds nice, but it’s too vague to be dependable.
textRegenerate the same scene but enforce cleanup: - Remove: extra objects, floating shapes, surreal reflections, fake lettering - Enforce straight lines on: [LIST_EDGES] (box edges, label borders, UI cards) - Texture should be subtle and realistic, no over-sharpening No readable text anywhere. Output: 4K, minimal noise, crisp boundaries
This is a production prompt, not an art prompt. It goes straight after the common failure modes that burn so much time in real workflows.
textStrict palette compliance: Only use these colors: [HEX_1], [HEX_2], [HEX_3], [HEX_4] plus neutrals (#FFFFFF, #000000, #F2F2F2). If a color is not in the list, replace it with the closest palette color. Keep lighting realistic but do not shift hues outside the palette. Output: 4K
Palette drift is one of the fastest ways to break brand consistency. This prompt forces substitution logic instead of just “vibes,” which is usually where things go off the rails.
textTake this prompt and convert it into our brand system: - Keep the same deliverable type: [DELIVERABLE] - Replace colors with: [HEX_1], [HEX_2], [HEX_3] - Replace typography cues with: [FONT_FAMILY_PRIMARY], [FONT_FAMILY_SECONDARY] - Add layout constraints: margins 8%, copy-safe zone [COPY_ZONE] - Add negative prompt constraints: no gibberish text, no random logos, no warped edges Return: a master prompt + 3 variation prompts for aspect ratios [AR_1], [AR_2], [AR_3]
Use this to turn those massive “250+ prompt directories” into team-ready templates. You’re basically converting one-off prompts into a repeatable system.
The Aixploria directory is a great starting point for breadth across categories. The smart move is to grab a prompt you like, then run it through that “Library mining” scaffold from above to make sure it respects your brand rules. Think of these directories as raw ingredients, not final recipes.
The Imagine.art guide offers nice variety, especially for product photography and ad-like visuals. My go-to workflow is to use my master brand scaffold and just paste these prompts into the “SUBJECT + COMPOSITION” section. That way, everything stays consistent, no matter who on the team is generating it.
The Wavespeed guide really digs into reference-image workflows, which often support up to 8 refs. This is your cue to build a simple, standard “reference pack”: a palette tile, type sample, product photo, a prior campaign image, and a lighting reference. Just doing that will dramatically cut down on your corrective iterations.
Community compilations like this Reddit thread are gold for battle-tested phrasing. My take: pull the structure (constraints, camera, lighting) and re-encode it into your own brand scaffold. Don’t just blindly copy adjective-heavy style lines without constraints, because that’s where the drift creeps in.
This Medium techniques post is great for ideation, especially for things like display typography and illustrated layouts. The most effective way to use it is to convert those “idea prompts” into deliverable prompts by adding the surface, aspect ratio, margins, and copy-safe zones.
| Prompt Type | What it optimizes | Typical failure it prevents | Best For |
|---|---|---|---|
| Master brand scaffold | Consistency across outputs | Style drift, palette drift | Campaign systems, teams |
| Studio packshot | Photoreal product clarity | Plastic highlights, warped labels | Ecommerce, PDP images |
| Packaging with zones | Layout discipline | Fake copy, destroyed compliance areas | Concept packaging, decks |
| Poster grid layout | Hierarchy and whitespace | Busy compositions, unusable crops | OOH, event posters |
| UI screen constraints | Spacing and components | Misalignment, unreadable labels | App concepts, pitch screens |
| 2x2 grid carousel | Batch variation | Inconsistent subject identity | Social carousels, moodboards |
| Debug prompts | Iteration speed | Artifact whack-a-mole | Production cleanup passes |
textReserve negative space for copy: - Leave [COPY_ZONE_LOCATION] completely empty - No text, no icons, no patterns in the copy zone - Increase contrast between subject and background outside the copy zone Add 8% safe margins around the entire frame.
Empty space has to be framed as a constraint, not a preference. If you just say “minimal,” the AI will often still fill the space with subtle, unwanted texture.
textBrand safety constraints: - No logos, no brand names, no readable text - Any packaging in the scene must be generic and unreadable - Replace signage with abstract shapes only Output: 4K, clean edges
This is critical for retail shelf and lifestyle scenes where the model loves to sneak in random signage.
textGenerate a campaign set using the same art direction: Deliverables: 1) Hero image [16:9] with copy zone right 2) Social feed [4:5] centered hero 3) Story [9:16] top-weighted composition for headline space 4) Email header [1200x600] minimal background Constraints: - Same palette, same lighting style, same subject identity - No text Output: 4K where possible
This maps directly to real-world channel specs, and it cuts down on the re-briefing you have to do between generating each output.
Start here (your first step)
Create a shared “master brand scaffold” prompt in your team wiki and fill it with your HEX palette and typography rules.
Quick wins (immediate impact)
5-image reference pack (palette tile, type sample, product photo, prior campaign, lighting reference) and reuse it for every generation this week.4-deliverable campaign set (hero, feed, story, email header) from one art direction prompt, then only adjust crops.Deep dive (for those who want more)
10 prompts from a directory into your brand scaffold and store them as named templates (packshot, packaging, poster, UI, carousel).So, the takeaway is this: the best Nano Banana Pro prompts for designers in 2026 are all about constraint-first templates. They define the surface, lock layout zones, enforce brand rules, and use reference chaining to keep everything consistent. When you start treating your prompts like a design system instead of one-off magic spells, your iteration time will plummet because your outputs will start so much closer to production-ready. If you want even more examples, check out our guide to the Best Nano Banana Pro Prompts: 50+ Examples (2026) and start converting the best ones into your own reusable scaffolds.