Best Nano Banana Pro Prompt Examples for Designers 2026

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.

Master prompt scaffolds that stay consistent across a campaign

Prompt: Brand system lock-in (master scaffold)

textCopy
ROLE: 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.

Prompt: Campaign variation generator (keeps the master style)

textCopy
Using 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!)

Product and packaging prompts that look like real photography

Prompt: Studio packshot with controllable reflections (ecommerce-ready)

textCopy
Photorealistic 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.

Prompt: Packaging concept render that preserves regulatory copy zones

textCopy
Create 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.

Prompt: On-shelf retail context mockup (planogram-friendly)

textCopy
Place [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.

Typography and layout prompts that respect hierarchy

Prompt: Poster layout with explicit grid and copy-safe zones

textCopy
Design 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).

Prompt: Display typography as vector-like letterforms (no readable words)

textCopy
Create 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.

UI and product screen prompts that don't break UX rules

Prompt: Mobile app screen concept with component constraints (Figma-friendly)

textCopy
Create 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.

Prompt: Dashboard data-viz layout with "chart placeholders"

textCopy
Create 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.

Multi-panel and grid prompts for carousels, lookbooks, and moodboards

Prompt: 2x2 carousel grid with one subject, four treatments

textCopy
Create 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.

Prompt: Lookbook page pair (left image, right whitespace for copy)

textCopy
Create 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.

Reference-driven prompts for repeatable characters and brand worlds

Prompt: Reference chaining for a consistent campaign "world"

textCopy
Use 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.

Prompt: "Same product, new environment" without changing the SKU

textCopy
Keep [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.

Debug prompts for when Nano Banana Pro "almost works"

Prompt: Fix composition drift (subject keeps moving)

textCopy
Regenerate 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.

Prompt: Remove AI artifacts (extra objects, weird geometry, fake text)

textCopy
Regenerate 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.

Prompt: Color compliance (AI keeps inventing new colors)

textCopy
Strict 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.

Best prompt libraries and directories for Nano Banana Pro in 2026

Prompt: "Library mining" query to adapt a directory prompt into your brand system

textCopy
Take 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.

Aixploria Nano Banana prompt directory (250+ prompts)

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.

Imagine.art Nano Banana Pro guide (75 prompts)

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.

Wavespeed Nano Banana Pro guide (reference images up to 8)

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-tested prompt sets (74 that actually work)

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.

Techniques roundup (creative typography and structured ideas)

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.

Comparison table: which prompt type to use for which design task

Common questions designers ask in 2026 (and the prompt fix)

How do you get Nano Banana Pro to respect empty space for copy?

textCopy
Reserve 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.

How do you stop AI from inventing logos and brand names?

textCopy
Brand 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.

How do you generate a full campaign set faster?

textCopy
Generate 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.

Quick Wins

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)

• Build a 5-image reference pack (palette tile, type sample, product photo, prior campaign, lighting reference) and reuse it for every generation this week.
• Generate a 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)

• Standardize three debug prompts (composition lock, artifact cleanup, palette compliance) and require them in your review checklist before exporting assets.
• Convert 10 prompts from a directory into your brand scaffold and store them as named templates (packshot, packaging, poster, UI, carousel).

Useful Resources

• Aixploria Nano Banana prompt list (250+) - Broad directory to source prompt patterns.
• Imagine.art Nano Banana Pro prompting guide (75 prompts) - Ready-to-use prompts, good for quick category coverage.
• Wavespeed Nano Banana Pro complete guide (2026) - Reference-image workflow details (commonly cited up to 8 refs).
• awesome-nano-banana-pro-prompts (GitHub) - Multi-panel and structured prompt examples.
• Community-tested prompts discussion (Reddit) - Practical prompt phrasing that's been trialed by users.

Wrapping Up

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.