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2026-08-053 min readen

Nano Banana image editing prompts: a brand-safe guide for controlled creative changes

Use a reference-first prompt structure to make deliberate AI image edits without inventing product facts or rendering marketing copy into pixels.

From reading to creating

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Open Vibart to generate images or videos, then finish brand text, crops, and export-ready layouts on the canvas.

A better question than “what is the perfect Nano Banana prompt?”

The highest-performing prompt is rarely the longest. A stronger question is: what single visual decision am I asking the model to make, and what must remain factual? Google’s image-generation documentation separates generation from edit-oriented patterns such as adding, removing, or modifying an element while matching the original scene’s style, light, and perspective. Its editing examples point toward a useful operating principle: describe the change, describe how it should integrate, and supply a reference whenever truth matters.

This is especially important for product, editorial, and brand work. A model can create a compelling image while still changing a label, inventing an accessory, or turning a real headline into unusable pixel text. The answer is not to avoid image generation; it is to keep the task narrow and finish the controlled parts in Vibart.

The six-part editing prompt

  • Reference: identify the supplied image and the exact subject to preserve.
  • Change: ask for one visual change, such as a new background, season, prop, or lighting direction.
  • Integration: state that shadows, scale, color temperature, perspective, and contact points must match.
  • Composition: specify the target aspect ratio and where copy can live.
  • Exclusions: name things that must not appear or change.
  • Delivery: request an image with no generated lettering or brand marks.

For a shoe campaign, a compact request could be: Use the supplied shoe photograph as the exact subject. Replace only the background with an understated city-stairwell scene at blue hour. Match the shoe's existing camera angle, scale, and soft studio edge light. Portrait 4:5 composition with clean space in the upper third. Do not add text, logos, people, extra products, or alter the shoe material.

One change per round beats a “make it better” prompt

Vague requests collapse art direction, retouching, compliance, and copywriting into one generation. They also make it hard to diagnose what went wrong. Instead, split the work:

  • Round one: test environment and crop.
  • Round two: choose light and prop density.
  • Round three: protect product color, material, and silhouette.
  • Round four: bring the winning image to the canvas for headline, CTA, price, and localization.

This approach creates comparable variants. It also makes feedback specific: “keep the first composition, use the second reflection, reduce the prop scale” is a usable revision brief; “make it more premium” is not.

Guardrails for product and paid creative

Generated lettering is not a substitute for governed copy. Google Merchant Center requires images to represent the item and restricts promotional overlays and obscuring marks in product imagery. The official image guidance is why a team should maintain a clean asset layer and add offers in the right destination format instead of baking them into the image.

In practice, mark these as non-generative: legal claims, pricing, exact packaging, badges, logos, country-specific language, and campaign end dates. Generate the photographic context around them. Then put the business-critical information back as editable layers, where it can be reviewed and translated.

Review outputs like a creative director, not a prompt collector

Before choosing an output, compare it with the reference at 100% size. Check contact shadows, hand and object boundaries, duplicated objects, textile or packaging texture, and whether the negative space survived the intended crop. Ask whether the image is attractive and whether it can carry a real campaign message without being rebuilt.

The prompt is only the first half of the workflow. A trustworthy creative system retains the reference, records the accepted change, and keeps final text in a durable editing surface. Open Vibart, use the original image as your anchor, and turn the chosen generation into an export-ready composition rather than a terminal render.

FAQ: Should I include a brand name in every image-editing prompt?

Use a brand brief to guide tone, but do not rely on generated logos or wordmarks. Upload approved assets and place them in the canvas so they remain accurate, selectable, and reusable.

FAQ: How do I preserve the product exactly?

Use the original product image as a reference, state the elements that cannot change, limit the first pass to the environment, and reject any variant that changes the product itself.

Sources and further reading

The workflow and platform rules in this article are grounded in these primary references. Confirm current rules for your market and channel before publishing.

  1. Gemini API image generation guide
    Google AI for Developers
  2. Google Merchant Center image link requirements
    Google Merchant Center Help
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Next step: make one asset with the same workflow

Do not stop at the comparison page. Upload a reference, generate a direction, then keep copy and brand elements editable on the canvas.