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Nanobannana Prompt Framework: Write Prompts That Stay Consistent

Feb 2, 2026

Nanobannana prompt framework: write prompts that stay consistent

If you searched for nanobannana prompt framework, you are likely struggling with drift, randomness, or inconsistent results. This guide shows a simple, repeatable way to write prompts so your outputs stay aligned across a series.

Important clarification: Nano Bannana is our product name and domain. "Nano Banana" is a name used for Google DeepMind's Gemini 2.5 Flash Image model. Nano Bannana is an independent service and is not affiliated with Google or Google DeepMind.

Why prompts fail

Most prompts fail for one of three reasons:

  1. Missing context: the model does not know where the subject is or what the image is for.
  2. Conflicting style signals: the prompt includes mixed or opposing style cues.
  3. No constraints: the model fills gaps with random text or extra objects.

A nanobannana prompt framework fixes these problems by forcing clarity and repeatable structure.

Prompt anatomy: the six building blocks

Use these six blocks for every prompt:

  1. Subject: what the image is about
  2. Context: where it is, or what is happening
  3. Style: photo, illustration, 3D, editorial, etc.
  4. Lighting: soft studio, natural daylight, cinematic
  5. Composition: angle, framing, copy safe space
  6. Constraints: no text, no watermark, no logo, no extra objects

When these blocks are present, your results are more stable and easier to refine.

The style lock line

A style lock is the line you never change across a series. It protects consistency. Example:

  • "Style: clean studio product photo, soft diffused lighting, neutral palette"

Once you approve a style lock, treat it like a design rule, not a suggestion.

The base prompt template

Copy and reuse this template. Replace only the bracketed parts:

Subject: [PRODUCT OR SUBJECT DETAILS].
Context: [ENVIRONMENT OR USE CASE].
Style: [STYLE], [MOOD].
Lighting and composition: [LIGHTING], [ANGLE], [COPY SAFE SPACE].
Constraints: no text, no watermark, no logo, no extra objects.
Output intent: [AD / LANDING PAGE / PRODUCT PAGE / SOCIAL].

This template is short enough to reuse and strong enough to produce consistent results.

Variation matrix: change one variable at a time

Once the base prompt is locked, use a simple matrix to create variations:

  • Background: change only the background
  • Angle: change only the camera angle
  • Props: add or remove one prop
  • Time of day: adjust lighting mood only
  • Format: change aspect ratio only

Do not combine multiple changes in one step. The goal is controlled iteration, not chaos.

A worked example: from brief to base prompt

Here is a short example that turns a brief into a stable prompt:

  • Brief goal: launch a new ceramic mug on a landing page
  • Brand tone: calm, minimal, premium
  • Placement: hero image with headline on the right

Prompt result:

Subject: ceramic mug, matte white, simple handle.
Context: clean studio setup with minimal surface.
Style: photorealistic product photo, calm, premium.
Lighting and composition: soft diffused light, centered, copy safe space on right.
Constraints: no text, no watermark, no logo, no extra objects.
Output intent: landing page hero.

This example shows how clear inputs remove guesswork and produce consistent outputs.

Prompt patterns for common tasks

1) Product hero image

Subject: [PRODUCT].
Context: clean studio setup.
Style: photorealistic product photo, premium, minimal.
Lighting and composition: soft diffused studio light, centered, subtle shadow, copy safe space on right.
Constraints: no text, no watermark, no logo, no extra objects.
Output intent: ecommerce product page.

2) Ad variant set (3 options)

Subject: [PRODUCT].
Context: simple studio scene with minimal props.
Style: clean commercial photo, consistent palette.
Lighting and composition: soft light, consistent framing, copy safe space.
Constraints: no text, no watermark, no logo.
Output intent: paid social ads, generate 3 variations by changing only [ONE VARIABLE].

3) Background swap edit

Edit the uploaded image. Keep the subject exactly the same.
Change: replace the background with [NEW BACKGROUND].
Keep: subject shape, color, and texture unchanged.
Lighting: match original lighting and shadows.
Constraints: no text, no watermark, no logo.

4) Character or mascot consistency

Subject: [CHARACTER DESCRIPTION].
Context: neutral background for character sheet.
Style: consistent illustration style, clean lines, brand palette.
Lighting and composition: even lighting, front and 3/4 views.
Constraints: no text, no watermark.
Output intent: character consistency across marketing assets.

Prompt QA checklist

Before you generate, ask:

  • Does the prompt include all six blocks?
  • Is the style lock line clear and stable?
  • Are constraints explicit and repeated?
  • Is the output intent stated?
  • Are you changing only one variable from the last version?

If any answer is no, fix it before you generate.

Organize prompts like assets

Prompts are production assets. Treat them like files:

  • Store them with the project
  • Use version numbers (v01, v02)
  • Note what changed between versions
  • Keep the approved base prompt separate from experimental drafts

This practice saves time and makes team collaboration possible.

FAQ

Q1: Do longer prompts produce better results?
A: Not necessarily. Structured prompts produce better results than long prompts.

Q2: Why do my outputs include random text?
A: Because constraints are missing or unclear. Add explicit "no text" constraints.

Q3: How do I keep prompts consistent across a team?
A: Use a shared prompt library and lock the style line.

Q4: Can I reuse the same base prompt for new campaigns?
A: Only if the style and product context are similar. Otherwise create a new base prompt.

Q5: Where can I find more prompt templates?
A: /nano-banana-prompts is the prompt library hub.

  • /nanobannana (brand navigation)
  • /nanobannana-quickstart (fast start guide)
  • /nanobannana-use-cases (use case ideas)
  • /nanobannana-workflow-for-teams (team workflow)
  • /nano-banana-prompts (prompt templates)
  • /nano-bannana-consistency (consistency guide)
  • /nano-bannana-landing-page-visuals (landing page visuals)
  • /nano-bannana-ad-creative-testing (ad creative testing)
  • /nanobannana-editorial-visuals (editorial visuals)
  • /ai-image-generator (generate images)
  • /pricing (plans and credits)

Conclusion

A strong nanobannana prompt framework is short, structured, and repeatable. When you lock style lines, keep constraints clear, and change one variable at a time, your outputs stay consistent and your workflow becomes predictable.

Next steps

  • /nano-banana-prompts
  • /nanobannana-use-cases
  • /ai-image-generator