Deliverable and audience
Name the asset, final channel, audience, aspect ratio and acceptance criteria before describing style. A prompt for a paid product hero needs different evidence and safe areas from a private concept frame.
Google · AI image generator · Last checked August 28, 2026
Krea AI 2.0 Beta Nano Banana 2 Prompt Guide
A detailed, independent prompting workflow for using Nano Banana 2 in the context of Krea AI 2.0 Beta. It translates the model’s documented capabilities into clear briefs, original examples, reference-control instructions, iteration methods and production checks for real-time visual ideation, art direction and iterative image creation.
This page does not confirm that Krea AI 2.0 Beta currently exposes Nano Banana 2 or every developer control. Verify the live model selector, plan, credits, reference limits, export options and commercial terms before production.
Start with the documented model scope
Fast Gemini image generation and editing with high-resolution output and localization features. The current catalog records these relevant abilities: Generation from 512px through 4K on supported endpoints; Fast instruction-led editing; Improved text rendering. Accepted inputs are described as Prompt, Reference image. Those facts define what a prompt may reasonably request; they do not guarantee identical controls or results in every serving product.
Prompting cannot repair a mismatched model choice. Use Nano Banana 2 when its documented modality and controls fit the brief, then compare a short test batch against the same acceptance criteria. Keep the model version, prompt, references, settings and approved output together so a later revision remains reproducible.
The Nano Banana 2 prompt structure
Deliverable → subject → action or layout → environment → camera and light → reference roles → constraints → acceptance test.
Subject and invariants
Describe the primary subject once, then list identity, geometry, color, wardrobe, labels or proportions that must stay stable. Separate required facts from optional visual exploration.
Action or composition
State the subject position, crop, camera height, depth layers, negative space and hierarchy. Spatial instructions are more testable than adjective-heavy mood lists.
Camera, light and material
Choose compatible camera and lighting instructions. Name the motivated source, direction, softness and material response. Too many lens, angle or lighting cues compete with one another.
Reference roles
Give every image, frame, clip or audio reference one job. Say which reference controls identity, layout, motion, palette, material, voice or timing, and which elements may change.
Constraints and review
List only constraints that protect the brief: no unapproved logo, no invented copy, preserved object count, stable travel direction, exact approved text, or a fixed end frame. Finish with an acceptance test.
Complete Nano Banana 2 prompt examples
Replace the creative facts below with approved project details. Keep the structure stable while testing one variable at a time; changing the subject, composition, style, camera and references together makes failures difficult to diagnose.
Localized campaigns master prompt
Create a production-ready localized campaigns image for real-time visual ideation, art direction and iterative image creation. Deliverable: state the final channel and aspect ratio. Primary subject: describe identity, material, pose, scale and the details that must remain stable. Composition: place the subject explicitly, define foreground, middle ground, background, camera height, crop, negative space and hierarchy. Lighting: name one motivated source, direction, softness and surface response. Palette: use a small compatible set of colors. Typography: render only approved copy placed in quotation marks and identify its exact location. References: assign each supplied reference exactly one role—identity, layout, palette, material or geometry—and state what must not change. No watermark, extra objects, decorative microtext or unsupported claims.Reference-controlled prompt
Assign every reference one role
Reference 1 controls the subject’s exact identity and proportions. Reference 2 controls only the layout. Reference 3 controls only the palette and material finish. Create a fast concept iteration image while preserving the protected subject’s silhouette, facial features or product geometry, approved colors and camera angle. Change only the environment and supporting light. Keep every object outside the requested edit unchanged. Do not merge reference identities, invent a logo, add text or alter the protected subject’s dimensions.Correction prompt for a second pass
Change only the failed variable
Edit only the marked region. Preserve the approved subject, crop, perspective, light direction, shadows, palette, typography and every pixel outside the marked area as closely as the interface permits. Replace the incorrect object with one physically plausible object of the specified material and scale. Match contact shadow, reflection and depth of field. Do not redesign the scene, add text, change facial identity or move surrounding objects.Concise comparison prompt
Hold the brief constant across models
Generate one image for real-time visual ideation, art direction and iterative image creation: Localized campaigns. Use one focal subject, one readable action or hierarchy, one motivated light source, a restrained palette and a clean background. Preserve approved identity and object geometry. Leave safe space for final captions. No logo, watermark, invented statistics, decorative text or unrelated objects. Return a result that can be evaluated for prompt adherence, composition, physical plausibility and revision effort.Model-specific controls to describe explicitly
Inputs
- Prompt
- Reference image
Name what each input controls. More references are not always better; remove redundant or contradictory material.
Best-fit jobs
- Localized campaigns
- Fast concept iteration
- Character-led assets
- Text-heavy graphics
Choose one primary job per generation. Separate exploratory concepts from factual, regulated or identity-sensitive delivery.
Variants and endpoints
- Gemini 3.1 Flash Image generation and edit
Match the prompt to the selected route. A text-to-image brief, reference edit and continuation request need different preservation instructions.
Writing composition, typography and edits
Image prompts become easier to evaluate when they describe a visual hierarchy: primary subject, supporting objects, depth layers, camera height, crop and reserved negative space. Use a small set of compatible material, palette and lighting instructions. Long adjective lists can create attractive images that do not solve the deliverable.
Put required copy in quotation marks, specify language, reading direction, position and priority, then inspect every character. Even a model with strong text rendering can misspell names, reorder numbers or invent microcopy. Critical packaging, legal, safety and UI text should be rebuilt or verified with conventional design tools.
For editing, name the target region and list invariants outside it. Ask for one controlled change per pass. This gives a clearer diagnosis than simultaneously changing subject identity, layout, material, lighting and text.
Troubleshooting Nano Banana 2 outputs
| Failure | Likely cause | Next prompt change |
|---|---|---|
| Weak focal point | Too many subjects have equal priority | Name one primary subject, assign positions to supporting objects and remove decorative details. |
| Reference identity drifts | Reference roles conflict | Move identity preservation first, give each reference one job and reduce style pressure on protected details. |
| Unrelated areas change | Target region or invariants are vague | Name the marked region, list everything that must remain fixed and request one edit per pass. |
| Output looks artificial | Camera, light or material cues conflict | Choose one lens perspective, one motivated light source and physically plausible surface behavior. |
| Hands or geometry fail | Pose or object relationships are underspecified | Specify pose, contact points, object count, scale and the exact geometry that must remain stable. |
| Text or facts are wrong | The model is being asked to invent copy or evidence | Supply approved concise copy, quote it exactly, remove invented statistics and complete a factual review after generation. |
Before generation
- Confirm the selected model, route and documented modality.
- Define one deliverable, audience and acceptance test.
- Use rights-cleared references with explicit roles.
- Separate protected facts from creative choices.
- State aspect ratio, safe area and downstream edit needs.
- Save the prompt, references, settings and model version.
After generation
- Check prompt adherence and the primary hierarchy.
- Inspect identity, anatomy, geometry, physics and continuity.
- Verify every word, number, quotation and factual visual.
- Review consent, copyright, trademark and disclosure needs.
- Confirm export, watermark and commercial-use terms.
- Record why the selected output passed the brief.
Frequently asked questions
Does a longer Nano Banana 2 prompt always perform better?
No. Add detail that resolves ambiguity, not decorative repetition. A shorter prompt with a clear subject, spatial plan, reference role and acceptance test is often easier to iterate than a long list of conflicting style terms.
Should negative prompts contain every possible defect?
No. Use constraints that protect the brief—identity, object count, approved copy, layout, motion direction or rights. A generic defect list can compete with the positive instructions and makes diagnosis harder.
How should Nano Banana 2 be compared with another model?
Hold the deliverable, prompt structure, references and acceptance test constant. Compare usable-output rate, adherence, revision time, continuity, rights fit and cost per approved asset rather than selecting the most visually dramatic first result.
Does this guide confirm access inside Krea AI 2.0 Beta?
No. It explains an independent workflow based on the recorded model capabilities and linked developer source. Check Krea AI 2.0 Beta and the model developer for current availability, controls, pricing and terms.
Sources and related workflows
Verify current facts at the official Google source. The examples above are original production prompts written for this independent Krea AI 2.0 Beta guide.
Continue with the model directory, Nano Banana 2 capability guide, tutorial, broader guide, and pricing notes.
Independent editorial guide. Not affiliated with or endorsed by Google or the referenced brand.