Complex image instructions
Describe subjects, composition, lighting, materials, labels, and constraints in one structured brief.
Generate or edit detailed images with Google’s Gemini 3 Pro Image model. Use text prompts, upload visual references, and choose the output settings currently supported by this platform.
This workspace keeps Nano Banana Pro selected so you can test the model without switching away from this page.
Generated content will appear here
Facts reviewed:
Nano Banana Pro is Google’s product name for Gemini 3 Pro Image. Google positions it for professional asset production and complex instructions, with image generation and editing, thinking, and Google Search grounding listed in its model documentation.
On this website, Nano Banana Pro is available through a focused online image generator and editor. Google defines the underlying model capabilities; this platform separately defines the controls exposed here, including supported aspect ratios, reference-upload limits, output sizes, and point estimates.
Choose this model when your brief has several visual constraints, readable in-image text, detailed layouts, product mockups, or fact-aware graphics. Generated details can still be incorrect, so names, figures, logos, labels, and factual diagrams should be checked before publication.
Capabilities below reflect Google’s documentation; available controls refer specifically to this platform.
Describe subjects, composition, lighting, materials, labels, and constraints in one structured brief.
Start from text alone or upload images to guide a new composition or targeted visual change.
Explore posters, menus, diagrams, and campaign layouts where legible text placement matters.
The current workspace exposes 1K, 2K, and 4K choices; point estimates update before submission.
Choose square, portrait, landscape, and ultrawide ratios supported by the current integration.
Upload references for products, characters, palettes, or composition while reviewing each output for drift.
Use multiple references to guide recurring characters, products, and visual systems across a set of assets.
Google documents Search grounding as a model capability for fact-aware visuals; its availability can depend on the integration and task.
Capabilities below reflect Google’s documentation; available controls refer specifically to this platform.
Explore polished hero concepts with defined art direction, copy space, and channel-specific framing.
Place a product reference into new environments while checking shape, labels, and packaging carefully.
Prototype information-rich visuals, then verify every fact and replace critical text in a design tool if needed.
Draft region-specific layouts and in-image language variants without assuming text will be error-free.
Create thumbnail, cover, presentation, and article concepts in the aspect ratio required by each channel.
Use reference images and explicit continuity notes to explore recurring characters across multiple scenes.
Use concrete constraints and treat each result as a draft that still needs review.
Control material, lighting, layout, and copy space.
Create a premium studio product photograph of a matte green travel bottle on pale limestone. Soft morning side light, realistic condensation, restrained shadows, wide negative space on the left for campaign copy, 4:5 composition, no visible brand logo.
Request a clear hierarchy and limited factual scope.
Design a clean vertical infographic explaining the four stages of a butterfly life cycle. Use four clearly separated panels, concise English labels, natural-history illustration, cream background, dark green headings, and accessible contrast.
Upload a source image before trying this editing brief.
Keep the uploaded product shape and camera angle unchanged. Replace the background with a quiet winter window scene, add soft blue-hour reflections, preserve label readability, and leave all product proportions intact.
One visual direction adapted into coordinated campaign formats.
Create a coordinated launch campaign for a premium skincare serum: 4:5 social visual, 16:9 web banner, and square retail tile. Keep the same bottle, ivory-and-amber palette, soft botanical shadow, and art direction. Reserve distinct copy areas for English and Traditional Chinese; do not render long paragraphs.
A polished information-led visual with spatial relationships.
Design an elegant illustrated visitor map for a compact waterfront arts district. Show five numbered venues, walking connections, ferry pier, green space, and a simple legend. Warm editorial palette, refined linework, clear hierarchy, landscape layout, no invented street names.
State the subject, scene, composition, lighting, visual style, required text, and anything that must not change.
Upload clear source images only when they materially guide identity, product shape, palette, or layout.
Select an aspect ratio and output size, then review the displayed point estimate before submitting.
Check text, anatomy, factual content, product details, and brand elements before iterating or downloading.
Model documentation describes what Gemini 3 Pro Image can support in Google’s APIs. Google documents up to 14 reference images for this model family, with separate object, character, and style-reference limits. This platform currently accepts up to 14 references, but its controls, availability, queue time, and point costs are independent and may change.
Image models may invent text, objects, citations, logos, or visual facts. Reference images improve direction but do not guarantee exact identity or geometry. Use human review and obtain appropriate rights for uploaded material and published outputs.
Google states that generated images include a SynthID watermark. Search grounding and the model’s internal thinking process can improve planning or factual context, but neither guarantees factual accuracy or a production-ready result.
Provider facts were checked against Google’s current documentation. Platform settings come from the live workspace configuration.
Compare Google’s general-purpose Flash image model on its dedicated model page.
02Open the verified GPT Image 2 generation and editing page.
03Compare the image models currently available on the platform.
04Start from an existing image and guide the transformation.
Return to the workspace with Nano Banana Pro selected by default, choose the settings you need, and review the result before using it.