
4K product campaign image
Generate polished product visuals with crisp materials, controlled lighting, and production-ready composition.
Create fast 1K, 2K, and 4K images from prompts or references with the Nano Banana 2 Kie API workflow.
Nano Banana 2
Fast image generator and editor
Model
Nano Banana 2
Engine
Flash
Credits
20
Private generations are saved to your account history.

Try a prompt, choose a ratio, and generate.
Text-to-image works immediately. Image edit accepts up to 14 reference images for guided edits.
Nano Banana 2 is Google’s Gemini 3.1 Flash Image model available through Kie API. It focuses on fast image generation and editing with Pro-level quality, 4K output, improved reasoning, readable text, and strong consistency across reference images.




The page targets search intent around Nano Banana 2, Gemini 3.1 Flash Image, 4K image generation, text rendering, and reference-image editing.
Create product shots, posters, social graphics, avatars, and visual concepts quickly without giving up detail or prompt fidelity.
Upload references for style transfer, identity preservation, object changes, photo combinations, and guided visual remixing.
Use Nano Banana 2 for labels, posters, packaging, UI assets, and real-world subjects that need better reasoning and readable text.
Generate square, vertical, widescreen, and ultra-wide assets with 1K, 2K, and 4K controls for drafts or final production.
Example visuals for 4K product scenes, character consistency, text posters, and ultra-wide campaign banners.

Generate polished product visuals with crisp materials, controlled lighting, and production-ready composition.

Preserve subject identity while changing scenes, outfit direction, lighting, and visual mood across outputs.

Create poster-style visuals with readable headlines, supporting copy zones, and clean graphic hierarchy.

Use expanded ratios for website hero images, panoramic ads, launch banners, and presentation covers.
The workflow follows the expected creator path: write a prompt, upload optional references, choose output controls, generate, and download.
Describe the subject, real-world context, text needs, camera, lighting, style, and final asset format.
Switch to image edit for reference-guided workflows, then choose the ratio and 1K, 2K, or 4K output.
Wait for the Kie async task to complete, review the preview, then download the final PNG image.
Use this comparison to understand when Nano Banana 2 is the right fit for speed, cost, quality, and reference workflows.
| Feature | Nano Banana 2 | Nano Banana Pro | Nano Banana 3 |
|---|---|---|---|
| Primary role | Fast Gemini 3.1 Flash Image generation and editing | Higher-fidelity advanced reasoning workflows | Creator-facing generator and editor experience |
| Best fit | Rapid product, social, poster, and reference edits | Maximum quality and difficult composition briefs | Marketing pages, product visuals, storyboards |
| Inputs | Prompt plus up to 14 image references | Prompt plus optional image input | Prompt and reference-image editing |
| Output controls | 1K, 2K, 4K with many aspect ratios | 1K, 2K, 4K with Pro-level detail | Aspect ratio, resolution, PNG output |
Nano Banana 2 is Google’s Gemini 3.1 Flash Image model for fast image generation and editing with strong quality, text rendering, and reference-image workflows.
Yes. Switch to Image edit, upload reference images, write the edit prompt, and Nano Banana 2 will use them as visual guidance.
The Kie Nano Banana 2 API supports up to 14 input images, and this generator follows that limit.
Yes. The Kie API lists 1K, 2K, and 4K output controls for Nano Banana 2.
No. Nano Banana 2 focuses on Flash-speed generation with strong quality, while Nano Banana Pro is positioned for maximum fidelity and deeper reasoning.
Yes. Generating images consumes account credits, so the generator opens sign in when there is no active user session.
Use the generator above for fast product visuals, reference edits, text posters, character consistency tests, and production-ready image concepts.
Open Nano Banana 2 generator