Nano Banana 2 AI Image Generator
Move quickly from references to usable directions with thoughtful composition, optional search grounding, consistent edits, and 4K output.
5/image
Drop in an image and get a usable direction quickly
Start from what already exists, then ask for a focused visual transformation.
01
Color anime line art
Preserve the original drawing while adding controlled color, light, surface detail, and atmosphere.
02
AI virtual try-on
Combine a person and garment reference while preserving pose, fabric pattern, and the product silhouette.
03
Anime character to real portrait
Translate a drawn character into a photographic subject while retaining hair, wardrobe, palette, and recognizable identity cues.
One reference, several production-ready routes
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Direction 1
Complete character reference sheet
Expand one character image into a coordinated sheet with views, expressions, costume details, and props.
Home / Nano Banana 2
Nano Banana 2 AI image generation with Thinking, search grounding, and 4K output
Built on Gemini 3.1 Flash Image, Nano Banana 2 is tuned for fast everyday generation and reference-led editing. It is useful when the goal is to explore several directions, combine multiple visual inputs, and iterate without rebuilding the brief each time.
- Plan composition before rendering scattered reference elements.
- Generate clearer labels, posters, packaging, and signage.
- Use optional search grounding for current visual references.
- Carry character appearance across sequential story panels.
Think first, then make the edit
01
Thinking-based composition
Bring several references together, plan spatial emphasis, and resolve them into one coherent scene instead of a loose collage.
02
Clearer poster and brand text
Write the exact copy and describe hierarchy, shape, and placement for logos, labels, posters, and information graphics.
03
Optional Google search grounding
Use current visual information when a prompt benefits from a real species, place, object, or contemporary reference.
04
Continuous stories and comics
Keep the same face, wardrobe, and visual identity across a sequence while changing action, framing, and environment.
Nano Banana, Nano Banana 2, and GPT Image 2
| Capability | Nano Banana | Nano Banana 2 | GPT Image 2 |
|---|---|---|---|
| Best for | Simple fast generations | Rapid multi-reference iteration | Structured final design |
| Output resolution | Up to 1K | 1K / 2K / 4K | 1K / 2K |
| Reference capacity | 3 images | Up to 14 inputs | Multiple references |
| Aspect ratios | Standard formats | 14 formats, including extreme ratios | Standard formats |
| Text rendering | Basic | Clear posters and infographics | Highest final-layout control |
| Search grounding | No | Text and image search | No |
| Thinking mode | No | Supported | Deep prompt reasoning |
Use Nano Banana 2 to find the direction quickly. Move to GPT Image 2 when final typography and structured layout need more deliberate control.
Nano Banana 2 FAQ
What is Nano Banana 2?
It is a fast image generation and editing model built on Gemini 3.1 Flash Image for prompt-based and reference-led workflows.
How many reference images can I use?
The model supports multiple references for people, objects, style, composition, and character guidance.
Can it generate images with text?
Yes. Give the exact wording and describe the hierarchy, placement, and visual treatment you need.
Can I generate without a reference?
Yes. Start with text only, or add references when you need stronger control over identity, composition, or style.
Does it add a watermark?
Generated results are returned through the workspace without an added GPTImagine visual watermark.
How is it related to the Google model?
Nano Banana 2 is the product-facing name used here for a Gemini 3.1 Flash Image generation workflow.
How should I choose between Nano Banana 2 and GPT Image 2?
Use Nano Banana 2 for fast exploration and iterative edits. Use GPT Image 2 when dense typography or final structured design is the priority.
Can the thinking level be adjusted?
The workspace exposes a focused generation flow; deeper reasoning behavior is handled by the model and prompt structure.
Can it translate text inside an image?
Use the existing image as a reference and specify the source copy, target language, and what visual details must remain unchanged.
Start from a reference and move faster.
Explore the composition, edit the detail, and keep the next iteration connected to the same visual direction.