> For the complete documentation index, see [llms.txt](https://xfigura.gitbook.io/xfigura-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://xfigura.gitbook.io/xfigura-docs/models/image-models/nano-banana-2-lite.md).

# Nano Banana 2 Lite

Fast, efficient image generation and straightforward edits with Google's Nano Banana 2 Lite.

**Nano Banana 2 Lite** is Google's efficiency-focused image model. In xFigura, it is shown as **Nano Banana Lite** and supports image generation and editing.

Google's model code is `gemini-3.1-flash-lite-image`. Use **Nano Banana 2 Lite** for the model's official name; the legacy Nano Banana model uses Gemini 2.5 Flash Image.

## Example uses

* Explore many visual directions before selecting one to refine
* Create simple campaign or social-image variations
* Make straightforward changes to a color, object, or background
* Produce concept images when turnaround time matters more than complex constraints

## Inputs and outputs

|                     | Supported                            |
| ------------------- | ------------------------------------ |
| Inputs              | Text prompts and images for editing  |
| Output              | Image                                |
| xFigura workflows   | Image generation and editing         |
| Provider resolution | 1K output; 2K and 4K are unsupported |

See Google's [Nano Banana 2 Lite model documentation](https://ai.google.dev/gemini-api/docs/models/gemini-3.1-flash-lite-image) for the underlying model's capabilities.

## Strengths

* Designed for low-latency, cost-efficient generation
* Suited to high-volume creative exploration and straightforward image edits
* A useful starting point for testing a clear, focused brief

## Limitations

* Google does not position Lite as the preferred model for complex multi-reference or repeated sequential edits
* Google Search grounding is unsupported
* Review text, identity, composition, and preserved details before using an output

These limits come from Google's [image-generation guide](https://ai.google.dev/gemini-api/docs/image-generation). Available node controls and input limits depend on the xFigura workflow.

## Choose within the Nano Banana family

| Model                                                                   | Start here when                                                                                              |
| ----------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------ |
| **Nano Banana 2 Lite**                                                  | You need fast concepting or straightforward edits at 1K                                                      |
| [Nano Banana 2.1](/xfigura-docs/models/image-models/nano-banana-2.1.md) | You need the updated model's text rendering, subject consistency, or image editing capabilities              |
| Nano Banana 2                                                           | You need a general-purpose balance of speed, image consistency, text rendering, and higher-resolution output |
| Nano Banana Pro                                                         | Your brief needs complex composition, reference-led work, or precise brand and text control                  |
| Nano Banana                                                             | You are continuing a workflow built around the legacy model                                                  |

## xFigura tip

Keep the first pass simple: name the subject, camera view, lighting, and one clear style. For an edit, state the change and the parts that must stay fixed. For briefs combining many references or demanding consistency requirements, consider Nano Banana 2.1 or Pro if available in your workflow.

## Credits and timing

Review the estimate in xFigura before running a job. Provider latency targets and API prices do not define the end-to-end time or credit cost of your xFigura workflow.

## Continue

[Compare image models](/xfigura-docs/models/image-models.md)