> ## Documentation Index
> Fetch the complete documentation index at: https://dripart-chore-sync-comfy-api-v2-spec.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Nano Banana 2 Lite: Fast AI Image Generation

> Generate images at Google's fastest speed and lowest cost using Nano Banana 2 Lite, the Gemini 3.1 Flash-Lite Image model in ComfyUI

Nano Banana 2 Lite is Google DeepMind's fastest and most cost-efficient Gemini Image model, designed for rapid ideation and high-volume workflows. Powered by `gemini-3.1-flash-lite-image`, it delivers text-to-image generation in approximately 4 seconds at \$0.041 per image, making it ideal for quick concept visualization, rapid prototyping, and iterative design exploration.

## What Nano Banana 2 Lite is good at

* **Ultra-fast generation**: Text-to-image outputs in as little as 4 seconds, built for interactive prototyping and rapid visual drafting
* **Cost-efficient**: Priced at \$0.041 per 1K-resolution image, the most affordable option in the Nano Banana family
* **Character consistency**: Maintain character identities and object fidelity across multiple rapid generations
* **In-image text rendering**: Draft copy and render legible text directly into generated images for localized ad variations
* **Configurable model selection**: Choose between Nano Banana 2 Lite, Nano Banana 2, and Nano Banana Pro within the same node

## Example outputs

Text-to-image generation from a single prompt:

![Nano Banana 2 Lite Text to Image](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/output/api_nano_banana_2_lite_t2i.png)

Image editing from a text instruction:

![Nano Banana 2 Lite Image Edit - Output](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/main/output/api_nano_banana_2_lite_image_edit.png)

## Use it in ComfyUI

<Card title="Nano Banana 2 Lite workflows" icon="diagram-project" href="/tutorials/partner-nodes/google/nano-banana-2-lite/workflow">
  Run the text-to-image and image edit workflows in ComfyUI, locally or on Comfy Cloud
</Card>
