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Nano Banana 2 Lite Reference-to-image

Nano Banana 2 Lite (Gemini 3.1 Flash-Lite Image) is Google's fastest, most cost-efficient image model, turning a source video clip plus a natural-language prompt (and optionally up to 14 reference images) into brand-new still images at low latency.

$0.060per imageUnit inferred from image type (1.5× benchmark, snapshot 2026-09-14).
$0.60Ten outputs at the base tier. Larger sizes and premium quality tiers cost more.
Reference pricingBenchmark unit rate — no paid checkout or subscription on minimaxi.design. Prompt planning in Studio is free.
Nano Banana 2 Lite Reference-to-image sample output
Sample output · prompt: “The car sped along the road.”

What it does

Nano Banana 2 Lite Reference-to-image, in practice.

Nano Banana 2 Lite (Gemini 3.1 Flash-Lite Image, gemini-3.1-flash-lite-image) is Google's fastest and most cost-efficient image model in the Nano Banana family. This variant is driven by a source video clip plus a natural-language prompt: the model uses the video's context as a multimodal reference, extracts its visual themes and key moments, and synthesizes brand-new still images from them — all with the low latency that defines the Lite tier. It shares the underlying model with the text-to-image and edit variants — the difference is the input. Instead of a text prompt alone or a set of reference photos, you supply one video clip (and, optionally, up to 14 reference images) and describe the

  • Video as a visual reference — Turn footage into stills. The model analyzes video frames to understand subjects, scenes, and key events, then generates images grounded in that context. See Google's [video-to-image generation guide](https://ai.google.dev/gemini-api/docs/image-generation#video-to-image).
  • Flexible source input — Accepts a public YouTube URL or a direct HTTP video URL (up to 15 MB), with adjustable trim range and sampling FPS so you control which part of the clip is used.
  • Multimodal composition — Combine the video reference with up to 14 additional input images to blend subjects, transfer styles, or assemble scenes from multiple sources.
  • Strong character consistency — Preserves character identities and object fidelity drawn from the source video, so subjects stay recognizable.
  • Legible in-image text — Renders and localizes readable text directly within generated images for quick captioning and design work.
  • World knowledge — Understands scene structure and real-world context to keep generated frames coherent and plausible.

Product photo workspace

This page is a model reference. The workspace supports white backgrounds, scene changes, packaging text edits and model try-on using Qwen Image Edit.

Parameters

What you can set.

ParameterWhat it doesOptions
aspect_ratioThe aspect ratio of the generated media.auto 1:1 3:2 2:3 3:4 4:3 4:5 5:4 9:16 16:9 21:9 4:1
imagesList of URLs of input images for editing. The maximum number of images is 14.
promptThe positive prompt for the generation.
resolutionThe resolution of the output image.1k
thinking_levelControls the amount of internal reasoning the model performs before generating a response. Higher levels may improve quality on complex tasks but increase latency.default high minimal
video_clipsSource video clips to use as references for generation. Supports 1 video clip.
seedRandom seed. Does not guarantee determinism but may improve repeatability. -1 means a random seed will be used.default -1
top_pProbability threshold for top-p samplingdefault 0.95
temperatureCreativity allowed in the responses. Best results at default 1.0. Lower values may impact reasoning.default 1

Sample prompt

The prompt behind the sample.

The car sped along the road.
aspect_ratio: 16:9enable_base64_output: enable_sync_mode: resolution: 1kthinking_level: default

FAQ

Short answers.

How much does Nano Banana 2 Lite Reference-to-image cost?

List price starts at $0.060 per image at the base resolution; higher resolutions and longer durations cost more. Per-use pricing, no subscription. Model prices are reference prices. The prompt workspace is free during the period shown on the homepage; no automatic charges.

Is Nano Banana 2 Lite Reference-to-image good for e-commerce product photos?

It is an image-editing model, which is the core job here: background cleanup, relighting, inpainting, label or packaging text fixes and upscaling. Keep one instruction per pass so the product, logo and SKU details stay locked. Google's standard content policy applies.

What does Nano Banana 2 Lite Reference-to-image take as input?

It is a image editing model. Nano Banana 2 Lite (Gemini 3.1 Flash-Lite Image) is Google's fastest, most cost-efficient image model, turning a source video clip plus a natural-language prompt (and optionally up to 14 reference images) into brand-new still images at low latency.

How do I use Nano Banana 2 Lite Reference-to-image?

Upload the image and describe the edit narrowly. Inpainting, restyle, upscale and background work all do better with one instruction per pass than with a paragraph of changes. Register or sign in to edit product photos with Qwen Image Edit. Other models on this page are catalog references.

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Run Nano Banana 2 Lite Reference-to-image.

Register or sign in to edit product photos with Qwen Image Edit. Other models on this page are catalog references.

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