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Google / Nano Banana 2 Lite

nano-banana-2-lite

Text-to-image and reference image editing

Text to imageImage to imageStandard outputUp to 10 reference images
Run with API
PlaygroundPricingAPIOverviewFAQ

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Prompt:

auto

1:1

1:4

1:8

2:3

3:2

3:4

4:1

4:3

4:5

5:4

8:1

9:16

16:9

21:9

Model:

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Scene Examples 1

Transparent customer pricing

Price by mode and output

Credits are charged from the same Studio and API wallet. USD estimates below use $9.90 Mini Pack; larger packs or promotions can lower your effective cash cost.

ModeConfigurationCreditsEstimated USD
Text to imageStandard output2$0.05
Image to imageStandard output2$0.05
Modes
Text to image, image to image
Resolution
Standard
Aspect ratios
1:1, 1:4, 1:8, 2:3, 3:2, 3:4, 4:1, 4:3, 4:5, 5:4, 8:1, 9:16, 16:9, 21:9, auto
Reference images
Up to 10

One task API

Build with Nano Banana 2 Lite

Create a task, keep the returned task ID, then poll recordInfo until the result is ready. The AI-ready page includes exact model pricing so an assistant can estimate your product cost.

Get an API key
POST /api/v1/jobs/createTask
{
  "model": "nano-banana-2-lite",
  "inputs": {
    "prompt": "A cinematic product photograph on a clean studio background",
    "aspectRatio": "1:1"
  }
}

Model guide · Google

What is Nano Banana 2 Lite?

Nano Banana 2 Lite is an image model from Google. In practical terms, the Nano Banana family combines prompt-based image creation with flexible reference-image editing for rapid visual iteration. Text-to-image and reference image editing.

On I2V, Nano Banana 2 Lite supports Text to image, image to image. Available output options include Standard, with aspect-ratio behavior shown as 1:1, 1:4, 1:8, 2:3, 3:2, 3:4, 4:1, 4:3, 4:5, 5:4, 8:1, 9:16, 16:9, 21:9, auto. The same public model ID and credit balance work in Studio and through the task API.

What Nano Banana 2 Lite can do

Input workflows

Nano Banana 2 Lite exposes Text to image, image to image. The model-locked Studio form only shows controls that apply to this model.

Output control

Configured output resolution: Standard. Supported aspect-ratio behavior: 1:1, 1:4, 1:8, 2:3, 3:2, 3:4, 4:1, 4:3, 4:5, 5:4, 8:1, 9:16, 16:9, 21:9, auto.

Reference-led creation

Use up to 10 reference images where the selected mode accepts visual input.

Best uses for Nano Banana 2 Lite

Campaign and social visuals

Turn a written concept into art direction, launch graphics, thumbnails, and social assets without changing tools.

Product and brand exploration

Test compositions, backgrounds, materials, lighting, and visual directions before committing to production.

Reference-guided iteration

Use existing images when the subject, layout, style, or product identity needs to carry into a new result.

When to choose Nano Banana 2 Lite

Choose this model for a flexible generate-and-edit workflow. Compare the family variants when output resolution, reference limits, or credit cost is the deciding factor. I2V shows the exact valid configurations before you run the task, so model selection can be based on both capability and cost.

Nano Banana 2 Lite FAQ

What is Nano Banana 2 Lite?+

Nano Banana 2 Lite is a Google image model available in I2V Studio and through the I2V task API. It supports Text to image, image to image.

What inputs and outputs does Nano Banana 2 Lite support?+

Nano Banana 2 Lite supports Text to image, image to image. Output resolution is Standard, with aspect-ratio behavior listed as 1:1, 1:4, 1:8, 2:3, 3:2, 3:4, 4:1, 4:3, 4:5, 5:4, 8:1, 9:16, 16:9, 21:9, auto. The live form is restricted to valid options for this model.

How much does Nano Banana 2 Lite cost on I2V?+

Nano Banana 2 Lite starts at 2 credits ($0.05 using the current Mini Pack reference) for Text to image, Standard output. The pricing table lists other valid configurations.

Can I use Nano Banana 2 Lite through an API?+

Yes. Use the public model ID nano-banana-2-lite with POST /api/v1/jobs/createTask, then poll GET /api/v1/jobs/recordInfo until the task succeeds or fails. Studio and API share one credit balance.

Keep exploring

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