Google Nano Banana 2
Faster high-fidelity image generation
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Leave empty for random
You can fill this in now — signing in happens when you run it, and your inputs come with you.
At a glance
- Developer
- Can do
- Text to image, Image to image
- Credits per run
- 8 credits
- Typical time
- ~100s
- Added
- 2026-08-11
Parameters
What the model takes. The form above is generated from exactly this list, and the API accepts the same field names.
| Parameter | Type | Default | Range / options |
|---|---|---|---|
image_urlsrequiredReference images (max 3) | Image upload | — | ≤ 3 |
promptPrompt | Long text | — | — |
aspect_ratioAspect ratio | Choice | auto | auto · 21:9 · 16:9 · 3:2 · 4:3 · 5:4 · 1:1 · 4:5 · 3:4 · 2:3 · 9:16 · 4:1 · 1:4 · 8:1 · 1:8 |
resolutionResolution | Choice | 1K | 0.5K · 1K · 2K · 4K |
num_imagesNumber of images | Choice | 1 | 1 · 2 · 3 · 4 |
seedSeed | Number | — | — |
Use it from the API
The same run, as a request. Send your API key as a bearer token; poll the returned request_uid until it is done.
curl -X POST https://api.wisaven.com/v1/ai/async/tasks \
-H "Authorization: Bearer $WISAVEN_API_KEY" \
-H "X-App-Id: wisaven" -H "Content-Type: application/json" \
-d '{
"model": "google-nano-banana-2",
"task": "text-to-image",
"input": {
"image_urls": "https://…",
"prompt": "your prompt here",
"aspect_ratio": "auto",
"resolution": "1K"
}
}'Questions
What can Google Nano Banana 2 do?
Text to image, Image to image. Fill in the parameters on this page to try it.
How many credits does Google Nano Banana 2 cost?
About 8 credits per run, charged at the platform's live price when you run it. One credit balance covers every workspace.
How long does it take?
Around 100 seconds; heavier settings or a queue take longer, and the page shows progress.
Do I need an account, and who owns the output?
Browsing and filling in the form need no account; running it does (new accounts start with free credits). What you generate is yours, personally or commercially, subject to the terms.
Other models like this
Where this model is used: Image·All models