google/nano-banana-lite/edit
Nano Banana Lite Edit is Google's intelligent image editing model. Transform, retouch, and reimagine existing images using text prompts - from background replacement to artistic style conversion.
PNG, JPEG, WebP, or GIF · 20 MiB maximum each
Example output — click Run to generate your own
Send your first request
OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/rungoogle/nano-banana-lite/editInput Schema
7 parameters · 1 required · 6 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
prompt | string | Required | The prompt for image editing. · Min length: 3 · Max length: 50000 |
seed | integer | Optional | The seed for the random number generator. |
images | string[] | Optional | The URLs of the images to use for image-to-image generation or image editing. |
aspect_ratio | string | Optional | The aspect ratio of the generated image. · Options: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16 21:916:93:24:35:41:14:53:42:39:16 |
output_format | string | Optional | The format of the generated image. · Options: jpeg, png · Default: "png" jpegpng |
system_prompt | string | Optional | Optional system instruction that steers the model's persona and output style across the request. Leave blank to omit; when provided, it is sent as the system instruction to Gemini (or as a system message on OpenAI-compatible providers). · Max length: 50000 · Default: "" |
thinking_level | string | Optional | When set, enables model thinking with the given level ('minimal' or 'high') and includes thoughts in the generation. Omit to disable. · Options: minimal, high minimalhigh |
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
Async Workflow
This model uses asynchronous execution. Submit a request and poll for the result.
- Submit — POST to /v1/run, receive an
id - Poll — GET /v1/run/{id} until status is
completed,failed, ortimeout - Retrieve — Read
outputsfrom the completed response
Code Examples
Ready-to-run snippets
# Step 1: Submit
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "google/nano-banana-lite/edit",
"images": [
"https://static.sandbase.ai/examples/google/nano-banana-lite/edit/input_images_0.png",
"https://static.sandbase.ai/examples/google/nano-banana-lite/edit/input_images_1.png"
],
"prompt": "make a photo of the man driving the car down the california coastline",
"output_format": "png",
"system_prompt": ""
}'
# Step 2: Poll result (replace <id>)
curl https://api.sandbase.ai/v1/run/<id> \
-H "Authorization: Bearer YOUR_API_KEY"API README
Nano Banana Lite Edit
google/nano-banana-lite/edit edits supplied imagery from natural-language instructions while retaining requested subjects, composition, and recognizable visual details. Its multimodal visual understanding connects the written request to the source or intended scene, allowing practical creative changes without a long sequence of manual operations. This combination makes the model a practical choice when the creative outcome depends on those qualities rather than on a generic media conversion.
For production work with google/nano-banana-lite/edit, the edit workflow is useful for product variations, localized graphics, style changes, cleanup, and composition updates when an existing asset must remain the creative foundation. The result is most reliable when the source material and creative brief clearly describe the intended subject, progression, visual or sonic character, and the qualities that must remain unchanged.
Highlights
Instruction-led editing changes selected content, style, lighting, or layout without rebuilding everything.
Source preservation retains requested subjects, identity, composition, and important visual details.
Reference-aware synthesis incorporates information from supplied imagery into the revised result.
Fast iterative revision supports repeated creative changes and comparison at lightweight cost.
Pricing
| Billing unit | Price |
|---|---|
| Per request | $0.048375 |
When to Use
| ✅ Good fit | ❌ Consider alternatives |
|---|---|
| The model's named workflow matches the source material and intended output | A different input modality or model route is required |
| A managed asynchronous result is suitable for the production pipeline | A synchronous, interactive editor is essential |
| The documented controls cover the required duration, framing, or format | The project needs controls outside this endpoint's schema |
| Creative iteration benefits from a repeatable request structure | Exact deterministic pixels, frames, geometry, or samples are mandatory |
| A finished downloadable media asset is the desired deliverable | Editable source layers or a native project file are required |
Prompt Guide
For generation, state the intended result first, then add the subject or source treatment, progression, style, and delivery constraints. Keep one creative variable per phrase, use the documented field names for controls, and change one setting at a time when comparing results.
{
"aspect_ratio": "21:9",
"images": [
"https://static.sandbase.ai/examples/google/nano-banana-lite/edit/input_images_0.png"
],
"output_format": "png",
"prompt": "make a photo of the man driving the car down the california coastline"
}
Technical Specs
| Spec | Value |
|---|---|
| Model ID | google/nano-banana-lite/edit |
| Inputs | aspect_ratio, images, output_format, prompt, seed, system_prompt, thinking_level |
| Required inputs | prompt |
| Output fields | content_type, url |
| Execution | Async (submit, then poll for result) |
| Aspect Ratio | 21:9 / 16:9 / 3:2 / 4:3 / 5:4 / 1:1 / 4:5 / 3:4 / 2:3 / 9:16 |
| Output Format | jpeg / png |