Nano Banana Lite Edit

Name: Nano Banana Lite Edit
Author: Google

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.

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Base price: $0.05USD / run
Execution: async
Model type: image
Input fields: 7

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Playground

Open playground

Input

Prompt(string)

The prompt for image editing.

Image URL or upload(array)

Upload

PNG, JPEG, WebP, or GIF · 20 MiB maximum each

The URLs of the images to use for image-to-image generation or image editing.

Output Format(string)

The format of the generated image. Allowed values: jpeg, png.

System Prompt(string)

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).

Thinking Level(string)

When set, enables model thinking with the given level ('minimal' or 'high') and includes thoughts in the generation. Omit to disable. Allowed values: minimal, high.

Aspect Ratio(string)

The aspect ratio of the generated image. Allowed values: 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16.

Seed(integer)

The seed for the random number generator.

OutputReady

Your output will appear here

Complete the inputs, then click Run.

Specifications

Pricing

Base price: $0.05 / run

Context & modalities

Input: Schema-defined
Output: image

Capabilities

Chat: Not supported
Vision: Not supported
Reasoning: Not supported
Structured output: Not supported
Function calling: Not supported
Audio input: Not supported

Access

Provider: Google
Model ID: google/nano-banana-lite/edit
Execution: async
API: Unified Run API
Endpoint: /v1/run

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

Related Models

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OpenAI-compatible endpoint with unified authentication and usage tracking.

Production API

Unified Run API endpoint

https://api.sandbase.ai/v1/run

Model ID

google/nano-banana-lite/edit

# The quoted heredoc keeps Unicode and shell metacharacters unchanged.
result=$(curl --fail-with-body --silent \
  -X POST "https://api.sandbase.ai/v1/run" \
  -H "Authorization: Bearer $SANDBASE_API_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'SANDBASE_JSON'
{
  "model": "google/nano-banana-lite/edit",
  "images": [
    "https://static.sandbase.ai/examples/google/nano-banana-lite/edit/input_images_0.png",
    "https://static.sandbase.ai/examples/google/nano-banana-lite/edit/input_images_1.png"
  ],
  "prompt": "make a photo of the man driving the car down the california coastline",
  "output_format": "png"
}
SANDBASE_JSON
)
run_id=$(printf '%s' "$result" | jq -r .id)
for attempt in $(seq 1 120); do
  status=$(printf '%s' "$result" | jq -r .status)
  case "$status" in completed|failed|timeout) break ;; esac
  sleep 2
  result=$(curl --fail-with-body --silent \
    -H "Authorization: Bearer $SANDBASE_API_KEY" \
    "https://api.sandbase.ai/v1/run/$run_id")
done
status=$(printf '%s' "$result" | jq -r .status)
[ "$status" = completed ] || { echo "Generation ended: $status" >&2; exit 1; }
printf '%s\n' "$result"

Choose your model

Compare models

All language models

Model	Context	Input / 1M	Output / 1M	Released
Nano Banana Lite EditThis model `Google`	—	—	—	Jun 30, 2026
Nano Banana 2 Lite `Google`	—	—	—	Jun 30, 2026
Nano Banana Lite `Google`	—	—	—	Jun 30, 2026
Nano Banana 2 Image Editing `Google`	—	—	—	Feb 26, 2026
Nano Banana 2 `Google`	—	—	—	Feb 26, 2026
Nano Banana Pro Image Editing `Google`	—	—	—	Nov 20, 2025