Nano Banana 2 - Edit

Nano Banana 2 is Google’s new state-of-the-art image generation and editing model

Pricing: $0.08/image. Endpoint: POST /v1/models/google/nano-banana-2/edit/runs.

Nano Banana 2 is Google’s new state-of-the-art image generation and editing model

Overview

• Endpoint: https://api.runflow.io/v1/models/google/nano-banana-2/edit/runs
• Model ID: google/nano-banana-2/edit
• Provider: Google
• License: commercial
• Last Updated: 2026-04-06

Pricing

• Base price: $0.08/image
• Note: Usage-based, per image

Nano Banana 2 - Edit API

Endpoint: POST /v1/models/google/nano-banana-2/edit/runs

Run the model

Python

import requests

response = requests.post(
    "https://api.runflow.io/v1/models/google/nano-banana-2/edit/runs",
    headers={"Authorization": "Bearer RUNFLOW_API_KEY"},
    json={
        "input": {
            "prompt": "Transform this stained glass window into a massive underwater aquarium...",
            "image_urls": [
                "https://public.runflow.io/images/models/google/nano-banana-pro/example-output-0.webp"
            ]
        },
        "callback_url": "https://your-server.com/webhook"
    },
)

data = response.json()
print(data)

Node.js

const response = await fetch(
  "https://api.runflow.io/v1/models/google/nano-banana-2/edit/runs",
  {
    method: "POST",
    headers: {
      "Authorization": "Bearer RUNFLOW_API_KEY",
      "Content-Type": "application/json",
    },
    body: JSON.stringify({
        "input": {
            "prompt": "Transform this stained glass window into a massive underwater aquarium...",
            "image_urls": [
                "https://public.runflow.io/images/models/google/nano-banana-pro/example-output-0.webp"
            ]
        },
        "callback_url": "https://your-server.com/webhook"
    }),
  }
);

const data = await response.json();
console.log(data);

cURL

curl -X POST https://api.runflow.io/v1/models/google/nano-banana-2/edit/runs \
  -H "Authorization: Bearer $RUNFLOW_API_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'JSON'
{
    "input": {
        "prompt": "Transform this stained glass window into a massive underwater aquarium...",
        "image_urls": [
            "https://public.runflow.io/images/models/google/nano-banana-pro/example-output-0.webp"
        ]
    },
    "callback_url": "https://your-server.com/webhook"
}
JSON

Request parameters

Parameter	Type	Required	Description
input	object	required	Model input parameters. See “Input schema” below.
callback_url	string | null	optional	Webhook URL - POSTed when the run reaches a terminal state.
metadata	object | null	optional	Arbitrary key-value pairs attached to the run.

Input schema

Field	Type	Required	Allowed values	Description
prompt	string	required	Any	The prompt for image editing.
aspect_ratio	string	optional	Any	The aspect ratio of the generated image. Supports extreme ratios: 4:1, 1:4, 8:1, 1:8.
enable_web_search	boolean	optional	Any	Enable web search for the image generation task. This will allow the model to use the latest information from the web to generate the image.
resolution	string	optional	0.5K, 1K, 2K, 4K	The resolution of the image to generate.
num_images	integer	optional	Any	The number of images to generate.
output_format	string	optional	jpeg, png, webp	The format of the generated image.
thinking_level	string	optional	Any	When set, enables model thinking with the given level (‘minimal’ or ‘high’) and includes thoughts in the generation. Omit to disable.
sync_mode	boolean	optional	Any	If True, the media will be returned as a data URI and the output data won’t be available in the request history.
safety_tolerance	string	optional	1, 2, 3, 4, 5, 6	The safety tolerance level for content moderation. 1 is the most strict (blocks most content), 6 is the least strict.
seed	integer	optional	Any	The seed for the random number generator.
image_urls	image_list	required	Any	The URLs of the images to use for image-to-image generation or image editing.
limit_generations	boolean	optional	Any	Experimental parameter to limit the number of generations from each round of prompting to 1. Set to True to to disregard any instructions in the prompt regarding the number of images to generate and ignore any intermediate images generated by the model. This may affect generation quality.

Output schema

Field	Type	Description
outputs	json	Unified output array - one entry per generated artifact with url/type/width/height/duration/etc.
model_data	json	Model-specific extra fields (prompt, description, actual_prompt, masks, etc.) keyed by field name.
nsfw_detected	json	true if the provider flagged output as NSFW, false if cleared, null if not checked.
seed	json	Deterministic seed used for generation, or null if the provider doesn’t return one.
timing	json	Provider timing info (inference_ms etc.), or null.

Callback payload

When you provide a callback_url, Runflow POSTs to it once the run reaches a terminal state.

Field	Type	Description
event	string	Event type: “run.completed”, “run.failed”, or “run.cancelled”.
run_id	string	The unique identifier of the run.
status	string	Terminal status: “succeeded”, “failed”, or “cancelled”.
output	object | null	The run output. Null if the run failed or was cancelled.
duration_ms	number | null	Total run duration in milliseconds.
created_at	string | null	ISO 8601 timestamp when the run was created.
completed_at	string | null	ISO 8601 timestamp when the run reached terminal state.
metadata	object | null	The metadata object passed at run creation, if any.

• Retries: 3 attempts with exponential backoff (1s, 2s). Retries on 5xx / network errors only.
• Headers: Runflow-Request-Id is always sent. Runflow-Signature is sent if a signing secret is configured.

Additional Resources

• Playground
• API Reference
• Documentation
• OpenAPI

Related

Browse all models

Browse the catalog.

Run lifecycle

Callbacks, polling, statuses.

Callbacks

Handle async results.

Pricing

How requests bill out.