Nano Banana Pro Edit

curl -X POST "https://api.runpod.ai/v2/nano-banana-pro-edit/runsync" \
  -H "Authorization: Bearer $RUNPOD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input": {
      "prompt": "Combine these images into a cohesive scene with consistent lighting",
      "images": [
        "https://example.com/image1.jpg",
        "https://example.com/image2.jpg",
        "https://example.com/image3.jpg"
      ],
      "resolution": "2k",
      "aspect_ratio": "16:9",
      "enable_safety_checker": true
    }
  }'

import requests

response = requests.post(
    "https://api.runpod.ai/v2/nano-banana-pro-edit/runsync",
    headers={
        "Authorization": f"Bearer {RUNPOD_API_KEY}",
        "Content-Type": "application/json",
    },
    json={
        "input": {
            "prompt": "Combine these images into a cohesive scene with consistent lighting",
            "images": [
                "https://example.com/image1.jpg",
                "https://example.com/image2.jpg",
                "https://example.com/image3.jpg",
            ],
            "resolution": "2k",
            "aspect_ratio": "16:9",
            "enable_safety_checker": True,
        }
    },
)

result = response.json()
print(result["output"]["image_url"])

const response = await fetch(
  "https://api.runpod.ai/v2/nano-banana-pro-edit/runsync",
  {
    method: "POST",
    headers: {
      Authorization: `Bearer ${RUNPOD_API_KEY}`,
      "Content-Type": "application/json",
    },
    body: JSON.stringify({
      input: {
        prompt: "Combine these images into a cohesive scene with consistent lighting",
        images: [
          "https://example.com/image1.jpg",
          "https://example.com/image2.jpg",
          "https://example.com/image3.jpg",
        ],
        resolution: "2k",
        aspect_ratio: "16:9",
        enable_safety_checker: true,
      },
    }),
  }
);

const result = await response.json();
console.log(result.output.image_url);

{
  "id": "sync-a1b2c3d4-e5f6-7890-abcd-ef1234567890-u1",
  "status": "COMPLETED",
  "delayTime": 25,
  "executionTime": 8432,
  "output": {
    "image_url": "https://image.runpod.ai/abc123/output.png",
    "cost": 0.14
  }
}

Nano Banana Pro Edit is Google’s advanced image editing model that excels at combining multiple source images into a cohesive output. It supports up to 14 reference images and offers multiple resolution options for flexible output quality.

Try in playground

Test Nano Banana Pro Edit in the Runpod Hub playground.


Endpoint	`https://api.runpod.ai/v2/nano-banana-pro-edit/runsync`
Pricing	$0.14–$0.24 per image
Type	Image editing

Request

All parameters are passed within the input object in the request body.

string

required

Editing instructions describing the desired transformation or how to combine the images.

array

required

Array of image URLs to edit or combine. Supports up to 14 images.

string

default:"2k"

Output resolution. Options: 1k, 2k, 4k.

string

default:"1:1"

Output aspect ratio. Options: 1:1, 3:2, 2:3, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9.

string

default:"png"

Output image format. Options: png, jpeg.

boolean

default:"true"

Enable content safety checking.

curl -X POST "https://api.runpod.ai/v2/nano-banana-pro-edit/runsync" \
  -H "Authorization: Bearer $RUNPOD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input": {
      "prompt": "Combine these images into a cohesive scene with consistent lighting",
      "images": [
        "https://example.com/image1.jpg",
        "https://example.com/image2.jpg",
        "https://example.com/image3.jpg"
      ],
      "resolution": "2k",
      "aspect_ratio": "16:9",
      "enable_safety_checker": true
    }
  }'

import requests

response = requests.post(
    "https://api.runpod.ai/v2/nano-banana-pro-edit/runsync",
    headers={
        "Authorization": f"Bearer {RUNPOD_API_KEY}",
        "Content-Type": "application/json",
    },
    json={
        "input": {
            "prompt": "Combine these images into a cohesive scene with consistent lighting",
            "images": [
                "https://example.com/image1.jpg",
                "https://example.com/image2.jpg",
                "https://example.com/image3.jpg",
            ],
            "resolution": "2k",
            "aspect_ratio": "16:9",
            "enable_safety_checker": True,
        }
    },
)

result = response.json()
print(result["output"]["image_url"])

const response = await fetch(
  "https://api.runpod.ai/v2/nano-banana-pro-edit/runsync",
  {
    method: "POST",
    headers: {
      Authorization: `Bearer ${RUNPOD_API_KEY}`,
      "Content-Type": "application/json",
    },
    body: JSON.stringify({
      input: {
        prompt: "Combine these images into a cohesive scene with consistent lighting",
        images: [
          "https://example.com/image1.jpg",
          "https://example.com/image2.jpg",
          "https://example.com/image3.jpg",
        ],
        resolution: "2k",
        aspect_ratio: "16:9",
        enable_safety_checker: true,
      },
    }),
  }
);

const result = await response.json();
console.log(result.output.image_url);

Response

string

Unique identifier for the request.

string

Request status. Returns COMPLETED on success, FAILED on error.

object

The generation result containing the image URL and cost.

string

URL of the edited/combined image. This URL expires after 7 days.

float

Cost of the generation in USD.

{
  "id": "sync-a1b2c3d4-e5f6-7890-abcd-ef1234567890-u1",
  "status": "COMPLETED",
  "delayTime": 25,
  "executionTime": 8432,
  "output": {
    "image_url": "https://image.runpod.ai/abc123/output.png",
    "cost": 0.14
  }
}

Image URLs expire after 7 days. Download and store edited images immediately if you need to keep them.

Cost calculation

Nano Banana Pro Edit charges based on resolution:

Resolution	Cost
1k	$0.14
2k	$0.14
4k	$0.24

Last modified on October 5, 2026

curl -X POST "https://api.runpod.ai/v2/nano-banana-pro-edit/runsync" \
  -H "Authorization: Bearer $RUNPOD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input": {
      "prompt": "Combine these images into a cohesive scene with consistent lighting",
      "images": [
        "https://example.com/image1.jpg",
        "https://example.com/image2.jpg",
        "https://example.com/image3.jpg"
      ],
      "resolution": "2k",
      "aspect_ratio": "16:9",
      "enable_safety_checker": true
    }
  }'

import requests

response = requests.post(
    "https://api.runpod.ai/v2/nano-banana-pro-edit/runsync",
    headers={
        "Authorization": f"Bearer {RUNPOD_API_KEY}",
        "Content-Type": "application/json",
    },
    json={
        "input": {
            "prompt": "Combine these images into a cohesive scene with consistent lighting",
            "images": [
                "https://example.com/image1.jpg",
                "https://example.com/image2.jpg",
                "https://example.com/image3.jpg",
            ],
            "resolution": "2k",
            "aspect_ratio": "16:9",
            "enable_safety_checker": True,
        }
    },
)

result = response.json()
print(result["output"]["image_url"])

const response = await fetch(
  "https://api.runpod.ai/v2/nano-banana-pro-edit/runsync",
  {
    method: "POST",
    headers: {
      Authorization: `Bearer ${RUNPOD_API_KEY}`,
      "Content-Type": "application/json",
    },
    body: JSON.stringify({
      input: {
        prompt: "Combine these images into a cohesive scene with consistent lighting",
        images: [
          "https://example.com/image1.jpg",
          "https://example.com/image2.jpg",
          "https://example.com/image3.jpg",
        ],
        resolution: "2k",
        aspect_ratio: "16:9",
        enable_safety_checker: true,
      },
    }),
  }
);

const result = await response.json();
console.log(result.output.image_url);

{
  "id": "sync-a1b2c3d4-e5f6-7890-abcd-ef1234567890-u1",
  "status": "COMPLETED",
  "delayTime": 25,
  "executionTime": 8432,
  "output": {
    "image_url": "https://image.runpod.ai/abc123/output.png",
    "cost": 0.14
  }
}

Image models

Video models

Text models

Audio models

Try in playground

Request

Response

Cost calculation