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Nano Banana Pro Image to Image

fal-ai/nano-banana-pro/edit
Nano Banana Pro (a.k.a Nano Banana 2) is Google's new state-of-the-art image generation and editing model
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About

Gemini 3 Pro Image is a text-to-image model that generates images from text descriptions.

1. Calling the API#

Install the client#

The client provides a convenient way to interact with the model API.

npm install --save @fal-ai/client

Setup your API Key#

Set FAL_KEY as an environment variable in your runtime.

export FAL_KEY="YOUR_API_KEY"

Submit a request#

The client API handles the API submit protocol. It will handle the request status updates and return the result when the request is completed.

import { fal } from "@fal-ai/client";

const result = await fal.subscribe("fal-ai/nano-banana-pro/edit", {
  input: {
    prompt: "make a photo of the man driving the car down the california coastline",
    image_urls: ["https://storage.googleapis.com/falserverless/example_inputs/nano-banana-edit-input.png", "https://storage.googleapis.com/falserverless/example_inputs/nano-banana-edit-input-2.png"]
  },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);

2. Authentication#

The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.

API Key#

In case your app is running in an environment where you cannot set environment variables, you can set the API Key manually as a client configuration.
import { fal } from "@fal-ai/client";

fal.config({
  credentials: "YOUR_FAL_KEY"
});

3. Queue#

Submit a request#

The client API provides a convenient way to submit requests to the model.

import { fal } from "@fal-ai/client";

const { request_id } = await fal.queue.submit("fal-ai/nano-banana-pro/edit", {
  input: {
    prompt: "make a photo of the man driving the car down the california coastline",
    image_urls: ["https://storage.googleapis.com/falserverless/example_inputs/nano-banana-edit-input.png", "https://storage.googleapis.com/falserverless/example_inputs/nano-banana-edit-input-2.png"]
  },
  webhookUrl: "https://optional.webhook.url/for/results",
});

Fetch request status#

You can fetch the status of a request to check if it is completed or still in progress.

import { fal } from "@fal-ai/client";

const status = await fal.queue.status("fal-ai/nano-banana-pro/edit", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
  logs: true,
});

Get the result#

Once the request is completed, you can fetch the result. See the Output Schema for the expected result format.

import { fal } from "@fal-ai/client";

const result = await fal.queue.result("fal-ai/nano-banana-pro/edit", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);

4. Files#

Some attributes in the API accept file URLs as input. Whenever that's the case you can pass your own URL or a Base64 data URI.

Data URI (base64)#

You can pass a Base64 data URI as a file input. The API will handle the file decoding for you. Keep in mind that for large files, this alternative although convenient can impact the request performance.

Hosted files (URL)#

You can also pass your own URLs as long as they are publicly accessible. Be aware that some hosts might block cross-site requests, rate-limit, or consider the request as a bot.

Uploading files#

We provide a convenient file storage that allows you to upload files and use them in your requests. You can upload files using the client API and use the returned URL in your requests.

import { fal } from "@fal-ai/client";

const file = new File(["Hello, World!"], "hello.txt", { type: "text/plain" });
const url = await fal.storage.upload(file);

Read more about file handling in our file upload guide.

5. Schema#

Input#

prompt string* required

The prompt for image editing.

num_images integer

The number of images to generate. Default value: 1

aspect_ratio Enum

The aspect ratio of the generated image. Default value: auto

Possible enum values: auto, 21:9, 16:9, 3:2, 4:3, 5:4, 1:1, 4:5, 3:4, 2:3, 9:16

output_format OutputFormatEnum

The format of the generated image. Default value: "png"

Possible enum values: jpeg, png, webp

sync_mode boolean

If True, the media will be returned as a data URI and the output data won't be available in the request history.

image_urls list<string>* required

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

resolution ResolutionEnum

The resolution of the image to generate. Default value: "1K"

Possible enum values: 1K, 2K, 4K

{
  "prompt": "make a photo of the man driving the car down the california coastline",
  "num_images": 1,
  "aspect_ratio": "auto",
  "output_format": "png",
  "image_urls": [
    "https://storage.googleapis.com/falserverless/example_inputs/nano-banana-edit-input.png",
    "https://storage.googleapis.com/falserverless/example_inputs/nano-banana-edit-input-2.png"
  ],
  "resolution": "1K"
}

Output#

images list<ImageFile>* required

The edited images.

description string* required

The description of the generated images.

{
  "images": [
    {
      "file_name": "nano-banana-multi-edit-output.png",
      "content_type": "image/png",
      "url": "https://storage.googleapis.com/falserverless/example_outputs/nano-banana-multi-edit-output.png"
    }
  ],
  "description": ""
}

Other types#

ImageFile#

url string* required

The URL where the file can be downloaded from.

content_type string

The mime type of the file.

file_name string

The name of the file. It will be auto-generated if not provided.

file_size integer

The size of the file in bytes.

width integer

The width of the image

height integer

The height of the image

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