Wan 2.5 Image to Image | Image to Image

fal-ai/wan-25-preview/image-to-image

Wan 2.5 image-to-image model.

Inference

Commercial use

Schema

LLMs

Playground API

About

Edit images using WAN 2.5 image-to-image model.

WAN 2.5 image editing features:

Subject-consistent image editing with text prompts
Multi-image fusion (combine elements from multiple images)
Image group generation
Resolution: Width and height between 384 and 5000 pixels
Up to 4 images per request
Processing time: 1-2 minutes

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

Migrate to @fal-ai/client

The @fal-ai/serverless-client package has been deprecated in favor of @fal-ai/client. Please check the migration guide for more information.

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/wan-25-preview/image-to-image", {
  input: {
    prompt: "Reimagine the scene under a raging thunderstorm at night: lightning forks across the sky, illuminating the samurai in stark flashes of white light.",
    image_urls: ["https://v3.fal.media/files/penguin/4VZ7I1ZK5XNv33LV2JBxg.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"
});

Protect your API Key

When running code on the client-side (e.g. in a browser, mobile app or GUI applications), make sure to not expose your FAL_KEY. Instead, use a server-side proxy to make requests to the API. For more information, check out our server-side integration guide.

3. Queue#

Long-running requests

For long-running requests, such as training jobs or models with slower inference times, it is recommended to check the Queue status and rely on Webhooks instead of blocking while waiting for the result.

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/wan-25-preview/image-to-image", {
  input: {
    prompt: "Reimagine the scene under a raging thunderstorm at night: lightning forks across the sky, illuminating the samurai in stark flashes of white light.",
    image_urls: ["https://v3.fal.media/files/penguin/4VZ7I1ZK5XNv33LV2JBxg.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/wan-25-preview/image-to-image", {
  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/wan-25-preview/image-to-image", {
  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);

Auto uploads

The client will auto-upload the file for you if you pass a binary object (e.g. File, Data).

Read more about file handling in our file upload guide.

5. Schema#

Input#

prompt string* required

The text prompt describing how to edit the image. Max 2000 characters.

image_urls list<string>* required

URLs of images to edit. For single-image editing, provide 1 URL. For multi-reference generation, provide up to 2 URLs. If more than 2 URLs are provided, only the first 2 will be used.

negative_prompt string

Negative prompt to describe content to avoid. Max 500 characters.

image_size ImageSize | Enum

The size of the generated image. Width and height must be between 384 and 5000 pixels. Default value: square

Possible enum values: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9

Note: For custom image sizes, you can pass the width and height as an object:

"image_size": {
  "width": 1280,
  "height": 720
}

num_images integer

Number of images to generate. Values from 1 to 4. Default value: 1

seed integer

Random seed for reproducibility. If None, a random seed is chosen.

{
  "prompt": "Reimagine the scene under a raging thunderstorm at night: lightning forks across the sky, illuminating the samurai in stark flashes of white light.",
  "image_urls": [
    "https://v3.fal.media/files/penguin/4VZ7I1ZK5XNv33LV2JBxg.png"
  ],
  "negative_prompt": "low resolution, error, worst quality, low quality, defects",
  "image_size": "square",
  "num_images": 1
}

Output#

images list<ImageFile>* required

The edited images

seeds list<integer>* required

The seeds used for each generated image

actual_prompt string

The original prompt (prompt expansion is not available for image editing)

{
  "images": [
    {
      "content_type": "image/png",
      "url": "https://v3.fal.media/files/rabbit/BM4J8xpV5ogtOQE9xGtft.png"
    }
  ],
  "seeds": [
    175932751
  ],
  "actual_prompt": "Reimagine the scene under a raging thunderstorm at night: lightning forks across the sky, illuminating the samurai in stark flashes of white light."
}

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.

file_data string

File data

width integer

The width of the image

height integer

The height of the image

ImageSize#

width integer

The width of the generated image. Default value: 512

height integer

The height of the generated image. Default value: 512

VideoFile#

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.

file_data string

File data

width integer

The width of the video

height integer

The height of the video

fps float

The FPS of the video

duration float

The duration of the video

num_frames integer

The number of frames in the video

Table of contents

1. Calling the API

2. Authentication

3. Queue

4. Files

5. Schema

About

1. Calling the API#

Install the client#

Migrate to @fal-ai/client

Setup your API Key#

Submit a request#

2. Authentication#

API Key#

Protect your API Key

3. Queue#

Long-running requests

Submit a request#

Fetch request status#

Get the result#

4. Files#

Data URI (base64)#

Hosted files (URL)#

Uploading files#

Auto uploads

5. Schema#

Input#

Output#

Other types#

ImageFile#

ImageSize#

VideoFile#

Related Models

Wan 2.5 Image to Image Image to Image

Table of contents

1. Calling the API

2. Authentication

3. Queue

4. Files

5. Schema

About

1. Calling the API#

Install the client#

Migrate to @fal-ai/client

Setup your API Key#

Submit a request#

2. Authentication#

API Key#

Protect your API Key

3. Queue#

Long-running requests

Submit a request#

Fetch request status#

Get the result#

4. Files#

Data URI (base64)#

Hosted files (URL)#

Uploading files#

Auto uploads

5. Schema#

Input#

Output#

Other types#

ImageFile#

ImageSize#

VideoFile#

Related Models