Firered Image Edit | Image to Image

fal-ai/firered-image-edit

FireRed Image Edit is FireRed's state of the art open source editing model, re-trained from Qwen Image Edit 2509.

Inference

Commercial use

Schema

LLMs

Playground API

About

Edit images using FireRed-Image-Edit, a high-fidelity instruction-based image editing model.

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/firered-image-edit", {
  input: {
    prompt: "Move the whirling dervishes to this colorful room",
    image_urls: ["https://v3b.fal.media/files/b/0a8ed7f7/ElaLDgkUJiEazYH90eqJ3.jpg", "https://v3b.fal.media/files/b/0a8ed7f9/4keTvi5q_yV4pCIUzAyFR.jpg"]
  },
  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/firered-image-edit", {
  input: {
    prompt: "Move the whirling dervishes to this colorful room",
    image_urls: ["https://v3b.fal.media/files/b/0a8ed7f7/ElaLDgkUJiEazYH90eqJ3.jpg", "https://v3b.fal.media/files/b/0a8ed7f9/4keTvi5q_yV4pCIUzAyFR.jpg"]
  },
  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/firered-image-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/firered-image-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);

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 editing instruction describing what changes to make to the image. Supports both English and Chinese instructions.

image_size ImageSize | Enum

The size of the generated image. If None, uses the input image dimensions.

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_inference_steps integer

The number of inference steps to perform. More steps generally produce higher quality results. Default value: 30

seed integer

The same seed and the same prompt given to the same version of the model will output the same image every time.

guidance_scale float

Classifier-free guidance scale. Higher values make the model follow the prompt more closely. Default value: 4

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.

num_images integer

The number of images to generate. Default value: 1

enable_safety_checker boolean

If set to true, the safety checker will be enabled. Default value: true

output_format OutputFormatEnum

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

Possible enum values: jpeg, png

image_urls list<string>* required

The URLs of the images to edit. Supports single image editing and multi-image references (e.g., virtual try-on, style transfer from reference).

negative_prompt string

The negative prompt for the generation. Default value: ""

acceleration AccelerationEnum

The acceleration level to use for inference speed optimization. Default value: "regular"

Possible enum values: none, regular, high

{
  "prompt": "Move the whirling dervishes to this colorful room",
  "image_size": {
    "height": 768,
    "width": 1536
  },
  "num_inference_steps": 30,
  "guidance_scale": 4,
  "num_images": 1,
  "enable_safety_checker": true,
  "output_format": "png",
  "image_urls": [
    "https://v3b.fal.media/files/b/0a8ed7f7/ElaLDgkUJiEazYH90eqJ3.jpg",
    "https://v3b.fal.media/files/b/0a8ed7f9/4keTvi5q_yV4pCIUzAyFR.jpg"
  ],
  "acceleration": "regular"
}

Output#

images list<Image>* required

The edited image files info.

timings Timings* required

seed integer* required

Seed of the generated Image. It will be the same value of the one passed in the input or the randomly generated that was used in case none was passed.

has_nsfw_concepts list<boolean>* required

Whether the generated images contain NSFW concepts.

prompt string* required

The prompt used for generating the image.

{
  "images": [
    {
      "height": 768,
      "content_type": "image/jpeg",
      "url": "https://v3b.fal.media/files/b/0a8ed7fa/pHsp1KWzqkNNYfAcZ_bkY.jpg",
      "width": 1376
    }
  ],
  "prompt": ""
}

Other types#

ImageSize#

width integer

The width of the generated image. Default value: 512

height integer

The height of the generated image. Default value: 512

Image#

url string* required

width integer* required

height integer* required

content_type string

Default value: "image/jpeg"

Firered Image Edit 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#

ImageSize#

Image#