Bytedance | Image to Image

fal-ai/bytedance/seedream/v4/edit

A new-generation image creation model ByteDance, Seedream 4.0 integrates image generation and image editing capabilities into a single, unified architecture.

Inference

Commercial use

Partner

Schema

LLMs

Playground API

About

Edit images using Bytedance's SeedDream 4 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/bytedance/seedream/v4/edit", {
  input: {
    prompt: "Dress the model in the clothes and shoes.",
    image_urls: ["https://storage.googleapis.com/falserverless/example_inputs/seedream4_edit_input_1.png", "https://storage.googleapis.com/falserverless/example_inputs/seedream4_edit_input_2.png", "https://storage.googleapis.com/falserverless/example_inputs/seedream4_edit_input_3.png", "https://storage.googleapis.com/falserverless/example_inputs/seedream4_edit_input_4.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/bytedance/seedream/v4/edit", {
  input: {
    prompt: "Dress the model in the clothes and shoes.",
    image_urls: ["https://storage.googleapis.com/falserverless/example_inputs/seedream4_edit_input_1.png", "https://storage.googleapis.com/falserverless/example_inputs/seedream4_edit_input_2.png", "https://storage.googleapis.com/falserverless/example_inputs/seedream4_edit_input_3.png", "https://storage.googleapis.com/falserverless/example_inputs/seedream4_edit_input_4.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/bytedance/seedream/v4/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/bytedance/seedream/v4/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 text prompt used to edit the image

image_size ImageSize | Enum

The size of the generated image. Width and height must be between 1024 and 4096.

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 times to run generation with the prompt. Default value: 1

seed integer

Random seed to control the stochasticity of image generation.

sync_mode boolean

If set to true, the function will wait for the image to be generated and uploaded before returning the response. This will increase the latency of the function but it allows you to get the image directly in the response without going through the CDN.

image_urls list<string>* required

List of URLs of input images for editing. Presently, up to 10 image inputs are allowed.

{
  "prompt": "Dress the model in the clothes and shoes.",
  "image_size": {
    "height": 1280,
    "width": 1280
  },
  "num_images": 1,
  "image_urls": [
    "https://storage.googleapis.com/falserverless/example_inputs/seedream4_edit_input_1.png",
    "https://storage.googleapis.com/falserverless/example_inputs/seedream4_edit_input_2.png",
    "https://storage.googleapis.com/falserverless/example_inputs/seedream4_edit_input_3.png",
    "https://storage.googleapis.com/falserverless/example_inputs/seedream4_edit_input_4.png"
  ]
}

Output#

images list<Image>* required

Generated images

seed integer* required

Seed used for generation

{
  "images": [
    {
      "url": "https://storage.googleapis.com/falserverless/example_outputs/seedream4_edit_output.png"
    }
  ],
  "seed": 746406749
}

Other types#

File#

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

Image#

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 in pixels.

height integer

The height of the image in pixels.

ImageSize#

width integer

The width of the generated image. Default value: 512

height integer

The height of the generated image. Default value: 512

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#

File#

Image#

ImageSize#

Related Models

Bytedance 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#

File#

Image#

ImageSize#

Related Models