GPT Image 1 is OpenAI's new state-of-the-art image generation model. It is a natively multimodal language model that accepts both text and image inputs, and produces image outputs. It is the successor to DALL-E 2 and DALL-E 3.
Use it as a text-to-image API through fal!
The client provides a convenient way to interact with the model API.
npm install --save @fal-ai/clientThe @fal-ai/serverless-client package has been deprecated in favor of @fal-ai/client. Install the new package and update your imports — see client setup.
Set FAL_KEY as an environment variable in your runtime.
export FAL_KEY="YOUR_API_KEY"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/gpt-image-1/text-to-image", {
input: {
prompt: "A serene cyberpunk cityscape at twilight, with neon signs glowing in vibrant blues and purples, reflecting on rain-slick streets. Sleek futuristic buildings tower above, connected by glowing skybridges. A lone figure in a hooded jacket stands under a streetlamp, backlit by soft mist. The atmosphere is cinematic, moody"
},
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);The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.
import { fal } from "@fal-ai/client";
fal.config({
credentials: "YOUR_FAL_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.
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/gpt-image-1/text-to-image", {
input: {
prompt: "A serene cyberpunk cityscape at twilight, with neon signs glowing in vibrant blues and purples, reflecting on rain-slick streets. Sleek futuristic buildings tower above, connected by glowing skybridges. A lone figure in a hooded jacket stands under a streetlamp, backlit by soft mist. The atmosphere is cinematic, moody"
},
webhookUrl: "https://optional.webhook.url/for/results",
});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/gpt-image-1/text-to-image", {
requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
logs: true,
});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/gpt-image-1/text-to-image", {
requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);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.
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.
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.
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);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.
prompt string* requiredThe prompt for image generation
image_size ImageSizeEnumAspect ratio for the generated image Default value: "auto"
Possible enum values: auto, 1024x1024, 1536x1024, 1024x1536
background BackgroundEnumBackground for the generated image Default value: "auto"
Possible enum values: auto, transparent, opaque
quality QualityEnumQuality for the generated image Default value: "auto"
Possible enum values: auto, low, medium, high
num_images integerNumber of images to generate Default value: 1
output_format OutputFormatEnumOutput format for the images Default value: "png"
Possible enum values: jpeg, png, webp
sync_mode booleanIf True, the media will be returned as a data URI and the output data won't be available in the request history.
enable_safety_checker booleanAuthorized callers may set false to request relaxed screening. Default value: true
{
"prompt": "A serene cyberpunk cityscape at twilight, with neon signs glowing in vibrant blues and purples, reflecting on rain-slick streets. Sleek futuristic buildings tower above, connected by glowing skybridges. A lone figure in a hooded jacket stands under a streetlamp, backlit by soft mist. The atmosphere is cinematic, moody",
"image_size": "auto",
"background": "auto",
"quality": "auto",
"num_images": 1,
"output_format": "png",
"enable_safety_checker": true
}The generated images.
{
"images": [
{
"width": 1024,
"content_type": "image/png",
"url": "https://storage.googleapis.com/falserverless/model_tests/gpt-image-1/cyberpunk.png",
"height": 1536,
"file_name": "cyberpunk.png"
}
]
}url string* requiredThe URL where the file can be downloaded from.
content_type stringThe mime type of the file.
file_name stringThe name of the file. It will be auto-generated if not provided.
file_size integerThe size of the file in bytes.
width integerThe width of the image
height integerThe height of the image