Loading API documentation
Generate
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/ernie-image", {
input: {
prompt: "A serene mountain landscape at sunset with golden light"
},
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/ernie-image", {
input: {
prompt: "A serene mountain landscape at sunset with golden light"
},
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/ernie-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/ernie-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* requiredText prompt for image generation. Supports English, Chinese, and Japanese.
negative_prompt stringNegative prompt to guide what should not be in the image. Default value: ""
The size of the generated image. Default value: square_hd
Possible enum values: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9, square_uhd, portrait_3_2, landscape_3_2, portrait_hd, landscape_hd
Note: For custom image sizes, you can pass the width and height as an object:
"image_size": {
"width": 1280,
"height": 720
}num_inference_steps integerNumber of denoising steps. Default value: 50
guidance_scale floatClassifier-free guidance scale. Default value: 5
seed integerRandom seed for reproducibility.
num_images integerNumber of images to generate. Default value: 1
enable_prompt_expansion booleanIf True, the prompt will be enhanced using an LLM for more detailed results. Default value: true
enable_safety_checker booleanEnable NSFW safety checking on the generated images. Disabling it requires account authorization; unauthorized requests are always checked. Default value: true
output_format OutputFormatEnumOutput image format. Default value: "jpeg"
Possible enum values: jpeg, png
sync_mode booleanIf True, the image will be returned as a data URI instead of a URL.
acceleration AccelerationEnumThe acceleration level to use for the image generation. Default value: "regular"
Possible enum values: none, regular, high
{
"prompt": "A serene mountain landscape at sunset with golden light",
"image_size": "square_hd",
"num_inference_steps": 50,
"guidance_scale": 5,
"num_images": 1,
"enable_prompt_expansion": true,
"enable_safety_checker": true,
"output_format": "jpeg",
"acceleration": "regular"
}List of generated images.
seed integer* requiredSeed used for generation.
prompt string* requiredThe prompt used for generating the image.
Timing information.
{
"images": [
{
"url": "",
"content_type": "image/jpeg"
}
],
"prompt": ""
}url string* requiredwidth integer* requiredheight integer* requiredcontent_type stringDefault value: "image/jpeg"
width integerThe width of the generated image. Default value: 512
height integerThe height of the generated image. Default value: 512