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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("krea/v3/edit", {
input: {
prompt: "A red fox curled up asleep in fresh snow at dawn, soft pink light on the pine trees behind it",
image_urls: ["https://v3b.fal.media/files/b/0a90b2a1/i89tMXz0SmiwL0ZvbnUvS_image_00240.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);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("krea/v3/edit", {
input: {
prompt: "A red fox curled up asleep in fresh snow at dawn, soft pink light on the pine trees behind it",
image_urls: ["https://v3b.fal.media/files/b/0a90b2a1/i89tMXz0SmiwL0ZvbnUvS_image_00240.png"]
},
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("krea/v3/edit", {
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("krea/v3/edit", {
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* requiredDescription of the image to generate.
Reference images to edit or combine (1-8). Order sets the <image-N> tags.
model ModelEnumModel variant: berry favors quality, jam favors speed. Default value: "berry"
Possible enum values: berry, jam
Output size, rounded up to multiples of 16, at most 4,220,160 total pixels (1680×2512). auto lets the prompt expander pick the aspect ratio at about 1024×1024. Default value: auto
Possible enum values: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9, auto
Note: For custom image sizes, you can pass the width and height as an object:
"image_size": {
"width": 1280,
"height": 720
}reasoning_level ReasoningLevelEnumHow much effort the harness spends reasoning about the given editing task. Higher reasoning effort means slower generation time. Default value: "low"
Possible enum values: low, medium
negative_prompt stringWhat to keep out of the image. Used by berry only. Default value: ""
seed integerLatent noise seed. Use a new seed when editing a previous output again.
output_format OutputFormatEnumOutput image format. Default value: "png"
Possible enum values: png, jpeg
sync_mode booleanReturn images as data URIs instead of saving them in request history.
enable_safety_checker booleanCheck output images for unsafe content. Disabling requires account authorization. Default value: true
{
"prompt": "A red fox curled up asleep in fresh snow at dawn, soft pink light on the pine trees behind it",
"image_urls": [
"https://v3b.fal.media/files/b/0a90b2a1/i89tMXz0SmiwL0ZvbnUvS_image_00240.png"
],
"model": "berry",
"image_size": "auto",
"reasoning_level": "low",
"output_format": "png",
"enable_safety_checker": true
}Generated images.
seed integer* requiredLatent noise seed used for generation.
prompt string* requiredPrompt used for generation, after expansion.
Seconds spent in each generation stage; inference is the total GPU sampling time.
Safety result for each image.
{
"images": [
{
"url": "",
"content_type": "image/png",
"file_name": "z9RV14K95DvU.png",
"file_size": 4404019
}
],
"prompt": ""
}width integerThe width of the generated image. Default value: 512
height integerThe height of the generated image. Default value: 512
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