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The client provides a convenient way to interact with the model API.
npm install --save @fal-ai/clientSet 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/trellis", {
input: {
image_url: "https://storage.googleapis.com/falserverless/web-examples/rodin3d/warriorwoman.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"
});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/trellis", {
input: {
image_url: "https://storage.googleapis.com/falserverless/web-examples/rodin3d/warriorwoman.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("fal-ai/trellis", {
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/trellis", {
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);Read more about file handling in our file upload guide.
image_url string* requiredURL of the input image to convert to 3D
seed integerRandom seed for reproducibility
ss_guidance_strength floatGuidance strength for sparse structure generation Default value: 7.5
ss_sampling_steps integerSampling steps for sparse structure generation Default value: 12
slat_guidance_strength floatGuidance strength for structured latent generation Default value: 3
slat_sampling_steps integerSampling steps for structured latent generation Default value: 12
mesh_simplify floatMesh simplification factor Default value: 0.95
texture_size TextureSizeEnumTexture resolution Default value: "1024"
Possible enum values: 512, 1024, 2048
{
"image_url": "https://storage.googleapis.com/falserverless/web-examples/rodin3d/warriorwoman.png",
"ss_guidance_strength": 7.5,
"ss_sampling_steps": 12,
"slat_guidance_strength": 3,
"slat_sampling_steps": 12,
"mesh_simplify": 0.95,
"texture_size": 1024
}Generated 3D mesh file
Processing timings
{
"model_mesh": {
"url": "",
"content_type": "image/png",
"file_name": "z9RV14K95DvU.png",
"file_size": 4404019
}
}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.