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This model is no longer supported.
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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("fal-ai/moondream/batched", {
input: {
inputs: [{
image_url: "https://github.com/vikhyat/moondream/raw/main/assets/demo-1.jpg",
prompt: "What is the girl doing?"
}]
},
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/moondream/batched", {
input: {
inputs: [{
image_url: "https://github.com/vikhyat/moondream/raw/main/assets/demo-1.jpg",
prompt: "What is the girl doing?"
}]
},
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/moondream/batched", {
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/moondream/batched", {
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.
model_id ModelIDEnumModel ID to use for inference Default value: "vikhyatk/moondream2"
Possible enum values: vikhyatk/moondream2, fal-ai/moondream2-docci
List of input prompts and image URLs
max_tokens integerMaximum number of new tokens to generate Default value: 64
temperature floatTemperature for sampling Default value: 0.2
top_p floatTop P for sampling Default value: 1
repetition_penalty floatRepetition penalty for sampling Default value: 1
{
"model_id": "vikhyatk/moondream2",
"inputs": [
{
"image_url": "https://github.com/vikhyat/moondream/raw/main/assets/demo-1.jpg",
"prompt": "What is the girl doing?"
}
],
"max_tokens": 64,
"temperature": 0.2,
"top_p": 1,
"repetition_penalty": 1
}List of generated outputs
partial booleanWhether the output is partial
Timings for different parts of the process
Filenames of the images processed
{}image_url string* requiredURL of the image to be processed
prompt stringPrompt to be used for the image Default value: "Describe this image."