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NSFW Checker Vision

fal-ai/x-ailab/nsfw
Predict whether an image is NSFW or SFW.
Inference
Commercial use
Partner
PlaygroundAPI

About

This model performs binary classification to determine whether an input image is Safe For Work (SFW) or Not Safe For Work (NSFW).

It directly assigns each image to one of two categories:

  • SFW: The image does not contain explicit, adult, or inappropriate content.
  • NSFW: The image is likely to contain nudity, sexual content, or other forms of explicit material.

The model is optimized for high-confidence decisions, making it well-suited for use cases that require hard filtering or real-time moderation.

1. Calling the API#

Install the client#

The client provides a convenient way to interact with the model API.

npm install --save @fal-ai/client

Setup your API Key#

Set FAL_KEY as an environment variable in your runtime.

export FAL_KEY="YOUR_API_KEY"

Submit a request#

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/x-ailab/nsfw", {
  input: {
    image_urls: "https://storage.googleapis.com/falserverless/model_tests/remove_background/elephant.jpg"
  },
  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);

2. Authentication#

The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.

API Key#

In case your app is running in an environment where you cannot set environment variables, you can set the API Key manually as a client configuration.
import { fal } from "@fal-ai/client";

fal.config({
  credentials: "YOUR_FAL_KEY"
});

3. Queue#

Submit a request#

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/x-ailab/nsfw", {
  input: {
    image_urls: "https://storage.googleapis.com/falserverless/model_tests/remove_background/elephant.jpg"
  },
  webhookUrl: "https://optional.webhook.url/for/results",
});

Fetch request status#

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/x-ailab/nsfw", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
  logs: true,
});

Get the result#

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/x-ailab/nsfw", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);

4. Files#

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.

Data URI (base64)#

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.

Hosted files (URL)#

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.

Uploading files#

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.

5. Schema#

Input#

image_urls list<string>* required

List of image URLs to check. If more than 10 images are provided, only the first 10 will be checked.

{
  "image_urls": "https://storage.googleapis.com/falserverless/model_tests/remove_background/elephant.jpg"
}

Output#

has_nsfw_concepts list<boolean>* required

List of booleans indicating if the image has an NSFW concept

{
  "has_nsfw_concepts": [
    true
  ]
}

Other types#