---
description: Route Fal AI generative media requests through AI Gateway for observability and control.
title: Fal AI
image: https://developers.cloudflare.com/og-docs.png
---

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# Fal AI

Last updated Aug 24, 2026|Copy as Markdown|[View as Markdown](https://docs-durable-objects-instance-replaced-errors.previews.developers.cloudflare.com/ai-gateway/usage/providers/fal/index.md)|[Agent setup](https://docs-durable-objects-instance-replaced-errors.previews.developers.cloudflare.com/agent-setup/)

[Fal AI ↗](https://fal.ai/) provides access to 600+ production-ready generative media models through a single, unified API. The service offers the world's largest collection of open image, video, voice, and audio generation models, all accessible with one line of code.

## Endpoint

```txt
https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/fal
```

## URL structure

When making requests to Fal AI, replace `https://fal.run` in the URL you're currently using with `https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/fal`.

## Prerequisites

When making requests to Fal AI, ensure you have the following:

* Your AI Gateway Account ID.
* Your AI Gateway gateway name.
* An active Fal AI API token.
* The name of the Fal AI model you want to use.

## Default synchronous API

By default, requests to the Fal AI endpoint will hit the synchronous API at `https://fal.run/<path>`.

### cURL example

```bash
curl https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/fal/fal-ai/fast-sdxl \
  --header 'Authorization: Key {fal_ai_token}' \
  --header 'Content-Type: application/json' \
  --data '{
    "prompt": "Make an image of a cat flying an aeroplane"
  }'
```

## Custom target URLs

If you need to hit a different target URL, you can supply the entire Fal target URL in the `x-fal-target-url` header.

### cURL example with custom target URL

```bash
curl https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/fal \
  --header 'Authorization: Bearer {fal_ai_token}' \
  --header 'x-fal-target-url: https://queue.fal.run/fal-ai/bytedance/seedream/v4/edit' \
  --header 'Content-Type: application/json' \
  --data '{
    "prompt": "Dress the model in the clothes and hat. Add a cat to the scene and change the background to a Victorian era building.",
    "image_urls": [
      "https://storage.googleapis.com/falserverless/example_inputs/seedream4_edit_input_1.png",
      "https://storage.googleapis.com/falserverless/example_inputs/seedream4_edit_input_2.png",
      "https://storage.googleapis.com/falserverless/example_inputs/seedream4_edit_input_3.png",
      "https://storage.googleapis.com/falserverless/example_inputs/seedream4_edit_input_4.png"
    ]
  }'
```

## WebSocket API

Fal AI also supports real-time interactions through WebSockets. For WebSocket connections and examples, see the [Realtime WebSockets API documentation](https://docs-durable-objects-instance-replaced-errors.previews.developers.cloudflare.com/ai-gateway/usage/websockets-api/realtime-api/#fal-ai).

## JavaScript SDK integration

The `x-fal-target-url` format is compliant with the Fal SDKs, so AI Gateway can be easily passed as a `proxyUrl` in the SDKs.

### JavaScript SDK example

```js
import { fal } from "@fal-ai/client";

fal.config({
  credentials: "{fal_ai_token}", // OR pass a cloudflare api token if using BYOK on AI Gateway
  proxyUrl: "https://gateway.ai.cloudflare.com/v1/{account_id}/{gateway_id}/fal"
});

const result = await fal.subscribe("fal-ai/bytedance/seedream/v4/edit", {
  "input": {
    "prompt": "Dress the model in the clothes and hat. Add a cat to the scene and change the background to a Victorian era building.",
    "image_urls": [
      "https://storage.googleapis.com/falserverless/example_inputs/seedream4_edit_input_1.png",
      "https://storage.googleapis.com/falserverless/example_inputs/seedream4_edit_input_2.png",
      "https://storage.googleapis.com/falserverless/example_inputs/seedream4_edit_input_3.png",
      "https://storage.googleapis.com/falserverless/example_inputs/seedream4_edit_input_4.png"
    ]
  }
});

console.log(result.data.images[0]);
```

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