> ## Documentation Index
> Fetch the complete documentation index at: https://fal.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

> ## Agent Instructions
> fal has two developer products. Model APIs run hosted models through an API key. fal Serverless deploys your own Python apps and models on fal GPUs.
> To call a hosted model, start with the [Quick Start](https://fal.ai/docs/documentation/quickstart.md) and the [Model APIs overview](https://fal.ai/docs/documentation/model-apis/overview.md).
> To deploy your own model with fal Serverless, start with these pages:
> - [Introduction to Serverless](https://fal.ai/docs/documentation/serverless/index.md): What fal Serverless is and the three ways to deploy on it.
> - [Installation & Setup](https://fal.ai/docs/documentation/development/getting-started/installation.md): Install the fal CLI with `pip install fal` and authenticate.
> - [Quick Start](https://fal.ai/docs/documentation/development/getting-started/quick-start.md): Build a Hello World app, test it with `fal run`, and ship it with `fal deploy`.
> - [App Lifecycle](https://fal.ai/docs/documentation/development/app-lifecycle.md): How a `fal.App` goes from code to running runners.
> - [Define Your Endpoints](https://fal.ai/docs/documentation/development/endpoints-overview.md): Structure the API endpoints that your app exposes.
> - [Deploy to Production](https://fal.ai/docs/documentation/deployment/deploy-to-production.md): Persistent URLs, authentication modes, and automatic scaling.
> - [Machine Types](https://fal.ai/docs/documentation/deployment/machine-types.md): Available GPU and CPU machine types and how to choose one.
> - [Pricing](https://fal.ai/docs/documentation/serverless/pricing.md): Per-second billing and the runner states that are billed.
> - [Scaling Parameter Reference](https://fal.ai/docs/documentation/deployment/scale-your-application.md): Parameters that control runners, concurrency, and scale to zero.
> - [Optimizing Cold Starts](https://fal.ai/docs/documentation/serverless/optimizations/optimize-cold-starts.md): Causes of cold starts and ways to make them shorter.
> - [Examples](https://fal.ai/docs/examples/index.md): Complete Serverless apps for image, video, audio, 3D, realtime, and multi-GPU workloads.
> - [Migrating to fal](https://fal.ai/docs/documentation/development/migrating-to-fal.md): Guides to move an existing Docker server or an app from another platform to fal.
> fal Serverless deploys need access that the fal team approves for each account. Request access at https://fal.ai/dashboard/serverless-get-started.

# Fastest FLUX Endpoint

> We believe fal has the fastest FLUX endpoint in the planet. If you can find a faster one, we guarantee to beat it within one week. 🤝

<CardGroup>
  <Card title="fal-ai/ flux/schnell" href="https://fal.ai/models/fal-ai/flux/schnell" img="https://mintcdn.com/fal-d8505a2e/_1QeqsRe91WUAOCJ/images/image-7.png?fit=max&auto=format&n=_1QeqsRe91WUAOCJ&q=85&s=63ca3f10d0a6a8ed0b743648881b95a1" width="512" height="384" data-path="images/image-7.png">
    `text-to-image`

    FLUX.1 \[schnell] is a 12 billion parameter flow transformer that generates high-quality images from text in 1 to 4 steps, suitable for personal and commercial use.

    `optimized`
  </Card>

  <Card title="fal-ai/ flux/dev" href="https://fal.ai/models/fal-ai/flux/dev" img="https://mintcdn.com/fal-d8505a2e/_1QeqsRe91WUAOCJ/images/image-8.png?fit=max&auto=format&n=_1QeqsRe91WUAOCJ&q=85&s=77817a3db0b964ce72ac78f06b891404" width="512" height="384" data-path="images/image-8.png">
    `text-to-image`

    FLUX.1 \[dev] is a 12 billion parameter flow transformer that generates high-quality images from text. It is suitable for personal and commercial use.

    `flux`
  </Card>
</CardGroup>

Here is a quick guide on how to use this model from an API in less than 1 minute.

Before we proceed, you need to create an [API key](https://fal.ai/dashboard/keys).

This key secret will be used to authenticate your requests to the fal API.

```js theme={null}
fal.config({
  credentials: "PASTE_YOUR_FAL_KEY_HERE",
});
```

Now you can call our Model API endpoint using the [fal js client](/docs/model-apis/model-endpoints):

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

const result = await fal.subscribe("fal-ai/flux/dev", {
  input: {
    prompt:
      "photo of a rhino dressed suit and tie sitting at a table in a bar with a bar stools, award winning photography, Elke vogelsang",
  },
});
```

<Note>
  **Note:**

  <h4>Image Uploads Should Not Waste GPU Cycles</h4>

  <p>
    We upload the output image in a background thread so we don't charge any GPU
    time for time spent on the GPU that is not directly inference.
  </p>
</Note>