> For the complete documentation index, see [llms.txt](https://docs.aimlapi.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.aimlapi.com/api-references/video-models/black-forest-labs/flux-3-video-t2v.md).

# FLUX 3 Video Text to Video

{% columns %}
{% column width="66.66666666666666%" %}
{% hint style="info" %}
This documentation is valid for the following list of our models:

* `blackforestlabs/flux-3-video-t2v`
  {% endhint %}
  {% endcolumn %}

{% column width="33.33333333333334%" %} <a href="https://aimlapi.com/app/blackforestlabs/flux-3-video-t2v" class="button primary">Try in Playground</a>
{% endcolumn %}
{% endcolumns %}

## Model Overview

FLUX 3 Video — a text-to-video model by Black Forest Labs that generates clips of 5 to 20 seconds in hd or fhd, with a synchronized audio track.

## Setup your API Key

If you don't have an API key yet, use our [Quickstart guide](https://docs.aimlapi.com/quickstart/setting-up).

## How to Make a Call

<details>

<summary>Step-by-Step Instructions</summary>

Generating a video involves sequentially calling two endpoints:

* Create and submit a video generation task. The response contains a generation ID.
* Poll the retrieval endpoint with that generation ID until the status is `completed`.

</details>

## API Schemas

### Create a video generation task and send it to the server

## POST /v2/video/generations

>

```json
{"openapi":"3.0.0","info":{"title":"AIML API","version":"1.0.0"},"servers":[{"url":"https://api.aimlapi.com"}],"paths":{"/v2/video/generations":{"post":{"operationId":"_v2_video_generations","requestBody":{"required":true,"content":{"application/json":{"schema":{"type":"object","properties":{"model":{"type":"string","enum":["blackforestlabs/flux-3-video-t2v"]},"prompt":{"type":"string","minLength":1,"description":"The text prompt describing the video to generate."},"aspect_ratio":{"type":"string","enum":["auto","21:9","2:1","16:9","4:3","1:1","3:4","9:16"],"default":"auto","description":"The aspect ratio of the generated video. `auto` lets the model pick, and image-to-video follows the first keyframe."},"duration":{"type":"integer","minimum":5,"maximum":20,"default":5,"description":"The video length in whole seconds, from 5 to 20."},"generate_audio":{"type":"boolean","default":true,"description":"Whether to generate a synchronized audio track. Set to `false` for a silent clip."},"safety_tolerance":{"type":"integer","minimum":0,"maximum":4,"default":2,"description":"The moderation strictness, from 0 (strictest) to 4 (most permissive)."},"resolution":{"type":"string","enum":["hd","fhd"],"default":"hd","description":"The output resolution of the generated video."}},"required":["model","prompt"],"title":"blackforestlabs/flux-3-video-t2v"}}}},"responses":{"200":{"content":{"application/json":{"schema":{"type":"object","properties":{"id":{"type":"string","description":"The ID of the generated video."},"status":{"type":"string","enum":["queued","generating","completed","error"],"description":"The current status of the generation task."},"video":{"anyOf":[{"type":"object","properties":{"url":{"type":"string","format":"uri","description":"The URL where the file can be downloaded from."}},"required":["url"]},{"type":"array","items":{"type":"object","properties":{"url":{"type":"string","format":"uri","description":"The URL where the file can be downloaded from."}},"required":["url"]}},{"nullable":true}]},"error":{"type":"object","nullable":true,"properties":{"name":{"type":"string"},"message":{"type":"string"}},"required":["name","message"],"description":"Description of the error, if any."},"meta":{"type":"object","nullable":true,"properties":{"usage":{"type":"object","nullable":true,"properties":{"credits_used":{"type":"number","description":"The number of tokens consumed during generation."},"usd_spent":{"type":"number","description":"The total amount of money spent by the user in USD."}},"required":["credits_used","usd_spent"]}},"description":"Additional details about the generation."}},"required":["id","status"]}}},"description":"Successful response."}}}}}}
```

### Retrieve the generated video from the server

Poll this endpoint with the `generation_id` returned by the submit request. When the status is `completed`, the response includes the generated video URL.

## GET /v2/video/generations

>

```json
{"openapi":"3.0.0","info":{"title":"AIML API","version":"1.0.0"},"servers":[{"url":"https://api.aimlapi.com"}],"security":[{"access-token":[]}],"components":{"securitySchemes":{"access-token":{"scheme":"bearer","bearerFormat":"<YOUR_AIMLAPI_KEY>","type":"http","description":"Bearer key","in":"header"}}},"paths":{"/v2/video/generations":{"get":{"operationId":"_v2_video_generations","parameters":[{"name":"generation_id","required":true,"in":"query","schema":{"type":"string"}}],"responses":{"200":{"content":{"application/json":{"schema":{"type":"object","properties":{"id":{"type":"string","description":"The ID of the generated video."},"status":{"type":"string","enum":["queued","generating","completed","error"],"description":"The current status of the generation task."},"video":{"type":"object","nullable":true,"properties":{"url":{"type":"string","format":"uri","description":"The URL where the file can be downloaded from."}},"required":["url"]},"error":{"type":"object","nullable":true,"properties":{"name":{"type":"string"},"message":{"type":"string"}},"required":["name","message"],"description":"Description of the error, if any."},"meta":{"type":"object","nullable":true,"properties":{"usage":{"type":"object","nullable":true,"properties":{"credits_used":{"type":"number","description":"The number of tokens consumed during generation."}},"required":["credits_used"]}},"description":"Additional details about the generation."}},"required":["id","status"]}}}}}}}}}
```

## Code Example

The examples submit a generation task and poll every **15 seconds** until the final result is available.

{% tabs %}
{% tab title="Python" %}
{% code overflow="wrap" %}

```python
import requests
import time

api_key = "<YOUR_AIMLAPI_KEY>"
url = "https://api.aimlapi.com/v2/video/generations"
headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json",
}

generation = requests.post(url, headers=headers, json={'model': 'blackforestlabs/flux-3-video-t2v', 'prompt': 'Describe what you want the model to generate.', 'duration': 5, 'image_url': 'https://example.com/input.jpg'})
generation.raise_for_status()
generation_id = generation.json()["id"]

while True:
    result = requests.get(
        url,
        headers=headers,
        params={"generation_id": generation_id},
    )
    result.raise_for_status()
    data = result.json()
    if data.get("status") not in ("queued", "generating"):
        print(data)
        break
    time.sleep(15)
```

{% endcode %}
{% endtab %}

{% tab title="JavaScript" %}
{% code overflow="wrap" %}

```javascript
const apiKey = "<YOUR_AIMLAPI_KEY>";
const url = "https://api.aimlapi.com/v2/video/generations";
const headers = {
  "Authorization": `Bearer ${apiKey}`,
  "Content-Type": "application/json",
};

const generation = await fetch(url, {
  method: "POST",
  headers,
  body: JSON.stringify({
  "model": "blackforestlabs/flux-3-video-t2v",
  "prompt": "Describe what you want the model to generate.",
  "duration": 5,
  "image_url": "https://example.com/input.jpg"
}),
});
const { id: generationId } = await generation.json();

while (true) {
  const response = await fetch(
    `${url}?generation_id=${encodeURIComponent(generationId)}`,
    { headers },
  );
  const data = await response.json();
  if (!["queued", "generating"].includes(data.status)) {
    console.log(data);
    break;
  }
  await new Promise((resolve) => setTimeout(resolve, 15000));
}
```

{% endcode %}
{% endtab %}
{% endtabs %}

<details>

<summary>Response</summary>

{% code overflow="wrap" %}

```json
{
  "id": "60ac7c34-3224-4b14-8e7d-0aa0db708325",
  "status": "completed",
  "video": {
    "url": "https://cdn.aimlapi.com/generations/hedgehog/1759866285599-0cdfb138-c03a-49d4-a601-4f6413e27b15.mp4"
  },
  "error": {
    "name": "<name>",
    "message": "<message>"
  },
  "meta": {
    "usage": {
      "credits_used": 120000,
      "usd_spent": 0.06
    }
  },
  "model": "blackforestlabs/flux-3-video-t2v"
}
```

{% endcode %}

</details>


---

# Agent Instructions
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## Querying This Documentation
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Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.aimlapi.com/api-references/video-models/black-forest-labs/flux-3-video-t2v.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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