> 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/google/gemini-omni-flash-preview.md).

# Gemini Omni Flash Preview

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

* `google/gemini-omni-flash-preview`
  {% endhint %}
  {% endcolumn %}

{% column width="33.33333333333334%" %} <a href="https://aimlapi.com/app/google/gemini-omni-flash-preview" class="button primary">Try in Playground</a>
{% endcolumn %}
{% endcolumns %}

## Model Overview

Gemini Omni Flash Preview is Google's multimodal video generation and editing model for text-to-video, image-to-video, reference-to-video, and edit workflows.

## 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":["google/gemini-omni-flash-preview"]},"prompt":{"type":"string","minLength":1,"description":"The text description of the scene, subject, or action to generate in the video."},"image_url":{"type":"string","format":"uri","description":"Image URL, gs:// URI, or base64 data URI. Used as the first frame for image_to_video unless the prompt tags it as a reference."},"image_urls":{"type":"array","items":{"type":"string","format":"uri"},"maxItems":6,"description":"Reference image URLs, gs:// URIs, or base64 data URIs. Use prompt tags such as <IMAGE_REF_0> to bind image roles."},"video_url":{"type":"string","format":"uri","description":"Video URL, gs:// URI, or base64 data URI for edit workflows."},"audio_url":{"type":"string","format":"uri","description":"Audio URL, gs:// URI, or base64 data URI for multimodal prompting."},"previous_interaction_id":{"type":"string","description":"Gemini Interactions API id from a previous Omni generation, used for conversational edits."},"task":{"type":"string","enum":["text_to_video","image_to_video","reference_to_video","edit"],"description":"Gemini Omni video task. Defaults are inferred from the supplied media inputs."},"aspect_ratio":{"type":"string","enum":["16:9","9:16"],"description":"The aspect ratio of the generated video."},"duration":{"type":"integer","description":"The length of the output video in seconds.","enum":[3,4,5,6,7,8,9,10],"default":"8"},"delivery":{"type":"string","enum":["uri"],"default":"uri","description":"Gemini Omni video response delivery mode."}},"required":["model","prompt"],"title":"google/gemini-omni-flash-preview"}}}},"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."},"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': 'google/gemini-omni-flash-preview', 'prompt': 'Describe what you want the model to generate.', 'image_url': 'https://example.com/input.jpg', 'duration': '8'})
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": "google/gemini-omni-flash-preview",
  "prompt": "Describe what you want the model to generate.",
  "image_url": "https://example.com/input.jpg",
  "duration": "8"
}),
});
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": "google/gemini-omni-flash-preview"
}
```

{% endcode %}

</details>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.aimlapi.com/api-references/video-models/google/gemini-omni-flash-preview.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
