# v5/transition

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

* `pixverse/v5/transition`
  {% endhint %}
  {% endcolumn %}

{% column width="33.33333333333334%" %} <a href="https://aimlapi.com/app/pixverse/v5/transition" class="button primary">Try in Playground</a>
{% endcolumn %}
{% endcolumns %}

By specifying the first and last video frames as input, this image-to-video model is well suited for generating video scenes that can later be seamlessly edited into a complete clip in a video editor. Consistently sharp, realistic, and cinematic-quality results.\
This model also generates videos with synchronized audio. For lip-sync input, you may supply text with a predefined voice.

## Setup your API Key

If you don’t have an API key for the AI/ML API yet, feel free to 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 using this model involves sequentially calling two endpoints:

* The first one is for creating and sending a video generation task to the server (returns a generation ID).
* The second one is for requesting the generated video from the server using the generation ID received from the first endpoint.

Below, you can find both corresponding API schemas.

</details>

## API Schemas

{% hint style="success" %}
Now, all of our API schemas for video models use our new universal short URL — `https://api.aimlapi.com/v2/video/generations`.\
However, you can still call this model using the legacy URL that includes the vendor name.
{% endhint %}

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

You can generate a video using this API. In the basic setup, you only need a reference image and a prompt. This endpoint creates and sends a video generation task to the server — and returns a generation ID. For lip-sync input, you may supply text (`lip_sync_tts_content`) with a predefined voice (`lip_sync_tts_speaker`).

## 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":["pixverse/v5/transition"]},"prompt":{"type":"string","description":"The text description of the scene, subject, or action to generate in the video."},"image_url":{"type":"string","format":"uri","description":"URL of the image to be used as the first frame of the video."},"tail_image_url":{"type":"string","format":"uri","description":"A direct link to an online image or a Base64-encoded local image to be used as the last frame of the video."},"resolution":{"type":"string","enum":["360p","540p","720p","1080p"],"default":"720p","description":"An enumeration where the short side of the video frame determines the resolution."},"duration":{"type":"integer","description":"The output video length in seconds. The 1080p quality option does not support 8-second videos.","enum":[5,8],"default":"5"},"negative_prompt":{"type":"string","description":"The description of elements to avoid in the generated video."},"style":{"type":"string","enum":["anime","3d_animation","clay","comic","cyberpunk"],"description":"The style of the generated video."},"seed":{"type":"integer","description":"Varying the seed integer is a way to get different results for the same other request parameters. Using the same value for an identical request will produce similar results. If unspecified, a random number is chosen."},"lip_sync_tts_content":{"type":"string","description":"The text content to be lip-synced in the video."},"lip_sync_tts_speaker":{"type":"string","enum":["Harper","Ava","Isabella","Sophia","Emily","Chloe","Julia","Mason","Jack","Liam","James","Oliver","Adrian","Ethan","Auto"],"description":"A predefined system voice used for generating speech in the video."}},"required":["model","prompt","image_url","tail_image_url"],"title":"pixverse/v5/transition"}}}},"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"]}}}}}}}}}
```

### Retrieve the generated video from the server

After sending a request for video generation, this task is added to the queue. This endpoint lets you check the status of a video generation task using its `id`, obtained from the endpoint described above.\
If the video generation task status is `completed`, the response will include the final result — with the generated video URL and additional metadata.

## 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"]}}}}}}}}}
```

## Full Example: Generating and Retrieving the Video From the Server

The code below creates a video generation task, then automatically polls the server every **10** seconds until it finally receives the video URL.

In this example, we set the last frame to match the first, creating a video that can be played in a seamless loop.

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

```python
import requests
import time

# replace <YOUR_AIMLAPI_KEY> with your actual AI/ML API key
api_key = "<YOUR_AIMLAPI_KEY>"
base_url = "https://api.aimlapi.com/v2"


# Creating and sending a video generation task to the server
def generate_video():
    url = f"{base_url}/generate/video/pixverse/generation"
    headers = {
        "Authorization": f"Bearer {api_key}", 
    }

    data = {
        "model": "pixverse/v5/transition",
        "prompt": "Mona Lisa sits holding glasses in her hands, then puts them on, but changes her mind, takes them off, and hides them in a handbag on her lap. Then she smiles.",
        "image_url": "https://s2-111386.kwimgs.com/bs2/mmu-aiplatform-temp/kling/20240620/1.jpeg",
        "tail_image_url": "https://s2-111386.kwimgs.com/bs2/mmu-aiplatform-temp/kling/20240620/1.jpeg",
        "duration": 8    
    }
 
    response = requests.post(url, json=data, headers=headers)
    
    if response.status_code >= 400:
        print(f"Error: {response.status_code} - {response.text}")
    else:
        response_data = response.json()
        print(response_data)
        return response_data
    

# Requesting the result of the task from the server using the generation_id
def get_video(gen_id):
    url = f"{base_url}/generate/video/pixverse/generation"
    params = {
        "generation_id": gen_id,
    }
    
    headers = {
        "Authorization": f"Bearer {api_key}", 
        "Content-Type": "application/json"
        }

    response = requests.get(url, params=params, headers=headers)
    return response.json()


def main():
     # Running video generation and getting a task id
    gen_response = generate_video()
    gen_id = gen_response.get("id")
    print("Generation ID:  ", gen_id)

    # Trying to retrieve the video from the server every 10 sec
    if gen_id:
        start_time = time.time()

        timeout = 600
        while time.time() - start_time < timeout:
            response_data = get_video(gen_id)

            if response_data is None:
                print("Error: No response from API")
                break
        
            status = response_data.get("status")
            print("Status:", status)

            if status == "waiting" or status == "active" or  status == "queued" or status == "generating":
                print("Still waiting... Checking again in 10 seconds.")
                time.sleep(10)
            else:
                print("Processing complete:\n", response_data)
                return response_data
   
        print("Timeout reached. Stopping.")
        return None     


if __name__ == "__main__":
    main()
```

{% endcode %}
{% endtab %}

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

```javascript
const https = require("https");
const { URL } = require("url");

// Replace <YOUR_AIMLAPI_KEY> with your actual AI/ML API key
const apiKey = "<YOUR_AIMLAPI_KEY>";
const baseUrl = "https://api.aimlapi.com/v2";

// Creating and sending a video generation task to the server
function generateVideo(callback) {
  const data = JSON.stringify({
    model: "pixverse/v5/transition",
    prompt: "Mona Lisa sits holding glasses in her hands, then puts them on, but changes her mind, takes them off, and hides them in a handbag on her lap. Then she smiles.",
    image_url: "https://s2-111386.kwimgs.com/bs2/mmu-aiplatform-temp/kling/20240620/1.jpeg",
    tail_image_url: "https://s2-111386.kwimgs.com/bs2/mmu-aiplatform-temp/kling/20240620/1.jpeg",
    duration: 8,   
  });

  const url = new URL(`${baseUrl}/generate/video/pixverse/generation`);
  const options = {
    method: "POST",
    headers: {
      "Authorization": `Bearer ${apiKey}`,
      "Content-Type": "application/json",
      "Content-Length": Buffer.byteLength(data),
    },
  };

  const req = https.request(url, options, (res) => {
    let body = "";
    res.on("data", (chunk) => body += chunk);
    res.on("end", () => {
      if (res.statusCode >= 400) {
        console.error(`Error: ${res.statusCode} - ${body}`);
        callback(null);
      } else {
        const parsed = JSON.parse(body);
        callback(parsed);
      }
    });
  });

  req.on("error", (err) => console.error("Request error:", err));
  req.write(data);
  req.end();
}

// Requesting the result of the task from the server using the generation_id
function getVideo(genId, callback) {
  const url = new URL(`${baseUrl}/generate/video/pixverse/generation`);
  url.searchParams.append("generation_id", genId);

  const options = {
    method: "GET",
    headers: {
      "Authorization": `Bearer ${apiKey}`,
      "Content-Type": "application/json",
    },
  };

  const req = https.request(url, options, (res) => {
    let body = "";
    res.on("data", (chunk) => body += chunk);
    res.on("end", () => {
      const parsed = JSON.parse(body);
      callback(parsed);
    });
  });

  req.on("error", (err) => console.error("Request error:", err));
  req.end();
}

// Initiates video generation and checks the status every 10 seconds until completion or timeout
function main() {
  generateVideo((genResponse) => {
    if (!genResponse || !genResponse.id) {
      console.error("Failed to start generation");
      return;
    }

    const genId = genResponse.id;
    console.log("Generation ID:", genId);

    const startTime = Date.now();
    const timeout = 600000;

    const checkStatus = () => {
      if (Date.now() - startTime > timeout) {
        console.log("Timeout reached. Stopping.");
        return;
      }

      getVideo(genId, (responseData) => {
        if (!responseData) {
          console.error("Error: No response from API");
          return;
        }

        const status = responseData.status;
        console.log("Status:", status);

        if (["waiting", "active", "queued", "generating"].includes(status)) {
          console.log("Still waiting... Checking again in 10 seconds.");
          setTimeout(checkStatus, 10000);
        } else {
          console.log("Processing complete:\n", responseData);
        }
      });
    };

    checkStatus();
  });
}

main();
```

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

<details>

<summary>Response</summary>

{% code overflow="wrap" %}

```json5
{'id': '91ec52a3-9d26-4950-8346-f64334dc6554:pixverse/v5/transition', 'status': 'queued', 'meta': {'usage': {'tokens_used': 672000}}}
Generation ID:   91ec52a3-9d26-4950-8346-f64334dc6554:pixverse/v5/transition
Status: generating
Still waiting... Checking again in 10 seconds.
Status: generating
Still waiting... Checking again in 10 seconds.
Status: generating
Still waiting... Checking again in 10 seconds.
Status: generating
Still waiting... Checking again in 10 seconds.
Status: generating
Still waiting... Checking again in 10 seconds.
Status: generating
Still waiting... Checking again in 10 seconds.
Status: generating
Still waiting... Checking again in 10 seconds.
Status: generating
Still waiting... Checking again in 10 seconds.
Status: completed
Processing complete:\n {'id': '91ec52a3-9d26-4950-8346-f64334dc6554:pixverse/v5/transition', 'status': 'completed', 'video': {'url': 'https://v3b.fal.media/files/b/penguin/zzrut-L6TMSVpD5ryPGeB_output.mp4', 'content_type': 'video/mp4', 'file_name': 'output.mp4', 'file_size': 4955795}}
```

{% endcode %}

</details>

**Processing time**: \~1.5 min.

**Original**: [864x1280](https://drive.google.com/file/d/1nqDmNR4N7JuzfoF7ZZxy-E5eQDPW7WYX/view?usp=sharing)

**Low-res GIF preview**:

<div align="left"><figure><img src="https://3927338786-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FROMd1X5PuqtikJ48n2N9%2Fuploads%2Fgit-blob-02e3316523ed5220e41e0e289e59d74fed113420%2Fpixverse-v5-transition_preview.gif?alt=media" alt=""><figcaption><p><code>"Mona Lisa sits holding glasses in her hands, then puts them on,</code><br><code>but changes her mind, takes them off, and hides them in a handbag on her lap.</code><br><code>Then she smiles."</code></p></figcaption></figure></div>

## Full Example #2: Lip-Sync

Now let’s test the parameters related to the lip-sync feature. We’ll generate a video with some character and give them a piece of text to speak. The text goes into the `lip_sync_tts_content` parameter, and the `lip_sync_tts_speaker` parameter selects one of the predefined voices.

The code below, just like in the first example, creates a video generation task and then automatically polls the server every 15 seconds until it finally receives the video URL.

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

```python
import requests
import time

# Insert your AI/ML API key instead of <YOUR_AIMLAPI_KEY>:
api_key = "<YOUR_AIMLAPI_KEY>"

# Creating and sending a video generation task to the server
def generate_video():
    url = "https://api.aimlapi.com/v2/video/generations"
    headers = {
        "Authorization": f"Bearer {api_key}", 
    }

    data = {
        "model": "pixverse/v5/image-to-video",
        "image_url": "https://raw.githubusercontent.com/aimlapi/api-docs/main/reference-files/news-presenter.jpg",
        "tail_image_url": "https://raw.githubusercontent.com/aimlapi/api-docs/main/reference-files/news-presenter.jpg",
        "prompt": "A young news presenter standing in the studio, facing the camera directly, eyes always on the camera, calm and professional, very still posture, minimal head movement, no sudden gestures, with a gentle friendly smile, confident stance, studio lighting, broadcast framing, realistic style, neutral background activity.",
        "lip_sync_tts_content": "Hello and welcome. This is our latest news update, and here are the headlines.",
        "lip_sync_tts_speaker": "Chloe",
        "duration": 5
    }
 
    response = requests.post(url, json=data, headers=headers)
    if response.status_code >= 400:
        print(f"Error: {response.status_code} - {response.text}")
    else:
        response_data = response.json()
        # print(response_data)
        return response_data
    

# Requesting the result of the task from the server using the generation_id
def get_video(gen_id):
    url = "https://api.aimlapi.com/v2/video/generations"
    params = {
        "generation_id": gen_id,
    }
    
    headers = {
        "Authorization": f"Bearer {api_key}", 
        "Content-Type": "application/json"
        }

    response = requests.get(url, params=params, headers=headers)
    return response.json()


def main():
    # Running video generation and getting a task id
    gen_response = generate_video()
    print(gen_response)
    gen_id = gen_response.get("id")
    print("Generation ID:  ", gen_id)

    # Try to retrieve the video from the server every 15 sec
    if gen_id:
        start_time = time.time()

        timeout = 1000
        while time.time() - start_time < timeout:
            response_data = get_video(gen_id)

            if response_data is None:
                print("Error: No response from API")
                break

            status = response_data.get("status")
            
            if status in ["queued", "generating"]:
                print(f"Status: {status}. Checking again in 15 seconds.")
                time.sleep(15)
            else:
                print("Processing complete:\n", response_data)
                return response_data

        print("Timeout reached. Stopping.")
        return None     


if __name__ == "__main__":
    main()
```

{% endcode %}
{% endtab %}

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

```javascript
// Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>
const apiKey = '<YOUR_AIMLAPI_KEY>';

// Creating and sending a video generation task to the server
async function generateVideo() {
  const url = 'https://api.aimlapi.com/v2/video/generations';

  const data = {
    model: 'pixverse/v5/image-to-video',
    image_url: 'https://raw.githubusercontent.com/aimlapi/api-docs/main/reference-files/news-presenter.jpg',
    tail_image_url: 'https://raw.githubusercontent.com/aimlapi/api-docs/main/reference-files/news-presenter.jpg',
    prompt: 'A young news presenter standing in the studio, facing the camera directly, eyes always on the camera, calm and professional, very still posture, minimal head movement, no sudden gestures, with a gentle friendly smile, confident stance, studio lighting, broadcast framing, realistic style, neutral background activity.',
    lip_sync_tts_content: 'Hello and welcome. This is our latest news update, and here are the headlines.',
    lip_sync_tts_speaker: 'Chloe',
    duration: 5
  };

  try {
    const response = await fetch(url, {
      method: 'POST',
      headers: {
        Authorization: `Bearer ${apiKey}`,
        'Content-Type': 'application/json',
      },
      body: JSON.stringify(data),
    });

    if (!response.ok) {
      const errorText = await response.text();
      console.error(`Error: ${response.status} - ${errorText}`);
      return null;
    }

    const responseData = await response.json();
    console.log(responseData);
    return responseData;
  } catch (error) {
    console.error('Request failed:', error);
    return null;
  }
}

// Requesting the result of the task from the server using the generation_id
async function getVideo(genId) {
  const url = new URL('https://api.aimlapi.com/v2/video/generations');
  url.searchParams.append('generation_id', genId);

  try {
    const response = await fetch(url, {
      method: 'GET',
      headers: {
        Authorization: `Bearer ${apiKey}`,
        'Content-Type': 'application/json',
      },
    });

    return await response.json();
  } catch (error) {
    console.error('Error fetching video:', error);
    return null;
  }
}

// Initiates video generation and checks the status every 15 seconds until completion or timeout
async function main() {
    const genResponse = await generateVideo();

    if (!genResponse || !genResponse.id) {
        console.error("No generation ID received.");
        return;
    }

    const genId = genResponse.id;
    console.log("Generation ID:", genId);

    const timeout = 1000 * 1000; // 1000 sec
    const interval = 15 * 1000; // 15 sec
    const startTime = Date.now();

    const checkStatus = async () => {
        if (Date.now() - startTime >= timeout) {
            console.log("Timeout reached. Stopping.");
            return;
        }

        const responseData = await getVideo(genId);

        if (!responseData) {
            console.error("Error: No response from API");
            return;
        }

        const status = responseData.status;

        if (["waiting", "queued", "generating"].includes(status)) {
            console.log(`Status: ${status}. Checking again in 15 seconds.`);
            await new Promise(resolve => setTimeout(resolve, interval));
            return checkStatus();
        } else {
            console.log("Processing complete:\n", responseData);
        }
    };

    await checkStatus();
}

main();
```

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

<details>

<summary>Statuses</summary>

<table><thead><tr><th width="169.99993896484375">Status</th><th>Description</th></tr></thead><tbody><tr><td><code>queued</code></td><td>Job is waiting in queue</td></tr><tr><td><code>generating</code></td><td>Video is being generated</td></tr><tr><td><code>completed</code></td><td>Generation successful, video available</td></tr><tr><td><code>error</code></td><td>Generation failed, check <code>error</code> field</td></tr></tbody></table>

</details>

<details>

<summary>Response</summary>

{% code overflow="wrap" %}

```json5
{'id': '-G3b3vVKdoC42fMNeK1T5', 'status': 'queued', 'meta': {'usage': {'credits_used': 2000000}}}
Generation ID:   -G3b3vVKdoC42fMNeK1T5
Status: queued. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Processing complete:
 {'id': '-G3b3vVKdoC42fMNeK1T5', 'status': 'succeeded', 'video': {'url': 'https://cdn.aimlapi.com/panda/pixverse%2Fmp4%2Fmedia%2Fweb%2Fori%2FE5tYBt2VcrPauFryGrbzL_seed685977357.mp4'}}
```

{% endcode %}

</details>

**Processing time**: \~1 min 18 sec.

**Generated video** (1280x720, with sound):

{% embed url="<https://drive.google.com/file/d/1-iIn5zQWhm4chwSwP6GTewQNzUzWj7Gt/view>" %}