# EXTEND
`POST` `https://api.apiframe.pro/luma-extend`
**Headers**
| Name | Value |
| ----------------------------------------------- | --------------------- |
| Content-Type | `application/json` |
| Authorization\* | Your APIFRAME API Key |
**Body**
| Name | Type | Description |
|---|
parent_task_id* | string | The ID of the original task |
prompt* | string | the text prompt for the video |
image_url | string | URL of the image representing initial frame of the video |
end_image_url | string | URL of the image representing end frame of the video |
enhance_prompt | boolean | Should Luma AI try to enhance your prompt? Default: false |
aspect_ratio | string | Aspect ratio for the video. Default: 1:1 |
webhook_url | string | The final result and updates of this task will be posted at this URL. |
webhook_secret | string | Will be passed as x-webhook-secret in the webhook call headers for authentication. |
**Response**
{% tabs %}
{% tab title="200" %}
```json
// Success, the task has been submitted
{
"task_id": "29e983ca-7e86-4017-a9e3-ef6fe9cd5f2a"
}
```
{% endtab %}
{% tab title="400" %}
```json
// Bad request
{
"errors": [{ msg: "Invalid request" }]
}
```
{% endtab %}
{% tab title="401" %}
```json
// Invalid API Key
{}
```
{% endtab %}
{% tab title="500" %}
```json
// A server error occured
{}
```
{% endtab %}
{% endtabs %}
This endpoint doesn't generate the video instantly, you can use the [Fetch](/api-endpoints/fetch.md) endpoint to fetch the result or use [webhooks](/webhooks.md).
The result (posted to the `webhook_url` or retrieved with the [Fetch](/api-endpoints/fetch.md) endpoint) looks like this:
```json
{
"task_id": "29e983ca-7e86-4017-a9e3-ef6fe9cd5f2a",
"task_type": "luma-ext",
"video_url": "https://...........xxxx.mp4", //
}
```
If the job is not completed, you will get a result like this:
```json
{
"task_id": "29e983ca-7e86-4017-a9e3-ef6fe9cd5f2a",
"task_type": "luma-ext",
"status": "processing",
"percentage": "40",
}
```
Code samples
{% tabs %}
{% tab title="JavaScript" %}
```javascript
const axios = require('axios');
const data = JSON.stringify({
"parent_task_id": "xxxxxxxxxx",
"prompt": "A colossal mech suit towering over a futuristic cityscape, its powerful weapons primed for battle against an unseen threat.",
"webhook_url": "https://........",
"webhook_secret": "abc123"
});
const config = {
method: 'post',
maxBodyLength: Infinity,
url: 'https://api.apiframe.pro/luma-extend',
headers: {
'Content-Type': 'application/json',
'Authorization': 'YOUR_API_KEY'
},
data : data
};
axios.request(config)
.then((response) => {
console.log(JSON.stringify(response.data));
})
.catch((error) => {
console.log(error);
});
```
{% endtab %}
{% tab title="Python" %}
import requests
import json
url = "https://api.apiframe.pro/luma-extend"
payload = json.dumps({
"parent_task_id": "xxxxxxxxxx",
"prompt": "A colossal mech suit towering over a futuristic cityscape, its powerful weapons primed for battle against an unseen threat.",
"webhook_url": "https://........",
"webhook_secret": "abc123"
})
headers = {
'Content-Type': 'application/json',
'Authorization': 'YOUR_API_KEY'
}
response = requests.request("POST", url, headers=headers, data=payload)
print(response.text)
{% endtab %}
{% tab title="PHP" %}
```php
'https://api.apiframe.pro/luma-extend',
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => '',
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 0,
CURLOPT_FOLLOWLOCATION => true,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => 'POST',
CURLOPT_POSTFIELDS =>'{
"parent_task_id": "xxxxxxxxxx",
"prompt": "A colossal mech suit towering over a futuristic cityscape, its powerful weapons primed for battle against an unseen threat.",
"webhook_url": "https://........",
"webhook_secret": "abc123"
}',
CURLOPT_HTTPHEADER => array(
'Content-Type: application/json',
'Authorization: YOUR_API_KEY'
),
));
$response = curl_exec($curl);
curl_close($curl);
echo $response;
```
{% endtab %}
{% tab title="Java" %}
```java
OkHttpClient client = new OkHttpClient().newBuilder()
.build();
MediaType mediaType = MediaType.parse("application/json");
RequestBody body = RequestBody.create(mediaType, "{\r\n \"parent_task_id\": \"xxxxxxxxxx\", \r\n \"prompt\": \"A colossal mech suit towering over a futuristic cityscape, its powerful weapons primed for battle against an unseen threat.\",\r\n \"aspect_ratio\": \"3:2\",\r\n \"webhook_url\": \"https://........\",\r\n \"webhook_secret\": \"abc123\"\r\n}");
Request request = new Request.Builder()
.url("https://api.apiframe.pro/luma-extend")
.method("POST", body)
.addHeader("Content-Type", "application/json")
.addHeader("Authorization", "YOUR_API_KEY")
.build();
Response response = client.newCall(request).execute();
```
{% endtab %}
{% tab title="Flutter" %}
```dart
var headers = {
'Content-Type': 'application/json',
'Authorization': 'YOUR_API_KEY'
};
var data = json.encode({
"parent_task_id": "xxxxxxxxxx",
"prompt": "A colossal mech suit towering over a futuristic cityscape, its powerful weapons primed for battle against an unseen threat.",
"webhook_url": "https://........",
"webhook_secret": "abc123"
});
var dio = Dio();
var response = await dio.request(
'https://api.apiframe.pro/luma-extend',
options: Options(
method: 'POST',
headers: headers,
),
data: data,
);
if (response.statusCode == 200) {
print(json.encode(response.data));
}
else {
print(response.statusMessage);
}
```
{% endtab %}
{% tab title="C#" %}
```csharp
var client = new HttpClient();
var request = new HttpRequestMessage(HttpMethod.Post, "https://api.apiframe.pro/luma-extend");
request.Headers.Add("Authorization", "YOUR_API_KEY");
var content = new StringContent("{\r\n \"parent_task_id\": \"xxxxxxxxxx\", \r\n \"prompt\": \"A colossal mech suit towering over a futuristic cityscape, its powerful weapons primed for battle against an unseen threat.\",\r\n \"webhook_url\": \"https://........\",\r\n \"webhook_secret\": \"abc123\"\r\n}", null, "application/json");
request.Content = content;
var response = await client.SendAsync(request);
response.EnsureSuccessStatusCode();
Console.WriteLine(await response.Content.ReadAsStringAsync());
```
{% endtab %}
{% tab title="Ruby" %}
```ruby
require "uri"
require "json"
require "net/http"
url = URI("https://api.apiframe.pro/luma-extend")
https = Net::HTTP.new(url.host, url.port)
https.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Content-Type"] = "application/json"
request["Authorization"] = "YOUR_API_KEY"
request.body = JSON.dump({
"parent_task_id": "xxxxxxxxxx",
"prompt": "A colossal mech suit towering over a futuristic cityscape, its powerful weapons primed for battle against an unseen threat.",
"webhook_url": "https://........",
"webhook_secret": "abc123"
})
response = https.request(request)
puts response.read_body
```
{% endtab %}
{% endtabs %}
---
# Agent Instructions: 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:
```
GET https://docs.apiframe.ai/luma-ai-api/extend.md?ask=
```
The question should be specific, self-contained, and written in natural language.
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.