# VIDU Q2 Pro Multi-frame to Video - Documentation

> For the complete documentation index, see [llms.txt](/llms.txt). Markdown is available with `Accept: text/markdown` and `.md` URL variants.

Source: /docs/api-reference/model-apis-vidu-q2-pro-multiframe

# VIDU Q2 Pro Multi-frame to Video

POST

/

v3

/

async

/

vidu-q2-pro-multiframe

VIDU Q2 Pro Multi-frame to Video

cURL

```
curl --request POST \
--url https://api.novita.ai/v3/async/vidu-q2-pro-multiframe \
--header 'Authorization: <authorization>' \
--header 'Content-Type: <content-type>' \
--data '
{
"wm_url": "<string>",
"payload": "<string>",
"meta_data": "<string>",
"watermark": true,
"resolution": "<string>",
"start_image": "<string>",
"wm_position": "<string>",
"image_settings": [
{
"prompt": "<string>",
"duration": 123,
"key_image": "<string>"
}
]
}
'
```

```
import requestsurl = "https://api.novita.ai/v3/async/vidu-q2-pro-multiframe"payload = { "wm_url": "<string>", "payload": "<string>", "meta_data": "<string>", "watermark": True, "resolution": "<string>", "start_image": "<string>", "wm_position": "<string>", "image_settings": [ { "prompt": "<string>", "duration": 123, "key_image": "<string>" } ]}headers = { "Content-Type": "<content-type>", "Authorization": "<authorization>"}response = requests.post(url, json=payload, headers=headers)print(response.text)
```

```
const options = { method: 'POST', headers: {'Content-Type': '<content-type>', Authorization: '<authorization>'}, body: JSON.stringify({ wm_url: '<string>', payload: '<string>', meta_data: '<string>', watermark: true, resolution: '<string>', start_image: '<string>', wm_position: '<string>', image_settings: [{prompt: '<string>', duration: 123, key_image: '<string>'}] })};fetch('https://api.novita.ai/v3/async/vidu-q2-pro-multiframe', options) .then(res => res.json()) .then(res => console.log(res)) .catch(err => console.error(err));
```

```
<?php$curl = curl_init();curl_setopt_array($curl, [ CURLOPT_URL => "https://api.novita.ai/v3/async/vidu-q2-pro-multiframe", CURLOPT_RETURNTRANSFER => true, CURLOPT_ENCODING => "", CURLOPT_MAXREDIRS => 10, CURLOPT_TIMEOUT => 30, CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1, CURLOPT_CUSTOMREQUEST => "POST", CURLOPT_POSTFIELDS => json_encode([ 'wm_url' => '<string>', 'payload' => '<string>', 'meta_data' => '<string>', 'watermark' => true, 'resolution' => '<string>', 'start_image' => '<string>', 'wm_position' => '<string>', 'image_settings' => [ [ 'prompt' => '<string>', 'duration' => 123, 'key_image' => '<string>' ] ] ]), CURLOPT_HTTPHEADER => [ "Authorization: <authorization>", "Content-Type: <content-type>" ],]);$response = curl_exec($curl);$err = curl_error($curl);curl_close($curl);if ($err) { echo "cURL Error #:" . $err;} else { echo $response;}
```

```
package mainimport (	"fmt"	"strings"	"net/http"	"io")func main() {	url := "https://api.novita.ai/v3/async/vidu-q2-pro-multiframe"	payload := strings.NewReader("{\n \"wm_url\": \"<string>\",\n \"payload\": \"<string>\",\n \"meta_data\": \"<string>\",\n \"watermark\": true,\n \"resolution\": \"<string>\",\n \"start_image\": \"<string>\",\n \"wm_position\": \"<string>\",\n \"image_settings\": [\n {\n \"prompt\": \"<string>\",\n \"duration\": 123,\n \"key_image\": \"<string>\"\n }\n ]\n}")	req, _ := http.NewRequest("POST", url, payload)	req.Header.Add("Content-Type", "<content-type>")	req.Header.Add("Authorization", "<authorization>")	res, _ := http.DefaultClient.Do(req)	defer res.Body.Close()	body, _ := io.ReadAll(res.Body)	fmt.Println(string(body))}
```

```
HttpResponse<String> response = Unirest.post("https://api.novita.ai/v3/async/vidu-q2-pro-multiframe") .header("Content-Type", "<content-type>") .header("Authorization", "<authorization>") .body("{\n \"wm_url\": \"<string>\",\n \"payload\": \"<string>\",\n \"meta_data\": \"<string>\",\n \"watermark\": true,\n \"resolution\": \"<string>\",\n \"start_image\": \"<string>\",\n \"wm_position\": \"<string>\",\n \"image_settings\": [\n {\n \"prompt\": \"<string>\",\n \"duration\": 123,\n \"key_image\": \"<string>\"\n }\n ]\n}") .asString();
```

```
require 'uri'require 'net/http'url = URI("https://api.novita.ai/v3/async/vidu-q2-pro-multiframe")http = Net::HTTP.new(url.host, url.port)http.use_ssl = truerequest = Net::HTTP::Post.new(url)request["Content-Type"] = '<content-type>'request["Authorization"] = '<authorization>'request.body = "{\n \"wm_url\": \"<string>\",\n \"payload\": \"<string>\",\n \"meta_data\": \"<string>\",\n \"watermark\": true,\n \"resolution\": \"<string>\",\n \"start_image\": \"<string>\",\n \"wm_position\": \"<string>\",\n \"image_settings\": [\n {\n \"prompt\": \"<string>\",\n \"duration\": 123,\n \"key_image\": \"<string>\"\n }\n ]\n}"response = http.request(request)puts response.read_body
```

200

```
{
"task_id": "<string>"
}
```

VIDU Q2 Pro multi-frame to video API, generates high-quality coherent video content from multiple keyframe images.

This is an asynchronous API; only the task_id will be returned. You should use the task_id to request the [Task Result API](/docs/api-reference/model-apis-task-result) to retrieve the video generation results.

##

[​](#request-headers)

Request Headers

[​](#param-content-type)

Content-Type

string

required

Supports: `application/json`

[​](#param-authorization)

Authorization

string

required

Bearer authentication format, for example: Bearer {{API Key}}.

##

[​](#request-body)

Request Body

[​](#param-wm-url)

wm_url

string

Watermark image URL. Uses default watermark if enabled but not provided. Ignored if watermark is false.

[​](#param-payload)

payload

string

Pass-through parameter. No processing, only data transmission. Maximum 1048576 characters.

[​](#param-meta-data)

meta_data

string

Metadata identifier in JSON format string. Transparent field.

[​](#param-watermark)

watermark

boolean

default:false

Whether to add watermark. true: add watermark; false: no watermark. Default is no watermark.

[​](#param-resolution)

resolution

string

default:"720p"

Video resolution. Default is 720p.Optional values: `540p`, `720p`, `1080p`

[​](#param-start-image)

start_image

string

required

First frame image. Supports Base64 encoding or image URL. Only 1 image supported. Supports png, jpeg, jpg, webp formats. Image ratio should be less than 1:4 or 4:1. Maximum size 50 MB.

[​](#param-wm-position)

wm_position

string

default:"bottom_left"

Watermark position. Default is bottom_left. Ignored if watermark is false.Optional values: `top_left`, `top_right`, `bottom_right`, `bottom_left`

[​](#param-image-settings)

image_settings

object[]

required

Keyframe configuration array, minimum 2 keyframes, maximum 9 keyframesArray length: 2 - 9

Hide properties

[​](#param-prompt)

prompt

string

Prompt for continuing from the previous image, used to control the generated video content.

[​](#param-duration)

duration

integer

default:5

Duration between keyframes in seconds. Default is 5s. Valid range: 2-7 seconds.Value range: [2, 7]

[​](#param-key-image)

key_image

string

required

Intermediate frame reference image. Model uses this as the end frame to generate video. Supports Base64 encoding or image URL. Only 1 image supported. Input order is timeline order (from start to end). Supports png, jpeg, jpg, webp formats. Image ratio should be less than 1:4 or 4:1. Maximum size 50 MB.

##

[​](#response)

Response

[​](#param-task-id)

task_id

string

required

Use the task_id to request the [Task Result API](/docs/api-reference/model-apis-task-result) to retrieve the generated outputs.

Last modified on July 3, 2026