Veo 3.1 Image-to-Video

POST /v3/async/veo-3.1-generate-img2video

Veo 3.1 Image-to-Video

cURL

curl --request POST \
  --url https://api.myrouter.ai/v3/async/veo-3.1-generate-img2video \
  --header 'Authorization: <authorization>' \
  --header 'Content-Type: <content-type>' \
  --data '
{
  "prompt": "<string>",
  "image": "<string>",
  "last_image": "<string>",
  "reference_images": [
    {
      "image": "<string>",
      "reference_type": "<string>"
    }
  ],
  "aspect_ratio": "<string>",
  "duration_seconds": 123,
  "enhance_prompt": true,
  "generate_audio": true,
  "negative_prompt": "<string>",
  "person_generation": "<string>",
  "resolution": "<string>",
  "sample_count": 123,
  "seed": {}
}
'

import requests

url = "https://api.myrouter.ai/v3/async/veo-3.1-generate-img2video"

payload = {
    "prompt": "<string>",
    "image": "<string>",
    "last_image": "<string>",
    "reference_images": [
        {
            "image": "<string>",
            "reference_type": "<string>"
        }
    ],
    "aspect_ratio": "<string>",
    "duration_seconds": 123,
    "enhance_prompt": True,
    "generate_audio": True,
    "negative_prompt": "<string>",
    "person_generation": "<string>",
    "resolution": "<string>",
    "sample_count": 123,
    "seed": {}
}
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({
    prompt: '<string>',
    image: '<string>',
    last_image: '<string>',
    reference_images: [{image: '<string>', reference_type: '<string>'}],
    aspect_ratio: '<string>',
    duration_seconds: 123,
    enhance_prompt: true,
    generate_audio: true,
    negative_prompt: '<string>',
    person_generation: '<string>',
    resolution: '<string>',
    sample_count: 123,
    seed: {}
  })
};

fetch('https://api.myrouter.ai/v3/async/veo-3.1-generate-img2video', 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.myrouter.ai/v3/async/veo-3.1-generate-img2video",
  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([
    'prompt' => '<string>',
    'image' => '<string>',
    'last_image' => '<string>',
    'reference_images' => [
        [
                'image' => '<string>',
                'reference_type' => '<string>'
        ]
    ],
    'aspect_ratio' => '<string>',
    'duration_seconds' => 123,
    'enhance_prompt' => true,
    'generate_audio' => true,
    'negative_prompt' => '<string>',
    'person_generation' => '<string>',
    'resolution' => '<string>',
    'sample_count' => 123,
    'seed' => [
        
    ]
  ]),
  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 main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.myrouter.ai/v3/async/veo-3.1-generate-img2video"

	payload := strings.NewReader("{\n  \"prompt\": \"<string>\",\n  \"image\": \"<string>\",\n  \"last_image\": \"<string>\",\n  \"reference_images\": [\n    {\n      \"image\": \"<string>\",\n      \"reference_type\": \"<string>\"\n    }\n  ],\n  \"aspect_ratio\": \"<string>\",\n  \"duration_seconds\": 123,\n  \"enhance_prompt\": true,\n  \"generate_audio\": true,\n  \"negative_prompt\": \"<string>\",\n  \"person_generation\": \"<string>\",\n  \"resolution\": \"<string>\",\n  \"sample_count\": 123,\n  \"seed\": {}\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.myrouter.ai/v3/async/veo-3.1-generate-img2video")
  .header("Content-Type", "<content-type>")
  .header("Authorization", "<authorization>")
  .body("{\n  \"prompt\": \"<string>\",\n  \"image\": \"<string>\",\n  \"last_image\": \"<string>\",\n  \"reference_images\": [\n    {\n      \"image\": \"<string>\",\n      \"reference_type\": \"<string>\"\n    }\n  ],\n  \"aspect_ratio\": \"<string>\",\n  \"duration_seconds\": 123,\n  \"enhance_prompt\": true,\n  \"generate_audio\": true,\n  \"negative_prompt\": \"<string>\",\n  \"person_generation\": \"<string>\",\n  \"resolution\": \"<string>\",\n  \"sample_count\": 123,\n  \"seed\": {}\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.myrouter.ai/v3/async/veo-3.1-generate-img2video")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Content-Type"] = '<content-type>'
request["Authorization"] = '<authorization>'
request.body = "{\n  \"prompt\": \"<string>\",\n  \"image\": \"<string>\",\n  \"last_image\": \"<string>\",\n  \"reference_images\": [\n    {\n      \"image\": \"<string>\",\n      \"reference_type\": \"<string>\"\n    }\n  ],\n  \"aspect_ratio\": \"<string>\",\n  \"duration_seconds\": 123,\n  \"enhance_prompt\": true,\n  \"generate_audio\": true,\n  \"negative_prompt\": \"<string>\",\n  \"person_generation\": \"<string>\",\n  \"resolution\": \"<string>\",\n  \"sample_count\": 123,\n  \"seed\": {}\n}"

response = http.request(request)
puts response.read_body

200

{
  "task_id": "<string>"
}

The Veo 3.1 Preview version API has been automatically made compatible with this endpoint

Generate high-quality video content from input images and text descriptions using the Veo 3.1 video generation model. This API uses asynchronous processing and requires querying the final result via task_id.

Request Headers

Content-Type · string · required

Enum: application/json

Authorization · string · required

Bearer authentication format: Bearer {{API Key}}.

Request Body

prompt · string · required

A text string describing the video you want to generate.

image · string

Input image, supports URL or base64 encoding.

last_image · string

End frame image, used to fill the last frame of the video. Supports URL or base64 encoding.

reference_images · object[]

A list of up to three asset images or up to one style image, used to describe reference images for the model to use when generating the video.

Show properties

image · string

Reference image, supports URL or base64 encoding.

reference_type · string · required

Specifies the type of the provided reference image. Supported values:

• asset: The reference image provides assets for the generated video, such as: scenes, objects, or characters.

aspect_ratio · string

Specifies the aspect ratio of the generated video.

Enum: 16:9, 9:16. Default: 16:9.

duration_seconds · integer

The length of the video file you want to generate (in seconds).

Enum: 4, 6, 8. When using reference_images, only 8 is supported.

Default: 8.

enhance_prompt · boolean

Specifies whether to use Gemini to enhance your prompt. Only true is supported.

Default: true

generate_audio · boolean · required

Specifies whether to generate audio for the video.

negative_prompt · string

A text string describing content you want to prevent the model from generating.

person_generation · string

Safety setting that controls whether person or face generation is allowed.

Enum:

• allow_adult (default): Only allows generating adults
• dont_allow: Does not allow including people or faces in the image

resolution · string

Resolution of the generated video.

Enum: 720p (default) or 1080p

sample_count · integer

Number of video samples to generate.

Range: 1-4

seed · uint32

A number used to initialize the random generation process. Using the same seed, prompt, and other parameters produces the same output video, making the generation process deterministic.

Range: 0-4,294,967,295

Response

task_id · string · required

The task_id of the async task. Use the task_id to call the Get Async Task Result API to retrieve the generated result.