Kling Video O1 Video Generation

Async processing mode, returns task ID for subsequent queries
Unified text-to-video/image-to-video interface with image reference syntax
Supports standard mode (720P) and professional mode (1080P)
Reference images in prompts using <<<image_N>>> syntax

Request example

curl --request POST \
  --url https://api.openveer.com/v1/videos/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "kling-video-o1",
    "prompt": "Make the person in <<<image_1>>> wave at the camera",
    "image_urls": ["https://upload.openveer.com/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
    "mode": "std",
    "duration": 5,
    "aspect_ratio": "16:9"
  }'

import requests

url = "https://api.openveer.com/v1/videos/generations"

payload = {
    "model": "kling-video-o1",
    "prompt": "Make the person in <<<image_1>>> wave at the camera",
    "image_urls": ["https://upload.openveer.com/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
    "mode": "std",
    "duration": 5,
    "aspect_ratio": "16:9"
}

headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())

const url = "https://api.openveer.com/v1/videos/generations";

const payload = {
  model: "kling-video-o1",
  prompt: "Make the person in <<<image_1>>> wave at the camera",
  image_urls: ["https://upload.openveer.com/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
  mode: "std",
  duration: 5,
  aspect_ratio: "16:9"
};

const headers = {
  "Authorization": "Bearer <token>",
  "Content-Type": "application/json"
};

fetch(url, {
  method: "POST",
  headers: headers,
  body: JSON.stringify(payload)
})
  .then(response => response.json())
  .then(data => console.log(data))
  .catch(error => console.error('Error:', error));

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io/ioutil"
    "net/http"
)

func main() {
    url := "https://api.openveer.com/v1/videos/generations"

    payload := map[string]interface{}{
        "model":        "kling-video-o1",
        "prompt":       "Make the person in <<<image_1>>> wave at the camera",
        "image_urls":   []string{"https://upload.openveer.com/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"},
        "mode":         "std",
        "duration":     5,
        "aspect_ratio": "16:9",
    }

    jsonData, _ := json.Marshal(payload)

    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
    req.Header.Set("Authorization", "Bearer <token>")
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := ioutil.ReadAll(resp.Body)
    fmt.Println(string(body))
}

import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.URI;

public class Main {
    public static void main(String[] args) throws Exception {
        String url = "https://api.openveer.com/v1/videos/generations";

        String payload = """
        {
          "model": "kling-video-o1",
          "prompt": "Make the person in <<<image_1>>> wave at the camera",
          "image_urls": ["https://upload.openveer.com/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
          "mode": "std",
          "duration": 5,
          "aspect_ratio": "16:9"
        }
        """;

        HttpClient client = HttpClient.newHttpClient();
        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create(url))
            .header("Authorization", "Bearer <token>")
            .header("Content-Type", "application/json")
            .POST(HttpRequest.BodyPublishers.ofString(payload))
            .build();

        HttpResponse<String> response = client.send(request,
            HttpResponse.BodyHandlers.ofString());

        System.out.println(response.body());
    }
}

<?php

$url = "https://api.openveer.com/v1/videos/generations";

$payload = [
    "model" => "kling-video-o1",
    "prompt" => "Make the person in <<<image_1>>> wave at the camera",
    "image_urls" => ["https://upload.openveer.com/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
    "mode" => "std",
    "duration" => 5,
    "aspect_ratio" => "16:9"
];

$ch = curl_init($url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_POST, true);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode($payload));
curl_setopt($ch, CURLOPT_HTTPHEADER, [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
]);

$response = curl_exec($ch);
curl_close($ch);

echo $response;
?>

require 'net/http'
require 'json'
require 'uri'

url = URI("https://api.openveer.com/v1/videos/generations")

payload = {
  model: "kling-video-o1",
  prompt: "Make the person in <<<image_1>>> wave at the camera",
  image_urls: ["https://upload.openveer.com/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
  mode: "std",
  duration: 5,
  aspect_ratio: "16:9"
}

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = "Bearer <token>"
request["Content-Type"] = "application/json"
request.body = payload.to_json

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

import Foundation

let url = URL(string: "https://api.openveer.com/v1/videos/generations")!

let payload: [String: Any] = [
    "model": "kling-video-o1",
    "prompt": "Make the person in <<<image_1>>> wave at the camera",
    "image_urls": ["https://upload.openveer.com/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
    "mode": "std",
    "duration": 5,
    "aspect_ratio": "16:9"
]

var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("Bearer <token>", forHTTPHeaderField: "Authorization")
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.httpBody = try? JSONSerialization.data(withJSONObject: payload)

let task = URLSession.shared.dataTask(with: request) { data, response, error in
    if let error = error {
        print("Error: \(error)")
        return
    }

    if let data = data, let responseString = String(data: data, encoding: .utf8) {
        print(responseString)
    }
}

task.resume()

using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;

class Program
{
    static async Task Main(string[] args)
    {
        var url = "https://api.openveer.com/v1/videos/generations";

        var payload = @"{
            ""model"": ""kling-video-o1"",
            ""prompt"": ""Make the person in <<<image_1>>> wave at the camera"",
            ""image_urls"": [""https://upload.openveer.com/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp""],
            ""mode"": ""std"",
            ""duration"": 5,
            ""aspect_ratio"": ""16:9""
        }";

        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("Authorization", "Bearer <token>");

        var content = new StringContent(payload, Encoding.UTF8, "application/json");
        var response = await client.PostAsync(url, content);
        var result = await response.Content.ReadAsStringAsync();

        Console.WriteLine(result);
    }
}

Response example

{
  "code": 200,
  "data": [
    {
      "status": "submitted",
      "task_id": "task_xxxxxxxxxx"
    }
  ]
}

{
  "error": {
    "code": 400,
    "message": "Invalid request parameters",
    "type": "invalid_request_error"
  }
}

{
  "error": {
    "code": 401,
    "message": "Invalid authentication credentials",
    "type": "authentication_error"
  }
}

{
  "error": {
    "code": 402,
    "message": "Insufficient balance. Please top up your account",
    "type": "payment_required"
  }
}

{
  "error": {
    "code": 429,
    "message": "Rate limit exceeded. Please try again later",
    "type": "rate_limit_error"
  }
}

{
  "error": {
    "code": 500,
    "message": "Internal server error. Please try again later",
    "type": "server_error"
  }
}

Authorization

Authorization string

All API endpoints require Bearer Token authentication

Get your API Key:

Visit the API Key Management Page to get your API Key

Add it to the request header:

Authorization: Bearer YOUR_API_KEY

Request Parameters

model string

Video generation model name

Supported models:

kling-video-o1 - Kling Video O1 (reasoning-enhanced, highest quality)

nsfw_check boolean

Whether to run content moderation before submitting the video task.

true: use omni-moderation-latest to review prompts and input images
false or omitted: do not send a moderation request, adding no moderation cost or latency (default)

prompt string

Positive text prompt

The prompt must not exceed 2,500 characters.

Supports referencing images from image_urls using <<<image_N>>> syntax, where N starts from 1.

Example: "Make the person in <<<image_1>>> wave at the camera"

Note

If images are provided but the prompt does not contain any <<<image_N>>> reference, the system will automatically prepend <<<image_1>>> to the prompt.

mode string

Generation mode

Options:

std - Standard mode (720P)
pro - Professional mode (1080P)

Default: std

duration integer

Video duration (seconds)

Options: 5 or 10

Default: 5

aspect_ratio string

Video aspect ratio

Options:

16:9 - Landscape
9:16 - Portrait
1:1 - Square

Default: 16:9

image_urls string

">
Image URL array for image referencing

Reference corresponding images in the prompt using <<<image_N>>> syntax (N starts from 1)

Example: ["https://example.png"]

Warning

* Image URLs must be publicly accessible without hotlink protection

* In image-to-video mode, aspect_ratio may be overridden by the actual image ratio

* Up to two images. The first item in the array is the start frame, and the second is the end frame

image_with_roles string

">
Role-based image array, recommended for image-to-video.

Each item format: { "url": "...", "role": "..." }

first_frame: first frame
last_frame: last frame
reference: reference image

Warning

- image_urls and image_with_roles are mutually exclusive, do not pass both.

- When more than 2 images are provided, setting start/end frames is not supported.

video_list array

Reference video list (URL-based), up to 1 video.

Use refer_type to distinguish types:

base: video to be edited (default)
feature: feature reference video

Use keep_original_sound to control whether to keep original audio:

no: do not keep (default)
yes: keep original sound

Request format:

"video_list":[
  { "video_url": "video_url", "refer_type": "base", "keep_original_sound": "no" }
]

Warning

* video_url cannot be empty, and the video URL must be accessible

* When refer_type=base:

* Start/end frames cannot be defined

* Reference video must be 3-10 seconds

* Generated video duration follows the uploaded video

* When refer_type=feature and video_url is not empty:

* image_urls can only include a first-frame image

* Video requirements: MP4/MOV only; duration at least 3 seconds; resolution 720px-2160px; frame rate 24-60fps (output is 24fps); size no more than 200MB

Image Reference Syntax

The Video O1 model uses <<<image_N>>> syntax to reference images in prompts, providing a unified text-to-video/image-to-video experience:

Syntax	Description
`<<<image_1>>>`	References the 1st image in the `image_urls` array
`<<<image_2>>>`	References the 2nd image in the `image_urls` array

Note

Auto Reference: If image_urls is provided but the prompt does not contain any <<<image_N>>> reference, the system will automatically prepend <<<image_1>>> to the prompt.

Response

code integer

Response status code, 200 on success

data array

Response data array

status string

Task status, submitted when initially submitted

task_id string

Unique task identifier for querying task status and results

Use Cases

Case 1: Text-to-Video (Highest Quality)

{
  "model": "kling-video-o1",
  "prompt": "A cinematic shot of a city skyline at golden hour",
  "mode": "pro",
  "duration": 5,
  "aspect_ratio": "16:9"
}

Case 2: Image Reference (Single Image)

{
  "model": "kling-video-o1",
  "prompt": "Make the person in <<<image_1>>> wave at the camera",
  "image_urls": ["https://upload.openveer.com/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
  "mode": "pro",
  "duration": 5
}

Case 3: Multiple Image References

{
  "model": "kling-video-o1",
  "prompt": "The character in <<<image_1>>> walks toward the scene in <<<image_2>>>",
  "image_urls": [
    "https://example.com/character.jpg",
    "https://example.com/scene.jpg"
  ],
  "mode": "pro",
  "duration": 5
}

Case 4: Image Provided Without Explicit Reference (Auto-added)

{
  "model": "kling-video-o1",
  "prompt": "The person slowly turns and smiles",
  "image_urls": ["https://upload.openveer.com/f/models/9998230426123070-e9d6af04-cb5e-4731-8ae7-abf144cb0d29-9998230586368386-29641169-f698-4ab9-9b6d-380899e6521e-9998230593110693-c1741a3a-.webp"],
  "mode": "std",
  "duration": 5
}

The system will automatically prepend <<<image_1>>> to the prompt, equivalent to "<<<image_1>>>The person slowly turns and smiles".

Note

Query Task Results

Video generation is an async task that returns a task_id upon submission. Use the Get Task Status endpoint to query generation progress and results.

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