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POST
/
v1
/
videos
/
generations
curl --request POST \
  --url https://api.apimart.ai/v1/videos/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "kling-v2-6",
    "prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
    "mode": "std",
    "duration": 5,
    "aspect_ratio": "16:9"
  }'
import requests

url = "https://api.apimart.ai/v1/videos/generations"

payload = {
    "model": "kling-v2-6",
    "prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
    "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.apimart.ai/v1/videos/generations";

const payload = {
  model: "kling-v2-6",
  prompt: "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
  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.apimart.ai/v1/videos/generations"

    payload := map[string]interface{}{
        "model":        "kling-v2-6",
        "prompt":       "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
        "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.apimart.ai/v1/videos/generations";

        String payload = """
        {
          "model": "kling-v2-6",
          "prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
          "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.apimart.ai/v1/videos/generations";

$payload = [
    "model" => "kling-v2-6",
    "prompt" => "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
    "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.apimart.ai/v1/videos/generations")

payload = {
  model: "kling-v2-6",
  prompt: "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
  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.apimart.ai/v1/videos/generations")!

let payload: [String: Any] = [
    "model": "kling-v2-6",
    "prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
    "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.apimart.ai/v1/videos/generations";

        var payload = @"{
            ""model"": ""kling-v2-6"",
            ""prompt"": ""A golden cat running on a sunlit meadow, slow motion, cinematic quality"",
            ""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);
    }
}
{
  "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"
  }
}
curl --request POST \
  --url https://api.apimart.ai/v1/videos/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "kling-v2-6",
    "prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
    "mode": "std",
    "duration": 5,
    "aspect_ratio": "16:9"
  }'
import requests

url = "https://api.apimart.ai/v1/videos/generations"

payload = {
    "model": "kling-v2-6",
    "prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
    "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.apimart.ai/v1/videos/generations";

const payload = {
  model: "kling-v2-6",
  prompt: "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
  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.apimart.ai/v1/videos/generations"

    payload := map[string]interface{}{
        "model":        "kling-v2-6",
        "prompt":       "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
        "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.apimart.ai/v1/videos/generations";

        String payload = """
        {
          "model": "kling-v2-6",
          "prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
          "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.apimart.ai/v1/videos/generations";

$payload = [
    "model" => "kling-v2-6",
    "prompt" => "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
    "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.apimart.ai/v1/videos/generations")

payload = {
  model: "kling-v2-6",
  prompt: "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
  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.apimart.ai/v1/videos/generations")!

let payload: [String: Any] = [
    "model": "kling-v2-6",
    "prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
    "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.apimart.ai/v1/videos/generations";

        var payload = @"{
            ""model"": ""kling-v2-6"",
            ""prompt"": ""A golden cat running on a sunlit meadow, slow motion, cinematic quality"",
            ""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);
    }
}
{
  "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
required
All API endpoints require Bearer Token authenticationGet your API Key:Visit the API Key Management Page to get your API KeyAdd it to the request header:
Authorization: Bearer YOUR_API_KEY

Request Parameters

model
string
required
Video generation model nameSupported models:
  • kling-v2-6 - Kling v2.6 (recommended)
prompt
string
required
Text prompt, maximum 2500 charactersDescribe scenes, actions, styles in detail for better generation resultsExample: "A golden cat running on a sunlit meadow, slow motion, cinematic quality"
mode
string
default:"std"
Generation modeOptions:
  • std - Standard mode (720P, silent video only)
  • pro - Professional mode (1080P, supports automatic audio generation)
Default: std
Standard mode limitation: std mode only supports silent video. audio parameter requires pro mode.
duration
integer
default:"5"
Video duration (seconds)Options: 5 or 10Default: 5
aspect_ratio
string
default:"16:9"
Video aspect ratioOptions:
  • 16:9 - Landscape
  • 9:16 - Portrait
  • 1:1 - Square
Default: 16:9
negative_prompt
string
Negative prompt to exclude unwanted contentExample: "blurry, low quality, distorted"
image_urls
array<url>
Image URL array for image-to-video generation
  • Pass 1 image: used as first frame
  • Pass 2 images: automatically assigned as first frame + last frame (requires mode: "pro")
Maximum 2 images supportedExample: ["https://example.com/first.jpg"]
  • Maximum 2 images supported
  • Last frame (2 images) requires pro mode only; std mode only supports first frame (1 image)
  • Last frame and audio are mutually exclusive: In pro mode, last frame (2 images) and audio (audio: true) cannot be used together
  • In image-to-video mode, aspect_ratio may be overridden by the actual image ratio
audio
boolean
default:"false"
Whether to automatically generate audioDefault: false
  • Only available in mode: "pro"
  • Mutually exclusive with last frame: Audio cannot be used together with last frame (2 images)
watermark
boolean
Whether to add watermark

Feature Support Matrix

TypeFeaturestd 5sstd 10spro 5spro 10s
Text-to-VideoGeneration✅ (silent only)✅ (silent only)
Text-to-VideoAuto Audio--
Image-to-VideoGeneration✅ (silent only)✅ (silent only)
Image-to-VideoFirst Frame
Image-to-VideoLast Frame--
Image-to-VideoAuto Audio--
Note: In pro mode, last frame and audio control are mutually exclusive and cannot be used together.

Text-to-Video vs Image-to-Video

The system automatically determines the mode based on whether image_urls is provided: no images means text-to-video, with images means image-to-video.
ParameterText-to-VideoImage-to-Video
prompt✅ Required✅ Required
image_urls❌ Not used✅ Required (1-2 images, last frame needs pro)
negative_prompt✅ Optional✅ Optional
mode✅ Optional✅ Optional
duration✅ Optional✅ Optional
aspect_ratio✅ Optional⚠️ May be overridden by image ratio
audio✅ Optional (needs pro)✅ Optional (needs pro)
watermark✅ Optional✅ Optional

Response

code
integer
Response status code, 200 on success
data
array
Response data array

Use Cases

Case 1: Text-to-Video (Standard Mode)

{
  "model": "kling-v2-6",
  "prompt": "A golden cat running on a sunlit meadow, slow motion, cinematic quality",
  "mode": "std",
  "duration": 5,
  "aspect_ratio": "16:9"
}

Case 2: Text-to-Video (Pro Mode + Negative Prompt)

{
  "model": "kling-v2-6",
  "prompt": "Tokyo Shibuya crossing at night, neon lights reflected on wet ground, people walking with umbrellas",
  "negative_prompt": "blurry, low quality, distorted",
  "mode": "pro",
  "duration": 10,
  "aspect_ratio": "16:9"
}

Case 3: Image-to-Video (First Frame)

{
  "model": "kling-v2-6",
  "prompt": "The person in the frame turns and smiles",
  "image_urls": ["https://example.com/portrait.jpg"],
  "mode": "std",
  "duration": 5,
  "aspect_ratio": "16:9"
}

Case 4: Image-to-Video (First + Last Frame Control)

{
  "model": "kling-v2-6",
  "prompt": "City timelapse transitioning from day to night",
  "image_urls": ["https://example.com/day-city.jpg", "https://example.com/night-city.jpg"],
  "mode": "pro",
  "duration": 5
}

Case 5: Pro Mode + Auto Audio

{
  "model": "kling-v2-6",
  "prompt": "Waves crashing against rocks, seagulls circling in the sky, lighthouse in the distance",
  "mode": "pro",
  "duration": 10,
  "audio": true,
  "aspect_ratio": "16:9"
}
Query Task ResultsVideo generation is an async task that returns a task_id upon submission. Use the Get Task Status endpoint to query generation progress and results.