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"
}
}
Kling 2.6
Pembuatan Video Kling 2.6
- Mode pemrosesan asinkron, mengembalikan ID tugas untuk kueri berikutnya
- Mendukung teks-ke-video, gambar-ke-video (kontrol frame pertama/frame pertama-terakhir)
- Mendukung mode standar (720P) dan mode profesional (1080P)
- Mode profesional mendukung pembuatan audio otomatis dan pemilihan suara
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"
}
}
Otorisasi
Semua endpoint API memerlukan autentikasi Bearer TokenDapatkan API Key Anda:Kunjungi Halaman Manajemen API Key untuk mendapatkan API Key AndaTambahkan ke header request:
Authorization: Bearer YOUR_API_KEY
Parameter Request
Nama model pembuatan videoModel yang didukung:
kling-v2-6- Kling v2.6 (direkomendasikan)
Prompt teks, maksimum 2500 karakterJelaskan adegan, aksi, dan gaya secara detail untuk hasil pembuatan yang lebih baikContoh:
"A golden cat running on a sunlit meadow, slow motion, cinematic quality"Mode pembuatanOpsi:
std- Mode standar (720P, hanya video tanpa suara)pro- Mode profesional (1080P, mendukung pembuatan audio otomatis)
stdBatasan mode standar: Mode
std hanya mendukung video tanpa suara. Parameter audio memerlukan mode pro.Durasi video (detik)Opsi:
5 atau 10Default: 5Rasio aspek videoOpsi:
16:9- Lanskap9:16- Potret1:1- Persegi
16:9Prompt negatif untuk mengecualikan konten yang tidak diinginkanContoh:
"blurry, low quality, distorted"Array URL gambar untuk pembuatan gambar-ke-video
- Berikan 1 gambar: digunakan sebagai bingkai pertama
- Berikan 2 gambar: secara otomatis ditetapkan sebagai bingkai pertama + bingkai terakhir (memerlukan
mode: "pro")
["https://example.com/first.jpg"]- Maksimum 2 gambar yang didukung
- Bingkai terakhir (2 gambar) hanya memerlukan mode
pro; modestdhanya mendukung bingkai pertama (1 gambar) - Bingkai terakhir dan audio saling eksklusif: Dalam mode
pro, bingkai terakhir (2 gambar) dan audio (audio: true) tidak dapat digunakan bersamaan - Dalam mode gambar-ke-video,
aspect_ratiodapat ditimpa oleh rasio gambar aktual
Apakah membuat audio secara otomatisDefault:
false- Hanya tersedia dalam
mode: "pro" - Saling eksklusif dengan bingkai terakhir: Audio tidak dapat digunakan bersamaan dengan bingkai terakhir (2 gambar)
Apakah menambahkan watermark
Matriks Dukungan Fitur
| Type | Fitur | std 5s | std 10s | pro 5s | pro 10s |
|---|---|---|---|---|---|
| Teks-ke-Video | Pembuatan | ✅ (hanya tanpa suara) | ✅ (hanya tanpa suara) | ✅ | ✅ |
| Teks-ke-Video | Audio Otomatis | - | - | ✅ | ✅ |
| Gambar-ke-Video | Pembuatan | ✅ (hanya tanpa suara) | ✅ (hanya tanpa suara) | ✅ | ✅ |
| Gambar-ke-Video | Bingkai Pertama | ✅ | ✅ | ✅ | ✅ |
| Gambar-ke-Video | Bingkai Terakhir | - | - | ✅ | ✅ |
| Gambar-ke-Video | Audio Otomatis | - | - | ✅ | ✅ |
Catatan: Dalam mode pro, kontrol bingkai terakhir dan audio saling eksklusif dan tidak dapat digunakan bersamaan.
Teks-ke-Video vs Gambar-ke-Video
Sistem otomatis menentukan mode berdasarkan apakahimage_urls disediakan: tanpa gambar berarti teks-ke-video, dengan gambar berarti gambar-ke-video.
| Parameter | Teks-ke-Video | Gambar-ke-Video |
|---|---|---|
prompt | ✅ Wajib | ✅ Wajib |
image_urls | ❌ Tidak digunakan | ✅ Wajib (1-2 gambar, bingkai terakhir memerlukan pro) |
negative_prompt | ✅ Opsional | ✅ Opsional |
mode | ✅ Opsional | ✅ Opsional |
duration | ✅ Opsional | ✅ Opsional |
aspect_ratio | ✅ Opsional | ⚠️ Dapat ditimpa oleh rasio gambar |
audio | ✅ Opsional (memerlukan pro) | ✅ Opsional (memerlukan pro) |
watermark | ✅ Opsional | ✅ Opsional |
Respons
Kode status respons, 200 jika berhasil
Kasus Penggunaan
Kasus 1: Teks-ke-Video (Mode Standar)
{
"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"
}
Kasus 2: Teks-ke-Video (Mode Pro + Prompt Negatif)
{
"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"
}
Kasus 3: Gambar-ke-Video (Frame Pertama)
{
"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"
}
Kasus 4: Gambar-ke-Video (Kontrol Frame Pertama + Terakhir)
{
"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
}
Kasus 5: Mode Pro + Audio Otomatis
{
"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"
}
Kueri Hasil TugasPembuatan video adalah tugas asinkron yang mengembalikan
task_id saat dikirim. Gunakan endpoint Dapatkan Status Tugas untuk mengueri progres dan hasil pembuatan.⌘I