Zum Hauptinhalt springen
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"
  }
}

Autorisierung

Authorization
string
erforderlich
Alle API-Endpunkte erfordern eine Bearer-Token-AuthentifizierungAPI-Key abrufen:Besuchen Sie die Seite zur API-Key-Verwaltung, um Ihren API-Key zu erhaltenFügen Sie ihn zum Request-Header hinzu:
Authorization: Bearer YOUR_API_KEY

Anfrageparameter

model
string
erforderlich
Name des VideogenerierungsmodellsUnterstützte Modelle:
  • kling-v2-6 – Kling v2.6 (empfohlen)
prompt
string
erforderlich
Text-Prompt, maximal 2500 ZeichenBeschreiben Sie Szenen, Aktionen und Stile detailliert für bessere GenerierungsergebnisseBeispiel: "A golden cat running on a sunlit meadow, slow motion, cinematic quality"
mode
string
Standard:"std"
GenerierungsmodusOptionen:
  • std – Standardmodus (720P, nur stummes Video)
  • pro – Profimodus (1080P, unterstützt automatische Audio-Generierung)
Standard: std
Einschränkung des Standardmodus: Der Modus std unterstützt nur stumme Videos. Der Parameter audio erfordert den Modus pro.
duration
integer
Standard:"5"
Videodauer (Sekunden)Optionen: 5 oder 10Standard: 5
aspect_ratio
string
Standard:"16:9"
Seitenverhältnis des VideosOptionen:
  • 16:9 – Querformat
  • 9:16 – Hochformat
  • 1:1 – Quadrat
Standard: 16:9
negative_prompt
string
Negativer Prompt zum Ausschluss unerwünschter InhalteBeispiel: "blurry, low quality, distorted"
image_urls
array<url>
Array von Bild-URLs für die Image-to-Video-Generierung
  • 1 Bild übergeben: wird als Erstbild verwendet
  • 2 Bilder übergeben: werden automatisch als Erstbild + letztes Einzelbild zugewiesen (erfordert mode: "pro")
Maximal 2 Bilder unterstütztBeispiel: ["https://example.com/first.jpg"]
  • Maximal 2 Bilder unterstützt
  • Letztes Einzelbild (2 Bilder) erfordert nur den Modus pro; der Modus std unterstützt nur das Erstbild (1 Bild)
  • Letztes Einzelbild und Audio schließen sich gegenseitig aus: Im Modus pro können letztes Einzelbild (2 Bilder) und Audio (audio: true) nicht zusammen verwendet werden
  • Im Image-to-Video-Modus kann aspect_ratio durch das tatsächliche Bildverhältnis überschrieben werden
audio
boolean
Standard:"false"
Soll Audio automatisch generiert werden?Standard: false
  • Nur in mode: "pro" verfügbar
  • Schließt sich gegenseitig mit dem letzten Einzelbild aus: Audio kann nicht zusammen mit dem letzten Einzelbild (2 Bilder) verwendet werden
watermark
boolean
Soll ein Wasserzeichen hinzugefügt werden?

Funktionsunterstützungsmatrix

TypFunktionstd 5sstd 10spro 5spro 10s
Text-to-VideoGenerierung✅ (nur stumm)✅ (nur stumm)
Text-to-VideoAuto-Audio--
Image-to-VideoGenerierung✅ (nur stumm)✅ (nur stumm)
Image-to-VideoErstbild
Image-to-VideoLetztes Einzelbild--
Image-to-VideoAuto-Audio--
Hinweis: Im Modus pro schließen sich Steuerung des letzten Einzelbildes und Audio gegenseitig aus und können nicht zusammen verwendet werden.

Text-zu-Video (Text-to-Video) vs Bild-zu-Video (Image-to-Video)

Das System ermittelt den Modus automatisch danach, ob image_urls angegeben ist: ohne Bilder bedeutet Text-to-Video, mit Bildern bedeutet Image-to-Video.
ParameterText-to-VideoImage-to-Video
prompt✅ Erforderlich✅ Erforderlich
image_urls❌ Nicht verwendet✅ Erforderlich (1–2 Bilder, letztes Einzelbild benötigt pro)
negative_prompt✅ Optional✅ Optional
mode✅ Optional✅ Optional
duration✅ Optional✅ Optional
aspect_ratio✅ Optional⚠️ Kann durch Bildverhältnis überschrieben werden
audio✅ Optional (benötigt pro)✅ Optional (benötigt pro)
watermark✅ Optional✅ Optional

Antwort

code
integer
Statuscode der Antwort, 200 bei Erfolg
data
array
Datenarray der Antwort

Anwendungsfälle

Fall 1: Text-zu-Video (Standardmodus)

{
  "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"
}

Fall 2: Text-zu-Video (Pro-Modus + negativer 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"
}

Fall 3: Bild-zu-Video (Erstbild)

{
  "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"
}

Fall 4: Bild-zu-Video (Steuerung Erst- + Endbild)

{
  "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
}

Fall 5: Pro-Modus + 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"
}
Aufgabenergebnisse abfragenDie Videogenerierung ist eine asynchrone Aufgabe, die nach der Übermittlung eine task_id zurückgibt. Verwenden Sie den Endpunkt Aufgabenstatus abrufen, um den Generierungsfortschritt und die Ergebnisse abzufragen.