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": "MiniMax-Hailuo-02",
    "prompt": "A cute cat running on the grass",
    "duration": 5,
    "resolution": "768p",
    "prompt_optimizer": true,
    "fast_pretreatment": false,
    "watermark": false
  }'
import requests

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

payload = {
    "model": "MiniMax-Hailuo-02",
    "prompt": "A cute cat running on the grass",
    "duration": 5,
    "resolution": "768p",
    "prompt_optimizer": True,
    "fast_pretreatment": False,
    "watermark": False
}

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: "MiniMax-Hailuo-02",
  prompt: "A cute cat running on the grass",
  duration: 5,
  resolution: "768p",
  prompt_optimizer: true,
  fast_pretreatment: false,
  watermark: false
};

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":              "MiniMax-Hailuo-02",
        "prompt":             "A cute cat running on the grass",
        "duration":           5,
        "resolution":         "768p",
        "prompt_optimizer":   true,
        "fast_pretreatment":  false,
        "watermark":          false,
    }

    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": "MiniMax-Hailuo-02",
          "prompt": "A cute cat running on the grass",
          "duration": 5,
          "resolution": "768p",
          "prompt_optimizer": true,
          "fast_pretreatment": false,
          "watermark": false
        }
        """;

        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" => "MiniMax-Hailuo-02",
    "prompt" => "A cute cat running on the grass",
    "duration" => 5,
    "resolution" => "768p",
    "prompt_optimizer" => true,
    "fast_pretreatment" => false,
    "watermark" => false
];

$ch = curl_init($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: "MiniMax-Hailuo-02",
  prompt: "A cute cat running on the grass",
  duration: 5,
  resolution: "768p",
  prompt_optimizer: true,
  fast_pretreatment: false,
  watermark: false
}

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": "MiniMax-Hailuo-02",
    "prompt": "A cute cat running on the grass",
    "duration": 5,
    "resolution": "768p",
    "prompt_optimizer": true,
    "fast_pretreatment": false,
    "watermark": false
]

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"": ""MiniMax-Hailuo-02"",
            ""prompt"": ""A cute cat running on the grass"",
            ""duration"": 5,
            ""resolution"": ""768p"",
            ""prompt_optimizer"": true,
            ""fast_pretreatment"": false,
            ""watermark"": false
        }";

        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_01K8SGYNNNVBQTXNR4MM964S7K"
    }
  ]
}
{
  "error": {
    "code": 400,
    "message": "Invalid request parameters",
    "type": "invalid_request_error"
  }
}
{
  "error": {
    "code": 401,
    "message": "Authentication failed, please check your API key",
    "type": "authentication_error"
  }
}
{
  "error": {
    "code": 402,
    "message": "Insufficient account balance, please recharge",
    "type": "payment_required"
  }
}
{
  "error": {
    "code": 429,
    "message": "Too many requests, 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": "MiniMax-Hailuo-02",
    "prompt": "A cute cat running on the grass",
    "duration": 5,
    "resolution": "768p",
    "prompt_optimizer": true,
    "fast_pretreatment": false,
    "watermark": false
  }'
import requests

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

payload = {
    "model": "MiniMax-Hailuo-02",
    "prompt": "A cute cat running on the grass",
    "duration": 5,
    "resolution": "768p",
    "prompt_optimizer": True,
    "fast_pretreatment": False,
    "watermark": False
}

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: "MiniMax-Hailuo-02",
  prompt: "A cute cat running on the grass",
  duration: 5,
  resolution: "768p",
  prompt_optimizer: true,
  fast_pretreatment: false,
  watermark: false
};

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":              "MiniMax-Hailuo-02",
        "prompt":             "A cute cat running on the grass",
        "duration":           5,
        "resolution":         "768p",
        "prompt_optimizer":   true,
        "fast_pretreatment":  false,
        "watermark":          false,
    }

    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": "MiniMax-Hailuo-02",
          "prompt": "A cute cat running on the grass",
          "duration": 5,
          "resolution": "768p",
          "prompt_optimizer": true,
          "fast_pretreatment": false,
          "watermark": false
        }
        """;

        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" => "MiniMax-Hailuo-02",
    "prompt" => "A cute cat running on the grass",
    "duration" => 5,
    "resolution" => "768p",
    "prompt_optimizer" => true,
    "fast_pretreatment" => false,
    "watermark" => false
];

$ch = curl_init($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: "MiniMax-Hailuo-02",
  prompt: "A cute cat running on the grass",
  duration: 5,
  resolution: "768p",
  prompt_optimizer: true,
  fast_pretreatment: false,
  watermark: false
}

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": "MiniMax-Hailuo-02",
    "prompt": "A cute cat running on the grass",
    "duration": 5,
    "resolution": "768p",
    "prompt_optimizer": true,
    "fast_pretreatment": false,
    "watermark": false
]

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"": ""MiniMax-Hailuo-02"",
            ""prompt"": ""A cute cat running on the grass"",
            ""duration"": 5,
            ""resolution"": ""768p"",
            ""prompt_optimizer"": true,
            ""fast_pretreatment"": false,
            ""watermark"": false
        }";

        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_01K8SGYNNNVBQTXNR4MM964S7K"
    }
  ]
}
{
  "error": {
    "code": 400,
    "message": "Invalid request parameters",
    "type": "invalid_request_error"
  }
}
{
  "error": {
    "code": 401,
    "message": "Authentication failed, please check your API key",
    "type": "authentication_error"
  }
}
{
  "error": {
    "code": 402,
    "message": "Insufficient account balance, please recharge",
    "type": "payment_required"
  }
}
{
  "error": {
    "code": 429,
    "message": "Too many requests, 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 holen:Besuchen Sie die Seite zur API-Key-Verwaltung, um Ihren API Key zu erhaltenIm Anfrage-Header hinzufügen:
Authorization: Bearer YOUR_API_KEY

Anfrageparameter

model
string
erforderlich
Name des VideogenerierungsmodellsFester Wert: MiniMax-Hailuo-02
prompt
string
erforderlich
Beschreibung des VideoinhaltsBeschreiben Sie Szene, Aktionen, Stil usw. detailliert für bessere GenerierungsergebnisseBeispiel: "A cute cat running on the grass"
duration
integer
Standard:"5"
Videodauer (in Sekunden)Optionen:
  • 5 — 5-Sekunden-Video
  • 10 — 10-Sekunden-Video
Standard: 5
1080p-Einschränkung: Bei Verwendung der 1080p-Auflösung wird nur eine Dauer von 5 Sekunden unterstützt
resolution
string
Standard:"768p"
VideoauflösungOptionen:
  • 512p — Standard Definition
  • 768p — High Definition
  • 1080p — Full HD (unterstützt nur 5 Sekunden Dauer)
Standard: 768p
prompt_optimizer
boolean
Standard:"true"
Ob der Prompt automatisch optimiert werden sollWenn aktiviert, optimiert das System Ihren Prompt automatisch für bessere GenerierungsergebnisseStandard: true
fast_pretreatment
boolean
Standard:"false"
Ob die Optimierungszeit des Prompts verkürzt werden sollDas Aktivieren kann die Verarbeitung beschleunigen, kann jedoch die Optimierungsqualität leicht beeinträchtigenStandard: false
watermark
boolean
Standard:"false"
Ob ein Wasserzeichen hinzugefügt werden sollStandard: false
first_frame_image
string
Bild des ersten VideoframesUnterstützt zwei Formate:
  • Öffentliche URL: https://example.com/start.jpg
  • Base64-kodiert: data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABg...
Wird verwendet, um den Startframe des Videos festzulegen
last_frame_image
string
Bild des letzten VideoframesUnterstützt zwei Formate:
  • Öffentliche URL: https://example.com/end.jpg
  • Base64-kodiert: data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABg...
Wird verwendet, um den Endframe des Videos festzulegen

Parametereinschränkungen

EinschränkungBeschreibung
DauerUnterstützt nur 5 oder 10 Sekunden
1080p-AuflösungUnterstützt nur 5 Sekunden Dauer
BildformatUnterstützt öffentliche URL oder Base64-kodiert (data:image/jpeg;base64,...)

Kombinationen von Auflösung und Dauer

AuflösungUnterstützte DauerHinweise
512p5 s, 10 sAlle unterstützt
768p5 s, 10 sAlle unterstützt
1080p5 s10 s nicht unterstützt

Antwort

code
integer
Antwortstatuscode, 200 bei Erfolg
data
array
Array der Antwortdaten

Anwendungsfälle

Fall 1: Schnelle Text-zu-Video-Generierung

{
  "model": "MiniMax-Hailuo-02",
  "prompt": "A cute cat running on the grass in bright sunshine"
}

Fall 2: Hochwertiges 1080p-Video generieren

{
  "model": "MiniMax-Hailuo-02",
  "prompt": "City night scene, neon lights flashing, traffic flowing",
  "duration": 5,
  "resolution": "1080p",
  "prompt_optimizer": true,
  "watermark": false
}

Fall 3: Video aus Bild des ersten Frames generieren

{
  "model": "MiniMax-Hailuo-02",
  "prompt": "Person slowly turning around with a smile",
  "duration": 5,
  "resolution": "768p",
  "first_frame_image": "https://example.com/portrait.jpg"
}

Fall 4: Übergangsvideo mit Steuerung des ersten und letzten Frames

{
  "model": "MiniMax-Hailuo-02",
  "prompt": "Scene gradually transitions from day to night, sky color changing",
  "duration": 10,
  "resolution": "768p",
  "first_frame_image": "https://example.com/day.jpg",
  "last_frame_image": "https://example.com/night.jpg",
  "prompt_optimizer": true
}

Fall 5: Modus schnelle Vorverarbeitung

{
  "model": "MiniMax-Hailuo-02",
  "prompt": "Waves crashing on the beach at sunset",
  "duration": 5,
  "resolution": "768p",
  "prompt_optimizer": true,
  "fast_pretreatment": true
}
Aufgabenergebnisse abfragenDie Videogenerierung ist eine asynchrone Aufgabe, die bei der Einreichung eine task_id zurückgibt. Verwenden Sie den Endpunkt Aufgabenstatus abrufen, um den Fortschritt und die Ergebnisse der Generierung abzufragen.