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": "veo3.1-fast-official",
    "prompt": "a golden retriever running on the beach, sunset, cinematic",
    "duration": 8,
    "aspect_ratio": "16:9"
  }'
import requests

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

payload = {
    "model": "veo3.1-fast-official",
    "prompt": "a golden retriever running on the beach, sunset, cinematic",
    "duration": 8,
    "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: "veo3.1-fast-official",
  prompt: "a golden retriever running on the beach, sunset, cinematic",
  duration: 8,
  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":        "veo3.1-fast-official",
        "prompt":       "a golden retriever running on the beach, sunset, cinematic",
        "duration":     8,
        "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": "veo3.1-fast-official",
          "prompt": "a golden retriever running on the beach, sunset, cinematic",
          "duration": 8,
          "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" => "veo3.1-fast-official",
    "prompt" => "a golden retriever running on the beach, sunset, cinematic",
    "duration" => 8,
    "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: "veo3.1-fast-official",
  prompt: "a golden retriever running on the beach, sunset, cinematic",
  duration: 8,
  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": "veo3.1-fast-official",
    "prompt": "a golden retriever running on the beach, sunset, cinematic",
    "duration": 8,
    "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"": ""veo3.1-fast-official"",
            ""prompt"": ""a golden retriever running on the beach, sunset, cinematic"",
            ""duration"": 8,
            ""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": "Authentication failed, please check your API key",
    "type": "authentication_error"
  }
}
{
  "error": {
    "code": 402,
    "message": "Insufficient account balance, please recharge and try again",
    "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": "veo3.1-fast-official",
    "prompt": "a golden retriever running on the beach, sunset, cinematic",
    "duration": 8,
    "aspect_ratio": "16:9"
  }'
import requests

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

payload = {
    "model": "veo3.1-fast-official",
    "prompt": "a golden retriever running on the beach, sunset, cinematic",
    "duration": 8,
    "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: "veo3.1-fast-official",
  prompt: "a golden retriever running on the beach, sunset, cinematic",
  duration: 8,
  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":        "veo3.1-fast-official",
        "prompt":       "a golden retriever running on the beach, sunset, cinematic",
        "duration":     8,
        "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": "veo3.1-fast-official",
          "prompt": "a golden retriever running on the beach, sunset, cinematic",
          "duration": 8,
          "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" => "veo3.1-fast-official",
    "prompt" => "a golden retriever running on the beach, sunset, cinematic",
    "duration" => 8,
    "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: "veo3.1-fast-official",
  prompt: "a golden retriever running on the beach, sunset, cinematic",
  duration: 8,
  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": "veo3.1-fast-official",
    "prompt": "a golden retriever running on the beach, sunset, cinematic",
    "duration": 8,
    "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"": ""veo3.1-fast-official"",
            ""prompt"": ""a golden retriever running on the beach, sunset, cinematic"",
            ""duration"": 8,
            ""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": "Authentication failed, please check your API key",
    "type": "authentication_error"
  }
}
{
  "error": {
    "code": 402,
    "message": "Insufficient account balance, please recharge and try again",
    "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-AuthentifizierungHolen Sie Ihren API Key: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 VideogenerierungsmodellsVerfügbare Modelle:
  • veo3.1-fast-official — Veo 3.1 Official Fast
  • veo3.1-quality-official — Veo 3.1 Official High Quality
prompt
string
erforderlich
Positiver Text-PromptBeschreiben Sie Szenen, Aktionen, Stile usw. ausführlich für bessere Generierungsergebnisse. Englische Prompts werden empfohlen.Beispiel: "a golden retriever running on the beach, sunset, cinematic"
negative_prompt
string
Negativer Prompt zum Ausschließen unerwünschter InhalteBeispiel: "blurry, low quality, watermark, text"
duration
integer
Standard:"8"
Videodauer in SekundenEmpfohlene Werte: 4 / 6 / 8Standard: 8Hinweis: Muss eine reine Zahl sein (z. B. 8), keine Anführungszeichen hinzufügen, sonst tritt ein Fehler auf
aspect_ratio
string
Standard:"16:9"
Seitenverhältnis des VideosVerfügbare Werte:
  • 16:9 — Querformat
  • 9:16 — Hochformat
Standard: 16:9
resolution
string
Standard:"720p"
VideoauflösungVerfügbare Werte:
  • 720p — Standardauflösung
  • 1080p — Hochauflösung
  • 4K — Ultra-Hochauflösung
Standard: 720p
first_frame_image
string
URL des Bildes für den ersten Frame für die Bild-zu-Video-Generierung
  • Die Bild-URL muss öffentlich zugänglich sein, ohne Hotlink-Schutz
  • Es werden URLs aus Objektspeichern statt temporärer Download-Links empfohlen
last_frame_image
string
URL des Bildes für den letzten Frame für die Bild-zu-Video-GenerierungWird zusammen mit first_frame_image verwendet, um ersten und letzten Frame zu steuern
seed
integer
Zufalls-Seed zur Reproduktion der GenerierungsergebnisseWertebereich: 04294967295
sample_count
integer
Standard:"1"
Anzahl der zu generierenden Samples (1-4), derzeit wird empfohlen, 1 zu verwendenStandard: 1
generate_audio
boolean
Standard:"false"
Ob eine Audiospur generiert werden soll
person_generation
string
Standard:"allow_adult"
Richtlinie zur PersonengenerierungVerfügbare Werte:
  • allow_adult — nur die Generierung erwachsener Personen/Gesichter erlauben
  • disallow — Generierung von Personen oder Gesichtern nicht erlauben
Standard: allow_adult
resize_mode
string
Standard:"pad"
Strategie zur Größenänderung von Bildern (wirksam bei Bild-zu-Video)Verfügbare Werte:
  • pad — Padding-Modus
  • crop — Zuschneide-Modus
Standard: pad
enhance_prompt
boolean
Standard:"true"
Ob die Upstream-Prompt-Verbesserung aktiviert werden sollStandard: true
  • Dieser Parameter kann nur auf true gesetzt werden. Wird er auf false gesetzt, schlägt die Anfrage fehl
  • Wenn Sie diesen Parameter nicht benötigen, fügen Sie ihn nicht hinzu

Text-zu-Video vs. Bild-zu-Video

Das System bestimmt den Modus automatisch danach, ob Bildparameter übergeben werden: keine Bilder für Text-zu-Video, Bilder für Bild-zu-Video.
ParameterText-zu-VideoBild-zu-Video
promptErforderlichErforderlich
first_frame_imageNicht verwendetErforderlich (mindestens eines)
last_frame_imageNicht verwendetOptional (letzter Frame)
negative_promptOptionalOptional
durationOptionalOptional
aspect_ratioOptionalOptional
resolutionOptionalOptional
seedOptionalOptional
generate_audioOptionalOptional
person_generationOptionalOptional
resize_modeNicht anwendbarOptional
enhance_promptOptionalOptional

Antwort

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

Anwendungsszenarien

Szenario 1: Text-zu-Video (einfach)

{
  "model": "veo3.1-fast-official",
  "prompt": "a golden retriever running on the beach, sunset, cinematic"
}

Szenario 2: Text-zu-Video (vollständige Parameter)

{
  "model": "veo3.1-quality-official",
  "prompt": "a cinematic close-up of a ragdoll cat slowly walking through a sunlit living room",
  "negative_prompt": "blurry, low quality, watermark, text",
  "duration": 8,
  "aspect_ratio": "16:9",
  "resolution": "1080p",
  "seed": 12345,
  "generate_audio": true,
  "person_generation": "disallow",
  "enhance_prompt": true
}

Szenario 3: Bild-zu-Video (nur erster Frame)

{
  "model": "veo3.1-fast-official",
  "prompt": "the cat slowly walks forward and looks around",
  "first_frame_image": "https://example.com/cat.png",
  "duration": 8,
  "resolution": "720p"
}

Szenario 4: Bild-zu-Video (erster Frame + letzter Frame)

{
  "model": "veo3.1-quality-official",
  "prompt": "smooth cinematic transition from the first frame to the last frame",
  "first_frame_image": "https://example.com/frame-start.png",
  "last_frame_image": "https://example.com/frame-end.png",
  "duration": 8,
  "resolution": "1080p"
}

Szenario 5: Video mit Audio

{
  "model": "veo3.1-quality-official",
  "prompt": "a busy coffee shop with people chatting and barista making latte art",
  "duration": 8,
  "generate_audio": true,
  "aspect_ratio": "16:9"
}
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.