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": "wan2.7-r2v",
    "prompt": "This person walks down the street surrounded by heavy traffic",
    "image_with_roles": [{"url": "https://cdn.example.com/character.jpg", "role": "reference_image"}],
    "resolution": "1080P",
    "duration": 8
  }'
import requests

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

payload = {
    "model": "wan2.7-r2v",
    "prompt": "This person walks down the street surrounded by heavy traffic",
    "image_with_roles": [{"url": "https://cdn.example.com/character.jpg", "role": "reference_image"}],
    "resolution": "1080P",
    "duration": 8
}

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: "wan2.7-r2v",
  prompt: "This person walks down the street surrounded by heavy traffic",
  image_with_roles: [{ url: "https://cdn.example.com/character.jpg", role: "reference_image" }],
  resolution: "1080P",
  duration: 8
};

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":  "wan2.7-r2v",
        "prompt": "This person walks down the street surrounded by heavy traffic",
        "image_with_roles": []map[string]string{
            {"url": "https://cdn.example.com/character.jpg", "role": "reference_image"},
        },
        "resolution": "1080P",
        "duration":   8,
    }

    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": "wan2.7-r2v",
          "prompt": "This person walks down the street surrounded by heavy traffic",
          "image_with_roles": [{"url": "https://cdn.example.com/character.jpg", "role": "reference_image"}],
          "resolution": "1080P",
          "duration": 8
        }
        """;

        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" => "wan2.7-r2v",
    "prompt" => "This person walks down the street surrounded by heavy traffic",
    "image_with_roles" => [["url" => "https://cdn.example.com/character.jpg", "role" => "reference_image"]],
    "resolution" => "1080P",
    "duration" => 8
];

$ch = curl_init($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: "wan2.7-r2v",
  prompt: "This person walks down the street surrounded by heavy traffic",
  image_with_roles: [{ url: "https://cdn.example.com/character.jpg", role: "reference_image" }],
  resolution: "1080P",
  duration: 8
}

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": "wan2.7-r2v",
    "prompt": "This person walks down the street surrounded by heavy traffic",
    "image_with_roles": [["url": "https://cdn.example.com/character.jpg", "role": "reference_image"]],
    "resolution": "1080P",
    "duration": 8
]

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"": ""wan2.7-r2v"",
            ""prompt"": ""This person walks down the street surrounded by heavy traffic"",
            ""image_with_roles"": [{""url"": ""https://cdn.example.com/character.jpg"", ""role"": ""reference_image""}],
            ""resolution"": ""1080P"",
            ""duration"": 8
        }";

        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_01J9HA7JPQ9A0Z6JZ3V8M9W6PZ"
    }
  ]
}
{
  "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": "wan2.7-r2v",
    "prompt": "This person walks down the street surrounded by heavy traffic",
    "image_with_roles": [{"url": "https://cdn.example.com/character.jpg", "role": "reference_image"}],
    "resolution": "1080P",
    "duration": 8
  }'
import requests

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

payload = {
    "model": "wan2.7-r2v",
    "prompt": "This person walks down the street surrounded by heavy traffic",
    "image_with_roles": [{"url": "https://cdn.example.com/character.jpg", "role": "reference_image"}],
    "resolution": "1080P",
    "duration": 8
}

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: "wan2.7-r2v",
  prompt: "This person walks down the street surrounded by heavy traffic",
  image_with_roles: [{ url: "https://cdn.example.com/character.jpg", role: "reference_image" }],
  resolution: "1080P",
  duration: 8
};

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":  "wan2.7-r2v",
        "prompt": "This person walks down the street surrounded by heavy traffic",
        "image_with_roles": []map[string]string{
            {"url": "https://cdn.example.com/character.jpg", "role": "reference_image"},
        },
        "resolution": "1080P",
        "duration":   8,
    }

    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": "wan2.7-r2v",
          "prompt": "This person walks down the street surrounded by heavy traffic",
          "image_with_roles": [{"url": "https://cdn.example.com/character.jpg", "role": "reference_image"}],
          "resolution": "1080P",
          "duration": 8
        }
        """;

        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" => "wan2.7-r2v",
    "prompt" => "This person walks down the street surrounded by heavy traffic",
    "image_with_roles" => [["url" => "https://cdn.example.com/character.jpg", "role" => "reference_image"]],
    "resolution" => "1080P",
    "duration" => 8
];

$ch = curl_init($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: "wan2.7-r2v",
  prompt: "This person walks down the street surrounded by heavy traffic",
  image_with_roles: [{ url: "https://cdn.example.com/character.jpg", role: "reference_image" }],
  resolution: "1080P",
  duration: 8
}

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": "wan2.7-r2v",
    "prompt": "This person walks down the street surrounded by heavy traffic",
    "image_with_roles": [["url": "https://cdn.example.com/character.jpg", "role": "reference_image"]],
    "resolution": "1080P",
    "duration": 8
]

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"": ""wan2.7-r2v"",
            ""prompt"": ""This person walks down the street surrounded by heavy traffic"",
            ""image_with_roles"": [{""url"": ""https://cdn.example.com/character.jpg"", ""role"": ""reference_image""}],
            ""resolution"": ""1080P"",
            ""duration"": 8
        }";

        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_01J9HA7JPQ9A0Z6JZ3V8M9W6PZ"
    }
  ]
}
{
  "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 Videogenerierungsmodells, fest auf wan2.7-r2v
prompt
string
erforderlich
Beschreibung des Videoinhalts, bis zu 5000 ZeichenBei mehreren Bildern/Videos verwenden Sie „image 1”, „image 2”, „video 1” usw., um auf die entsprechenden Referenz-Assets zu verweisen (in der Reihenfolge der Eingabe)Beispiel: "The character in image 1 enters the scene in image 2 and looks around"
image_with_roles
array<object>
Array von Bildern mit Rollen; mindestens dieses Feld oder video_urls muss angegeben werdenFelder jedes Objekts:
  • url (string): Bild-URL
  • role (string): Bildrolle
    • reference_image – Referenzbild (Standard)
    • first_frame – festgelegtes Erstbild (wenn angegeben, wird size ignoriert und das Seitenverhältnis folgt dem Erstbild)
  • reference_voice (string, optional): URL eines Sprachsamples für diese Referenzfigur, dient zur Steuerung der Figurenstimme im generierten Video
Beispiel:
[
  {
    "url": "https://cdn.example.com/character.jpg",
    "role": "reference_image",
    "reference_voice": "https://cdn.example.com/voice_sample.mp3"
  },
  { "url": "https://cdn.example.com/start.jpg", "role": "first_frame" }
]
video_urls
array<string>
Array von Referenzvideo-URLs, bis zu 5 Videos (insgesamt Bilder + Videos ≤ 5)Mindestens dieses Feld oder image_with_roles muss angegeben werden
Videobeschränkungen:
  • Format: mp4, mov
  • Dauer: 1–30s
  • Auflösung: Breite und Höhe im Bereich [240, 4096] Pixel
  • Seitenverhältnis: 1:8 – 8:1
  • Dateigröße: bis zu 100 MB
negative_prompt
string
Negativer Prompt zur Beschreibung unerwünschter Inhalte, bis zu 500 Zeichen
resolution
string
Standard:"1080P"
VideoauflösungOptionen:
  • 720P – Standard
  • 1080P – Hohe Auflösung (Standard)
duration
integer
Standard:"5"
Videodauer (Sekunden)Unterstützter Bereich: 2 ~ 15 SekundenStandard: 5
Wenn die Referenz-Assets ein Video enthalten: eine Ganzzahl zwischen [2, 10].Wenn die Referenz-Assets kein Video enthalten: eine Ganzzahl zwischen [2, 15].
size
string
Standard:"16:9"
SeitenverhältnisUnterstützte Formate:
  • 16:9 – Querformat Breitbild (Standard)
  • 9:16 – Hochformat
  • 1:1 – Quadrat
  • 4:3 – Querformat
  • 3:4 – Hochformat
Wenn first_frame über image_with_roles angegeben wird, wird dieser Parameter ignoriert und das Seitenverhältnis folgt dem Erstbild
prompt_extend
boolean
Standard:"true"
Soll die intelligente Prompt-Umschreibung aktiviert werden?Verbessert die Ergebnisse für kurze Prompts deutlich, erhöht aber die VerarbeitungszeitStandard: true
watermark
boolean
Standard:"false"
Soll dem generierten Video ein „AI Generated”-Wasserzeichen hinzugefügt werden?
  • true: Wasserzeichen hinzufügen
  • false: kein Wasserzeichen (Standard)
seed
integer
Ganzzahliger Seed zur Steuerung der Zufälligkeit des generierten InhaltsWertebereich: Ganzzahl ≥ 0
  • Bei identischen Anfragen erzeugt das Modell unterschiedliche Ergebnisse, wenn unterschiedliche Seed-Werte empfangen werden (z. B. ohne Seed)
  • Bei identischen Anfragen erzeugt das Modell ähnliche Ergebnisse, wenn derselbe Seed-Wert empfangen wird, eine exakte Übereinstimmung ist jedoch nicht garantiert

Antwort

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

Anwendungsfälle

Fall 1: Einzelnes Referenzbild (am einfachsten)

{
  "model": "wan2.7-r2v",
  "prompt": "This person walks down the street surrounded by heavy traffic",
  "image_with_roles": [
    { "url": "https://cdn.example.com/character.jpg", "role": "reference_image" }
  ]
}

Fall 2: Mehrere Referenzbilder

{
  "model": "wan2.7-r2v",
  "prompt": "The character in image 1 enters the scene in image 2 and mimics the pose in image 3",
  "image_with_roles": [
    { "url": "https://cdn.example.com/person.jpg", "role": "reference_image" },
    { "url": "https://cdn.example.com/background.jpg", "role": "reference_image" },
    { "url": "https://cdn.example.com/pose.jpg", "role": "reference_image" }
  ],
  "resolution": "1080P",
  "duration": 8,
  "size": "16:9"
}

Fall 3: Generierung basierend auf einem Referenzvideo

{
  "model": "wan2.7-r2v",
  "prompt": "Generate a beach sunset scene in the style of the reference video",
  "video_urls": ["https://cdn.example.com/style_reference.mp4"],
  "resolution": "720P",
  "duration": 8
}

Fall 4: Festgelegtes Erstbild + Referenzbild

{
  "model": "wan2.7-r2v",
  "prompt": "The reference character starts from this position and walks forward",
  "image_with_roles": [
    { "url": "https://cdn.example.com/character.jpg", "role": "reference_image" },
    { "url": "https://cdn.example.com/start.jpg", "role": "first_frame" }
  ],
  "resolution": "1080P",
  "duration": 8
}

Fall 5: Referenzbild + Referenzstimme (präzise)

{
  "model": "wan2.7-r2v",
  "prompt": "This person walks down the street while speaking",
  "image_with_roles": [
    {
      "url": "https://cdn.example.com/character.jpg",
      "role": "reference_image",
      "reference_voice": "https://cdn.example.com/voice_sample.mp3"
    }
  ],
  "resolution": "1080P",
  "duration": 10
}

Regeln für Bildreferenzen

Bei mehreren Referenzbildern verwenden Sie numerische Indizes im prompt, um auf sie zu verweisen:
    1. Bild → „image 1” oder „the first image”
    1. Video → „video 1” oder „the first video”
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.