curl --request POST \
--url https://api.apimart.ai/v1/videos/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "wan2.7",
"prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
"resolution": "1080P",
"duration": 8,
"size": "16:9"
}'
import requests
url = "https://api.apimart.ai/v1/videos/generations"
payload = {
"model": "wan2.7",
"prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
"resolution": "1080P",
"duration": 8,
"size": "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: "wan2.7",
prompt: "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
resolution: "1080P",
duration: 8,
size: "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": "wan2.7",
"prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
"resolution": "1080P",
"duration": 8,
"size": "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": "wan2.7",
"prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
"resolution": "1080P",
"duration": 8,
"size": "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" => "wan2.7",
"prompt" => "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
"resolution" => "1080P",
"duration" => 8,
"size" => "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: "wan2.7",
prompt: "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
resolution: "1080P",
duration: 8,
size: "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": "wan2.7",
"prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
"resolution": "1080P",
"duration": 8,
"size": "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"": ""wan2.7"",
""prompt"": ""A coastal road at sunset, slow-motion camera push-in, cinematic feel"",
""resolution"": ""1080P"",
""duration"": 8,
""size"": ""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_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"
}
}
Wan2.7
Wan2.7 Videogenerierung
- Videogenerierungsmodell Alibaba Cloud Wanxiang 2.7 (einheitlicher Einstieg)
- Automatisches Routing nach Parametern: Text-to-Video / Image-to-Video (erstes Einzelbild, erstes-letztes Einzelbild, Videofortsetzung)
- Unterstützt Auflösungen 720P/1080P, Dauer 2–15 Sekunden
- Unterstützt benutzerdefinierte Audiospur (Hintergrundmusik im Text-to-Video-Modus, steuerndes Audio im Image-to-Video-Modus)
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",
"prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
"resolution": "1080P",
"duration": 8,
"size": "16:9"
}'
import requests
url = "https://api.apimart.ai/v1/videos/generations"
payload = {
"model": "wan2.7",
"prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
"resolution": "1080P",
"duration": 8,
"size": "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: "wan2.7",
prompt: "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
resolution: "1080P",
duration: 8,
size: "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": "wan2.7",
"prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
"resolution": "1080P",
"duration": 8,
"size": "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": "wan2.7",
"prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
"resolution": "1080P",
"duration": 8,
"size": "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" => "wan2.7",
"prompt" => "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
"resolution" => "1080P",
"duration" => 8,
"size" => "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: "wan2.7",
prompt: "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
resolution: "1080P",
duration: 8,
size: "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": "wan2.7",
"prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
"resolution": "1080P",
"duration": 8,
"size": "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"": ""wan2.7"",
""prompt"": ""A coastal road at sunset, slow-motion camera push-in, cinematic feel"",
""resolution"": ""1080P"",
""duration"": 8,
""size"": ""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_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",
"prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
"resolution": "1080P",
"duration": 8,
"size": "16:9"
}'
import requests
url = "https://api.apimart.ai/v1/videos/generations"
payload = {
"model": "wan2.7",
"prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
"resolution": "1080P",
"duration": 8,
"size": "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: "wan2.7",
prompt: "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
resolution: "1080P",
duration: 8,
size: "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": "wan2.7",
"prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
"resolution": "1080P",
"duration": 8,
"size": "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": "wan2.7",
"prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
"resolution": "1080P",
"duration": 8,
"size": "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" => "wan2.7",
"prompt" => "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
"resolution" => "1080P",
"duration" => 8,
"size" => "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: "wan2.7",
prompt: "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
resolution: "1080P",
duration: 8,
size: "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": "wan2.7",
"prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel",
"resolution": "1080P",
"duration": 8,
"size": "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"": ""wan2.7"",
""prompt"": ""A coastal road at sunset, slow-motion camera push-in, cinematic feel"",
""resolution"": ""1080P"",
""duration"": 8,
""size"": ""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_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
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
Modus-Routing
wan2.7 ist ein einheitlicher Einstieg für Text-to-Video und Image-to-Video. Das Backend ermittelt den Modus automatisch anhand der eingehenden Parameter. Beide Modi werden identisch abgerechnet:
| Bedingung | Routet zu | Modusbeschreibung |
|---|---|---|
Eines von image_urls / image_with_roles / video_urls wird übergeben | Image-to-Video | Erstes Einzelbild / Erstes-letztes Einzelbild / Videofortsetzung |
| Keiner der oben genannten Parameter wird übergeben | Text-to-Video | Video rein aus Textbeschreibung generieren |
Anfrageparameter
string
erforderlich
Name des Videogenerierungsmodells, fest auf
wan2.7boolean
Standard:"false"
Legt fest, ob der Inhalt vor dem Absenden des Videoauftrags moderiert wird.
true: Prompts und Eingabebilder mitomni-moderation-latestprüfenfalseoder nicht angegeben: keine Moderationsanfrage und damit keine zusätzlichen Moderationskosten oder Verzögerung (Standard)
string
Beschreibung des Videoinhalts, bis zu 5000 Zeichen
- Text-to-Video-Modus (wenn kein Bild/Video übergeben wird): erforderlich
- Image-to-Video-Modus: optional, aber empfohlen zur Steuerung von Kamerabewegung und Aktionen
"A cat chasing butterflies on the grass, bright sunshine, slow motion"array<string>
Array von Bild-URLs. Wird dieses Feld angegeben, wird automatisch der Image-to-Video-Modus aktiviert
- 1 Bild: Erstes Einzelbild zu Video
- 2 Bilder: Erstes-letztes Einzelbild zu Video (1. = erstes Einzelbild, 2. = letztes Einzelbild)
image_with_rolesimage_urls steht in Konflikt mit audio_url; sie können nicht gleichzeitig angegeben werdenarray<object>
Array von Bildern mit Rollen, Alternative zu
image_urls, zur exakten Angabe der Rolle jedes BildesFelder jedes Objekts:url(string): Bild-URL (unterstützt http/https)role(string): Bildrolle,first_frame/last_frame, Standardfirst_frame
[
{ "url": "https://cdn.example.com/start.jpg", "role": "first_frame" },
{ "url": "https://cdn.example.com/end.jpg", "role": "last_frame" }
]
image_with_roles steht in Konflikt mit audio_url; sie können nicht gleichzeitig angegeben werdenarray<string>
Array von Video-URLs. Wird dieses Feld angegeben, wird der Modus Videofortsetzung aktiviert (es wird nur das 1. Video verwendet)
video_urls steht in Konflikt mit audio_url; sie können nicht gleichzeitig angegeben werdenVideobeschränkungen:
- Format: mp4, mov
- Dauer: 2–10s
- Auflösung: Breite und Höhe im Bereich [240, 4096] Pixel
- Seitenverhältnis: 1:8 – 8:1
- Dateigröße: bis zu 100 MB
string
Negativer Prompt zur Beschreibung unerwünschter Inhalte, bis zu 500 ZeichenBeispiel:
"blurry, distorted, low quality"string
Standard:"1080P"
VideoauflösungOptionen:
720P– Standard1080P– Hohe Auflösung (Standard)
integer
Standard:"5"
Videodauer (Sekunden)Unterstützter Bereich:
2 ~ 15 SekundenStandard: 5string
Standard:"16:9"
Seitenverhältnis, nur im Text-to-Video-Modus wirksam (wenn kein Bild/Video übergeben wird)Unterstützte Formate:
16:9– Querformat Breitbild (Standard)9:16– Hochformat1:1– Quadrat4:3– Querformat3:4– Hochformat
Dieser Parameter wird im Image-to-Video-Modus ignoriert; das Seitenverhältnis wird automatisch durch das Eingabebild bestimmt
string
URL einer benutzerdefinierten Audiospur
- Text-to-Video-Modus: wird als Hintergrundmusik verwendet
- Image-to-Video-Modus: wird als steuerndes Audio verwendet, synchronisiert mit den Aktionen im Bild
audio_url steht in Konflikt mit video_urls, image_urls und image_with_roles; sie können nicht gleichzeitig angegeben werdenboolean
Standard:"true"
Soll die intelligente Prompt-Umschreibung aktiviert werden?Verbessert die Ergebnisse für kurze Prompts deutlich, erhöht aber die VerarbeitungszeitStandard:
trueboolean
Standard:"false"
Soll dem generierten Video ein „AI Generated”-Wasserzeichen hinzugefügt werden?
true: Wasserzeichen hinzufügenfalse: kein Wasserzeichen (Standard)
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
integer
Statuscode der Antwort, 200 bei Erfolg
array
Anwendungsfälle
Fall 1: Text-zu-Video (einfachste Anfrage)
{
"model": "wan2.7",
"prompt": "A coastal road at sunset, slow-motion camera push-in, cinematic feel"
}
Fall 2: Text-zu-Video (vollständige Parameter)
{
"model": "wan2.7",
"prompt": "A cat chasing butterflies on the grass, bright sunshine, slow motion",
"negative_prompt": "blurry, distorted, low quality",
"resolution": "1080P",
"duration": 8,
"size": "16:9",
"audio_url": "https://cdn.example.com/bgm.mp3",
"prompt_extend": true,
"watermark": false,
"seed": 42
}
Fall 3: Erstes Einzelbild zu Video
{
"model": "wan2.7",
"prompt": "The character slowly stands up and walks toward the camera",
"image_urls": ["https://cdn.example.com/person.jpg"],
"resolution": "1080P",
"duration": 8
}
Fall 4: Erstes-letztes Einzelbild zu Video
{
"model": "wan2.7",
"prompt": "The camera pans slowly from the beach to the mountaintop",
"image_urls": [
"https://cdn.example.com/beach.jpg",
"https://cdn.example.com/mountain.jpg"
],
"resolution": "1080P",
"duration": 10
}
Bei 2 Bildern: Das 1. ist das erste Einzelbild, das 2. das letzte. Sie können auch image_with_roles für eine präzise Angabe verwenden.
Fall 5: Videofortsetzung
{
"model": "wan2.7",
"prompt": "Continue walking forward, camera follows",
"video_urls": ["https://cdn.example.com/clip.mp4"],
"resolution": "1080P",
"duration": 8
}
Fall 6: Bild + steuerndes Audio
{
"model": "wan2.7",
"prompt": "The character moves to the rhythm of the music",
"image_urls": ["https://cdn.example.com/dancer.jpg"],
"audio_url": "https://cdn.example.com/beat.mp3",
"resolution": "1080P",
"duration": 8
}
Leitfaden zur Moduswahl
| Anforderung | Empfohlene Vorgehensweise |
|---|---|
| Video nur aus Text generieren | Nur prompt übergeben (kein Bild/Video) |
| Ein Bild „lebendig” machen | 1 Bild an image_urls übergeben |
| Anfangs- und Endbild steuern | 2 Bilder an image_urls übergeben (erstes + letztes) |
| Ein vorhandenes Video verlängern | Video an video_urls übergeben |
| Bild zur Musik bewegen lassen | Bild + audio_url übergeben |
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.