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"
}
}
Wan2.7
Wan2.7-R2V Reference-to-Video
- Alibaba Cloud Wanxiang 2.7 Modell für Reference-to-Video
- Erzeugt ein neues Video mit konsistentem Stil, Figuren und Szenen auf Basis eines oder mehrerer Referenzbilder/-videos
- Unterstützt Figurenkonsistenz, Stiltransfer und Kombination mehrerer Assets
- Unterstützt eine Referenzstimme (reference_voice) zur Steuerung der Figurenstimme
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
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
Name des Videogenerierungsmodells, fest auf
wan2.7-r2vBeschreibung 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"Array von Bildern mit Rollen; mindestens dieses Feld oder
video_urls muss angegeben werdenFelder jedes Objekts:url(string): Bild-URLrole(string): Bildrollereference_image– Referenzbild (Standard)first_frame– festgelegtes Erstbild (wenn angegeben, wirdsizeignoriert und das Seitenverhältnis folgt dem Erstbild)
reference_voice(string, optional): URL eines Sprachsamples für diese Referenzfigur, dient zur Steuerung der Figurenstimme im generierten Video
[
{
"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" }
]
Array von Referenzvideo-URLs, bis zu 5 Videos (insgesamt Bilder + Videos ≤ 5)Mindestens dieses Feld oder
image_with_roles muss angegeben werdenVideobeschränkungen:
- 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
Negativer Prompt zur Beschreibung unerwünschter Inhalte, bis zu 500 Zeichen
VideoauflösungOptionen:
720P– Standard1080P– Hohe Auflösung (Standard)
Videodauer (Sekunden)Unterstützter Bereich:
2 ~ 15 SekundenStandard: 5Wenn die Referenz-Assets ein Video enthalten: eine Ganzzahl zwischen [2, 10].Wenn die Referenz-Assets kein Video enthalten: eine Ganzzahl zwischen [2, 15].
SeitenverhältnisUnterstützte Formate:
16:9– Querformat Breitbild (Standard)9:16– Hochformat1:1– Quadrat4:3– Querformat3:4– Hochformat
Wenn
first_frame über image_with_roles angegeben wird, wird dieser Parameter ignoriert und das Seitenverhältnis folgt dem ErstbildSoll die intelligente Prompt-Umschreibung aktiviert werden?Verbessert die Ergebnisse für kurze Prompts deutlich, erhöht aber die VerarbeitungszeitStandard:
trueSoll dem generierten Video ein „AI Generated”-Wasserzeichen hinzugefügt werden?
true: Wasserzeichen hinzufügenfalse: kein Wasserzeichen (Standard)
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
Statuscode der Antwort, 200 bei Erfolg
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 imprompt, um auf sie zu verweisen:
-
- Bild → „image 1” oder „the first image”
-
- 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.⌘I