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": "这个人走在街上,四周车水马龙",
"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": "这个人走在街上,四周车水马龙",
"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: "这个人走在街上,四周车水马龙",
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": "这个人走在街上,四周车水马龙",
"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": "这个人走在街上,四周车水马龙",
"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" => "这个人走在街上,四周车水马龙",
"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: "这个人走在街上,四周车水马龙",
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": "这个人走在街上,四周车水马龙",
"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"": ""这个人走在街上,四周车水马龙"",
""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": "请求参数无效",
"type": "invalid_request_error"
}
}
{
"error": {
"code": 401,
"message": "身份验证失败,请检查您的API密钥",
"type": "authentication_error"
}
}
{
"error": {
"code": 402,
"message": "账户余额不足,请充值后再试",
"type": "payment_required"
}
}
{
"error": {
"code": 429,
"message": "请求过于频繁,请稍后再试",
"type": "rate_limit_error"
}
}
{
"error": {
"code": 500,
"message": "服务器内部错误,请稍后重试",
"type": "server_error"
}
}
Wan2.7
Wan2.7-R2V 参考生视频
- 阿里云万相 2.7 参考生视频模型
- 基于一张或多张参考图片/视频,生成与其风格、人物、场景一致的新视频
- 支持角色一致性、风格迁移、多素材组合
- 支持参考音色(reference_voice)控制角色声音
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": "这个人走在街上,四周车水马龙",
"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": "这个人走在街上,四周车水马龙",
"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: "这个人走在街上,四周车水马龙",
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": "这个人走在街上,四周车水马龙",
"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": "这个人走在街上,四周车水马龙",
"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" => "这个人走在街上,四周车水马龙",
"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: "这个人走在街上,四周车水马龙",
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": "这个人走在街上,四周车水马龙",
"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"": ""这个人走在街上,四周车水马龙"",
""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": "请求参数无效",
"type": "invalid_request_error"
}
}
{
"error": {
"code": 401,
"message": "身份验证失败,请检查您的API密钥",
"type": "authentication_error"
}
}
{
"error": {
"code": 402,
"message": "账户余额不足,请充值后再试",
"type": "payment_required"
}
}
{
"error": {
"code": 429,
"message": "请求过于频繁,请稍后再试",
"type": "rate_limit_error"
}
}
{
"error": {
"code": 500,
"message": "服务器内部错误,请稍后重试",
"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": "这个人走在街上,四周车水马龙",
"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": "这个人走在街上,四周车水马龙",
"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: "这个人走在街上,四周车水马龙",
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": "这个人走在街上,四周车水马龙",
"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": "这个人走在街上,四周车水马龙",
"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" => "这个人走在街上,四周车水马龙",
"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: "这个人走在街上,四周车水马龙",
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": "这个人走在街上,四周车水马龙",
"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"": ""这个人走在街上,四周车水马龙"",
""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": "请求参数无效",
"type": "invalid_request_error"
}
}
{
"error": {
"code": 401,
"message": "身份验证失败,请检查您的API密钥",
"type": "authentication_error"
}
}
{
"error": {
"code": 402,
"message": "账户余额不足,请充值后再试",
"type": "payment_required"
}
}
{
"error": {
"code": 429,
"message": "请求过于频繁,请稍后再试",
"type": "rate_limit_error"
}
}
{
"error": {
"code": 500,
"message": "服务器内部错误,请稍后重试",
"type": "server_error"
}
}
认证
所有接口均需要使用 Bearer Token 进行认证获取 API Key:访问 API Key 管理页面 获取您的 API Key使用时在请求头中添加:
Authorization: Bearer YOUR_API_KEY
请求参数
视频生成模型名称,固定为
wan2.7-r2v视频内容描述,最多 5000 字符多图/多视频时用”图1”、“图2”、“视频1”等序号指代对应参考素材(按传入顺序)示例:
"图1中的人物来到图2的场景中,环顾四周"带角色的图片数组,与
video_urls 至少传其一每个对象字段:url(string):图片 URLrole(string):图片角色reference_image- 参考图(默认)first_frame- 指定首帧(传入后size参数无效,宽高比以首帧图片为准)
reference_voice(string,可选):该参考角色的音色样本音频 URL,用于控制生成视频中角色的声音
[
{
"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" }
]
参考视频 URL 数组,最多 5 条(图片 + 视频总数 ≤ 5)与
image_with_roles 至少传其一视频限制:
- 格式:mp4、mov
- 时长:1~30s
- 分辨率:宽度和高度范围为 [240, 4096] 像素
- 宽高比:1:8 ~ 8:1
- 文件大小:不超过 100MB
反向提示词,描述不希望出现的内容,最多 500 字符
视频分辨率可选值:
720P- 标清1080P- 高清(默认)
视频时长(秒)支持范围:
2 ~ 15 秒默认值:5当参考素材中包含视频时:取值为 [2, 10] 之间的整数。当参考素材中不包含视频时:取值为 [2, 15] 之间的整数。
画面宽高比支持的格式:
16:9- 横版宽屏(默认)9:16- 竖版长屏1:1- 正方形4:3- 横版3:4- 竖版
当通过
image_with_roles 传入 first_frame 时,此参数将被忽略,宽高比以首帧图片为准是否开启 prompt 智能改写对较短提示词效果提升明显,但会增加耗时默认值:
true是否在生成的视频上添加 “AI生成” 水印
true:添加水印false:不添加水印(默认)
种子整数,用于控制生成内容的随机性取值范围:
≥0 的整数- 相同的请求下,模型收到不同的 seed 值(如:不指定 seed 值),将生成不同的结果
- 相同的请求下,模型收到相同的 seed 值,会生成类似的结果,但不保证完全一致
响应
响应状态码,成功时为 200
使用场景
场景 1:单参考图生成(最简)
{
"model": "wan2.7-r2v",
"prompt": "这个人走在街上,四周车水马龙",
"image_with_roles": [
{ "url": "https://cdn.example.com/character.jpg", "role": "reference_image" }
]
}
场景 2:多参考图生成
{
"model": "wan2.7-r2v",
"prompt": "图1中的人物来到图2的场景中,学习图3的动作",
"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"
}
场景 3:基于参考视频生成
{
"model": "wan2.7-r2v",
"prompt": "以参考视频的风格,生成一段海边日落场景",
"video_urls": ["https://cdn.example.com/style_reference.mp4"],
"resolution": "720P",
"duration": 8
}
场景 4:指定首帧 + 参考图
{
"model": "wan2.7-r2v",
"prompt": "参考人物从这个位置出发,向前走",
"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
}
场景 5:参考图 + 参考音色(精确方式)
{
"model": "wan2.7-r2v",
"prompt": "这个人走在街上,边走边说话",
"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
}
图片指代规则
多张参考图时,在prompt 中用数字序号指代:
- 第 1 张图 → “图1” 或 “第一张图”
- 第 1 个视频 → “视频1” 或 “第一个视频”
查询任务结果视频生成为异步任务,提交后会返回
task_id。使用 获取任务状态 接口查询生成进度和结果。⌘I