提交 Wan 2.5 文生视频任务
curl --request POST \
--url https://api.vidgo.ai/api/generate/submit \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "wan2.5-text-to-video",
"callback_url": "https://your-domain.com/callback",
"input": {
"prompt": "A cinematic time-lapse of a bustling city street transitioning from day to night.",
"aspect_ratio": "832*480",
"duration": 5,
"seed": 426
}
}
'import requests
url = "https://api.vidgo.ai/api/generate/submit"
payload = {
"model": "wan2.5-text-to-video",
"callback_url": "https://your-domain.com/callback",
"input": {
"prompt": "A cinematic time-lapse of a bustling city street transitioning from day to night.",
"aspect_ratio": "832*480",
"duration": 5,
"seed": 426
}
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: 'wan2.5-text-to-video',
callback_url: 'https://your-domain.com/callback',
input: {
prompt: 'A cinematic time-lapse of a bustling city street transitioning from day to night.',
aspect_ratio: '832*480',
duration: 5,
seed: 426
}
})
};
fetch('https://api.vidgo.ai/api/generate/submit', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.vidgo.ai/api/generate/submit",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'model' => 'wan2.5-text-to-video',
'callback_url' => 'https://your-domain.com/callback',
'input' => [
'prompt' => 'A cinematic time-lapse of a bustling city street transitioning from day to night.',
'aspect_ratio' => '832*480',
'duration' => 5,
'seed' => 426
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.vidgo.ai/api/generate/submit"
payload := strings.NewReader("{\n \"model\": \"wan2.5-text-to-video\",\n \"callback_url\": \"https://your-domain.com/callback\",\n \"input\": {\n \"prompt\": \"A cinematic time-lapse of a bustling city street transitioning from day to night.\",\n \"aspect_ratio\": \"832*480\",\n \"duration\": 5,\n \"seed\": 426\n }\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.vidgo.ai/api/generate/submit")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"wan2.5-text-to-video\",\n \"callback_url\": \"https://your-domain.com/callback\",\n \"input\": {\n \"prompt\": \"A cinematic time-lapse of a bustling city street transitioning from day to night.\",\n \"aspect_ratio\": \"832*480\",\n \"duration\": 5,\n \"seed\": 426\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.vidgo.ai/api/generate/submit")
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 = "{\n \"model\": \"wan2.5-text-to-video\",\n \"callback_url\": \"https://your-domain.com/callback\",\n \"input\": {\n \"prompt\": \"A cinematic time-lapse of a bustling city street transitioning from day to night.\",\n \"aspect_ratio\": \"832*480\",\n \"duration\": 5,\n \"seed\": 426\n }\n}"
response = http.request(request)
puts response.read_body{
"code": 200,
"data": {
"task_id": "task-unified-1757165031-uyujaw3d",
"status": "not_started",
"created_time": "2025-11-12T10:30:00"
}
}Alibaba
Wan 2.5 文生视频
Wan 2.5 API 使用 Alibaba Wan 2.5 进行文生视频
POST
/
api
/
generate
/
submit
提交 Wan 2.5 文生视频任务
curl --request POST \
--url https://api.vidgo.ai/api/generate/submit \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "wan2.5-text-to-video",
"callback_url": "https://your-domain.com/callback",
"input": {
"prompt": "A cinematic time-lapse of a bustling city street transitioning from day to night.",
"aspect_ratio": "832*480",
"duration": 5,
"seed": 426
}
}
'import requests
url = "https://api.vidgo.ai/api/generate/submit"
payload = {
"model": "wan2.5-text-to-video",
"callback_url": "https://your-domain.com/callback",
"input": {
"prompt": "A cinematic time-lapse of a bustling city street transitioning from day to night.",
"aspect_ratio": "832*480",
"duration": 5,
"seed": 426
}
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: 'wan2.5-text-to-video',
callback_url: 'https://your-domain.com/callback',
input: {
prompt: 'A cinematic time-lapse of a bustling city street transitioning from day to night.',
aspect_ratio: '832*480',
duration: 5,
seed: 426
}
})
};
fetch('https://api.vidgo.ai/api/generate/submit', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.vidgo.ai/api/generate/submit",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'model' => 'wan2.5-text-to-video',
'callback_url' => 'https://your-domain.com/callback',
'input' => [
'prompt' => 'A cinematic time-lapse of a bustling city street transitioning from day to night.',
'aspect_ratio' => '832*480',
'duration' => 5,
'seed' => 426
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://api.vidgo.ai/api/generate/submit"
payload := strings.NewReader("{\n \"model\": \"wan2.5-text-to-video\",\n \"callback_url\": \"https://your-domain.com/callback\",\n \"input\": {\n \"prompt\": \"A cinematic time-lapse of a bustling city street transitioning from day to night.\",\n \"aspect_ratio\": \"832*480\",\n \"duration\": 5,\n \"seed\": 426\n }\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.vidgo.ai/api/generate/submit")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"wan2.5-text-to-video\",\n \"callback_url\": \"https://your-domain.com/callback\",\n \"input\": {\n \"prompt\": \"A cinematic time-lapse of a bustling city street transitioning from day to night.\",\n \"aspect_ratio\": \"832*480\",\n \"duration\": 5,\n \"seed\": 426\n }\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.vidgo.ai/api/generate/submit")
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 = "{\n \"model\": \"wan2.5-text-to-video\",\n \"callback_url\": \"https://your-domain.com/callback\",\n \"input\": {\n \"prompt\": \"A cinematic time-lapse of a bustling city street transitioning from day to night.\",\n \"aspect_ratio\": \"832*480\",\n \"duration\": 5,\n \"seed\": 426\n }\n}"
response = http.request(request)
puts response.read_body{
"code": 200,
"data": {
"task_id": "task-unified-1757165031-uyujaw3d",
"status": "not_started",
"created_time": "2025-11-12T10:30:00"
}
}- 提交后会返回
task_id。如果提供了callback_url,当任务状态变为finished或failed时,系统会向callback_url发送 POST 请求。 - 无论是否提供
callback_url,都可以通过统一的查询任务状态接口获取结果。
wan2.5-text-to-video 是 Wan 2.5 视频系列中的纯文本分支,支持多种尺寸预设,可生成 5 秒和 10 秒的视频。
模型
- wan2.5-text-to-video - 根据文本提示词生成视频片段
关键参数
- 宽高比:
832*480、480*832、1280*720、720*1280、1920*1080、1080*1920 - 时长:
5或10秒 - 可选控制:
audio字符串、negative_prompt、seed
工作流 ID
原有 ID 仍可使用。新接入可选择专用的工作流:注意事项
- 如果提供
audio,必须是字符串,不要传布尔值。
授权
所有 API 接口都需要 Bearer Token 认证
获取 API Key:
访问 API Key 管理页面(仪表盘 → API 密钥)获取 API Key
添加到请求头:
Authorization: Bearer VIDGO_API_KEY
请求体
application/json