veo3.1-pro接口
curl --request POST \
--url https://api.evolink.ai/v1/videos/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "veo3.1-pro-beta",
"prompt": "A cat playing piano"
}
'import requests
url = "https://api.evolink.ai/v1/videos/generations"
payload = {
"model": "veo3.1-pro-beta",
"prompt": "A cat playing piano"
}
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: 'veo3.1-pro-beta', prompt: 'A cat playing piano'})
};
fetch('https://api.evolink.ai/v1/videos/generations', 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.evolink.ai/v1/videos/generations",
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' => 'veo3.1-pro-beta',
'prompt' => 'A cat playing piano'
]),
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.evolink.ai/v1/videos/generations"
payload := strings.NewReader("{\n \"model\": \"veo3.1-pro-beta\",\n \"prompt\": \"A cat playing piano\"\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.evolink.ai/v1/videos/generations")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"veo3.1-pro-beta\",\n \"prompt\": \"A cat playing piano\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.evolink.ai/v1/videos/generations")
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\": \"veo3.1-pro-beta\",\n \"prompt\": \"A cat playing piano\"\n}"
response = http.request(request)
puts response.read_body{
"created": 1757169743,
"id": "task-unified-1757169743-7cvnl5zw",
"model": "veo3.1-pro-beta",
"object": "video.generation.task",
"progress": 0,
"status": "pending",
"task_info": {
"can_cancel": true,
"estimated_time": 180,
"video_duration": 8
},
"type": "video",
"usage": {
"billing_rule": "per_call",
"credits_reserved": 25.7,
"user_group": "default"
}
}{
"error": {
"code": "invalid_request",
"message": "Invalid request parameters",
"type": "invalid_request_error"
}
}{
"error": {
"code": "unauthorized",
"message": "Invalid or expired token",
"type": "authentication_error"
}
}{
"error": {
"code": "insufficient_quota",
"message": "Insufficient quota. Please top up your account.",
"type": "insufficient_quota"
}
}{
"error": {
"code": "model_access_denied",
"message": "Token does not have access to model: veo3.1-pro-beta",
"type": "invalid_request_error"
}
}{
"error": {
"code": "rate_limit_exceeded",
"message": "Too many requests, please try again later",
"type": "rate_limit_error"
}
}{
"error": {
"code": "internal_error",
"message": "Internal server error",
"type": "api_error"
}
}Veo3.1
Veo3.1-Pro 视频生成 Beta
- Veo 3.1 Pro (veo3.1-pro-beta) 模型支持文生视频、首尾帧图生视频等多种模式
- 异步处理模式,使用返回的任务ID 进行查询
- 生成的视频链接,有效期为24小时,请尽快保存
POST
/
v1
/
videos
/
generations
veo3.1-pro接口
curl --request POST \
--url https://api.evolink.ai/v1/videos/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "veo3.1-pro-beta",
"prompt": "A cat playing piano"
}
'import requests
url = "https://api.evolink.ai/v1/videos/generations"
payload = {
"model": "veo3.1-pro-beta",
"prompt": "A cat playing piano"
}
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: 'veo3.1-pro-beta', prompt: 'A cat playing piano'})
};
fetch('https://api.evolink.ai/v1/videos/generations', 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.evolink.ai/v1/videos/generations",
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' => 'veo3.1-pro-beta',
'prompt' => 'A cat playing piano'
]),
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.evolink.ai/v1/videos/generations"
payload := strings.NewReader("{\n \"model\": \"veo3.1-pro-beta\",\n \"prompt\": \"A cat playing piano\"\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.evolink.ai/v1/videos/generations")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"veo3.1-pro-beta\",\n \"prompt\": \"A cat playing piano\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.evolink.ai/v1/videos/generations")
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\": \"veo3.1-pro-beta\",\n \"prompt\": \"A cat playing piano\"\n}"
response = http.request(request)
puts response.read_body{
"created": 1757169743,
"id": "task-unified-1757169743-7cvnl5zw",
"model": "veo3.1-pro-beta",
"object": "video.generation.task",
"progress": 0,
"status": "pending",
"task_info": {
"can_cancel": true,
"estimated_time": 180,
"video_duration": 8
},
"type": "video",
"usage": {
"billing_rule": "per_call",
"credits_reserved": 25.7,
"user_group": "default"
}
}{
"error": {
"code": "invalid_request",
"message": "Invalid request parameters",
"type": "invalid_request_error"
}
}{
"error": {
"code": "unauthorized",
"message": "Invalid or expired token",
"type": "authentication_error"
}
}{
"error": {
"code": "insufficient_quota",
"message": "Insufficient quota. Please top up your account.",
"type": "insufficient_quota"
}
}{
"error": {
"code": "model_access_denied",
"message": "Token does not have access to model: veo3.1-pro-beta",
"type": "invalid_request_error"
}
}{
"error": {
"code": "rate_limit_exceeded",
"message": "Too many requests, please try again later",
"type": "rate_limit_error"
}
}{
"error": {
"code": "internal_error",
"message": "Internal server error",
"type": "api_error"
}
}授权
##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
请求体
application/json
视频生成模型名称
向后兼容: 之前接入的模型名 veo3.1-pro 仍然可用,会自动映射到 veo3.1-pro-beta
可用选项:
veo3.1-pro-beta 示例:
"veo3.1-pro-beta"
提示词,描述想要生成什么样的视频,限制为2000token
Maximum string length:
2000示例:
"A cat playing piano"
视频宽高比。设置为 auto 时:图生视频会根据输入图片的比例自动选择,文生视频会根据提示词内容自动选择
可用选项:
auto, 16:9, 9:16 示例:
"auto"
参考图像URL列表,用于图生视频功能
注意:
- 单次请求最多支持输入
2张图像(输入1张图像为首帧图生视频,输入2张图像为首尾帧生视频) - 图像大小:不超过
10MB - 支持的文件格式:
.jpg、.jpeg、.png、.webp - 图像URL需要服务器能直接查看,或者图像URL在访问时会直接进行下载(一般这种URL是以图像的扩展名作为结尾,例如
.png、.jpg)
Maximum array length:
2示例:
["http://example.com/image1.jpg"]
视频分辨率,默认为720p
可用选项:
720p 视频生成模式,默认会根据图像数量进行匹配,建议手动选择,可选两种模式:
TEXT:文本生视频FIRST&LAST:首尾帧生视频,可传入1~2张图像
可用选项:
TEXT, FIRST&LAST 是否自动将提示词翻译为英文。启用后,非英文的提示词会被自动翻译成英文以获得更好的生成效果
示例:
true
任务完成后的HTTPS回调地址
回调时机:
- 任务完成(completed)、失败(failed)或取消(cancelled)时触发
- 在计费确认完成后发送
安全限制:
- 仅支持HTTPS协议
- 禁止回调到内网IP地址(127.0.0.1、10.x.x.x、172.16-31.x.x、192.168.x.x等)
- URL长度不超过
2048字符
回调机制:
- 超时时间:
10秒 - 失败后最多重试
3次(会分别在失败的1秒/2秒/4秒后进行重试) - 回调响应体格式与任务查询接口返回的格式一致
- 回调地址若返回2xx状态码视为成功,其他状态码会触发重试
示例:
"https://your-domain.com/webhooks/video-task-completed"
响应
视频生成任务创建成功
任务创建时间戳
示例:
1757169743
任务ID
示例:
"task-unified-1757169743-7cvnl5zw"
实际使用的模型名称
示例:
"veo3.1-pro-beta"
任务的具体类型
可用选项:
video.generation.task 任务进度百分比 (0-100)
必填范围:
0 <= x <= 100示例:
0
任务状态
可用选项:
pending, processing, completed, failed 示例:
"pending"
视频任务详细信息
Show child attributes
Show child attributes
任务的输出类型
可用选项:
text, image, audio, video 示例:
"video"
使用量和计费信息
Show child attributes
Show child attributes