Veo 视频生成
curl --request POST \
--url https://octopusx.ai/v1/videos \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "<string>",
"prompt": "<string>",
"size": "<string>",
"seconds": {},
"input_reference": [
"<string>"
],
"metadata": {},
"enable_upsample": true
}
'import requests
url = "https://octopusx.ai/v1/videos"
payload = {
"model": "<string>",
"prompt": "<string>",
"size": "<string>",
"seconds": {},
"input_reference": ["<string>"],
"metadata": {},
"enable_upsample": True
}
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: '<string>',
prompt: '<string>',
size: '<string>',
seconds: {},
input_reference: ['<string>'],
metadata: {},
enable_upsample: true
})
};
fetch('https://octopusx.ai/v1/videos', 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://octopusx.ai/v1/videos",
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' => '<string>',
'prompt' => '<string>',
'size' => '<string>',
'seconds' => [
],
'input_reference' => [
'<string>'
],
'metadata' => [
],
'enable_upsample' => true
]),
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://octopusx.ai/v1/videos"
payload := strings.NewReader("{\n \"model\": \"<string>\",\n \"prompt\": \"<string>\",\n \"size\": \"<string>\",\n \"seconds\": {},\n \"input_reference\": [\n \"<string>\"\n ],\n \"metadata\": {},\n \"enable_upsample\": true\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://octopusx.ai/v1/videos")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"<string>\",\n \"prompt\": \"<string>\",\n \"size\": \"<string>\",\n \"seconds\": {},\n \"input_reference\": [\n \"<string>\"\n ],\n \"metadata\": {},\n \"enable_upsample\": true\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://octopusx.ai/v1/videos")
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\": \"<string>\",\n \"prompt\": \"<string>\",\n \"size\": \"<string>\",\n \"seconds\": {},\n \"input_reference\": [\n \"<string>\"\n ],\n \"metadata\": {},\n \"enable_upsample\": true\n}"
response = http.request(request)
puts response.read_body{
"id": "video_abc123",
"object": "video",
"model": "veo_3_1-fast",
"status": "queued",
"progress": 0,
"created_at": 1735689600,
"seconds": "8",
"size": "720x1280"
}
OpenAI 格式
Veo 视频生成
使用 POST /v1/videos 调用 Veo 模型提交异步视频任务。
POST
https://octopusx.ai
/
v1
/
videos
Veo 视频生成
curl --request POST \
--url https://octopusx.ai/v1/videos \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "<string>",
"prompt": "<string>",
"size": "<string>",
"seconds": {},
"input_reference": [
"<string>"
],
"metadata": {},
"enable_upsample": true
}
'import requests
url = "https://octopusx.ai/v1/videos"
payload = {
"model": "<string>",
"prompt": "<string>",
"size": "<string>",
"seconds": {},
"input_reference": ["<string>"],
"metadata": {},
"enable_upsample": True
}
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: '<string>',
prompt: '<string>',
size: '<string>',
seconds: {},
input_reference: ['<string>'],
metadata: {},
enable_upsample: true
})
};
fetch('https://octopusx.ai/v1/videos', 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://octopusx.ai/v1/videos",
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' => '<string>',
'prompt' => '<string>',
'size' => '<string>',
'seconds' => [
],
'input_reference' => [
'<string>'
],
'metadata' => [
],
'enable_upsample' => true
]),
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://octopusx.ai/v1/videos"
payload := strings.NewReader("{\n \"model\": \"<string>\",\n \"prompt\": \"<string>\",\n \"size\": \"<string>\",\n \"seconds\": {},\n \"input_reference\": [\n \"<string>\"\n ],\n \"metadata\": {},\n \"enable_upsample\": true\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://octopusx.ai/v1/videos")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"<string>\",\n \"prompt\": \"<string>\",\n \"size\": \"<string>\",\n \"seconds\": {},\n \"input_reference\": [\n \"<string>\"\n ],\n \"metadata\": {},\n \"enable_upsample\": true\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://octopusx.ai/v1/videos")
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\": \"<string>\",\n \"prompt\": \"<string>\",\n \"size\": \"<string>\",\n \"seconds\": {},\n \"input_reference\": [\n \"<string>\"\n ],\n \"metadata\": {},\n \"enable_upsample\": true\n}"
response = http.request(request)
puts response.read_body{
"id": "video_abc123",
"object": "video",
"model": "veo_3_1-fast",
"status": "queued",
"progress": 0,
"created_at": 1735689600,
"seconds": "8",
"size": "720x1280"
}
Veo 视频生成
OpenAI 格式入口。若需使用统一视频的POST /v1/video/create,请见 创建视频。
Veo 系列当前通过 POST /v1/videos 提交,并以 JSON 提交为主。
- 路由入口是
POST /v1/videos。 - 当前模型只有
veo_3_1、veo_3_1-fast。 - 当前会把
size转换成metadata.output_config.resolution与aspect_ratio一并提交。 - 参考图仍由
input_reference表达,但 JSON 请求里通常表现为 URL、base64 或 Data URL。
当前模型
veo_3_1veo_3_1-fast
方法与路径
POST /v1/videos
请求示例
curl -X POST https://octopusx.ai/v1/videos \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "veo_3_1-fast",
"prompt": "在广场中央跳舞",
"size": "720x1280",
"seconds": "8",
"input_reference": "data:image/png;base64,BASE64_IMAGE",
"metadata": {
"output_config": {
"aspect_ratio": "9:16",
"audio_generation": "Disabled",
"resolution": "720P"
}
}
}'
import requests
resp = requests.post(
"https://octopusx.ai/v1/videos",
headers={
"Authorization": "Bearer YOUR_API_KEY",
"Content-Type": "application/json",
},
json={
"model": "veo_3_1-fast",
"prompt": "在广场中央跳舞",
"size": "720x1280",
"seconds": "8",
"input_reference": "data:image/png;base64,BASE64_IMAGE",
"metadata": {
"output_config": {
"aspect_ratio": "9:16",
"audio_generation": "Disabled",
"resolution": "720P",
}
},
},
timeout=60,
)
print(resp.json())
const response = await fetch("https://octopusx.ai/v1/videos", {
method: "POST",
headers: {
Authorization: "Bearer YOUR_API_KEY",
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "veo_3_1-fast",
prompt: "在广场中央跳舞",
size: "720x1280",
seconds: "8",
input_reference: "data:image/png;base64,BASE64_IMAGE",
metadata: {
output_config: {
aspect_ratio: "9:16",
audio_generation: "Disabled",
resolution: "720P",
},
},
}),
});
console.log(await response.json());
响应示例
{
"id": "video_abc123",
"object": "video",
"model": "veo_3_1-fast",
"status": "queued",
"progress": 0,
"created_at": 1735689600,
"seconds": "8",
"size": "720x1280"
}
认证
Authorization: Bearer YOUR_API_KEY
Body
模型名称。当前只整理
veo_3_1 与 veo_3_1-fast。提示词。
尺寸字符串。当前常见会传
720x1280 或 1280x720,并据此推导 Veo 的分辨率和宽高比。目标时长。当前通过
seconds 提交;网关也会兼容 duration 与 metadata.durationSeconds。参考图输入。当前 JSON 请求可使用 URL、base64、data URI;Veo 适配层也兼容 multipart 文件上传。
扩展配置。Veo 链路会继续解析
metadata 到 Veo 上游的 DurationSeconds、AspectRatio、Resolution 等字段。这是你给的 Apifox 字段参考,但从当前仓库主链路看,它不是 Veo 通用 DTO 的显式顶层字段。若要表达清晰度或分辨率,当前更建议使用
size 与 metadata。当前规则
| 项目 | 规则 |
|---|---|
| 请求格式 | JSON |
| 参考图格式 | 支持 URL、base64、data URI,也兼容 multipart 文件 |
| 参考生视频模式 | 会把宽高比强制收敛到 16:9 |
| 参数映射 | size 会进一步映射到 Veo 所需的 resolution、aspectRatio |
相关接口
⌘I