Sora格式
curl --request POST \
--url https://api.gravitex.ai/v1/videos \
--header 'Authorization: <authorization>'import requests
url = "https://api.gravitex.ai/v1/videos"
headers = {"Authorization": "<authorization>"}
response = requests.post(url, headers=headers)
print(response.text)const options = {method: 'POST', headers: {Authorization: '<authorization>'}};
fetch('https://api.gravitex.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://api.gravitex.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_HTTPHEADER => [
"Authorization: <authorization>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://api.gravitex.ai/v1/videos"
req, _ := http.NewRequest("POST", url, nil)
req.Header.Add("Authorization", "<authorization>")
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.gravitex.ai/v1/videos")
.header("Authorization", "<authorization>")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.gravitex.ai/v1/videos")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = '<authorization>'
response = http.request(request)
puts response.read_bodySora格式
OpenAI 兼容 POST /v1/videos 视频接口
POST
/
v1
/
videos
Sora格式
curl --request POST \
--url https://api.gravitex.ai/v1/videos \
--header 'Authorization: <authorization>'import requests
url = "https://api.gravitex.ai/v1/videos"
headers = {"Authorization": "<authorization>"}
response = requests.post(url, headers=headers)
print(response.text)const options = {method: 'POST', headers: {Authorization: '<authorization>'}};
fetch('https://api.gravitex.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://api.gravitex.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_HTTPHEADER => [
"Authorization: <authorization>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://api.gravitex.ai/v1/videos"
req, _ := http.NewRequest("POST", url, nil)
req.Header.Add("Authorization", "<authorization>")
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.gravitex.ai/v1/videos")
.header("Authorization", "<authorization>")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.gravitex.ai/v1/videos")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = '<authorization>'
response = http.request(request)
puts response.read_body简介
Sora 2 除可通过统一接口 提交视频任务(POST /v1/video/generations)调用外,还支持 OpenAI Videos API 原生路径:
- 创建任务:
POST /v1/videos(推荐multipart/form-data) - 查询任务:
GET /v1/videos/{task_id} - 下载视频:下载视频(
GET /v1/video/generations/download?id=...)
仅 Sora 2 系列使用
/v1/videos 与专用下载接口;Veo、万相、Seedance 等请使用 /v1/video/generations。认证
string
必填
Bearer Token,如
Bearer sk-xxxxxxxxxx支持的模型
| 模型 ID | 说明 |
|---|---|
sora-2 | 文生视频、图生视频、Remix 视频生视频 |
请求示例
- 创建任务(multipart)
- 查询任务
- 统一接口(可选)
curl -X POST "https://api.gravitex.ai/v1/videos" \
-H "Authorization: Bearer sk-xxxxxxxxxx" \
-F "model=sora-2" \
-F "prompt=一只可爱的小猫在花园里玩耍,阳光明媚" \
-F "seconds=4" \
-F "size=1280x720"
curl -X POST "https://api.gravitex.ai/v1/videos" \
-H "Authorization: Bearer sk-xxxxxxxxxx" \
-F "model=sora-2" \
-F "prompt=小猫慢慢睁开眼睛" \
-F "seconds=4" \
-F "size=720x1280" \
-F "input_reference=@reference.png"
curl -X GET "https://api.gravitex.ai/v1/videos/video_69095b4ce0048190893a01510c0c98b0" \
-H "Authorization: Bearer sk-xxxxxxxxxx"
也可使用 JSON 统一入口,参数见 提交视频任务 中 Sora 2 示例:轮询使用 查询视频任务(
curl -X POST "https://api.gravitex.ai/v1/video/generations" \
-H "Authorization: Bearer sk-xxxxxxxxxx" \
-H "Content-Type: application/json" \
-d '{
"model": "sora-2",
"prompt": "一只可爱的小猫在花园里玩耍",
"seconds": "4",
"size": "1280x720"
}'
GET /v1/video/generations/{task_id})。常用参数
- model:
sora-2 - prompt:画面描述
- seconds:时长,支持
4、8、12 - size:
1280x720(横屏)或720x1280(竖屏) - input_reference:参考图(图生视频)
- remix_from_video_id:Remix 模式,基于已有
video_前缀任务 ID
⌘I
