curl --request POST \
--url https://api.apimart.ai/v1/videos/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "sora-2",
"prompt": "瀑布倾泻而下形成彩虹",
"duration": 8,
"resolution": "720p",
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
}'
import requests
url = "https://api.apimart.ai/v1/videos/generations"
payload = {
"model": "sora-2",
"prompt": "瀑布倾泻而下形成彩虹",
"duration": 8,
"resolution": "720p",
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
}
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: "sora-2",
prompt: "瀑布倾泻而下形成彩虹",
duration: 8,
resolution: "720p",
aspect_ratio: "16:9",
image_urls: [
"https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png",
],
};
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": "sora-2",
"prompt": "瀑布倾泻而下形成彩虹",
"duration": 8,
"resolution": "720p",
"aspect_ratio": "16:9",
"image_urls": []string{"https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"},
}
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": "sora-2",
"prompt": "瀑布倾泻而下形成彩虹",
"duration": 8,
"resolution": "720p",
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
}
""";
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" => "sora-2",
"prompt" => "瀑布倾泻而下形成彩虹",
"duration" => 8,
"resolution" => "720p",
"aspect_ratio" => "16:9",
"image_urls" => ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
];
$ch = curl_init($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: "sora-2",
prompt: "瀑布倾泻而下形成彩虹",
duration: 8,
resolution: "720p",
aspect_ratio: "16:9",
image_urls: ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
}
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": "sora-2",
"prompt": "瀑布倾泻而下形成彩虹",
"duration": 8,
"resolution": "720p",
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
]
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"": ""sora-2"",
""prompt"": ""瀑布倾泻而下形成彩虹"",
""duration"": 8,
""resolution"": ""720p"",
""aspect_ratio"": ""16:9"",
""image_urls"": [""https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png""]
}";
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);
}
}
#include <stdio.h>
#include <curl/curl.h>
int main(void) {
CURL *curl;
CURLcode res;
curl_global_init(CURL_GLOBAL_DEFAULT);
curl = curl_easy_init();
if(curl) {
const char *url = "https://api.apimart.ai/v1/videos/generations";
const char *payload = "{"
"\"model\":\"sora-2\","
"\"prompt\":\"瀑布倾泻而下形成彩虹\","
"\"duration\":8,"
"\"resolution\":\"720p\","
"\"aspect_ratio\":\"16:9\","
"\"image_urls\":[\"https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png\"]"
"}";
struct curl_slist *headers = NULL;
headers = curl_slist_append(headers, "Authorization: Bearer <token>");
headers = curl_slist_append(headers, "Content-Type: application/json");
curl_easy_setopt(curl, CURLOPT_URL, url);
curl_easy_setopt(curl, CURLOPT_POSTFIELDS, payload);
curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
res = curl_easy_perform(curl);
if(res != CURLE_OK) {
fprintf(stderr, "curl_easy_perform() failed: %s\n",
curl_easy_strerror(res));
}
curl_slist_free_all(headers);
curl_easy_cleanup(curl);
}
curl_global_cleanup();
return 0;
}
#import <Foundation/Foundation.h>
int main(int argc, const char * argv[]) {
@autoreleasepool {
NSURL *url = [NSURL URLWithString:@"https://api.apimart.ai/v1/videos/generations"];
NSDictionary *payload = @{
@"model": @"sora-2",
@"prompt": @"瀑布倾泻而下形成彩虹",
@"duration": @8,
@"resolution": @"720p",
@"aspect_ratio": @"16:9",
@"image_urls": @[@"https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
};
NSError *error;
NSData *jsonData = [NSJSONSerialization dataWithJSONObject:payload
options:0
error:&error];
NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:url];
[request setHTTPMethod:@"POST"];
[request setValue:@"Bearer <token>" forHTTPHeaderField:@"Authorization"];
[request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
[request setHTTPBody:jsonData];
NSURLSessionDataTask *task = [[NSURLSession sharedSession]
dataTaskWithRequest:request
completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
if (error) {
NSLog(@"Error: %@", error);
return;
}
NSString *result = [[NSString alloc] initWithData:data
encoding:NSUTF8StringEncoding];
NSLog(@"%@", result);
}];
[task resume];
[[NSRunLoop mainRunLoop] run];
}
return 0;
}
(* Requires cohttp and yojson libraries *)
open Lwt
open Cohttp
open Cohttp_lwt_unix
let url = "https://api.apimart.ai/v1/videos/generations"
let payload = {|{
"model": "sora-2",
"prompt": "瀑布倾泻而下形成彩虹",
"duration": 8,
"resolution": "720p",
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
}|}
let () =
let headers = Header.init ()
|> fun h -> Header.add h "Authorization" "Bearer <token>"
|> fun h -> Header.add h "Content-Type" "application/json"
in
let body = Cohttp_lwt.Body.of_string payload in
let response = Client.post ~headers ~body (Uri.of_string url) >>= fun (resp, body) ->
body |> Cohttp_lwt.Body.to_string >|= fun body_str ->
print_endline body_str
in
Lwt_main.run response
import 'dart:convert';
import 'package:http/http.dart' as http;
void main() async {
final url = Uri.parse('https://api.apimart.ai/v1/videos/generations');
final payload = {
'model': 'sora-2',
'prompt': '瀑布倾泻而下形成彩虹',
'duration': 8,
'resolution': '720p',
'aspect_ratio': '16:9',
'image_urls': ['https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png']
};
final response = await http.post(
url,
headers: {
'Authorization': 'Bearer <token>',
'Content-Type': 'application/json',
},
body: jsonEncode(payload),
);
print(response.body);
}
library(httr)
library(jsonlite)
url <- "https://api.apimart.ai/v1/videos/generations"
payload <- list(
model = "sora-2",
prompt = "瀑布倾泻而下形成彩虹",
duration = 8,
resolution = "720p",
aspect_ratio = "16:9",
image_urls = c("https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png")
)
response <- POST(
url,
add_headers(
Authorization = "Bearer <token>",
`Content-Type` = "application/json"
),
body = toJSON(payload, auto_unbox = TRUE),
encode = "raw"
)
cat(content(response, "text"))
{
"code": 200,
"data": [
{
"status": "submitted",
"task_id": "task_01K8SGYNNNVBQTXNR4MM964S7K"
}
]
}
{
"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": 403,
"message": "访问被禁止,您没有权限访问此资源",
"type": "permission_error"
}
}
{
"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"
}
}
{
"error": {
"code": 502,
"message": "网关错误,服务器暂时不可用",
"type": "bad_gateway"
}
}
Sora2
Sora2 视频生成
- 异步处理模式,返回任务ID用于后续查询
- 支持文本转视频、图生视频等多种生成模式
- 支持
sora-2与sora-2-pro两个模型 - 生成的视频链接,有效期为24小时,请尽快保存
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": "sora-2",
"prompt": "瀑布倾泻而下形成彩虹",
"duration": 8,
"resolution": "720p",
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
}'
import requests
url = "https://api.apimart.ai/v1/videos/generations"
payload = {
"model": "sora-2",
"prompt": "瀑布倾泻而下形成彩虹",
"duration": 8,
"resolution": "720p",
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
}
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: "sora-2",
prompt: "瀑布倾泻而下形成彩虹",
duration: 8,
resolution: "720p",
aspect_ratio: "16:9",
image_urls: [
"https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png",
],
};
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": "sora-2",
"prompt": "瀑布倾泻而下形成彩虹",
"duration": 8,
"resolution": "720p",
"aspect_ratio": "16:9",
"image_urls": []string{"https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"},
}
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": "sora-2",
"prompt": "瀑布倾泻而下形成彩虹",
"duration": 8,
"resolution": "720p",
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
}
""";
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" => "sora-2",
"prompt" => "瀑布倾泻而下形成彩虹",
"duration" => 8,
"resolution" => "720p",
"aspect_ratio" => "16:9",
"image_urls" => ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
];
$ch = curl_init($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: "sora-2",
prompt: "瀑布倾泻而下形成彩虹",
duration: 8,
resolution: "720p",
aspect_ratio: "16:9",
image_urls: ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
}
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": "sora-2",
"prompt": "瀑布倾泻而下形成彩虹",
"duration": 8,
"resolution": "720p",
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
]
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"": ""sora-2"",
""prompt"": ""瀑布倾泻而下形成彩虹"",
""duration"": 8,
""resolution"": ""720p"",
""aspect_ratio"": ""16:9"",
""image_urls"": [""https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png""]
}";
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);
}
}
#include <stdio.h>
#include <curl/curl.h>
int main(void) {
CURL *curl;
CURLcode res;
curl_global_init(CURL_GLOBAL_DEFAULT);
curl = curl_easy_init();
if(curl) {
const char *url = "https://api.apimart.ai/v1/videos/generations";
const char *payload = "{"
"\"model\":\"sora-2\","
"\"prompt\":\"瀑布倾泻而下形成彩虹\","
"\"duration\":8,"
"\"resolution\":\"720p\","
"\"aspect_ratio\":\"16:9\","
"\"image_urls\":[\"https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png\"]"
"}";
struct curl_slist *headers = NULL;
headers = curl_slist_append(headers, "Authorization: Bearer <token>");
headers = curl_slist_append(headers, "Content-Type: application/json");
curl_easy_setopt(curl, CURLOPT_URL, url);
curl_easy_setopt(curl, CURLOPT_POSTFIELDS, payload);
curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
res = curl_easy_perform(curl);
if(res != CURLE_OK) {
fprintf(stderr, "curl_easy_perform() failed: %s\n",
curl_easy_strerror(res));
}
curl_slist_free_all(headers);
curl_easy_cleanup(curl);
}
curl_global_cleanup();
return 0;
}
#import <Foundation/Foundation.h>
int main(int argc, const char * argv[]) {
@autoreleasepool {
NSURL *url = [NSURL URLWithString:@"https://api.apimart.ai/v1/videos/generations"];
NSDictionary *payload = @{
@"model": @"sora-2",
@"prompt": @"瀑布倾泻而下形成彩虹",
@"duration": @8,
@"resolution": @"720p",
@"aspect_ratio": @"16:9",
@"image_urls": @[@"https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
};
NSError *error;
NSData *jsonData = [NSJSONSerialization dataWithJSONObject:payload
options:0
error:&error];
NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:url];
[request setHTTPMethod:@"POST"];
[request setValue:@"Bearer <token>" forHTTPHeaderField:@"Authorization"];
[request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
[request setHTTPBody:jsonData];
NSURLSessionDataTask *task = [[NSURLSession sharedSession]
dataTaskWithRequest:request
completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
if (error) {
NSLog(@"Error: %@", error);
return;
}
NSString *result = [[NSString alloc] initWithData:data
encoding:NSUTF8StringEncoding];
NSLog(@"%@", result);
}];
[task resume];
[[NSRunLoop mainRunLoop] run];
}
return 0;
}
(* Requires cohttp and yojson libraries *)
open Lwt
open Cohttp
open Cohttp_lwt_unix
let url = "https://api.apimart.ai/v1/videos/generations"
let payload = {|{
"model": "sora-2",
"prompt": "瀑布倾泻而下形成彩虹",
"duration": 8,
"resolution": "720p",
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
}|}
let () =
let headers = Header.init ()
|> fun h -> Header.add h "Authorization" "Bearer <token>"
|> fun h -> Header.add h "Content-Type" "application/json"
in
let body = Cohttp_lwt.Body.of_string payload in
let response = Client.post ~headers ~body (Uri.of_string url) >>= fun (resp, body) ->
body |> Cohttp_lwt.Body.to_string >|= fun body_str ->
print_endline body_str
in
Lwt_main.run response
import 'dart:convert';
import 'package:http/http.dart' as http;
void main() async {
final url = Uri.parse('https://api.apimart.ai/v1/videos/generations');
final payload = {
'model': 'sora-2',
'prompt': '瀑布倾泻而下形成彩虹',
'duration': 8,
'resolution': '720p',
'aspect_ratio': '16:9',
'image_urls': ['https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png']
};
final response = await http.post(
url,
headers: {
'Authorization': 'Bearer <token>',
'Content-Type': 'application/json',
},
body: jsonEncode(payload),
);
print(response.body);
}
library(httr)
library(jsonlite)
url <- "https://api.apimart.ai/v1/videos/generations"
payload <- list(
model = "sora-2",
prompt = "瀑布倾泻而下形成彩虹",
duration = 8,
resolution = "720p",
aspect_ratio = "16:9",
image_urls = c("https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png")
)
response <- POST(
url,
add_headers(
Authorization = "Bearer <token>",
`Content-Type` = "application/json"
),
body = toJSON(payload, auto_unbox = TRUE),
encode = "raw"
)
cat(content(response, "text"))
{
"code": 200,
"data": [
{
"status": "submitted",
"task_id": "task_01K8SGYNNNVBQTXNR4MM964S7K"
}
]
}
{
"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": 403,
"message": "访问被禁止,您没有权限访问此资源",
"type": "permission_error"
}
}
{
"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"
}
}
{
"error": {
"code": 502,
"message": "网关错误,服务器暂时不可用",
"type": "bad_gateway"
}
}
curl --request POST \
--url https://api.apimart.ai/v1/videos/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "sora-2",
"prompt": "瀑布倾泻而下形成彩虹",
"duration": 8,
"resolution": "720p",
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
}'
import requests
url = "https://api.apimart.ai/v1/videos/generations"
payload = {
"model": "sora-2",
"prompt": "瀑布倾泻而下形成彩虹",
"duration": 8,
"resolution": "720p",
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
}
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: "sora-2",
prompt: "瀑布倾泻而下形成彩虹",
duration: 8,
resolution: "720p",
aspect_ratio: "16:9",
image_urls: [
"https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png",
],
};
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": "sora-2",
"prompt": "瀑布倾泻而下形成彩虹",
"duration": 8,
"resolution": "720p",
"aspect_ratio": "16:9",
"image_urls": []string{"https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"},
}
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": "sora-2",
"prompt": "瀑布倾泻而下形成彩虹",
"duration": 8,
"resolution": "720p",
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
}
""";
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" => "sora-2",
"prompt" => "瀑布倾泻而下形成彩虹",
"duration" => 8,
"resolution" => "720p",
"aspect_ratio" => "16:9",
"image_urls" => ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
];
$ch = curl_init($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: "sora-2",
prompt: "瀑布倾泻而下形成彩虹",
duration: 8,
resolution: "720p",
aspect_ratio: "16:9",
image_urls: ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
}
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": "sora-2",
"prompt": "瀑布倾泻而下形成彩虹",
"duration": 8,
"resolution": "720p",
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
]
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"": ""sora-2"",
""prompt"": ""瀑布倾泻而下形成彩虹"",
""duration"": 8,
""resolution"": ""720p"",
""aspect_ratio"": ""16:9"",
""image_urls"": [""https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png""]
}";
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);
}
}
#include <stdio.h>
#include <curl/curl.h>
int main(void) {
CURL *curl;
CURLcode res;
curl_global_init(CURL_GLOBAL_DEFAULT);
curl = curl_easy_init();
if(curl) {
const char *url = "https://api.apimart.ai/v1/videos/generations";
const char *payload = "{"
"\"model\":\"sora-2\","
"\"prompt\":\"瀑布倾泻而下形成彩虹\","
"\"duration\":8,"
"\"resolution\":\"720p\","
"\"aspect_ratio\":\"16:9\","
"\"image_urls\":[\"https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png\"]"
"}";
struct curl_slist *headers = NULL;
headers = curl_slist_append(headers, "Authorization: Bearer <token>");
headers = curl_slist_append(headers, "Content-Type: application/json");
curl_easy_setopt(curl, CURLOPT_URL, url);
curl_easy_setopt(curl, CURLOPT_POSTFIELDS, payload);
curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
res = curl_easy_perform(curl);
if(res != CURLE_OK) {
fprintf(stderr, "curl_easy_perform() failed: %s\n",
curl_easy_strerror(res));
}
curl_slist_free_all(headers);
curl_easy_cleanup(curl);
}
curl_global_cleanup();
return 0;
}
#import <Foundation/Foundation.h>
int main(int argc, const char * argv[]) {
@autoreleasepool {
NSURL *url = [NSURL URLWithString:@"https://api.apimart.ai/v1/videos/generations"];
NSDictionary *payload = @{
@"model": @"sora-2",
@"prompt": @"瀑布倾泻而下形成彩虹",
@"duration": @8,
@"resolution": @"720p",
@"aspect_ratio": @"16:9",
@"image_urls": @[@"https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
};
NSError *error;
NSData *jsonData = [NSJSONSerialization dataWithJSONObject:payload
options:0
error:&error];
NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:url];
[request setHTTPMethod:@"POST"];
[request setValue:@"Bearer <token>" forHTTPHeaderField:@"Authorization"];
[request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
[request setHTTPBody:jsonData];
NSURLSessionDataTask *task = [[NSURLSession sharedSession]
dataTaskWithRequest:request
completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
if (error) {
NSLog(@"Error: %@", error);
return;
}
NSString *result = [[NSString alloc] initWithData:data
encoding:NSUTF8StringEncoding];
NSLog(@"%@", result);
}];
[task resume];
[[NSRunLoop mainRunLoop] run];
}
return 0;
}
(* Requires cohttp and yojson libraries *)
open Lwt
open Cohttp
open Cohttp_lwt_unix
let url = "https://api.apimart.ai/v1/videos/generations"
let payload = {|{
"model": "sora-2",
"prompt": "瀑布倾泻而下形成彩虹",
"duration": 8,
"resolution": "720p",
"aspect_ratio": "16:9",
"image_urls": ["https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png"]
}|}
let () =
let headers = Header.init ()
|> fun h -> Header.add h "Authorization" "Bearer <token>"
|> fun h -> Header.add h "Content-Type" "application/json"
in
let body = Cohttp_lwt.Body.of_string payload in
let response = Client.post ~headers ~body (Uri.of_string url) >>= fun (resp, body) ->
body |> Cohttp_lwt.Body.to_string >|= fun body_str ->
print_endline body_str
in
Lwt_main.run response
import 'dart:convert';
import 'package:http/http.dart' as http;
void main() async {
final url = Uri.parse('https://api.apimart.ai/v1/videos/generations');
final payload = {
'model': 'sora-2',
'prompt': '瀑布倾泻而下形成彩虹',
'duration': 8,
'resolution': '720p',
'aspect_ratio': '16:9',
'image_urls': ['https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png']
};
final response = await http.post(
url,
headers: {
'Authorization': 'Bearer <token>',
'Content-Type': 'application/json',
},
body: jsonEncode(payload),
);
print(response.body);
}
library(httr)
library(jsonlite)
url <- "https://api.apimart.ai/v1/videos/generations"
payload <- list(
model = "sora-2",
prompt = "瀑布倾泻而下形成彩虹",
duration = 8,
resolution = "720p",
aspect_ratio = "16:9",
image_urls = c("https://cdn.apimart.ai/doc/9998238782946594-f62f70ce-348c-4b13-bb5f-15f17bee676b-image_task_01K88BEGZHVJWJ3ZV6HY99SWQR_0.png")
)
response <- POST(
url,
add_headers(
Authorization = "Bearer <token>",
`Content-Type` = "application/json"
),
body = toJSON(payload, auto_unbox = TRUE),
encode = "raw"
)
cat(content(response, "text"))
{
"code": 200,
"data": [
{
"status": "submitted",
"task_id": "task_01K8SGYNNNVBQTXNR4MM964S7K"
}
]
}
{
"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": 403,
"message": "访问被禁止,您没有权限访问此资源",
"type": "permission_error"
}
}
{
"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"
}
}
{
"error": {
"code": 502,
"message": "网关错误,服务器暂时不可用",
"type": "bad_gateway"
}
}
Authorizations
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
Body
视频生成模型名称支持的模型:
sora-2Sora 2 标准版sora-2-proSora 2 Pro
"sora-2"视频生成的文本描述示例:
"瀑布倾泻而下形成彩虹"支持的取值:
4、8、12、16、20示例:8视频分辨率支持的取值:
不传时默认
| 模型 | 可传值 |
|---|---|
sora-2 | 720p |
sora-2-pro | 720p、1024p、1080p |
720p。示例:"720p"视频宽高比,控制横屏或竖屏支持的取值:
不传时默认横屏。
| 方向 | 可传值 |
|---|---|
| 横屏 | 16:9、landscape |
| 竖屏 | 9:16、portrait |
当传入
image_urls(图生视频)时,aspect_ratio 参数失效,无需上传;视频方向将依据参考图自动判定。用于图生视频的参考图像 URL 数组
- 不传为文生视频;传 1 张为图生视频
- 最多 1 张
- 支持公网可访问的图片 URL(http:// 或 https://)
- 支持格式:
.jpeg、.jpg、.png、.webp - 最大文件大小:10MB
["https://example.com/image.jpg"]Response
响应状态码,成功时为 200
⌘I