curl --request POST \
--url https://api.apimart.ai/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "gpt-4o-image",
"prompt": "海の上の鮮やかな色彩の美しい夕焼け",
"size": "1:1",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_0.png"
]
}'
import requests
url = "https://api.apimart.ai/v1/images/generations"
payload = {
"model": "gpt-4o-image",
"prompt": "海の上の鮮やかな色彩の美しい夕焼け",
"size": "1:1",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations";
const payload = {
model: "gpt-4o-image",
prompt: "海の上の鮮やかな色彩の美しい夕焼け",
size: "1:1",
n: 1,
image_urls: [
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations"
payload := map[string]interface{}{
"model": "gpt-4o-image",
"prompt": "海の上の鮮やかな色彩の美しい夕焼け",
"size": "1:1",
"n": 1,
"image_urls": []string{
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations";
String payload = """
{
"model": "gpt-4o-image",
"prompt": "海の上の鮮やかな色彩の美しい夕焼け",
"size": "1:1",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations";
$payload = [
"model" => "gpt-4o-image",
"prompt" => "星空の下の古城",
"size" => "1:1",
"n" => 1,
"image_urls" => [
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations")
payload = {
model: "gpt-4o-image",
prompt: "海の上の鮮やかな色彩の美しい夕焼け",
size: "1:1",
n: 1,
image_urls: [
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations")!
let payload: [String: Any] = [
"model": "gpt-4o-image",
"prompt": "海の上の鮮やかな色彩の美しい夕焼け",
"size": "1:1",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations";
var payload = @"{
""model"": ""gpt-4o-image"",
""prompt"": ""星空の下の古城"",
""size"": ""1:1"",
""n"": 1,
""image_urls"": [
""https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations";
const char *payload = "{"
"\"model\":\"gpt-4o-image\","
"\"prompt\":\"星空の下の古城\","
"\"size\":\"1:1\","
"\"n\":1,"
"\"image_urls\":[\"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations"];
NSDictionary *payload = @{
@"model": @"gpt-4o-image",
@"prompt": @"星空の下の古城",
@"size": @"1:1",
@"n": @1,
@"image_urls": @[
@"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations"
let payload = {|{
"model": "gpt-4o-image",
"prompt": "星空の下の古城",
"size": "1:1",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations');
final payload = {
'model': 'gpt-4o-image',
'prompt': '星空の下の古城',
'size': '1:1',
'n': 1,
'image_urls': [
'https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations"
payload <- list(
model = "gpt-4o-image",
prompt = "星空の下の古城",
size = "1:1",
n = 1,
image_urls = list(
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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": "リクエストパラメータが無効です",
"type": "invalid_request_error"
}
}
{
"error": {
"code": 401,
"message": "無効な認証資格情報",
"type": "authentication_error"
}
}
{
"error": {
"code": 402,
"message": "残高不足。アカウントにチャージしてください",
"type": "payment_required"
}
}
{
"error": {
"code": 403,
"message": "アクセスが禁止されています。このリソースへのアクセス権限がありません",
"type": "permission_error"
}
}
{
"error": {
"code": 429,
"message": "レート制限を超過しました。後でもう一度お試しください",
"type": "rate_limit_error"
}
}
{
"error": {
"code": 500,
"message": "サーバー内部エラー。後でもう一度お試しください",
"type": "server_error"
}
}
{
"error": {
"code": 502,
"message": "ゲートウェイエラー。サーバーが一時的に利用できません",
"type": "bad_gateway"
}
}
GPT-4o-image 画像生成
- 非同期処理モード、タスクIDを返して後続のクエリに使用
- テキストから画像、画像から画像、画像編集を含む複数の生成モードをサポート
- 生成された画像リンクは24時間有効、速やかに保存してください
POST
/
v1
/
images
/
generations
curl --request POST \
--url https://api.apimart.ai/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "gpt-4o-image",
"prompt": "海の上の鮮やかな色彩の美しい夕焼け",
"size": "1:1",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_0.png"
]
}'
import requests
url = "https://api.apimart.ai/v1/images/generations"
payload = {
"model": "gpt-4o-image",
"prompt": "海の上の鮮やかな色彩の美しい夕焼け",
"size": "1:1",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations";
const payload = {
model: "gpt-4o-image",
prompt: "海の上の鮮やかな色彩の美しい夕焼け",
size: "1:1",
n: 1,
image_urls: [
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations"
payload := map[string]interface{}{
"model": "gpt-4o-image",
"prompt": "海の上の鮮やかな色彩の美しい夕焼け",
"size": "1:1",
"n": 1,
"image_urls": []string{
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations";
String payload = """
{
"model": "gpt-4o-image",
"prompt": "海の上の鮮やかな色彩の美しい夕焼け",
"size": "1:1",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations";
$payload = [
"model" => "gpt-4o-image",
"prompt" => "星空の下の古城",
"size" => "1:1",
"n" => 1,
"image_urls" => [
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations")
payload = {
model: "gpt-4o-image",
prompt: "海の上の鮮やかな色彩の美しい夕焼け",
size: "1:1",
n: 1,
image_urls: [
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations")!
let payload: [String: Any] = [
"model": "gpt-4o-image",
"prompt": "海の上の鮮やかな色彩の美しい夕焼け",
"size": "1:1",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations";
var payload = @"{
""model"": ""gpt-4o-image"",
""prompt"": ""星空の下の古城"",
""size"": ""1:1"",
""n"": 1,
""image_urls"": [
""https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations";
const char *payload = "{"
"\"model\":\"gpt-4o-image\","
"\"prompt\":\"星空の下の古城\","
"\"size\":\"1:1\","
"\"n\":1,"
"\"image_urls\":[\"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations"];
NSDictionary *payload = @{
@"model": @"gpt-4o-image",
@"prompt": @"星空の下の古城",
@"size": @"1:1",
@"n": @1,
@"image_urls": @[
@"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations"
let payload = {|{
"model": "gpt-4o-image",
"prompt": "星空の下の古城",
"size": "1:1",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations');
final payload = {
'model': 'gpt-4o-image',
'prompt': '星空の下の古城',
'size': '1:1',
'n': 1,
'image_urls': [
'https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations"
payload <- list(
model = "gpt-4o-image",
prompt = "星空の下の古城",
size = "1:1",
n = 1,
image_urls = list(
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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": "リクエストパラメータが無効です",
"type": "invalid_request_error"
}
}
{
"error": {
"code": 401,
"message": "無効な認証資格情報",
"type": "authentication_error"
}
}
{
"error": {
"code": 402,
"message": "残高不足。アカウントにチャージしてください",
"type": "payment_required"
}
}
{
"error": {
"code": 403,
"message": "アクセスが禁止されています。このリソースへのアクセス権限がありません",
"type": "permission_error"
}
}
{
"error": {
"code": 429,
"message": "レート制限を超過しました。後でもう一度お試しください",
"type": "rate_limit_error"
}
}
{
"error": {
"code": 500,
"message": "サーバー内部エラー。後でもう一度お試しください",
"type": "server_error"
}
}
{
"error": {
"code": 502,
"message": "ゲートウェイエラー。サーバーが一時的に利用できません",
"type": "bad_gateway"
}
}
curl --request POST \
--url https://api.apimart.ai/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "gpt-4o-image",
"prompt": "海の上の鮮やかな色彩の美しい夕焼け",
"size": "1:1",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_0.png"
]
}'
import requests
url = "https://api.apimart.ai/v1/images/generations"
payload = {
"model": "gpt-4o-image",
"prompt": "海の上の鮮やかな色彩の美しい夕焼け",
"size": "1:1",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations";
const payload = {
model: "gpt-4o-image",
prompt: "海の上の鮮やかな色彩の美しい夕焼け",
size: "1:1",
n: 1,
image_urls: [
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations"
payload := map[string]interface{}{
"model": "gpt-4o-image",
"prompt": "海の上の鮮やかな色彩の美しい夕焼け",
"size": "1:1",
"n": 1,
"image_urls": []string{
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations";
String payload = """
{
"model": "gpt-4o-image",
"prompt": "海の上の鮮やかな色彩の美しい夕焼け",
"size": "1:1",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations";
$payload = [
"model" => "gpt-4o-image",
"prompt" => "星空の下の古城",
"size" => "1:1",
"n" => 1,
"image_urls" => [
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations")
payload = {
model: "gpt-4o-image",
prompt: "海の上の鮮やかな色彩の美しい夕焼け",
size: "1:1",
n: 1,
image_urls: [
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations")!
let payload: [String: Any] = [
"model": "gpt-4o-image",
"prompt": "海の上の鮮やかな色彩の美しい夕焼け",
"size": "1:1",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations";
var payload = @"{
""model"": ""gpt-4o-image"",
""prompt"": ""星空の下の古城"",
""size"": ""1:1"",
""n"": 1,
""image_urls"": [
""https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations";
const char *payload = "{"
"\"model\":\"gpt-4o-image\","
"\"prompt\":\"星空の下の古城\","
"\"size\":\"1:1\","
"\"n\":1,"
"\"image_urls\":[\"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations"];
NSDictionary *payload = @{
@"model": @"gpt-4o-image",
@"prompt": @"星空の下の古城",
@"size": @"1:1",
@"n": @1,
@"image_urls": @[
@"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations"
let payload = {|{
"model": "gpt-4o-image",
"prompt": "星空の下の古城",
"size": "1:1",
"n": 1,
"image_urls": [
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations');
final payload = {
'model': 'gpt-4o-image',
'prompt': '星空の下の古城',
'size': '1:1',
'n': 1,
'image_urls': [
'https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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/images/generations"
payload <- list(
model = "gpt-4o-image",
prompt = "星空の下の古城",
size = "1:1",
n = 1,
image_urls = list(
"https://cdn.apimart.ai/doc/9998238784524590-549804af-14bc-4fbc-bae5-9d8469d35de3-image_task_01K889V97T2YF8RHQW21XMVMS1_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": "リクエストパラメータが無効です",
"type": "invalid_request_error"
}
}
{
"error": {
"code": 401,
"message": "無効な認証資格情報",
"type": "authentication_error"
}
}
{
"error": {
"code": 402,
"message": "残高不足。アカウントにチャージしてください",
"type": "payment_required"
}
}
{
"error": {
"code": 403,
"message": "アクセスが禁止されています。このリソースへのアクセス権限がありません",
"type": "permission_error"
}
}
{
"error": {
"code": 429,
"message": "レート制限を超過しました。後でもう一度お試しください",
"type": "rate_limit_error"
}
}
{
"error": {
"code": 500,
"message": "サーバー内部エラー。後でもう一度お試しください",
"type": "server_error"
}
}
{
"error": {
"code": 502,
"message": "ゲートウェイエラー。サーバーが一時的に利用できません",
"type": "bad_gateway"
}
}
認証
string
required
すべてのAPIエンドポイントはBearer Token認証が必要ですAPIキーの取得方法:APIキー管理ページにアクセスしてAPIキーを取得してくださいリクエストヘッダーに追加:
Authorization: Bearer YOUR_API_KEY
リクエストボディ
string
default:"gpt-4o-image"
required
画像生成モデル名Example:
"gpt-4o-image"string
required
画像生成のためのテキスト説明最大1000文字
string
画像生成サイズサポートされている形式:
- 比率:
1:1,2:3,3:2
integer
生成する画像の数1、2、4をサポート。数量に基づいて料金が事前に差し引かれますデフォルト:1⚠️ 注意: 純粋な数字を入力してください(例:
1)。引用符を使用するとエラーになりますarray
画像から画像または画像編集のための参照画像URLリスト💡 クイック入力(Try itエリア):
制限: 最大 5 枚の画像
- ”+ Add an item” をクリックして画像URLを追加
- 画像の完全なURLアドレスまたはbase64データを入力
Show フィールド詳細
Show フィールド詳細
配列の各要素は文字列で、2つの形式をサポート:1. 完全な画像URL
- 公開アクセス可能な画像URL(http:// または https://)
- 例:
"https://example.com/image.jpg"
- 完全なData URI形式を使用する必要があります
- 形式:
data:image/{フォーマット};base64,{base64データ} - 対応画像形式:jpeg、png、webp など
- 例:
"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABg..." - ⚠️ 注意:
data:image/jpeg;base64,プレフィックスを含める必要があります
- 単一画像は最大 10MB
- 対応形式:.jpeg、.jpg、.png、.webp
string
マスク画像URL
- PNG形式である必要があります
- サイズは参照画像と一致する必要があります
- 最大4MB
レスポンス
integer
レスポンスステータスコード
⌘I