curl --request POST \
--url https://api.tokengongfang.com/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "gpt-image-2-official",
"prompt": "星空下的古老城堡",
"size": "16:9",
"resolution": "2k",
"quality": "high",
"n": 1
}'
import requests
url = "https://api.tokengongfang.com/v1/images/generations"
payload = {
"model": "gpt-image-2-official",
"prompt": "星空下的古老城堡",
"size": "16:9",
"resolution": "2k",
"quality": "high",
"n": 1
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.json())
const url = "https://api.tokengongfang.com/v1/images/generations";
const payload = {
model: "gpt-image-2-official",
prompt: "星空下的古老城堡",
size: "16:9",
resolution: "2k",
quality: "high",
n: 1,
};
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.tokengongfang.com/v1/images/generations"
payload := map[string]interface{}{
"model": "gpt-image-2-official",
"prompt": "星空下的古老城堡",
"size": "16:9",
"resolution": "2k",
"quality": "high",
"n": 1,
}
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.tokengongfang.com/v1/images/generations";
String payload = """
{
"model": "gpt-image-2-official",
"prompt": "星空下的古老城堡",
"size": "16:9",
"resolution": "2k",
"quality": "high",
"n": 1
}
""";
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.tokengongfang.com/v1/images/generations";
$payload = [
"model" => "gpt-image-2-official",
"prompt" => "星空下的古老城堡",
"size" => "16:9",
"resolution" => "2k",
"quality" => "high",
"n" => 1
];
$ch = curl_init($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.tokengongfang.com/v1/images/generations")
payload = {
model: "gpt-image-2-official",
prompt: "星空下的古老城堡",
size: "16:9",
resolution: "2k",
quality: "high",
n: 1
}
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.tokengongfang.com/v1/images/generations")!
let payload: [String: Any] = [
"model": "gpt-image-2-official",
"prompt": "星空下的古老城堡",
"size": "16:9",
"resolution": "2k",
"quality": "high",
"n": 1
]
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.tokengongfang.com/v1/images/generations";
var payload = @"{
""model"": ""gpt-image-2-official"",
""prompt"": ""星空下的古老城堡"",
""size"": ""16:9"",
""resolution"": ""2k"",
""quality"": ""high"",
""n"": 1
}";
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);
}
}
import 'dart:convert';
import 'package:http/http.dart' as http;
void main() async {
final url = Uri.parse('https://api.tokengongfang.com/v1/images/generations');
final payload = {
'model': 'gpt-image-2-official',
'prompt': '星空下的古老城堡',
'size': '16:9',
'resolution': '2k',
'quality': 'high',
'n': 1,
};
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.tokengongfang.com/v1/images/generations"
payload <- list(
model = "gpt-image-2-official",
prompt = "星空下的古老城堡",
size = "16:9",
resolution = "2k",
quality = "high",
n = 1
)
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_01KPTXXXXXXXXXXXXXXX"
}
]
}
{
"error": {
"code": 400,
"message": "参数错误:size 不合法 / resolution 不支持 / 像素违规等",
"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"
}
}
GPT-Image-2
GPT-Image-2 官方渠道 图像生成
- OpenAI 官方
gpt-image-2模型,基于/v1/images/generations兼容协议 - 异步处理模式,返回
task_id用于后续查询 - 文生图 / 图生图 / 局部重绘(mask)三合一
- 新增
resolution档位字段,支持 1K / 2K / 4K 分辨率选择 - 支持 15 种比例,1K / 2K / 4K 档均可用
- 单次最多生成 4 张图片,参考图最多 16 张
- 与
gpt-image-1.5-official接口 95% 对齐,迁移只需改模型名
POST
/
v1
/
images
/
generations
curl --request POST \
--url https://api.tokengongfang.com/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "gpt-image-2-official",
"prompt": "星空下的古老城堡",
"size": "16:9",
"resolution": "2k",
"quality": "high",
"n": 1
}'
import requests
url = "https://api.tokengongfang.com/v1/images/generations"
payload = {
"model": "gpt-image-2-official",
"prompt": "星空下的古老城堡",
"size": "16:9",
"resolution": "2k",
"quality": "high",
"n": 1
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.json())
const url = "https://api.tokengongfang.com/v1/images/generations";
const payload = {
model: "gpt-image-2-official",
prompt: "星空下的古老城堡",
size: "16:9",
resolution: "2k",
quality: "high",
n: 1,
};
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.tokengongfang.com/v1/images/generations"
payload := map[string]interface{}{
"model": "gpt-image-2-official",
"prompt": "星空下的古老城堡",
"size": "16:9",
"resolution": "2k",
"quality": "high",
"n": 1,
}
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.tokengongfang.com/v1/images/generations";
String payload = """
{
"model": "gpt-image-2-official",
"prompt": "星空下的古老城堡",
"size": "16:9",
"resolution": "2k",
"quality": "high",
"n": 1
}
""";
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.tokengongfang.com/v1/images/generations";
$payload = [
"model" => "gpt-image-2-official",
"prompt" => "星空下的古老城堡",
"size" => "16:9",
"resolution" => "2k",
"quality" => "high",
"n" => 1
];
$ch = curl_init($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.tokengongfang.com/v1/images/generations")
payload = {
model: "gpt-image-2-official",
prompt: "星空下的古老城堡",
size: "16:9",
resolution: "2k",
quality: "high",
n: 1
}
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.tokengongfang.com/v1/images/generations")!
let payload: [String: Any] = [
"model": "gpt-image-2-official",
"prompt": "星空下的古老城堡",
"size": "16:9",
"resolution": "2k",
"quality": "high",
"n": 1
]
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.tokengongfang.com/v1/images/generations";
var payload = @"{
""model"": ""gpt-image-2-official"",
""prompt"": ""星空下的古老城堡"",
""size"": ""16:9"",
""resolution"": ""2k"",
""quality"": ""high"",
""n"": 1
}";
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);
}
}
import 'dart:convert';
import 'package:http/http.dart' as http;
void main() async {
final url = Uri.parse('https://api.tokengongfang.com/v1/images/generations');
final payload = {
'model': 'gpt-image-2-official',
'prompt': '星空下的古老城堡',
'size': '16:9',
'resolution': '2k',
'quality': 'high',
'n': 1,
};
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.tokengongfang.com/v1/images/generations"
payload <- list(
model = "gpt-image-2-official",
prompt = "星空下的古老城堡",
size = "16:9",
resolution = "2k",
quality = "high",
n = 1
)
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_01KPTXXXXXXXXXXXXXXX"
}
]
}
{
"error": {
"code": 400,
"message": "参数错误:size 不合法 / resolution 不支持 / 像素违规等",
"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.tokengongfang.com/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "gpt-image-2-official",
"prompt": "星空下的古老城堡",
"size": "16:9",
"resolution": "2k",
"quality": "high",
"n": 1
}'
import requests
url = "https://api.tokengongfang.com/v1/images/generations"
payload = {
"model": "gpt-image-2-official",
"prompt": "星空下的古老城堡",
"size": "16:9",
"resolution": "2k",
"quality": "high",
"n": 1
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.json())
const url = "https://api.tokengongfang.com/v1/images/generations";
const payload = {
model: "gpt-image-2-official",
prompt: "星空下的古老城堡",
size: "16:9",
resolution: "2k",
quality: "high",
n: 1,
};
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.tokengongfang.com/v1/images/generations"
payload := map[string]interface{}{
"model": "gpt-image-2-official",
"prompt": "星空下的古老城堡",
"size": "16:9",
"resolution": "2k",
"quality": "high",
"n": 1,
}
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.tokengongfang.com/v1/images/generations";
String payload = """
{
"model": "gpt-image-2-official",
"prompt": "星空下的古老城堡",
"size": "16:9",
"resolution": "2k",
"quality": "high",
"n": 1
}
""";
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.tokengongfang.com/v1/images/generations";
$payload = [
"model" => "gpt-image-2-official",
"prompt" => "星空下的古老城堡",
"size" => "16:9",
"resolution" => "2k",
"quality" => "high",
"n" => 1
];
$ch = curl_init($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.tokengongfang.com/v1/images/generations")
payload = {
model: "gpt-image-2-official",
prompt: "星空下的古老城堡",
size: "16:9",
resolution: "2k",
quality: "high",
n: 1
}
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.tokengongfang.com/v1/images/generations")!
let payload: [String: Any] = [
"model": "gpt-image-2-official",
"prompt": "星空下的古老城堡",
"size": "16:9",
"resolution": "2k",
"quality": "high",
"n": 1
]
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.tokengongfang.com/v1/images/generations";
var payload = @"{
""model"": ""gpt-image-2-official"",
""prompt"": ""星空下的古老城堡"",
""size"": ""16:9"",
""resolution"": ""2k"",
""quality"": ""high"",
""n"": 1
}";
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);
}
}
import 'dart:convert';
import 'package:http/http.dart' as http;
void main() async {
final url = Uri.parse('https://api.tokengongfang.com/v1/images/generations');
final payload = {
'model': 'gpt-image-2-official',
'prompt': '星空下的古老城堡',
'size': '16:9',
'resolution': '2k',
'quality': 'high',
'n': 1,
};
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.tokengongfang.com/v1/images/generations"
payload <- list(
model = "gpt-image-2-official",
prompt = "星空下的古老城堡",
size = "16:9",
resolution = "2k",
quality = "high",
n = 1
)
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_01KPTXXXXXXXXXXXXXXX"
}
]
}
{
"error": {
"code": 400,
"message": "参数错误:size 不合法 / resolution 不支持 / 像素违规等",
"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
图像生成模型名称固定填写
gpt-image-2-official(OpenAI 官方 gpt-image-2 模型)图像生成的文本描述
- 支持中英文,建议详细描述
- 提交前会经过平台敏感词 / 安全审核,命中违规内容会直接返回错误
画面比例对外使用比例值,系统内部按
resolution 自动映射到具体像素。支持以下比例,也可传入 auto 由服务端自动选择合适比例:auto- 自动(由服务端根据 prompt / 参考图自动选择比例)1:1- 正方形构图(默认,社交头像 / Logo)3:2- 横构图(单反相机常见比例)2:3- 竖构图(海报竖版)4:3- 横构图(经典显示器 / PPT)3:4- 竖构图5:4- 横构图4:5- 竖构图(Instagram 竖版帖子)16:9- 横构图(宽屏视频封面)9:16- 竖构图(手机全屏 / 短视频封面)2:1- 横构图(网页 Banner)1:2- 竖构图3:1- 横构图(超宽 Banner)1:3- 竖构图(超长海报)21:9- 横构图(电影超宽屏)9:21- 竖构图
1881x836 / 887x1774。当
size 传入 auto 时,默认比例为 1:1。分辨率档位(新增字段)控制实际出图清晰度。
1k- 1024 基准,省钱日常够用(默认)2k- 2048 基准,适合海报 / 高清需求4k- 3840 基准,支持下方映射表中的 15 个比例
4K 支持下方映射表中的 15 个比例;也可以直接通过
size 传入表格中的像素尺寸。图片质量
auto- 自动(默认,通常等同low)low- 快速省钱,轮廓够用medium- 平衡high- 最高精度(4K + high 耗时 >120s)
背景模式
auto- 自动(默认)opaque- 不透明transparent- ⚠️ gpt-image-2-official 不支持透明背景,传了会被系统静默降级为auto
审核强度
auto- 默认审核强度low- 更宽松的审核强度
输出格式
png- 默认jpeg- 文件更小webp- 现代浏览器最优
输出压缩强度,范围
0-100- 仅对
jpeg/webp有效
生成图片张数取值范围:
1 ~ 4必须输入纯数字(如
1),不要加引号参考图 URL 数组
显示 详细说明
显示 详细说明
- 单张图最大 20M,总体上限 256M
- 最多 16 张 参考图,超过会被拒绝
- 须是公网可直接访问的稳定图片 URL
遮罩图 URL,用于局部重绘(inpainting)
- 需搭配
image_urls一起使用
1、上传遮罩图前,请先确认图片 Alpha 通道为「是」。2、遮罩图尺寸需与首张参考图一致。
尺寸 × 分辨率映射表
size × resolution → OpenAI 实际像素(15 比例 × 3 档位):
| size | 1k | 2k | 4k |
|---|---|---|---|
1:1 | 1024×1024 | 2048×2048 | 2880×2880 |
3:2 | 1536×1024 | 2048×1360 | 3520×2336 |
2:3 | 1024×1536 | 1360×2048 | 2336×3520 |
4:3 | 1024×768 | 2048×1536 | 3312×2480 |
3:4 | 768×1024 | 1536×2048 | 2480×3312 |
5:4 | 1280×1024 | 2560×2048 | 3216×2576 |
4:5 | 1024×1280 | 2048×2560 | 2576×3216 |
16:9 | 1536×864 | 2048×1152 | 3840×2160 |
9:16 | 864×1536 | 1152×2048 | 2160×3840 |
2:1 | 2048×1024 | 2688×1344 | 3840×1920 |
1:2 | 1024×2048 | 1344×2688 | 1920×3840 |
3:1 | 1881×836 / 1536×512 | 3072×1024 | 3840×1280 |
1:3 | 887×1774 / 512×1536 | 1024×3072 | 1280×3840 |
21:9 | 2016×864 | 2688×1152 | 3840×1648 |
9:21 | 864×2016 | 1152×2688 | 1648×3840 |
说明:部分尺寸会按 16 倍数和像素上限做近似映射,例如3:2/2:3@ 2K 实际是 2048×1360,21:9@ 4K 是 3840×1648;请以表格中的实际像素为准。
使用场景示例
文生图(最简请求){
"model": "gpt-image-2-official",
"prompt": "星空下的古老城堡"
}
{
"model": "gpt-image-2-official",
"prompt": "赛博朋克夜景",
"size": "16:9",
"resolution": "2k",
"quality": "high",
"output_format": "jpeg",
"output_compression": 90
}
{
"model": "gpt-image-2-official",
"prompt": "雪山日出全景",
"size": "16:9",
"resolution": "4k",
"quality": "high",
"n": 1
}
{
"model": "gpt-image-2-official",
"prompt": "将两张参考图融合成一张插画海报,保留主体轮廓",
"size": "1:1",
"quality": "high",
"image_urls": [
"https://your-cdn.com/input-a.png",
"https://your-cdn.com/input-b.png"
]
}
{
"model": "gpt-image-2-official",
"prompt": "把背景换成沙漠日落",
"size": "1:1",
"quality": "medium",
"image_urls": ["https://your-cdn.com/photo.png"],
"mask_url": "https://your-cdn.com/mask.png"
}
{
"model": "gpt-image-2-official",
"prompt": "Four minimalist poster variations of a red fox",
"size": "1:1",
"quality": "low",
"n": 4
}
{
"model": "gpt-image-2-official",
"prompt": "wide cinematic shot",
"size": "3840x2160",
"quality": "high"
}
Response
响应状态码
查询任务结果
提交成功后返回task_id,通过 GET /v1/tasks/{task_id} 轮询任务状态,详见 任务查询接口。
成功响应示例
{
"code": 200,
"data": {
"id": "task_01KPTXXXXXXXXXXXXXXX",
"status": "completed",
"progress": 100,
"actual_time": 46,
"cost": 0.05279,
"credits_cost": 0.5279,
"result": {
"images": [
{
"url": [
"https://upload.apimart.ai/f/image/xxxxxxxx-gpt_image_2_official_task_xxx_0.png"
],
"expires_at": 1776928569
}
]
}
}
}
submitted → in_progress → completed / failed。
取图方式:data.result.images[0].url[0]。⌘I