Api referenceImagesGpt image 1
GPT-Image(1/1.5) 图像生成
- 异步处理模式,返回任务ID用于后续查询
- 支持文生图、图生图、局部重绘等多种生成模式
- 支持透明背景、多种输出格式、多质量档位
- 单次最多生成 4 张图片,参考图最多 15 张
curl --request POST \
--url https://tokenflash.cn/v1/images/generations \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"model": "gpt-image-1-official",
"prompt": "星空下的古老城堡",
"size": "1:1",
"quality": "auto",
"n": 1
}'import requests
url = "https://tokenflash.cn/v1/images/generations"
payload = {
"model": "gpt-image-1-official",
"prompt": "星空下的古老城堡",
"size": "1:1",
"quality": "auto",
"n": 1
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.json())const url = "https://tokenflash.cn/v1/images/generations";
const payload = {
model: "gpt-image-1-official",
prompt: "星空下的古老城堡",
size: "1:1",
quality: "auto",
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://tokenflash.cn/v1/images/generations"
payload := map[string]interface{}{
"model": "gpt-image-1-official",
"prompt": "星空下的古老城堡",
"size": "1:1",
"quality": "auto",
"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://tokenflash.cn/v1/images/generations";
String payload = """
{
"model": "gpt-image-1-official",
"prompt": "星空下的古老城堡",
"size": "1:1",
"quality": "auto",
"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://tokenflash.cn/v1/images/generations";
$payload = [
"model" => "gpt-image-1-official",
"prompt" => "星空下的古老城堡",
"size" => "1:1",
"quality" => "auto",
"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://tokenflash.cn/v1/images/generations")
payload = {
model: "gpt-image-1-official",
prompt: "星空下的古老城堡",
size: "1:1",
quality: "auto",
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.bodyimport Foundation
let url = URL(string: "https://tokenflash.cn/v1/images/generations")!
let payload: [String: Any] = [
"model": "gpt-image-1-official",
"prompt": "星空下的古老城堡",
"size": "1:1",
"quality": "auto",
"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://tokenflash.cn/v1/images/generations";
var payload = @"{
""model"": ""gpt-image-1-official"",
""prompt"": ""星空下的古老城堡"",
""size"": ""1:1"",
""quality"": ""auto"",
""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://tokenflash.cn/v1/images/generations');
final payload = {
'model': 'gpt-image-1-official',
'prompt': '星空下的古老城堡',
'size': '1:1',
'quality': 'auto',
'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://tokenflash.cn/v1/images/generations"
payload <- list(
model = "gpt-image-1-official",
prompt = "星空下的古老城堡",
size = "1:1",
quality = "auto",
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_01KXXXXXXXXXXXXXXX"
}
]
}{
"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"
}
}支持的模型
| 模型名 | 说明 | 模式 | 图生图 | 最大张数 | 计费方式 |
|---|---|---|---|---|---|
gpt-image-1-official | 稳定优先,适合通用图片生成 | 文生图 / 图生图 | 支持 | 4 张 | 尺寸×质量 |
gpt-image-1.5-official | 新版本,适合更高质量和更复杂编辑场景 | 文生图 / 图生图 | 支持 | 4 张 | 尺寸×质量 |
Authorizations
string required
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_KEYBody
string required
模型名称
gpt-image-1-official- 稳定优先,适合通用图片生成gpt-image-1.5-official- 新版本,适合更高质量和更复杂编辑场景
string required
图像生成的文本描述,支持中英文
string
画面比例
支持的比例:
1:1- 正方形构图(默认)3:2- 横构图2:3- 竖构图
integer
生成图片张数
取值范围:1-4
- 传入值 ≤ 0 时,系统按
1处理 - 传入值 > 4 时,系统按
4处理
⚠️ 注意: 必须输入纯数字(如 1),不要加引号,否则会报错
string
图片质量
auto- 自动选择质量(默认)low- 更快、更省medium- 质量与消耗折中high- 质量更高,消耗更高
string
背景模式
auto- 自动背景(默认)opaque- 不透明背景transparent- 透明背景,推荐搭配png输出格式
警告
background: transparent 不能和 output_format: jpeg 同时使用
string
审核强度
auto- 默认审核强度low- 更宽松的审核强度
string
输出格式
png- 默认格式,适合透明背景jpeg- 文件更小,适合普通图片输出
警告
background: transparent 不能和 output_format: jpeg 同时使用
integer
输出压缩强度,范围 0-100
- 建议仅在
jpeg下使用 png场景建议不传
array
参考图像的 URL 数组,传入后自动按图生图处理
- 传 1 张为单参考图编辑
- 传 2-15 张为多参考图融合编辑
- 超过 15 张服务端会拒绝处理
- 必须是公网可访问的稳定图片 URL
限制: 最多 15 张参考图
string
遮罩图 URL,用于局部重绘(inpainting)
- 需搭配
image_urls一起使用 - 传入后会按官方编辑接口一并提交
警告
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。
尺寸对照表
对外统一使用比例值,系统内部自动映射到官方实际尺寸并完成计费。
| 比例 | 实际尺寸 | 说明 |
|---|---|---|
1:1 | 1024×1024 | 正方形构图 |
2:3 | 1024×1536 | 竖构图 |
3:2 | 1536×1024 | 横构图 |
使用场景示例
文生图(最简请求)
{
"model": "gpt-image-1-official",
"prompt": "星空下的古老城堡"
}文生图(完整参数)
{
"model": "gpt-image-1-official",
"prompt": "A flat icon of a glass bottle with no background",
"size": "2:3",
"quality": "high",
"background": "transparent",
"moderation": "low",
"output_format": "png",
"n": 1
}图生图(单参考图)
{
"model": "gpt-image-1.5-official",
"prompt": "将参考图改成插画风格,保留主体轮廓",
"size": "1:1",
"quality": "auto",
"image_urls": [
"https://your-cdn.com/input.png"
],
"n": 1
}图生图(多参考图融合)
{
"model": "gpt-image-1.5-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": "auto",
"background": "transparent",
"image_urls": [
"https://your-cdn.com/input-a.png",
"https://your-cdn.com/input-b.png"
],
"moderation": "low",
"output_format": "png",
"n": 1
}多张生成(n > 1)
{
"model": "gpt-image-1-official",
"prompt": "Four minimalist poster variations of a red fox",
"size": "1:1",
"quality": "low",
"output_format": "png",
"n": 4
}Response
code integer
响应状态码
data array
返回数据数组
status string
任务状态
submitted- 已提交
task_id string
任务唯一标识符
注意事项
- 异步处理:提交后返回
task_id,需轮询/v1/tasks/{task_id}获取结果 - 模型选择:通用图片生成优先使用
gpt-image-1-official,高质量编辑和复杂图生图建议使用gpt-image-1.5-official - 图片 URL 要求:图生图推荐使用公网可直接访问的稳定图片 URL
- 计费规则:按成功生成的图片张数计费,失败不扣费