TokenFlashTokenFlash
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.body
import 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_KEY

Body

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

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
1:11024×1024正方形构图
2:31024×1536竖构图
3:21536×1024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

注意事项

  1. 异步处理:提交后返回 task_id,需轮询 /v1/tasks/{task_id} 获取结果
  2. 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
  3. 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
  4. 计费规则:按成功生成的图片张数计费,失败不扣费

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