GPT Image 1.5 图片编辑接口 - QuickRouter API 中转接口

POST https://api.quickrouter.ai/v1/images/edits 在线调试 →

▼ Authorization

在 Header 添加参数 Authorization，其值为 Bearer 之后拼接 Token

示例： Authorization: Bearer ********************

给定一个提示，该模型将返回一个或多个预测的完成，并且还可以返回每个位置的替代标记的概率。为提供的提示和参数创建完成官方文档：https://platform.openai.com/docs/api-reference/images/createEdit

请求参数

Header 参数

Accept string

必需

示例: application/json

Authorization string

可选

示例: Bearer {{YOUR_API_KEY}}

Body 参数 application/json

multipart/form-data

可选

image file

必需

要编辑的图片。必须是受支持的图片文件或图片数组。对于 gpt-image-1，每张图片应为小于 25MB 的 png、webp 或 jpg 文件。对于 dall-e-2，您只能提供一张图片，并且该图片应为小于 4MB 的方形 png 文件。示例: ["file://C:\\Users\\Administrator\\Desktop\\例子.png","file://C:\\Users\\Administrator\\Desktop\\场景2.png"]

prompt string

必需

所需图像的文本描述。dall-e-2 的最大长度为 1000 个字符，gpt-image-1 的最大长度为 32000 个字符。示例: 将他们合并在一个图片里面

mask string

可选

一张附加图片，其完全透明区域（例如，alpha 值为零）指示应编辑 image 位置。如果提供了多张图片，则遮罩将应用于第一张图片。必须是有效的 PNG 文件，小于 4MB，且尺寸与 image 相同。

model string

可选

用于生成图像的模型。仅 gpt-image-1, gpt-image-1-all , flux-kontext-pro , flux-kontext-max。示例: gpt-image-1.5

n string

可选

要生成的图像数量。必须介于 1 到 10 之间。示例: 1

quality string

可选

生成图像的质量。只有 gpt-image-1 支持 high、medium 和 low 质量。dall-e-2 仅支持 standard 质量。默认为 auto。

response_format string

可选

返回生成图像的格式。必须是 url 或 b64_json 之一。URL 在图像生成后 60 分钟内有效。此参数仅适用于 dall-e-2，因为 gpt-image-1 始终返回 base64 编码的图像，请不要使用这个参数。示例:

url

可选

size string

可选

生成图像的尺寸。对于 GPT 图像模型，必须是 1024x1024 、 1536x1024 （横版）、 1024x1536 （竖版）或 auto （默认值）之一，对于 dall-e-2 必须是 256x256 、 512x512 或 1024x1024 之一，对于 dall-e-3 必须是 1024x1024 、 1792x1024 或 1024x1792 之一。示例: 1024x1536

background string

可选

允许为生成的图像的背景设置透明度。此参数仅在 gpt-image-1 中受支持。其值必须为 “透明（transparent）”、“不透明（opaque）” 或 “自动（auto）”（默认值）之一。当使用 “自动（auto）” 时，模型将自动为图像确定最佳背景。示例:

transparent

可选

moderation string

可选

控制由 gpt-image-1 生成的图像的内容审核级别。可以设置为 “low” 以进行限制较少的过滤，也可以设置为 “auto”（默认值）。示例:

low

可选

请求

示例

{
    "id": "chatcmpl-123",
    "object": "chat.completion",
    "created": 1677652288,
    "choices": [
        {
            "index": 0,
            "message": {
                "role": "assistant",
                "content": "\n\nHello there, how may I assist you today?"
            },
            "finish_reason": "stop"
        }
    ],
    "usage": {
        "prompt_tokens": 9,
        "completion_tokens": 12,
        "total_tokens": 21
    }
}

请求示例代码

{
  "model": "gpt-image-1",
  "image": "base64编码的图片",
  "prompt": "将背景改为海滩"
}

curl --location --request POST 'https://api.quickrouter.ai/v1/images/edits' \
--header 'Accept: application/json' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--data-raw '{
    "id": "chatcmpl-123",
    "object": "chat.completion",
    "created": 1677652288,
    "choices": [
        {
            "index": 0,
            "message": {
                "role": "assistant",
                "content": "

Hello there, how may I assist you today?"
            },
            "finish_reason": "stop"
        }
    ],
    "usage": {
        "prompt_tokens": 9,
        "completion_tokens": 12,
        "total_tokens": 21
    }
}'

var myHeaders = new Headers();
myHeaders.append("Accept", "application/json");
myHeaders.append("Authorization", "Bearer YOUR_API_KEY");

var raw = JSON.stringify({
    "id": "chatcmpl-123",
    "object": "chat.completion",
    "created": 1677652288,
    "choices": [
        {
            "index": 0,
            "message": {
                "role": "assistant",
                "content": "

Hello there, how may I assist you today?"
            },
            "finish_reason": "stop"
        }
    ],
    "usage": {
        "prompt_tokens": 9,
        "completion_tokens": 12,
        "total_tokens": 21
    }
});

var requestOptions = {
   method: 'POST',
   headers: myHeaders,
   body: raw,
   redirect: 'follow'
};

fetch("https://api.quickrouter.ai/v1/images/edits", requestOptions)
   .then(response => response.text())
   .then(result => console.log(result))
   .catch(error => console.log('error', error));

import java.io.*;
import java.net.*;
import java.util.*;

URL url = new URL("https://api.quickrouter.ai/v1/images/edits");
HttpURLConnection conn = (HttpURLConnection) url.openConnection();
conn.setRequestMethod("POST");
conn.setRequestProperty("Accept", "application/json");
conn.setRequestProperty("Authorization", "Bearer YOUR_API_KEY");
conn.setDoOutput(true);
String jsonInputString = "{
    \"id\": \"chatcmpl-123\",
    \"object\": \"chat.completion\",
    \"created\": 1677652288,
    \"choices\": [
        {
            \"index\": 0,
            \"message\": {
                \"role\": \"assistant\",
                \"content\": \"\n\nHello there, how may I assist you today?\"
            },
            \"finish_reason\": \"stop\"
        }
    ],
    \"usage\": {
        \"prompt_tokens\": 9,
        \"completion_tokens\": 12,
        \"total_tokens\": 21
    }
}";
try(OutputStream os = conn.getOutputStream()) {
    byte[] input = jsonInputString.getBytes("utf-8");
    os.write(input, 0, input.length);
}
int responseCode = conn.getResponseCode();
System.out.println("Response Code: " + responseCode);

import Foundation

let urlString = "https://api.quickrouter.ai/v1/images/edits"
guard let url = URL(string: urlString) else { return }
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.addValue("application/json", forHTTPHeaderField: "Accept")
request.addValue("Bearer YOUR_API_KEY", forHTTPHeaderField: "Authorization")
let httpBody = "{
    \"id\": \"chatcmpl-123\",
    \"object\": \"chat.completion\",
    \"created\": 1677652288,
    \"choices\": [
        {
            \"index\": 0,
            \"message\": {
                \"role\": \"assistant\",
                \"content\": \"\n\nHello there, how may I assist you today?\"
            },
            \"finish_reason\": \"stop\"
        }
    ],
    \"usage\": {
        \"prompt_tokens\": 9,
        \"completion_tokens\": 12,
        \"total_tokens\": 21
    }
}"
request.httpBody = httpBody.data(using: .utf8)

let task = URLSession.shared.dataTask(with: request) { data, response, error in
    if let data = data {
        print(String(data: data, encoding: .utf8)!)
    }
}
task.resume()

package main

import (
    "fmt"
    "io"
    "net/http"
)

func main() {
    body := strings.NewReader(`{
    "id": "chatcmpl-123",
    "object": "chat.completion",
    "created": 1677652288,
    "choices": [
        {
            "index": 0,
            "message": {
                "role": "assistant",
                "content": "

Hello there, how may I assist you today?"
            },
            "finish_reason": "stop"
        }
    ],
    "usage": {
        "prompt_tokens": 9,
        "completion_tokens": 12,
        "total_tokens": 21
    }
}`)
    req, _ := http.NewRequest("POST", "https://api.quickrouter.ai/v1/images/edits", body)
    req.Header.Set("Accept", "application/json")
    req.Header.Set("Authorization", "Bearer YOUR_API_KEY")
    client := &http.Client{}
    resp, _ := client.Do(req)
    defer resp.Body.Close()
    bodyBytes, _ := io.ReadAll(resp.Body)
    fmt.Println(string(bodyBytes))
}

<?php

$curl = curl_init();
curl_setopt_array($curl, array(
  CURLOPT_URL => 'https://api.quickrouter.ai/v1/images/edits',
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_CUSTOMREQUEST => 'POST',
  CURLOPT_POSTFIELDS => '{
    "id": "chatcmpl-123",
    "object": "chat.completion",
    "created": 1677652288,
    "choices": [
        {
            "index": 0,
            "message": {
                "role": "assistant",
                "content": "

Hello there, how may I assist you today?"
            },
            "finish_reason": "stop"
        }
    ],
    "usage": {
        "prompt_tokens": 9,
        "completion_tokens": 12,
        "total_tokens": 21
    }
}',
  CURLOPT_HTTPHEADER => array(
    "Accept: application/json",
    "Authorization: Bearer YOUR_API_KEY",
  ),
));
$response = curl_exec($curl);
curl_close($curl);
echo $response;

import http.client
import json

conn = http.client.HTTPSConnection("api.quickrouter.ai")
payload = json.dumps({
    "id": "chatcmpl-123",
    "object": "chat.completion",
    "created": 1677652288,
    "choices": [
        {
            "index": 0,
            "message": {
                "role": "assistant",
                "content": "

Hello there, how may I assist you today?"
            },
            "finish_reason": "stop"
        }
    ],
    "usage": {
        "prompt_tokens": 9,
        "completion_tokens": 12,
        "total_tokens": 21
    }
})
headers = {
   'Accept': 'application/json',
   'Authorization': 'Bearer YOUR_API_KEY',
}
conn.request("POST", "/v1/images/edits", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))

POST https://api.quickrouter.ai/v1/images/edits HTTP/1.1
Accept: application/json
Authorization: Bearer YOUR_API_KEY

{
    "id": "chatcmpl-123",
    "object": "chat.completion",
    "created": 1677652288,
    "choices": [
        {
            "index": 0,
            "message": {
                "role": "assistant",
                "content": "

Hello there, how may I assist you today?"
            },
            "finish_reason": "stop"
        }
    ],
    "usage": {
        "prompt_tokens": 9,
        "completion_tokens": 12,
        "total_tokens": 21
    }
}

CURL *hnd = curl_easy_init();
curl_easy_setopt(hnd, CURLOPT_CUSTOMREQUEST, "POST");
curl_easy_setopt(hnd, CURLOPT_URL, "https://api.quickrouter.ai/v1/images/edits");

struct curl_slist *headers = NULL;
headers = curl_slist_append(headers, "Accept: application/json");
headers = curl_slist_append(headers, "Authorization: Bearer YOUR_API_KEY");
curl_easy_setopt(hnd, CURLOPT_HTTPHEADER, headers);
curl_easy_setopt(hnd, CURLOPT_POSTFIELDS, "{
    \"id\": \"chatcmpl-123\",
    \"object\": \"chat.completion\",
    \"created\": 1677652288,
    \"choices\": [
        {
            \"index\": 0,
            \"message\": {
                \"role\": \"assistant\",
                \"content\": \"\n\nHello there, how may I assist you today?\"
            },
            \"finish_reason\": \"stop\"
        }
    ],
    \"usage\": {
        \"prompt_tokens\": 9,
        \"completion_tokens\": 12,
        \"total_tokens\": 21
    }
}");
CURLcode ret = curl_easy_perform(hnd);

var client = new RestClient("https://api.quickrouter.ai/v1/images/edits");
var request = new RestRequest(Method.POST);
request.AddHeader("Accept", "application/json");
request.AddHeader("Authorization", "Bearer YOUR_API_KEY");
request.AddParameter("application/json", @"{
    "id": "chatcmpl-123",
    "object": "chat.completion",
    "created": 1677652288,
    "choices": [
        {
            "index": 0,
            "message": {
                "role": "assistant",
                "content": "

Hello there, how may I assist you today?"
            },
            "finish_reason": "stop"
        }
    ],
    "usage": {
        "prompt_tokens": 9,
        "completion_tokens": 12,
        "total_tokens": 21
    }
}", ParameterType.RequestBody);
IRestResponse response = client.Execute(request);
Console.WriteLine(response.Content);

#import <Foundation/Foundation.h>

NSURL *url = [NSURL URLWithString:@"https://api.quickrouter.ai/v1/images/edits"];
NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:url];
[request setHTTPMethod:@"POST"];
[request setValue:@"application/json" forHTTPHeaderField:@"Accept"];
[request setValue:@"Bearer YOUR_API_KEY" forHTTPHeaderField:@"Authorization"];
[request setHTTPBody:[@"{
    \"id\": \"chatcmpl-123\",
    \"object\": \"chat.completion\",
    \"created\": 1677652288,
    \"choices\": [
        {
            \"index\": 0,
            \"message\": {
                \"role\": \"assistant\",
                \"content\": \"\n\nHello there, how may I assist you today?\"
            },
            \"finish_reason\": \"stop\"
        }
    ],
    \"usage\": {
        \"prompt_tokens\": 9,
        \"completion_tokens\": 12,
        \"total_tokens\": 21
    }
}" dataUsingEncoding:NSUTF8StringEncoding]];
NSURLSessionDataTask *task = [[NSURLSession sharedSession] dataTaskWithRequest:request completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
    NSLog(@"%@", [[NSString alloc] initWithData:data encoding:NSUTF8StringEncoding]);
}];
[task resume];

require "uri"
require "net/http"
require "json"

url = URI("https://api.quickrouter.ai/v1/images/edits")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Accept"] = "application/json"
request["Authorization"] = "Bearer YOUR_API_KEY"
request.body = '{
    "id": "chatcmpl-123",
    "object": "chat.completion",
    "created": 1677652288,
    "choices": [
        {
            "index": 0,
            "message": {
                "role": "assistant",
                "content": "

Hello there, how may I assist you today?"
            },
            "finish_reason": "stop"
        }
    ],
    "usage": {
        "prompt_tokens": 9,
        "completion_tokens": 12,
        "total_tokens": 21
    }
}'
response = http.request(request)
puts response.read_body

(* Requires cohttp and lwt *)

let url = "https://api.quickrouter.ai/v1/images/edits" in
let headers = Cohttp.Header.of_list [
  ("Accept", "application/json");
  ("Authorization", "Bearer YOUR_API_KEY");
] in
let body = Cohttp_lwt.Body.of_string '{
    "id": "chatcmpl-123",
    "object": "chat.completion",
    "created": 1677652288,
    "choices": [
        {
            "index": 0,
            "message": {
                "role": "assistant",
                "content": "

Hello there, how may I assist you today?"
            },
            "finish_reason": "stop"
        }
    ],
    "usage": {
        "prompt_tokens": 9,
        "completion_tokens": 12,
        "total_tokens": 21
    }
}' in
Lwt_main.run (
  Cohttp_lwt_unix.Client.request ?body:(Some body) ~method_:`POST ~headers (Uri.of_string url)
  >>= fun (resp, body) ->
  Cohttp_lwt.Body.to_string body >|= fun s -> print_endline s
)

import 'package:http/http.dart' as http;
import 'dart:convert';

var headers = {
  "Accept": "application/json",
  "Authorization": "Bearer YOUR_API_KEY",
};
var body = json.encode({
    "id": "chatcmpl-123",
    "object": "chat.completion",
    "created": 1677652288,
    "choices": [
        {
            "index": 0,
            "message": {
                "role": "assistant",
                "content": "

Hello there, how may I assist you today?"
            },
            "finish_reason": "stop"
        }
    ],
    "usage": {
        "prompt_tokens": 9,
        "completion_tokens": 12,
        "total_tokens": 21
    }
});
var response = await http.post(Uri.parse("https://api.quickrouter.ai/v1/images/edits"), headers: headers, body: body);
print(response.body);

library(httr)

url <- "https://api.quickrouter.ai/v1/images/edits"
body <- '{
    "id": "chatcmpl-123",
    "object": "chat.completion",
    "created": 1677652288,
    "choices": [
        {
            "index": 0,
            "message": {
                "role": "assistant",
                "content": "

Hello there, how may I assist you today?"
            },
            "finish_reason": "stop"
        }
    ],
    "usage": {
        "prompt_tokens": 9,
        "completion_tokens": 12,
        "total_tokens": 21
    }
}'
response <- post(url, body = body, add_headers("Accept" = "application/json", "Authorization" = "Bearer YOUR_API_KEY"))
content(response, "text", encoding = "UTF-8")

返回响应

响应参数 🟢 200 OK · application/json

id string

必需

object string

必需

created integer

必需

choices array [object]

必需

index integer

可选

message object

可选

finish_reason string

可选

usage object

必需

prompt_tokens integer

必需

completion_tokens integer

必需

total_tokens integer

必需

{ "id": "chatcmpl-123", "object": "chat.completion", "created": 1677652288, "choices": [ { "index": 0, "message": { "role": "assistant", "content": "\n\nHello there, how may I assist you today?" }, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 9, "completion_tokens": 12, "total_tokens": 21 } }

GPT Image 1.5 图片编辑接口 - QuickRouter API 中转接口

请求参数

请求示例代码

返回响应

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