AI图像生成

curl -k -i -d "key=key&prompt=xxx&size=&model=" "http://gpt.juhe.cn/text2image/generate"

<?php
/**
 * 1984-AI图像生成 - 代码参考（根据实际业务情况修改）
 */
// 基本参数配置
$apiUrl = "http://gpt.juhe.cn/text2image/generate"; // 接口请求URL
$method = "POST"; // 接口请求方式
$headers = ["Content-Type: application/x-www-form-urlencoded"]; // 接口请求header
$apiKey = "您申请的调用APIkey"; // 在个人中心->我的数据,接口名称上方查看
// 接口请求入参配置
$requestParams = [
    'key' => $apiKey,
    'prompt'=> 'xxx',
    'size'=> '',
    'model'=> '',
];
$requestParamsStr = http_build_query($requestParams);

// 发起接口网络请求
$curl = curl_init();
curl_setopt($curl, CURLOPT_CUSTOMREQUEST, $method);
curl_setopt($curl, CURLOPT_URL, $apiUrl);
curl_setopt($curl, CURLOPT_HTTPHEADER, $headers);
curl_setopt($curl, CURLOPT_FAILONERROR, false);
curl_setopt($curl, CURLOPT_RETURNTRANSFER, true);
if (1 == strpos("$" . $apiUrl, "https://")) {
    curl_setopt($curl, CURLOPT_SSL_VERIFYPEER, false);
    curl_setopt($curl, CURLOPT_SSL_VERIFYHOST, false);
}
curl_setopt($curl, CURLOPT_POSTFIELDS, $requestParamsStr);
$response = curl_exec($curl);
$httpInfo = curl_getinfo($curl);
curl_close($curl);

// 解析响应结果
$responseResult = json_decode($response, true);
if ($responseResult) {
    // 网络请求成功。可依据业务逻辑和接口文档说明自行处理。
    var_dump($responseResult);
} else {
    // 网络异常等因素，解析结果异常。可依据业务逻辑自行处理。
    // var_dump($httpInfo);
    var_dump("请求异常");
}

import requests

# 1984-AI图像生成 - 代码参考（根据实际业务情况修改）

# 基本参数配置
apiUrl = 'http://gpt.juhe.cn/text2image/generate'  # 接口请求URL
apiKey = '您申请的调用APIkey'  # 在个人中心->我的数据,接口名称上方查看

# 接口请求入参配置
requestParams = {
    'key': apiKey,
    'prompt': 'xxx',
    'size': '',
    'model': '',
}

# 发起接口网络请求
response = requests.post(apiUrl, requestParams)

# 解析响应结果
if response.status_code == 200:
    responseResult = response.json()
    # 网络请求成功。可依据业务逻辑和接口文档说明自行处理。
    print(responseResult)
else:
    # 网络异常等因素，解析结果异常。可依据业务逻辑自行处理。
    print('请求异常')

package main

import (
    "encoding/json"
    "fmt"
    "net/http"
    "net/url"
    "strings"
)

func main() {
    // 基本参数配置
    apiUrl := "http://gpt.juhe.cn/text2image/generate"
    apiKey := "您申请的调用APIkey"

    // 接口请求入参配置
    requestParams := url.Values{}
    requestParams.Set("key", apiKey)
    requestParams.Set("prompt", "xxx")
    requestParams.Set("size", "")
    requestParams.Set("model", "")

    // 发起接口网络请求
    resp, err := http.Post(apiUrl, "application/x-www-form-urlencoded", strings.NewReader(requestParams.Encode()))
    if err != nil {
        fmt.Println("网络请求异常:", err)
        return
    }
    defer resp.Body.Close()

    var responseResult map[string]interface{}
    err = json.NewDecoder(resp.Body).Decode(&responseResult)
    if err != nil {
        fmt.Println("解析响应结果异常:", err)
        return
    }
    fmt.Println(responseResult)
}

using System;
using System.Text;
using System.Net;
using Newtonsoft.Json;
using System.Collections.Specialized;

namespace Common_API_Test.Test_Demo
{
    class Csharp_post
    {
        static void Main(string[] args)
        {
            string url = "http://gpt.juhe.cn/text2image/generate";
            string apiKey = "您申请的调用APIkey";

            using (WebClient client = new WebClient())
            {
                var data = new NameValueCollection();
                // 添加元素到 NameValueCollection
                data.Add("key", apiKey);
                data.Add( "prompt", "xxx");
                data.Add( "size", "");
                data.Add( "model", "");

                try
                {
                    byte[] response = client.UploadValues(url, "POST", data);
                    string responseContent = Encoding.UTF8.GetString(response);
                    dynamic responseData = JsonConvert.DeserializeObject(responseContent);

                    if (responseData != null)
                    {
                        Console.WriteLine("Return Code: " + responseData["error_code"]);
                        Console.WriteLine("Return Message: " + responseData["reason"]);
                    }
                    else
                    {
                        Console.WriteLine("json解析异常！");
                    }
                }
                catch (Exception)
                {
                    Console.WriteLine("请检查其它错误");
                }
            }
        }
    }
}

const axios = require('axios'); // npm install axios

// 基本参数配置
const apiUrl = 'http://gpt.juhe.cn/text2image/generate';  // 接口请求URL
const apiKey = '您申请的调用APIkey';  // 在个人中心->我的数据,接口名称上方查看

// 接口请求入参配置
const requestParams = {
    key: apiKey,
    prompt: 'xxx',
    size: '',
    model: '',
};

// 发起接口网络请求
axios.post(apiUrl, requestParams, {
    headers: {
        'Content-Type': 'application/x-www-form-urlencoded'
    }
})
    .then(response => {
        // 解析响应结果
        if (response.status === 200) {
            const responseResult = response.data;
            // 网络请求成功。可依据业务逻辑和接口文档说明自行处理。
            console.log(responseResult);
        } else {
            // 网络异常等因素，解析结果异常。可依据业务逻辑自行处理。
            console.log('请求异常');
        }
    })
    .catch(error => {
        // 网络请求失败，可以根据实际情况进行处理
        console.log('网络请求失败:', error);
    });

package cn.juhe.test;

import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.io.OutputStream;
import java.net.HttpURLConnection;
import java.net.URL;
import java.net.URLEncoder;
import java.nio.charset.StandardCharsets;
import java.util.HashMap;
import java.util.Map;
import java.util.stream.Collectors;

public class JavaPost {
    public static void main(String[] args) throws Exception {
        String apiKey = "你申请的key";
        String apiUrl = "http://gpt.juhe.cn/text2image/generate";

        HashMap<String, String> map = new HashMap<>();
        map.put("key", apiKey);
        map.put("prompt", "xxx");
        map.put("size", "");
        map.put("model", "");

        URL url = new URL(apiUrl);
        HttpURLConnection connection = (HttpURLConnection) url.openConnection();
        connection.setRequestMethod("POST");
        connection.setDoOutput(true);
        String urlParameters = params(map);
        try (OutputStream os = connection.getOutputStream()) {
            byte[] input = urlParameters.getBytes(StandardCharsets.UTF_8);
            os.write(input, 0, input.length);
        }
        BufferedReader in = new BufferedReader(new InputStreamReader(connection.getInputStream()));
        String inputLine;
        StringBuffer response = new StringBuffer();
        while ((inputLine = in.readLine()) != null) {
            response.append(inputLine);
        }
        in.close();
        // 打印响应
        System.out.println(response);
    }

    public static String params(Map<String, String> map) {
        return map.entrySet().stream()
                .map(entry -> {
                    try {
                        return entry.getKey() + "=" + URLEncoder.encode(entry.getValue(), StandardCharsets.UTF_8.toString());
                    } catch (Exception e) {
                        e.printStackTrace();
                        return entry.getKey() + "=" + entry.getValue();
                    }
                })
                .collect(Collectors.joining("&"));
    }
}

// 基本参数配置
NSString *apiUrl = @"http://gpt.juhe.cn/text2image/generate";  // 接口请求URL
NSString *apiKey = @"您申请的调用APIkey";  // 在个人中心->我的数据,接口名称上方查看

// 接口请求入参配置
NSDictionary *requestParams = @{
    @"key": apiKey,
    @"prompt": @"xxx",
    @"size": @"",
    @"model": @"",
};

// 将请求参数转换成字符串形式
NSMutableString *postString = [NSMutableString string];
[requestParams enumerateKeysAndObjectsUsingBlock:^(NSString *key, NSString *value, BOOL *stop) {
    [postString appendFormat:@"%@=%@&", key, value];
}];
[postString deleteCharactersInRange:NSMakeRange(postString.length - 1, 1)]; // 删除最后一个"&"

// 发起接口网络请求
NSURL *url = [NSURL URLWithString:apiUrl];
NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:url];
request.HTTPMethod = @"POST";
[request setValue:@"application/x-www-form-urlencoded" forHTTPHeaderField:@"Content-Type"];
request.HTTPBody = [postString dataUsingEncoding:NSUTF8StringEncoding]; // 设置HTTPBody为转换后的参数字符串

NSURLSession *session = [NSURLSession sharedSession];
NSURLSessionDataTask *task = [session dataTaskWithRequest:request completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
    if (error) {
        // 网络请求异常处理
        NSLog(@"请求异常");
    } else {
        NSError *jsonError;
        NSDictionary *responseResult = [NSJSONSerialization JSONObjectWithData:data options:0 error:&jsonError];
        if (!jsonError) {
            // 网络请求成功处理
            NSLog(@"%@", [responseResult objectForKey:@"error_code"]);
            NSLog(@"%@", [responseResult objectForKey:@"reason"]);
            NSLog(@"%@", responseResult);
        } else {
            // 解析结果异常处理
            NSLog(@"解析结果异常");
        }
    }
}];
[task resume];