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DeepAI 도구에 대한 가이드, 참고 자료 및 API 문서

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AI 이미지 생성기맨 위로 ↑

이것은 AI 이미지 생성기예요. 텍스트 설명을 바탕으로 이미지를 처음부터 생성해요.

엔드포인트: POST https://api.deepai.org/api/text2img

매개변수
매개변수유형필수기본값
text text

text — 생성할 내용을 설명하는 문자열. 예: “고요한 호수 위로 펼쳐진 별이 빛나는 밤” 또는 “늙은 해적의 초상화”.

width, height — 문자열(예: "256" 또는 "768")로 전달해요(기본값 512). 128에서 1536 사이의 값을 32의 배수로 지정하세요. Standard 이미지 권장 크기: 1024x576, 1024x720, 512x512, 768x1024, 576x1024. HD 이미지 권장 크기: 1216x832, 1152x896, 1024x1024, 896x1152, 832x1216. 약 700보다 크거나 256보다 작은 값은 이상한 결과가 나올 수 있어요.

image_generator_version — "standard"(기본값), "hd", "genius" 또는 "super_genius".

resolution — "2k"(기본값) 또는 "4k". image_generator_version 값이 "super_genius"인 경우에만 사용돼요.

genius_preference — "anime", "photography", "graphic" 또는 "cinematic". image_generator_version 값이 "genius"일 때만 사용돼요.

negative_prompt — 이미지에서 제거할 요소를 설명하는 문자열로, 품질과 디테일을 개선하는 데 유용해요. 예: bad anatomy, blurry, cropped, deformed, disfigured, duplicate, extra limbs, fused fingers, jpeg artifacts, low quality, lowres, mutated hands, out of frame, signature, text, watermark, worst quality.

AI 이미지 생성기 cURL 예시

# Example posting a text URL:

curl \
    -F 'text=YOUR_TEXT_HERE' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/text2img 


# Example posting a local text file:

curl \
    -F 'text=YOUR_TEXT_HERE' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/text2img 


# Example directly sending a text string:

curl \
    -F 'text=YOUR_TEXT_HERE' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/text2img 

AI 이미지 생성기 Javascript 예시

// Example posting a text URL:
(async function() {
    const resp = await fetch('https://api.deepai.org/api/text2img', {
        method: 'POST',
        headers: {
            'Content-Type': 'application/json',
            'api-key': 'YOUR_API_KEY'
        },
        body: JSON.stringify({
            text: "YOUR_TEXT_HERE",
        })
    });
    
    const data = await resp.json();
    console.log(data);
})()


// Example posting file picker input text (Browser only):
document.getElementById('yourFileInputId').addEventListener('change', async function() {
       const formData = new FormData();
       formData.append('text', 'YOUR_TEXT_HERE');

       const resp = await fetch('https://api.deepai.org/api/text2img', {
           method: 'POST',
           headers: {
               'api-key': 'YOUR_API_KEY'
           },
           body: formData
       });

       const data = await resp.json();
       console.log(data);
});

// Example posting a local text file (Node.js only):
const fs = require('fs');
(async function() {
       const formData = new FormData();
       formData.append('text', 'YOUR_TEXT_HERE');

       const resp = await fetch('https://api.deepai.org/api/text2img', {
           method: 'POST',
           headers: {
               'api-key': 'YOUR_API_KEY'
           },
           body: formData
       });

       const data = await resp.json();
       console.log(data);
});

// Example directly sending a text string:
(async function() {
    const resp = await fetch('https://api.deepai.org/api/text2img', {
        method: 'POST',
        headers: {
            'Content-Type': 'application/json',
            'api-key': 'YOUR_API_KEY'
        },
        body: JSON.stringify({
            text: "YOUR_TEXT_HERE",
        })
    });
    
    const data = await resp.json();
    console.log(data);
})()

AI 이미지 생성기 Python 예시

# Example posting a text URL:

import requests
r = requests.post(
    "https://api.deepai.org/api/text2img",
    data={
        'text': 'YOUR_TEXT_HERE',
    },
    headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())


# Example posting a local text file:

import requests
r = requests.post(
    "https://api.deepai.org/api/text2img",
    data={
        'text': 'YOUR_TEXT_HERE',
    },
    headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())


# Example directly sending a text string:

import requests
r = requests.post(
    "https://api.deepai.org/api/text2img",
    data={
        'text': 'YOUR_TEXT_HERE',
    },
    headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())

AI 이미지 생성기 Ruby 예시

# Example posting a text URL:

require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/text2img', timeout: 600,
    headers: {'api-key' => 'YOUR_API_KEY'},
    payload: {
        'text' => 'YOUR_TEXT_HERE',
    }
)
puts r


# Example posting a local text file:

require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/text2img', timeout: 600,
    headers: {'api-key' => 'YOUR_API_KEY'},
    payload: {
        'text' => 'YOUR_TEXT_HERE',
    }
)
puts r


# Example directly sending a text string:

require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/text2img', timeout: 600,
    headers: {'api-key' => 'YOUR_API_KEY'},
    payload: {
        'text' => 'YOUR_TEXT_HERE',
    }
)
puts r

AI 이미지 생성기 Php 예시

// Example posting a text URL:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)

use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;

$client = new Client();
$headers = [
    'api-key' => 'YOUR_API_KEY'
];
$options = [
    'multipart' => [
        [
            'name'     => 'text',
            'contents' => 'YOUR_TEXT_HERE'
        ],
    ]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/text2img', $headers);
try {
    $res = $client->sendAsync($request, $options)->wait();
    echo $res->getBody();
} catch (Exception $e) {
    echo 'Error: ' . $e->getMessage();
}
?>


// Example posting a local text file:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)

use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;

$client = new Client();
$headers = [
    'api-key' => 'YOUR_API_KEY'
];
$options = [
    'multipart' => [
        [
            'name'     => 'text',
            'contents' => 'YOUR_TEXT_HERE'
        ],
    ]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/text2img', $headers);
try {
    $res = $client->sendAsync($request, $options)->wait();
    echo $res->getBody();
} catch (Exception $e) {
    echo 'Error: ' . $e->getMessage();
}
?>


// Example directly sending a text string:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)

use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;

$client = new Client();
$headers = [
    'api-key' => 'YOUR_API_KEY'
];
$options = [
    'multipart' => [
        [
            'name'     => 'text',
            'contents' => 'YOUR_TEXT_HERE'
        ],
    ]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/text2img', $headers);
try {
    $res = $client->sendAsync($request, $options)->wait();
    echo $res->getBody();
} catch (Exception $e) {
    echo 'Error: ' . $e->getMessage();
}
?>

AI 이미지 생성기 Go 예시

// Example posting a text URL:
package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
)

func main() {
    url := "https://api.deepai.org/api/text2img"
    payload := map[string]string{
        "text": "YOUR_TEXT_HERE",
    }
    jsonData, _ := json.Marshal(payload)

    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
    req.Header.Set("Content-Type", "application/json")
    req.Header.Set("api-key", "YOUR_API_KEY")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    fmt.Println(string(body))
}


// Example posting a local text file:
package main

import (
    "bytes"
    "fmt"
    "io"
    "mime/multipart"
    "net/http"
    "os"
)

func main() {
    url := "https://api.deepai.org/api/text2img"

    var b bytes.Buffer
    w := multipart.NewWriter(&b)

    w.WriteField("text", "YOUR_TEXT_HERE")

    if err := w.Close(); err != nil {
        panic(err)
    }

    req, _ := http.NewRequest("POST", url, &b)
    req.Header.Set("Content-Type", w.FormDataContentType())
    req.Header.Set("api-key", "YOUR_API_KEY")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    fmt.Println(string(body))
}


// Example directly sending a text string:
package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
)

func main() {
    url := "https://api.deepai.org/api/text2img"
    payload := map[string]string{
        "text": "YOUR_TEXT_HERE",
    }
    jsonData, _ := json.Marshal(payload)

    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
    req.Header.Set("Content-Type", "application/json")
    req.Header.Set("api-key", "YOUR_API_KEY")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    fmt.Println(string(body))
}

AI 이미지 생성기 Java 예시

// Example posting a text URL:
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 {
        HttpClient client = HttpClient.newHttpClient();

        String json = "{" +
            "\"text\": \"YOUR_TEXT_HERE\"" +
            "}";

        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create("https://api.deepai.org/api/text2img"))
            .header("Content-Type", "application/json")
            .header("api-key", "YOUR_API_KEY")
            .POST(HttpRequest.BodyPublishers.ofString(json))
            .build();

        HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
        System.out.println(response.body());
    }
}


// Example posting a local text file:
// Add to build.gradle: implementation 'com.squareup.okhttp3:okhttp:4.12.0'
import okhttp3.*;
import java.io.File;
import java.io.IOException;

public class Main {
    public static void main(String[] args) throws IOException {
        OkHttpClient client = new OkHttpClient();

        RequestBody requestBody = new MultipartBody.Builder()
            .setType(MultipartBody.FORM)
            .addFormDataPart("text", "YOUR_TEXT_HERE")
            .build();

        Request request = new Request.Builder()
            .url("https://api.deepai.org/api/text2img")
            .addHeader("api-key", "YOUR_API_KEY")
            .post(requestBody)
            .build();

        try (Response response = client.newCall(request).execute()) {
            System.out.println(response.body().string());
        }
    }
}


// Example directly sending a text string:
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 {
        HttpClient client = HttpClient.newHttpClient();

        String json = "{" +
            "\"text\": \"YOUR_TEXT_HERE\"" +
            "}";

        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create("https://api.deepai.org/api/text2img"))
            .header("Content-Type", "application/json")
            .header("api-key", "YOUR_API_KEY")
            .POST(HttpRequest.BodyPublishers.ofString(json))
            .build();

        HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
        System.out.println(response.body());
    }
}

AI 이미지 생성기 C# 예시

// Example posting a text URL:
using System;
using System.Net.Http;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;

class Program
{
    static async Task Main()
    {
        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");

        var payload = new
        {
            text = "YOUR_TEXT_HERE",
        };

        var json = JsonSerializer.Serialize(payload);
        var content = new StringContent(json, Encoding.UTF8, "application/json");

        var response = await client.PostAsync("https://api.deepai.org/api/text2img", content);
        var result = await response.Content.ReadAsStringAsync();
        Console.WriteLine(result);
    }
}


// Example posting a local text file:
using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;

class Program
{
    static async Task Main()
    {
        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");

        using var form = new MultipartFormDataContent();

        form.Add(new StringContent("YOUR_TEXT_HERE"), "text");

        var response = await client.PostAsync("https://api.deepai.org/api/text2img", form);
        var result = await response.Content.ReadAsStringAsync();
        Console.WriteLine(result);
    }
}


// Example directly sending a text string:
using System;
using System.Net.Http;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;

class Program
{
    static async Task Main()
    {
        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");

        var payload = new
        {
            text = "YOUR_TEXT_HERE",
        };

        var json = JsonSerializer.Serialize(payload);
        var content = new StringContent(json, Encoding.UTF8, "application/json");

        var response = await client.PostAsync("https://api.deepai.org/api/text2img", content);
        var result = await response.Content.ReadAsStringAsync();
        Console.WriteLine(result);
    }
}

AI 이미지 생성기 Swift 예시

// Example posting a text URL:
import Foundation

let url = URL(string: "https://api.deepai.org/api/text2img")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")

let payload: [String: Any] = [
    "text": "YOUR_TEXT_HERE",
]

request.httpBody = try? JSONSerialization.data(withJSONObject: payload)

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

// Keep the program running for async request
RunLoop.main.run()


// Example posting a local text file:
import Foundation

let url = URL(string: "https://api.deepai.org/api/text2img")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")

let boundary = UUID().uuidString
request.setValue("multipart/form-data; boundary=\(boundary)", forHTTPHeaderField: "Content-Type")

var body = Data()

body.append("--\(boundary)\r\n".data(using: .utf8)!)
body.append("Content-Disposition: form-data; name=\"text\"\r\n\r\n".data(using: .utf8)!)
body.append("YOUR_TEXT_HERE".data(using: .utf8)!)
body.append("\r\n".data(using: .utf8)!)

body.append("--\(boundary)--\r\n".data(using: .utf8)!)
request.httpBody = body

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

RunLoop.main.run()


// Example directly sending a text string:
import Foundation

let url = URL(string: "https://api.deepai.org/api/text2img")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")

let payload: [String: Any] = [
    "text": "YOUR_TEXT_HERE",
]

request.httpBody = try? JSONSerialization.data(withJSONObject: payload)

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

RunLoop.main.run()

AI 이미지 생성기 Kotlin 예시

// Example posting a text URL:
import java.net.URI
import java.net.http.HttpClient
import java.net.http.HttpRequest
import java.net.http.HttpResponse

fun main() {
    val client = HttpClient.newHttpClient()

    val json = """{
        "text": "YOUR_TEXT_HERE"
    }"""

    val request = HttpRequest.newBuilder()
        .uri(URI.create("https://api.deepai.org/api/text2img"))
        .header("Content-Type", "application/json")
        .header("api-key", "YOUR_API_KEY")
        .POST(HttpRequest.BodyPublishers.ofString(json))
        .build()

    val response = client.send(request, HttpResponse.BodyHandlers.ofString())
    println(response.body())
}


// Example posting a local text file:
// Add to build.gradle.kts: implementation("com.squareup.okhttp3:okhttp:4.12.0")
import okhttp3.*
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.RequestBody.Companion.asRequestBody
import java.io.File

fun main() {
    val client = OkHttpClient()

    val requestBody = MultipartBody.Builder()
        .setType(MultipartBody.FORM)
        .addFormDataPart("text", "YOUR_TEXT_HERE")
        .build()

    val request = Request.Builder()
        .url("https://api.deepai.org/api/text2img")
        .addHeader("api-key", "YOUR_API_KEY")
        .post(requestBody)
        .build()

    client.newCall(request).execute().use { response ->
        println(response.body?.string())
    }
}


// Example directly sending a text string:
import java.net.URI
import java.net.http.HttpClient
import java.net.http.HttpRequest
import java.net.http.HttpResponse

fun main() {
    val client = HttpClient.newHttpClient()

    val json = """{
        "text": "YOUR_TEXT_HERE"
    }"""

    val request = HttpRequest.newBuilder()
        .uri(URI.create("https://api.deepai.org/api/text2img"))
        .header("Content-Type", "application/json")
        .header("api-key", "YOUR_API_KEY")
        .POST(HttpRequest.BodyPublishers.ofString(json))
        .build()

    val response = client.send(request, HttpResponse.BodyHandlers.ofString())
    println(response.body())
}

AI 이미지 생성기 Rust 예시

// Example posting a text URL:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
// serde_json = "1"

use reqwest::header::HeaderMap;
use std::collections::HashMap;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = reqwest::Client::new();

    let mut headers = HeaderMap::new();
    headers.insert("api-key", "YOUR_API_KEY".parse()?);

    let mut payload = HashMap::new();
    payload.insert("text", "YOUR_TEXT_HERE");

    let response = client
        .post("https://api.deepai.org/api/text2img")
        .headers(headers)
        .json(&payload)
        .send()
        .await?;

    println!("{}", response.text().await?);
    Ok(())
}


// Example posting a local text file:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }

use reqwest::multipart;
use std::fs;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = reqwest::Client::new();

    let form = multipart::Form::new()
        .text("text", "YOUR_TEXT_HERE");

    let response = client
        .post("https://api.deepai.org/api/text2img")
        .header("api-key", "YOUR_API_KEY")
        .multipart(form)
        .send()
        .await?;

    println!("{}", response.text().await?);
    Ok(())
}


// Example directly sending a text string:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
// serde_json = "1"

use reqwest::header::HeaderMap;
use std::collections::HashMap;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = reqwest::Client::new();

    let mut headers = HeaderMap::new();
    headers.insert("api-key", "YOUR_API_KEY".parse()?);

    let mut payload = HashMap::new();
    payload.insert("text", "YOUR_TEXT_HERE");

    let response = client
        .post("https://api.deepai.org/api/text2img")
        .headers(headers)
        .json(&payload)
        .send()
        .await?;

    println!("{}", response.text().await?);
    Ok(())
}

AI 이미지 생성기 TypeScript 예시

// Example posting a text URL:
interface ApiResponse {
    // Define your response type here
    [key: string]: unknown;
}

async function callApi(): Promise<ApiResponse> {
    const response = await fetch('https://api.deepai.org/api/text2img', {
        method: 'POST',
        headers: {
            'Content-Type': 'application/json',
            'api-key': 'YOUR_API_KEY'
        },
        body: JSON.stringify({
            text: 'YOUR_TEXT_HERE',
        })
    });

    const data: ApiResponse = await response.json();
    console.log(data);
    return data;
}

callApi();


// Example posting a local text file (Node.js with form-data package):
// npm install form-data
import * as fs from 'fs';
import FormData from 'form-data';

interface ApiResponse {
    [key: string]: unknown;
}

async function uploadFile(): Promise<ApiResponse> {
    const formData = new FormData();
    formData.append('text', 'YOUR_TEXT_HERE');

    const response = await fetch('https://api.deepai.org/api/text2img', {
        method: 'POST',
        headers: {
            ...formData.getHeaders(),
            'api-key': 'YOUR_API_KEY'
        },
        body: formData as unknown as BodyInit
    });

    const data: ApiResponse = await response.json();
    console.log(data);
    return data;
}

uploadFile();


// Example directly sending a text string:
interface ApiResponse {
    [key: string]: unknown;
}

async function callApi(): Promise<ApiResponse> {
    const response = await fetch('https://api.deepai.org/api/text2img', {
        method: 'POST',
        headers: {
            'Content-Type': 'application/json',
            'api-key': 'YOUR_API_KEY'
        },
        body: JSON.stringify({
            text: 'YOUR_TEXT_HERE',
        })
    });

    const data: ApiResponse = await response.json();
    console.log(data);
    return data;
}

callApi();

AI 이미지 생성기 Dart 예시

// Example posting a text URL:
// Add to pubspec.yaml: http: ^1.1.0

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

Future<void> main() async {
  final response = await http.post(
    Uri.parse('https://api.deepai.org/api/text2img'),
    headers: {
      'Content-Type': 'application/json',
      'api-key': 'YOUR_API_KEY',
    },
    body: jsonEncode({
      'text': 'YOUR_TEXT_HERE',
    }),
  );

  print(response.body);
}


// Example posting a local text file:
// Add to pubspec.yaml: http: ^1.1.0

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

Future<void> main() async {
  var request = http.MultipartRequest(
    'POST',
    Uri.parse('https://api.deepai.org/api/text2img'),
  );

  request.headers['api-key'] = 'YOUR_API_KEY';

  request.fields['text'] = 'YOUR_TEXT_HERE';

  var response = await request.send();
  var responseBody = await response.stream.bytesToString();
  print(responseBody);
}


// Example directly sending a text string:
// Add to pubspec.yaml: http: ^1.1.0

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

Future<void> main() async {
  final response = await http.post(
    Uri.parse('https://api.deepai.org/api/text2img'),
    headers: {
      'Content-Type': 'application/json',
      'api-key': 'YOUR_API_KEY',
    },
    body: jsonEncode({
      'text': 'YOUR_TEXT_HERE',
    }),
  );

  print(response.body);
}

AI 이미지 생성기 PowerShell 예시

# Example posting a text URL:

$r = Invoke-WebRequest `
    -Uri https://api.deepai.org/api/text2img `
    -Method Post `
    -Form @{
         text='YOUR_TEXT_HERE' 
    } `
    -Headers @{
        'api-key'='YOUR_API_KEY' 
    } 
$r.Content

# Example posting a local text file:

$r = Invoke-WebRequest `
    -Uri https://api.deepai.org/api/text2img `
    -Method Post `
    -Form @{
         text='YOUR_TEXT_HERE' 
    } `
    -Headers @{
        'api-key'='YOUR_API_KEY' 
    } 
$r.Content

# Example directly sending a text string:

$r = Invoke-WebRequest `
    -Uri https://api.deepai.org/api/text2img `
    -Method Post `
    -Form @{
         text='YOUR_TEXT_HERE' 
    } `
    -Headers @{
        'api-key'='YOUR_API_KEY' 
    } 
$r.Content

배경 제거기맨 위로 ↑

AI를 사용하여 이미지 배경을 제거하세요.

엔드포인트: POST https://api.deepai.org/api/background-remover

매개변수
매개변수유형필수기본값
image image

배경 제거기 cURL 예시

# Example posting a image URL:

curl \
    -F 'image=YOUR_IMAGE_URL' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/background-remover 


# Example posting a local image file:

curl \
    -F 'image=@/path/to/your/file.jpg' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/background-remover 

배경 제거기 Javascript 예시

// Example posting a image URL:
(async function() {
    const resp = await fetch('https://api.deepai.org/api/background-remover', {
        method: 'POST',
        headers: {
            'Content-Type': 'application/json',
            'api-key': 'YOUR_API_KEY'
        },
        body: JSON.stringify({
            image: "YOUR_IMAGE_URL",
        })
    });
    
    const data = await resp.json();
    console.log(data);
})()


// Example posting file picker input image (Browser only):
document.getElementById('yourFileInputId').addEventListener('change', async function() {
       const formData = new FormData();
       formData.append('image', this.files[0]);

       const resp = await fetch('https://api.deepai.org/api/background-remover', {
           method: 'POST',
           headers: {
               'api-key': 'YOUR_API_KEY'
           },
           body: formData
       });

       const data = await resp.json();
       console.log(data);
});

// Example posting a local image file (Node.js only):
const fs = require('fs');
(async function() {
       const formData = new FormData();
       const jpgFileStream = fs.createReadStream("/path/to/your/file.jpg");
       formData.append('image', jpgFileStream);

       const resp = await fetch('https://api.deepai.org/api/background-remover', {
           method: 'POST',
           headers: {
               'api-key': 'YOUR_API_KEY'
           },
           body: formData
       });

       const data = await resp.json();
       console.log(data);
});

배경 제거기 Python 예시

# Example posting a image URL:

import requests
r = requests.post(
    "https://api.deepai.org/api/background-remover",
    data={
        'image': 'YOUR_IMAGE_URL',
    },
    headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())


# Example posting a local image file:

import requests
r = requests.post(
    "https://api.deepai.org/api/background-remover",
    files={
        'image': open('/path/to/your/file.jpg', 'rb'),
    },
    headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())

배경 제거기 Ruby 예시

# Example posting a image URL:

require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/background-remover', timeout: 600,
    headers: {'api-key' => 'YOUR_API_KEY'},
    payload: {
        'image' => 'YOUR_IMAGE_URL',
    }
)
puts r


# Example posting a local image file:

require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/background-remover', timeout: 600,
    headers: {'api-key' => 'YOUR_API_KEY'},
    payload: {
        'image' => File.new('/path/to/your/file.jpg'),
    }
)
puts r

배경 제거기 Php 예시

// Example posting a image URL:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)

use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;

$client = new Client();
$headers = [
    'api-key' => 'YOUR_API_KEY'
];
$options = [
    'multipart' => [
        [
            'name'     => 'image',
            'contents' => 'YOUR_IMAGE_URL'
        ],
    ]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/background-remover', $headers);
try {
    $res = $client->sendAsync($request, $options)->wait();
    echo $res->getBody();
} catch (Exception $e) {
    echo 'Error: ' . $e->getMessage();
}
?>


// Example posting a local image file:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)

use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;

$client = new Client();
$headers = [
    'api-key' => 'YOUR_API_KEY'
];
$options = [
    'multipart' => [
        [
            'name'     => 'image',
            'contents' => Utils::tryFopen('/path/to/your/file.jpg', 'r')
        ],
    ]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/background-remover', $headers);
try {
    $res = $client->sendAsync($request, $options)->wait();
    echo $res->getBody();
} catch (Exception $e) {
    echo 'Error: ' . $e->getMessage();
}
?>

배경 제거기 Go 예시

// Example posting a image URL:
package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
)

func main() {
    url := "https://api.deepai.org/api/background-remover"
    payload := map[string]string{
        "image": "YOUR_IMAGE_URL",
    }
    jsonData, _ := json.Marshal(payload)

    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
    req.Header.Set("Content-Type", "application/json")
    req.Header.Set("api-key", "YOUR_API_KEY")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    fmt.Println(string(body))
}


// Example posting a local image file:
package main

import (
    "bytes"
    "fmt"
    "io"
    "mime/multipart"
    "net/http"
    "os"
)

func main() {
    url := "https://api.deepai.org/api/background-remover"

    var b bytes.Buffer
    w := multipart.NewWriter(&b)

    imageFile, _ := os.Open("/path/to/your/file.jpg")
    defer imageFile.Close()
    imageWriter, _ := w.CreateFormFile("image", "file.jpg")
    io.Copy(imageWriter, imageFile)

    if err := w.Close(); err != nil {
        panic(err)
    }

    req, _ := http.NewRequest("POST", url, &b)
    req.Header.Set("Content-Type", w.FormDataContentType())
    req.Header.Set("api-key", "YOUR_API_KEY")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    fmt.Println(string(body))
}

배경 제거기 Java 예시

// Example posting a image URL:
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 {
        HttpClient client = HttpClient.newHttpClient();

        String json = "{" +
            "\"image\": \"YOUR_IMAGE_URL\"" +
            "}";

        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create("https://api.deepai.org/api/background-remover"))
            .header("Content-Type", "application/json")
            .header("api-key", "YOUR_API_KEY")
            .POST(HttpRequest.BodyPublishers.ofString(json))
            .build();

        HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
        System.out.println(response.body());
    }
}


// Example posting a local image file:
// Add to build.gradle: implementation 'com.squareup.okhttp3:okhttp:4.12.0'
import okhttp3.*;
import java.io.File;
import java.io.IOException;

public class Main {
    public static void main(String[] args) throws IOException {
        OkHttpClient client = new OkHttpClient();

        RequestBody requestBody = new MultipartBody.Builder()
            .setType(MultipartBody.FORM)
            .addFormDataPart("image", "file.jpg", RequestBody.create(new File("/path/to/your/file.jpg"), MediaType.parse("application/octet-stream")))
            .build();

        Request request = new Request.Builder()
            .url("https://api.deepai.org/api/background-remover")
            .addHeader("api-key", "YOUR_API_KEY")
            .post(requestBody)
            .build();

        try (Response response = client.newCall(request).execute()) {
            System.out.println(response.body().string());
        }
    }
}

배경 제거기 C# 예시

// Example posting a image URL:
using System;
using System.Net.Http;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;

class Program
{
    static async Task Main()
    {
        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");

        var payload = new
        {
            image = "YOUR_IMAGE_URL",
        };

        var json = JsonSerializer.Serialize(payload);
        var content = new StringContent(json, Encoding.UTF8, "application/json");

        var response = await client.PostAsync("https://api.deepai.org/api/background-remover", content);
        var result = await response.Content.ReadAsStringAsync();
        Console.WriteLine(result);
    }
}


// Example posting a local image file:
using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;

class Program
{
    static async Task Main()
    {
        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");

        using var form = new MultipartFormDataContent();

        var imageStream = File.OpenRead("/path/to/your/file.jpg");
        form.Add(new StreamContent(imageStream), "image", "file.jpg");

        var response = await client.PostAsync("https://api.deepai.org/api/background-remover", form);
        var result = await response.Content.ReadAsStringAsync();
        Console.WriteLine(result);
    }
}

배경 제거기 Swift 예시

// Example posting a image URL:
import Foundation

let url = URL(string: "https://api.deepai.org/api/background-remover")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")

let payload: [String: Any] = [
    "image": "YOUR_IMAGE_URL",
]

request.httpBody = try? JSONSerialization.data(withJSONObject: payload)

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

// Keep the program running for async request
RunLoop.main.run()


// Example posting a local image file:
import Foundation

let url = URL(string: "https://api.deepai.org/api/background-remover")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")

let boundary = UUID().uuidString
request.setValue("multipart/form-data; boundary=\(boundary)", forHTTPHeaderField: "Content-Type")

var body = Data()

let imageData = try! Data(contentsOf: URL(fileURLWithPath: "/path/to/your/file.jpg"))
body.append("--\(boundary)\r\n".data(using: .utf8)!)
body.append("Content-Disposition: form-data; name=\"image\"; filename=\"file.jpg\"\r\n".data(using: .utf8)!)
body.append("Content-Type: application/octet-stream\r\n\r\n".data(using: .utf8)!)
body.append(imageData)
body.append("\r\n".data(using: .utf8)!)

body.append("--\(boundary)--\r\n".data(using: .utf8)!)
request.httpBody = body

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

RunLoop.main.run()

배경 제거기 Kotlin 예시

// Example posting a image URL:
import java.net.URI
import java.net.http.HttpClient
import java.net.http.HttpRequest
import java.net.http.HttpResponse

fun main() {
    val client = HttpClient.newHttpClient()

    val json = """{
        "image": "YOUR_IMAGE_URL"
    }"""

    val request = HttpRequest.newBuilder()
        .uri(URI.create("https://api.deepai.org/api/background-remover"))
        .header("Content-Type", "application/json")
        .header("api-key", "YOUR_API_KEY")
        .POST(HttpRequest.BodyPublishers.ofString(json))
        .build()

    val response = client.send(request, HttpResponse.BodyHandlers.ofString())
    println(response.body())
}


// Example posting a local image file:
// Add to build.gradle.kts: implementation("com.squareup.okhttp3:okhttp:4.12.0")
import okhttp3.*
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.RequestBody.Companion.asRequestBody
import java.io.File

fun main() {
    val client = OkHttpClient()

    val requestBody = MultipartBody.Builder()
        .setType(MultipartBody.FORM)
        .addFormDataPart("image", "file.jpg", File("/path/to/your/file.jpg").asRequestBody("application/octet-stream".toMediaType()))
        .build()

    val request = Request.Builder()
        .url("https://api.deepai.org/api/background-remover")
        .addHeader("api-key", "YOUR_API_KEY")
        .post(requestBody)
        .build()

    client.newCall(request).execute().use { response ->
        println(response.body?.string())
    }
}

배경 제거기 Rust 예시

// Example posting a image URL:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
// serde_json = "1"

use reqwest::header::HeaderMap;
use std::collections::HashMap;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = reqwest::Client::new();

    let mut headers = HeaderMap::new();
    headers.insert("api-key", "YOUR_API_KEY".parse()?);

    let mut payload = HashMap::new();
    payload.insert("image", "YOUR_IMAGE_URL");

    let response = client
        .post("https://api.deepai.org/api/background-remover")
        .headers(headers)
        .json(&payload)
        .send()
        .await?;

    println!("{}", response.text().await?);
    Ok(())
}


// Example posting a local image file:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }

use reqwest::multipart;
use std::fs;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = reqwest::Client::new();

    let form = multipart::Form::new()
        .file("image", "/path/to/your/file.jpg")?;

    let response = client
        .post("https://api.deepai.org/api/background-remover")
        .header("api-key", "YOUR_API_KEY")
        .multipart(form)
        .send()
        .await?;

    println!("{}", response.text().await?);
    Ok(())
}

배경 제거기 TypeScript 예시

// Example posting a image URL:
interface ApiResponse {
    // Define your response type here
    [key: string]: unknown;
}

async function callApi(): Promise<ApiResponse> {
    const response = await fetch('https://api.deepai.org/api/background-remover', {
        method: 'POST',
        headers: {
            'Content-Type': 'application/json',
            'api-key': 'YOUR_API_KEY'
        },
        body: JSON.stringify({
            image: 'YOUR_IMAGE_URL',
        })
    });

    const data: ApiResponse = await response.json();
    console.log(data);
    return data;
}

callApi();


// Example posting a local image file (Node.js with form-data package):
// npm install form-data
import * as fs from 'fs';
import FormData from 'form-data';

interface ApiResponse {
    [key: string]: unknown;
}

async function uploadFile(): Promise<ApiResponse> {
    const formData = new FormData();
    formData.append('image', fs.createReadStream('/path/to/your/file.jpg'));

    const response = await fetch('https://api.deepai.org/api/background-remover', {
        method: 'POST',
        headers: {
            ...formData.getHeaders(),
            'api-key': 'YOUR_API_KEY'
        },
        body: formData as unknown as BodyInit
    });

    const data: ApiResponse = await response.json();
    console.log(data);
    return data;
}

uploadFile();

배경 제거기 Dart 예시

// Example posting a image URL:
// Add to pubspec.yaml: http: ^1.1.0

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

Future<void> main() async {
  final response = await http.post(
    Uri.parse('https://api.deepai.org/api/background-remover'),
    headers: {
      'Content-Type': 'application/json',
      'api-key': 'YOUR_API_KEY',
    },
    body: jsonEncode({
      'image': 'YOUR_IMAGE_URL',
    }),
  );

  print(response.body);
}


// Example posting a local image file:
// Add to pubspec.yaml: http: ^1.1.0

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

Future<void> main() async {
  var request = http.MultipartRequest(
    'POST',
    Uri.parse('https://api.deepai.org/api/background-remover'),
  );

  request.headers['api-key'] = 'YOUR_API_KEY';

  request.files.add(
    await http.MultipartFile.fromPath('image', '/path/to/your/file.jpg'),
  );

  var response = await request.send();
  var responseBody = await response.stream.bytesToString();
  print(responseBody);
}

배경 제거기 PowerShell 예시

# Example posting a image URL:

$r = Invoke-WebRequest `
    -Uri https://api.deepai.org/api/background-remover `
    -Method Post `
    -Form @{
         image='YOUR_IMAGE_URL' 
    } `
    -Headers @{
        'api-key'='YOUR_API_KEY' 
    } 
$r.Content

# Example posting a local image file:

$r = Invoke-WebRequest `
    -Uri https://api.deepai.org/api/background-remover `
    -Method Post `
    -Form @{
        image=Get-Item -Path '/path/to/your/file.jpg' 
    } `
    -Headers @{
        'api-key'='YOUR_API_KEY' 
    } 
$r.Content

AI 사진 편집기맨 위로 ↑

AI를 활용해 사진과 이미지를 편집하세요.

엔드포인트: POST https://api.deepai.org/api/image-editor

매개변수
매개변수유형필수기본값
image image
text text

image_generator_version — 선택 사항이에요. 더 높은 품질의 세밀한 편집을 원하면 "genius" 또는 "super_genius"를 전달하세요. 기본값은 Standard 편집기예요.

resolution — "2k"(기본값) 또는 "4k". image_generator_version 값이 "super_genius"인 경우에만 사용돼요.

AI 사진 편집기 cURL 예시

# Example posting a image URL:

curl \
    -F 'image=YOUR_IMAGE_URL' \
    -F 'text=YOUR_TEXT_HERE' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/image-editor 


# Example posting a local image file:

curl \
    -F 'image=@/path/to/your/file.jpg' \
    -F 'text=YOUR_TEXT_HERE' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/image-editor 

AI 사진 편집기 Javascript 예시

// Example posting a image URL:
(async function() {
    const resp = await fetch('https://api.deepai.org/api/image-editor', {
        method: 'POST',
        headers: {
            'Content-Type': 'application/json',
            'api-key': 'YOUR_API_KEY'
        },
        body: JSON.stringify({
            image: "YOUR_IMAGE_URL",
            text: "YOUR_TEXT_HERE",
        })
    });
    
    const data = await resp.json();
    console.log(data);
})()


// Example posting file picker input image (Browser only):
document.getElementById('yourFileInputId').addEventListener('change', async function() {
       const formData = new FormData();
       formData.append('image', this.files[0]);
       formData.append('text', 'YOUR_TEXT_HERE');

       const resp = await fetch('https://api.deepai.org/api/image-editor', {
           method: 'POST',
           headers: {
               'api-key': 'YOUR_API_KEY'
           },
           body: formData
       });

       const data = await resp.json();
       console.log(data);
});

// Example posting a local image file (Node.js only):
const fs = require('fs');
(async function() {
       const formData = new FormData();
       const jpgFileStream = fs.createReadStream("/path/to/your/file.jpg");
       formData.append('image', jpgFileStream);
       formData.append('text', 'YOUR_TEXT_HERE');

       const resp = await fetch('https://api.deepai.org/api/image-editor', {
           method: 'POST',
           headers: {
               'api-key': 'YOUR_API_KEY'
           },
           body: formData
       });

       const data = await resp.json();
       console.log(data);
});

AI 사진 편집기 Python 예시

# Example posting a image URL:

import requests
r = requests.post(
    "https://api.deepai.org/api/image-editor",
    data={
        'image': 'YOUR_IMAGE_URL',
        'text': 'YOUR_TEXT_HERE',
    },
    headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())


# Example posting a local image file:

import requests
r = requests.post(
    "https://api.deepai.org/api/image-editor",
    files={
        'image': open('/path/to/your/file.jpg', 'rb'),
    },
    data={
        'text': 'YOUR_TEXT_HERE',
    },
    headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())

AI 사진 편집기 Ruby 예시

# Example posting a image URL:

require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/image-editor', timeout: 600,
    headers: {'api-key' => 'YOUR_API_KEY'},
    payload: {
        'image' => 'YOUR_IMAGE_URL',
        'text' => 'YOUR_TEXT_HERE',
    }
)
puts r


# Example posting a local image file:

require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/image-editor', timeout: 600,
    headers: {'api-key' => 'YOUR_API_KEY'},
    payload: {
        'image' => File.new('/path/to/your/file.jpg'),
        'text' => 'YOUR_TEXT_HERE',
    }
)
puts r

AI 사진 편집기 Php 예시

// Example posting a image URL:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)

use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;

$client = new Client();
$headers = [
    'api-key' => 'YOUR_API_KEY'
];
$options = [
    'multipart' => [
        [
            'name'     => 'image',
            'contents' => 'YOUR_IMAGE_URL'
        ],
        [
            'name'     => 'text',
            'contents' => 'YOUR_TEXT_HERE'
        ],
    ]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/image-editor', $headers);
try {
    $res = $client->sendAsync($request, $options)->wait();
    echo $res->getBody();
} catch (Exception $e) {
    echo 'Error: ' . $e->getMessage();
}
?>


// Example posting a local image file:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)

use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;

$client = new Client();
$headers = [
    'api-key' => 'YOUR_API_KEY'
];
$options = [
    'multipart' => [
        [
            'name'     => 'image',
            'contents' => Utils::tryFopen('/path/to/your/file.jpg', 'r')
        ],
        [
            'name'     => 'text',
            'contents' => 'YOUR_TEXT_HERE'
        ],
    ]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/image-editor', $headers);
try {
    $res = $client->sendAsync($request, $options)->wait();
    echo $res->getBody();
} catch (Exception $e) {
    echo 'Error: ' . $e->getMessage();
}
?>

AI 사진 편집기 Go 예시

// Example posting a image URL:
package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
)

func main() {
    url := "https://api.deepai.org/api/image-editor"
    payload := map[string]string{
        "image": "YOUR_IMAGE_URL",
        "text": "YOUR_TEXT_HERE",
    }
    jsonData, _ := json.Marshal(payload)

    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
    req.Header.Set("Content-Type", "application/json")
    req.Header.Set("api-key", "YOUR_API_KEY")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    fmt.Println(string(body))
}


// Example posting a local image file:
package main

import (
    "bytes"
    "fmt"
    "io"
    "mime/multipart"
    "net/http"
    "os"
)

func main() {
    url := "https://api.deepai.org/api/image-editor"

    var b bytes.Buffer
    w := multipart.NewWriter(&b)

    imageFile, _ := os.Open("/path/to/your/file.jpg")
    defer imageFile.Close()
    imageWriter, _ := w.CreateFormFile("image", "file.jpg")
    io.Copy(imageWriter, imageFile)

    w.WriteField("text", "YOUR_TEXT_HERE")

    if err := w.Close(); err != nil {
        panic(err)
    }

    req, _ := http.NewRequest("POST", url, &b)
    req.Header.Set("Content-Type", w.FormDataContentType())
    req.Header.Set("api-key", "YOUR_API_KEY")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    fmt.Println(string(body))
}

AI 사진 편집기 Java 예시

// Example posting a image URL:
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 {
        HttpClient client = HttpClient.newHttpClient();

        String json = "{" +
            "\"image\": \"YOUR_IMAGE_URL\"" +
            "\"text\": \"YOUR_TEXT_HERE\"" +
            "}";

        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create("https://api.deepai.org/api/image-editor"))
            .header("Content-Type", "application/json")
            .header("api-key", "YOUR_API_KEY")
            .POST(HttpRequest.BodyPublishers.ofString(json))
            .build();

        HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
        System.out.println(response.body());
    }
}


// Example posting a local image file:
// Add to build.gradle: implementation 'com.squareup.okhttp3:okhttp:4.12.0'
import okhttp3.*;
import java.io.File;
import java.io.IOException;

public class Main {
    public static void main(String[] args) throws IOException {
        OkHttpClient client = new OkHttpClient();

        RequestBody requestBody = new MultipartBody.Builder()
            .setType(MultipartBody.FORM)
            .addFormDataPart("image", "file.jpg", RequestBody.create(new File("/path/to/your/file.jpg"), MediaType.parse("application/octet-stream")))
            .addFormDataPart("text", "YOUR_TEXT_HERE")
            .build();

        Request request = new Request.Builder()
            .url("https://api.deepai.org/api/image-editor")
            .addHeader("api-key", "YOUR_API_KEY")
            .post(requestBody)
            .build();

        try (Response response = client.newCall(request).execute()) {
            System.out.println(response.body().string());
        }
    }
}

AI 사진 편집기 C# 예시

// Example posting a image URL:
using System;
using System.Net.Http;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;

class Program
{
    static async Task Main()
    {
        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");

        var payload = new
        {
            image = "YOUR_IMAGE_URL",
            text = "YOUR_TEXT_HERE",
        };

        var json = JsonSerializer.Serialize(payload);
        var content = new StringContent(json, Encoding.UTF8, "application/json");

        var response = await client.PostAsync("https://api.deepai.org/api/image-editor", content);
        var result = await response.Content.ReadAsStringAsync();
        Console.WriteLine(result);
    }
}


// Example posting a local image file:
using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;

class Program
{
    static async Task Main()
    {
        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");

        using var form = new MultipartFormDataContent();

        var imageStream = File.OpenRead("/path/to/your/file.jpg");
        form.Add(new StreamContent(imageStream), "image", "file.jpg");

        form.Add(new StringContent("YOUR_TEXT_HERE"), "text");

        var response = await client.PostAsync("https://api.deepai.org/api/image-editor", form);
        var result = await response.Content.ReadAsStringAsync();
        Console.WriteLine(result);
    }
}

AI 사진 편집기 Swift 예시

// Example posting a image URL:
import Foundation

let url = URL(string: "https://api.deepai.org/api/image-editor")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")

let payload: [String: Any] = [
    "image": "YOUR_IMAGE_URL",
    "text": "YOUR_TEXT_HERE",
]

request.httpBody = try? JSONSerialization.data(withJSONObject: payload)

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

// Keep the program running for async request
RunLoop.main.run()


// Example posting a local image file:
import Foundation

let url = URL(string: "https://api.deepai.org/api/image-editor")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")

let boundary = UUID().uuidString
request.setValue("multipart/form-data; boundary=\(boundary)", forHTTPHeaderField: "Content-Type")

var body = Data()

let imageData = try! Data(contentsOf: URL(fileURLWithPath: "/path/to/your/file.jpg"))
body.append("--\(boundary)\r\n".data(using: .utf8)!)
body.append("Content-Disposition: form-data; name=\"image\"; filename=\"file.jpg\"\r\n".data(using: .utf8)!)
body.append("Content-Type: application/octet-stream\r\n\r\n".data(using: .utf8)!)
body.append(imageData)
body.append("\r\n".data(using: .utf8)!)

body.append("--\(boundary)\r\n".data(using: .utf8)!)
body.append("Content-Disposition: form-data; name=\"text\"\r\n\r\n".data(using: .utf8)!)
body.append("YOUR_TEXT_HERE".data(using: .utf8)!)
body.append("\r\n".data(using: .utf8)!)

body.append("--\(boundary)--\r\n".data(using: .utf8)!)
request.httpBody = body

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

RunLoop.main.run()

AI 사진 편집기 Kotlin 예시

// Example posting a image URL:
import java.net.URI
import java.net.http.HttpClient
import java.net.http.HttpRequest
import java.net.http.HttpResponse

fun main() {
    val client = HttpClient.newHttpClient()

    val json = """{
        "image": "YOUR_IMAGE_URL",
        "text": "YOUR_TEXT_HERE"
    }"""

    val request = HttpRequest.newBuilder()
        .uri(URI.create("https://api.deepai.org/api/image-editor"))
        .header("Content-Type", "application/json")
        .header("api-key", "YOUR_API_KEY")
        .POST(HttpRequest.BodyPublishers.ofString(json))
        .build()

    val response = client.send(request, HttpResponse.BodyHandlers.ofString())
    println(response.body())
}


// Example posting a local image file:
// Add to build.gradle.kts: implementation("com.squareup.okhttp3:okhttp:4.12.0")
import okhttp3.*
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.RequestBody.Companion.asRequestBody
import java.io.File

fun main() {
    val client = OkHttpClient()

    val requestBody = MultipartBody.Builder()
        .setType(MultipartBody.FORM)
        .addFormDataPart("image", "file.jpg", File("/path/to/your/file.jpg").asRequestBody("application/octet-stream".toMediaType()))
        .addFormDataPart("text", "YOUR_TEXT_HERE")
        .build()

    val request = Request.Builder()
        .url("https://api.deepai.org/api/image-editor")
        .addHeader("api-key", "YOUR_API_KEY")
        .post(requestBody)
        .build()

    client.newCall(request).execute().use { response ->
        println(response.body?.string())
    }
}

AI 사진 편집기 Rust 예시

// Example posting a image URL:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
// serde_json = "1"

use reqwest::header::HeaderMap;
use std::collections::HashMap;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = reqwest::Client::new();

    let mut headers = HeaderMap::new();
    headers.insert("api-key", "YOUR_API_KEY".parse()?);

    let mut payload = HashMap::new();
    payload.insert("image", "YOUR_IMAGE_URL");
    payload.insert("text", "YOUR_TEXT_HERE");

    let response = client
        .post("https://api.deepai.org/api/image-editor")
        .headers(headers)
        .json(&payload)
        .send()
        .await?;

    println!("{}", response.text().await?);
    Ok(())
}


// Example posting a local image file:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }

use reqwest::multipart;
use std::fs;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = reqwest::Client::new();

    let form = multipart::Form::new()
        .file("image", "/path/to/your/file.jpg")?
        .text("text", "YOUR_TEXT_HERE");

    let response = client
        .post("https://api.deepai.org/api/image-editor")
        .header("api-key", "YOUR_API_KEY")
        .multipart(form)
        .send()
        .await?;

    println!("{}", response.text().await?);
    Ok(())
}

AI 사진 편집기 TypeScript 예시

// Example posting a image URL:
interface ApiResponse {
    // Define your response type here
    [key: string]: unknown;
}

async function callApi(): Promise<ApiResponse> {
    const response = await fetch('https://api.deepai.org/api/image-editor', {
        method: 'POST',
        headers: {
            'Content-Type': 'application/json',
            'api-key': 'YOUR_API_KEY'
        },
        body: JSON.stringify({
            image: 'YOUR_IMAGE_URL',
            text: 'YOUR_TEXT_HERE',
        })
    });

    const data: ApiResponse = await response.json();
    console.log(data);
    return data;
}

callApi();


// Example posting a local image file (Node.js with form-data package):
// npm install form-data
import * as fs from 'fs';
import FormData from 'form-data';

interface ApiResponse {
    [key: string]: unknown;
}

async function uploadFile(): Promise<ApiResponse> {
    const formData = new FormData();
    formData.append('image', fs.createReadStream('/path/to/your/file.jpg'));
    formData.append('text', 'YOUR_TEXT_HERE');

    const response = await fetch('https://api.deepai.org/api/image-editor', {
        method: 'POST',
        headers: {
            ...formData.getHeaders(),
            'api-key': 'YOUR_API_KEY'
        },
        body: formData as unknown as BodyInit
    });

    const data: ApiResponse = await response.json();
    console.log(data);
    return data;
}

uploadFile();

AI 사진 편집기 Dart 예시

// Example posting a image URL:
// Add to pubspec.yaml: http: ^1.1.0

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

Future<void> main() async {
  final response = await http.post(
    Uri.parse('https://api.deepai.org/api/image-editor'),
    headers: {
      'Content-Type': 'application/json',
      'api-key': 'YOUR_API_KEY',
    },
    body: jsonEncode({
      'image': 'YOUR_IMAGE_URL',
      'text': 'YOUR_TEXT_HERE',
    }),
  );

  print(response.body);
}


// Example posting a local image file:
// Add to pubspec.yaml: http: ^1.1.0

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

Future<void> main() async {
  var request = http.MultipartRequest(
    'POST',
    Uri.parse('https://api.deepai.org/api/image-editor'),
  );

  request.headers['api-key'] = 'YOUR_API_KEY';

  request.files.add(
    await http.MultipartFile.fromPath('image', '/path/to/your/file.jpg'),
  );

  request.fields['text'] = 'YOUR_TEXT_HERE';

  var response = await request.send();
  var responseBody = await response.stream.bytesToString();
  print(responseBody);
}

AI 사진 편집기 PowerShell 예시

# Example posting a image URL:

$r = Invoke-WebRequest `
    -Uri https://api.deepai.org/api/image-editor `
    -Method Post `
    -Form @{
         image='YOUR_IMAGE_URL' 
         text='YOUR_TEXT_HERE' 
    } `
    -Headers @{
        'api-key'='YOUR_API_KEY' 
    } 
$r.Content

# Example posting a local image file:

$r = Invoke-WebRequest `
    -Uri https://api.deepai.org/api/image-editor `
    -Method Post `
    -Form @{
        image=Get-Item -Path '/path/to/your/file.jpg' 
         text='YOUR_TEXT_HERE' 
    } `
    -Headers @{
        'api-key'='YOUR_API_KEY' 
    } 
$r.Content

이미지 색상 입히기맨 위로 ↑

오래된 가족 사진이나 역사적 사진에 색을 입히거나, 색상 복원 기술을 통해 오래된 필름에 새로운 생명을 불어넣어 보세요.

엔드포인트: POST https://api.deepai.org/api/colorizer

매개변수
매개변수유형필수기본값
image image

이미지 색상 입히기 cURL 예시

# Example posting a image URL:

curl \
    -F 'image=YOUR_IMAGE_URL' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/colorizer 


# Example posting a local image file:

curl \
    -F 'image=@/path/to/your/file.jpg' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/colorizer 

이미지 색상 입히기 Javascript 예시

// Example posting a image URL:
(async function() {
    const resp = await fetch('https://api.deepai.org/api/colorizer', {
        method: 'POST',
        headers: {
            'Content-Type': 'application/json',
            'api-key': 'YOUR_API_KEY'
        },
        body: JSON.stringify({
            image: "YOUR_IMAGE_URL",
        })
    });
    
    const data = await resp.json();
    console.log(data);
})()


// Example posting file picker input image (Browser only):
document.getElementById('yourFileInputId').addEventListener('change', async function() {
       const formData = new FormData();
       formData.append('image', this.files[0]);

       const resp = await fetch('https://api.deepai.org/api/colorizer', {
           method: 'POST',
           headers: {
               'api-key': 'YOUR_API_KEY'
           },
           body: formData
       });

       const data = await resp.json();
       console.log(data);
});

// Example posting a local image file (Node.js only):
const fs = require('fs');
(async function() {
       const formData = new FormData();
       const jpgFileStream = fs.createReadStream("/path/to/your/file.jpg");
       formData.append('image', jpgFileStream);

       const resp = await fetch('https://api.deepai.org/api/colorizer', {
           method: 'POST',
           headers: {
               'api-key': 'YOUR_API_KEY'
           },
           body: formData
       });

       const data = await resp.json();
       console.log(data);
});

이미지 색상 입히기 Python 예시

# Example posting a image URL:

import requests
r = requests.post(
    "https://api.deepai.org/api/colorizer",
    data={
        'image': 'YOUR_IMAGE_URL',
    },
    headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())


# Example posting a local image file:

import requests
r = requests.post(
    "https://api.deepai.org/api/colorizer",
    files={
        'image': open('/path/to/your/file.jpg', 'rb'),
    },
    headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())

이미지 색상 입히기 Ruby 예시

# Example posting a image URL:

require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/colorizer', timeout: 600,
    headers: {'api-key' => 'YOUR_API_KEY'},
    payload: {
        'image' => 'YOUR_IMAGE_URL',
    }
)
puts r


# Example posting a local image file:

require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/colorizer', timeout: 600,
    headers: {'api-key' => 'YOUR_API_KEY'},
    payload: {
        'image' => File.new('/path/to/your/file.jpg'),
    }
)
puts r

이미지 색상 입히기 Php 예시

// Example posting a image URL:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)

use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;

$client = new Client();
$headers = [
    'api-key' => 'YOUR_API_KEY'
];
$options = [
    'multipart' => [
        [
            'name'     => 'image',
            'contents' => 'YOUR_IMAGE_URL'
        ],
    ]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/colorizer', $headers);
try {
    $res = $client->sendAsync($request, $options)->wait();
    echo $res->getBody();
} catch (Exception $e) {
    echo 'Error: ' . $e->getMessage();
}
?>


// Example posting a local image file:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)

use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;

$client = new Client();
$headers = [
    'api-key' => 'YOUR_API_KEY'
];
$options = [
    'multipart' => [
        [
            'name'     => 'image',
            'contents' => Utils::tryFopen('/path/to/your/file.jpg', 'r')
        ],
    ]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/colorizer', $headers);
try {
    $res = $client->sendAsync($request, $options)->wait();
    echo $res->getBody();
} catch (Exception $e) {
    echo 'Error: ' . $e->getMessage();
}
?>

이미지 색상 입히기 Go 예시

// Example posting a image URL:
package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
)

func main() {
    url := "https://api.deepai.org/api/colorizer"
    payload := map[string]string{
        "image": "YOUR_IMAGE_URL",
    }
    jsonData, _ := json.Marshal(payload)

    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
    req.Header.Set("Content-Type", "application/json")
    req.Header.Set("api-key", "YOUR_API_KEY")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    fmt.Println(string(body))
}


// Example posting a local image file:
package main

import (
    "bytes"
    "fmt"
    "io"
    "mime/multipart"
    "net/http"
    "os"
)

func main() {
    url := "https://api.deepai.org/api/colorizer"

    var b bytes.Buffer
    w := multipart.NewWriter(&b)

    imageFile, _ := os.Open("/path/to/your/file.jpg")
    defer imageFile.Close()
    imageWriter, _ := w.CreateFormFile("image", "file.jpg")
    io.Copy(imageWriter, imageFile)

    if err := w.Close(); err != nil {
        panic(err)
    }

    req, _ := http.NewRequest("POST", url, &b)
    req.Header.Set("Content-Type", w.FormDataContentType())
    req.Header.Set("api-key", "YOUR_API_KEY")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    fmt.Println(string(body))
}

이미지 색상 입히기 Java 예시

// Example posting a image URL:
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 {
        HttpClient client = HttpClient.newHttpClient();

        String json = "{" +
            "\"image\": \"YOUR_IMAGE_URL\"" +
            "}";

        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create("https://api.deepai.org/api/colorizer"))
            .header("Content-Type", "application/json")
            .header("api-key", "YOUR_API_KEY")
            .POST(HttpRequest.BodyPublishers.ofString(json))
            .build();

        HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
        System.out.println(response.body());
    }
}


// Example posting a local image file:
// Add to build.gradle: implementation 'com.squareup.okhttp3:okhttp:4.12.0'
import okhttp3.*;
import java.io.File;
import java.io.IOException;

public class Main {
    public static void main(String[] args) throws IOException {
        OkHttpClient client = new OkHttpClient();

        RequestBody requestBody = new MultipartBody.Builder()
            .setType(MultipartBody.FORM)
            .addFormDataPart("image", "file.jpg", RequestBody.create(new File("/path/to/your/file.jpg"), MediaType.parse("application/octet-stream")))
            .build();

        Request request = new Request.Builder()
            .url("https://api.deepai.org/api/colorizer")
            .addHeader("api-key", "YOUR_API_KEY")
            .post(requestBody)
            .build();

        try (Response response = client.newCall(request).execute()) {
            System.out.println(response.body().string());
        }
    }
}

이미지 색상 입히기 C# 예시

// Example posting a image URL:
using System;
using System.Net.Http;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;

class Program
{
    static async Task Main()
    {
        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");

        var payload = new
        {
            image = "YOUR_IMAGE_URL",
        };

        var json = JsonSerializer.Serialize(payload);
        var content = new StringContent(json, Encoding.UTF8, "application/json");

        var response = await client.PostAsync("https://api.deepai.org/api/colorizer", content);
        var result = await response.Content.ReadAsStringAsync();
        Console.WriteLine(result);
    }
}


// Example posting a local image file:
using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;

class Program
{
    static async Task Main()
    {
        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");

        using var form = new MultipartFormDataContent();

        var imageStream = File.OpenRead("/path/to/your/file.jpg");
        form.Add(new StreamContent(imageStream), "image", "file.jpg");

        var response = await client.PostAsync("https://api.deepai.org/api/colorizer", form);
        var result = await response.Content.ReadAsStringAsync();
        Console.WriteLine(result);
    }
}

이미지 색상 입히기 Swift 예시

// Example posting a image URL:
import Foundation

let url = URL(string: "https://api.deepai.org/api/colorizer")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")

let payload: [String: Any] = [
    "image": "YOUR_IMAGE_URL",
]

request.httpBody = try? JSONSerialization.data(withJSONObject: payload)

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

// Keep the program running for async request
RunLoop.main.run()


// Example posting a local image file:
import Foundation

let url = URL(string: "https://api.deepai.org/api/colorizer")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")

let boundary = UUID().uuidString
request.setValue("multipart/form-data; boundary=\(boundary)", forHTTPHeaderField: "Content-Type")

var body = Data()

let imageData = try! Data(contentsOf: URL(fileURLWithPath: "/path/to/your/file.jpg"))
body.append("--\(boundary)\r\n".data(using: .utf8)!)
body.append("Content-Disposition: form-data; name=\"image\"; filename=\"file.jpg\"\r\n".data(using: .utf8)!)
body.append("Content-Type: application/octet-stream\r\n\r\n".data(using: .utf8)!)
body.append(imageData)
body.append("\r\n".data(using: .utf8)!)

body.append("--\(boundary)--\r\n".data(using: .utf8)!)
request.httpBody = body

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

RunLoop.main.run()

이미지 색상 입히기 Kotlin 예시

// Example posting a image URL:
import java.net.URI
import java.net.http.HttpClient
import java.net.http.HttpRequest
import java.net.http.HttpResponse

fun main() {
    val client = HttpClient.newHttpClient()

    val json = """{
        "image": "YOUR_IMAGE_URL"
    }"""

    val request = HttpRequest.newBuilder()
        .uri(URI.create("https://api.deepai.org/api/colorizer"))
        .header("Content-Type", "application/json")
        .header("api-key", "YOUR_API_KEY")
        .POST(HttpRequest.BodyPublishers.ofString(json))
        .build()

    val response = client.send(request, HttpResponse.BodyHandlers.ofString())
    println(response.body())
}


// Example posting a local image file:
// Add to build.gradle.kts: implementation("com.squareup.okhttp3:okhttp:4.12.0")
import okhttp3.*
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.RequestBody.Companion.asRequestBody
import java.io.File

fun main() {
    val client = OkHttpClient()

    val requestBody = MultipartBody.Builder()
        .setType(MultipartBody.FORM)
        .addFormDataPart("image", "file.jpg", File("/path/to/your/file.jpg").asRequestBody("application/octet-stream".toMediaType()))
        .build()

    val request = Request.Builder()
        .url("https://api.deepai.org/api/colorizer")
        .addHeader("api-key", "YOUR_API_KEY")
        .post(requestBody)
        .build()

    client.newCall(request).execute().use { response ->
        println(response.body?.string())
    }
}

이미지 색상 입히기 Rust 예시

// Example posting a image URL:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
// serde_json = "1"

use reqwest::header::HeaderMap;
use std::collections::HashMap;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = reqwest::Client::new();

    let mut headers = HeaderMap::new();
    headers.insert("api-key", "YOUR_API_KEY".parse()?);

    let mut payload = HashMap::new();
    payload.insert("image", "YOUR_IMAGE_URL");

    let response = client
        .post("https://api.deepai.org/api/colorizer")
        .headers(headers)
        .json(&payload)
        .send()
        .await?;

    println!("{}", response.text().await?);
    Ok(())
}


// Example posting a local image file:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }

use reqwest::multipart;
use std::fs;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = reqwest::Client::new();

    let form = multipart::Form::new()
        .file("image", "/path/to/your/file.jpg")?;

    let response = client
        .post("https://api.deepai.org/api/colorizer")
        .header("api-key", "YOUR_API_KEY")
        .multipart(form)
        .send()
        .await?;

    println!("{}", response.text().await?);
    Ok(())
}

이미지 색상 입히기 TypeScript 예시

// Example posting a image URL:
interface ApiResponse {
    // Define your response type here
    [key: string]: unknown;
}

async function callApi(): Promise<ApiResponse> {
    const response = await fetch('https://api.deepai.org/api/colorizer', {
        method: 'POST',
        headers: {
            'Content-Type': 'application/json',
            'api-key': 'YOUR_API_KEY'
        },
        body: JSON.stringify({
            image: 'YOUR_IMAGE_URL',
        })
    });

    const data: ApiResponse = await response.json();
    console.log(data);
    return data;
}

callApi();


// Example posting a local image file (Node.js with form-data package):
// npm install form-data
import * as fs from 'fs';
import FormData from 'form-data';

interface ApiResponse {
    [key: string]: unknown;
}

async function uploadFile(): Promise<ApiResponse> {
    const formData = new FormData();
    formData.append('image', fs.createReadStream('/path/to/your/file.jpg'));

    const response = await fetch('https://api.deepai.org/api/colorizer', {
        method: 'POST',
        headers: {
            ...formData.getHeaders(),
            'api-key': 'YOUR_API_KEY'
        },
        body: formData as unknown as BodyInit
    });

    const data: ApiResponse = await response.json();
    console.log(data);
    return data;
}

uploadFile();

이미지 색상 입히기 Dart 예시

// Example posting a image URL:
// Add to pubspec.yaml: http: ^1.1.0

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

Future<void> main() async {
  final response = await http.post(
    Uri.parse('https://api.deepai.org/api/colorizer'),
    headers: {
      'Content-Type': 'application/json',
      'api-key': 'YOUR_API_KEY',
    },
    body: jsonEncode({
      'image': 'YOUR_IMAGE_URL',
    }),
  );

  print(response.body);
}


// Example posting a local image file:
// Add to pubspec.yaml: http: ^1.1.0

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

Future<void> main() async {
  var request = http.MultipartRequest(
    'POST',
    Uri.parse('https://api.deepai.org/api/colorizer'),
  );

  request.headers['api-key'] = 'YOUR_API_KEY';

  request.files.add(
    await http.MultipartFile.fromPath('image', '/path/to/your/file.jpg'),
  );

  var response = await request.send();
  var responseBody = await response.stream.bytesToString();
  print(responseBody);
}

이미지 색상 입히기 PowerShell 예시

# Example posting a image URL:

$r = Invoke-WebRequest `
    -Uri https://api.deepai.org/api/colorizer `
    -Method Post `
    -Form @{
         image='YOUR_IMAGE_URL' 
    } `
    -Headers @{
        'api-key'='YOUR_API_KEY' 
    } 
$r.Content

# Example posting a local image file:

$r = Invoke-WebRequest `
    -Uri https://api.deepai.org/api/colorizer `
    -Method Post `
    -Form @{
        image=Get-Item -Path '/path/to/your/file.jpg' 
    } `
    -Headers @{
        'api-key'='YOUR_API_KEY' 
    } 
$r.Content

초고해상도맨 위로 ↑

초고해상도 API는 머신 러닝을 활용해 사진의 내용과 고유한 특징을 잃지 않으면서 이미지를 선명하게 하고, 디테일을 살리며, 해상도를 높여 줘요. 안타깝게도 흐릿한 이미지는 흔히 볼 수 있으며, 전문가와 취미 사진가 모두에게 골칫거리예요. 초고해상도 기술은 머신 러닝 기법으로 눈 깜짝할 사이에 이미지의 해상도를 높여 줘요.

엔드포인트: POST https://api.deepai.org/api/torch-srgan

매개변수
매개변수유형필수기본값
image image

초고해상도 cURL 예시

# Example posting a image URL:

curl \
    -F 'image=YOUR_IMAGE_URL' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/torch-srgan 


# Example posting a local image file:

curl \
    -F 'image=@/path/to/your/file.jpg' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/torch-srgan 

초고해상도 Javascript 예시

// Example posting a image URL:
(async function() {
    const resp = await fetch('https://api.deepai.org/api/torch-srgan', {
        method: 'POST',
        headers: {
            'Content-Type': 'application/json',
            'api-key': 'YOUR_API_KEY'
        },
        body: JSON.stringify({
            image: "YOUR_IMAGE_URL",
        })
    });
    
    const data = await resp.json();
    console.log(data);
})()


// Example posting file picker input image (Browser only):
document.getElementById('yourFileInputId').addEventListener('change', async function() {
       const formData = new FormData();
       formData.append('image', this.files[0]);

       const resp = await fetch('https://api.deepai.org/api/torch-srgan', {
           method: 'POST',
           headers: {
               'api-key': 'YOUR_API_KEY'
           },
           body: formData
       });

       const data = await resp.json();
       console.log(data);
});

// Example posting a local image file (Node.js only):
const fs = require('fs');
(async function() {
       const formData = new FormData();
       const jpgFileStream = fs.createReadStream("/path/to/your/file.jpg");
       formData.append('image', jpgFileStream);

       const resp = await fetch('https://api.deepai.org/api/torch-srgan', {
           method: 'POST',
           headers: {
               'api-key': 'YOUR_API_KEY'
           },
           body: formData
       });

       const data = await resp.json();
       console.log(data);
});

초고해상도 Python 예시

# Example posting a image URL:

import requests
r = requests.post(
    "https://api.deepai.org/api/torch-srgan",
    data={
        'image': 'YOUR_IMAGE_URL',
    },
    headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())


# Example posting a local image file:

import requests
r = requests.post(
    "https://api.deepai.org/api/torch-srgan",
    files={
        'image': open('/path/to/your/file.jpg', 'rb'),
    },
    headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())

초고해상도 Ruby 예시

# Example posting a image URL:

require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/torch-srgan', timeout: 600,
    headers: {'api-key' => 'YOUR_API_KEY'},
    payload: {
        'image' => 'YOUR_IMAGE_URL',
    }
)
puts r


# Example posting a local image file:

require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/torch-srgan', timeout: 600,
    headers: {'api-key' => 'YOUR_API_KEY'},
    payload: {
        'image' => File.new('/path/to/your/file.jpg'),
    }
)
puts r

초고해상도 Php 예시

// Example posting a image URL:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)

use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;

$client = new Client();
$headers = [
    'api-key' => 'YOUR_API_KEY'
];
$options = [
    'multipart' => [
        [
            'name'     => 'image',
            'contents' => 'YOUR_IMAGE_URL'
        ],
    ]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/torch-srgan', $headers);
try {
    $res = $client->sendAsync($request, $options)->wait();
    echo $res->getBody();
} catch (Exception $e) {
    echo 'Error: ' . $e->getMessage();
}
?>


// Example posting a local image file:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)

use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;

$client = new Client();
$headers = [
    'api-key' => 'YOUR_API_KEY'
];
$options = [
    'multipart' => [
        [
            'name'     => 'image',
            'contents' => Utils::tryFopen('/path/to/your/file.jpg', 'r')
        ],
    ]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/torch-srgan', $headers);
try {
    $res = $client->sendAsync($request, $options)->wait();
    echo $res->getBody();
} catch (Exception $e) {
    echo 'Error: ' . $e->getMessage();
}
?>

초고해상도 Go 예시

// Example posting a image URL:
package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
)

func main() {
    url := "https://api.deepai.org/api/torch-srgan"
    payload := map[string]string{
        "image": "YOUR_IMAGE_URL",
    }
    jsonData, _ := json.Marshal(payload)

    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
    req.Header.Set("Content-Type", "application/json")
    req.Header.Set("api-key", "YOUR_API_KEY")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    fmt.Println(string(body))
}


// Example posting a local image file:
package main

import (
    "bytes"
    "fmt"
    "io"
    "mime/multipart"
    "net/http"
    "os"
)

func main() {
    url := "https://api.deepai.org/api/torch-srgan"

    var b bytes.Buffer
    w := multipart.NewWriter(&b)

    imageFile, _ := os.Open("/path/to/your/file.jpg")
    defer imageFile.Close()
    imageWriter, _ := w.CreateFormFile("image", "file.jpg")
    io.Copy(imageWriter, imageFile)

    if err := w.Close(); err != nil {
        panic(err)
    }

    req, _ := http.NewRequest("POST", url, &b)
    req.Header.Set("Content-Type", w.FormDataContentType())
    req.Header.Set("api-key", "YOUR_API_KEY")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    fmt.Println(string(body))
}

초고해상도 Java 예시

// Example posting a image URL:
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 {
        HttpClient client = HttpClient.newHttpClient();

        String json = "{" +
            "\"image\": \"YOUR_IMAGE_URL\"" +
            "}";

        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create("https://api.deepai.org/api/torch-srgan"))
            .header("Content-Type", "application/json")
            .header("api-key", "YOUR_API_KEY")
            .POST(HttpRequest.BodyPublishers.ofString(json))
            .build();

        HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
        System.out.println(response.body());
    }
}


// Example posting a local image file:
// Add to build.gradle: implementation 'com.squareup.okhttp3:okhttp:4.12.0'
import okhttp3.*;
import java.io.File;
import java.io.IOException;

public class Main {
    public static void main(String[] args) throws IOException {
        OkHttpClient client = new OkHttpClient();

        RequestBody requestBody = new MultipartBody.Builder()
            .setType(MultipartBody.FORM)
            .addFormDataPart("image", "file.jpg", RequestBody.create(new File("/path/to/your/file.jpg"), MediaType.parse("application/octet-stream")))
            .build();

        Request request = new Request.Builder()
            .url("https://api.deepai.org/api/torch-srgan")
            .addHeader("api-key", "YOUR_API_KEY")
            .post(requestBody)
            .build();

        try (Response response = client.newCall(request).execute()) {
            System.out.println(response.body().string());
        }
    }
}

초고해상도 C# 예시

// Example posting a image URL:
using System;
using System.Net.Http;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;

class Program
{
    static async Task Main()
    {
        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");

        var payload = new
        {
            image = "YOUR_IMAGE_URL",
        };

        var json = JsonSerializer.Serialize(payload);
        var content = new StringContent(json, Encoding.UTF8, "application/json");

        var response = await client.PostAsync("https://api.deepai.org/api/torch-srgan", content);
        var result = await response.Content.ReadAsStringAsync();
        Console.WriteLine(result);
    }
}


// Example posting a local image file:
using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;

class Program
{
    static async Task Main()
    {
        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");

        using var form = new MultipartFormDataContent();

        var imageStream = File.OpenRead("/path/to/your/file.jpg");
        form.Add(new StreamContent(imageStream), "image", "file.jpg");

        var response = await client.PostAsync("https://api.deepai.org/api/torch-srgan", form);
        var result = await response.Content.ReadAsStringAsync();
        Console.WriteLine(result);
    }
}

초고해상도 Swift 예시

// Example posting a image URL:
import Foundation

let url = URL(string: "https://api.deepai.org/api/torch-srgan")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")

let payload: [String: Any] = [
    "image": "YOUR_IMAGE_URL",
]

request.httpBody = try? JSONSerialization.data(withJSONObject: payload)

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

// Keep the program running for async request
RunLoop.main.run()


// Example posting a local image file:
import Foundation

let url = URL(string: "https://api.deepai.org/api/torch-srgan")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")

let boundary = UUID().uuidString
request.setValue("multipart/form-data; boundary=\(boundary)", forHTTPHeaderField: "Content-Type")

var body = Data()

let imageData = try! Data(contentsOf: URL(fileURLWithPath: "/path/to/your/file.jpg"))
body.append("--\(boundary)\r\n".data(using: .utf8)!)
body.append("Content-Disposition: form-data; name=\"image\"; filename=\"file.jpg\"\r\n".data(using: .utf8)!)
body.append("Content-Type: application/octet-stream\r\n\r\n".data(using: .utf8)!)
body.append(imageData)
body.append("\r\n".data(using: .utf8)!)

body.append("--\(boundary)--\r\n".data(using: .utf8)!)
request.httpBody = body

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

RunLoop.main.run()

초고해상도 Kotlin 예시

// Example posting a image URL:
import java.net.URI
import java.net.http.HttpClient
import java.net.http.HttpRequest
import java.net.http.HttpResponse

fun main() {
    val client = HttpClient.newHttpClient()

    val json = """{
        "image": "YOUR_IMAGE_URL"
    }"""

    val request = HttpRequest.newBuilder()
        .uri(URI.create("https://api.deepai.org/api/torch-srgan"))
        .header("Content-Type", "application/json")
        .header("api-key", "YOUR_API_KEY")
        .POST(HttpRequest.BodyPublishers.ofString(json))
        .build()

    val response = client.send(request, HttpResponse.BodyHandlers.ofString())
    println(response.body())
}


// Example posting a local image file:
// Add to build.gradle.kts: implementation("com.squareup.okhttp3:okhttp:4.12.0")
import okhttp3.*
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.RequestBody.Companion.asRequestBody
import java.io.File

fun main() {
    val client = OkHttpClient()

    val requestBody = MultipartBody.Builder()
        .setType(MultipartBody.FORM)
        .addFormDataPart("image", "file.jpg", File("/path/to/your/file.jpg").asRequestBody("application/octet-stream".toMediaType()))
        .build()

    val request = Request.Builder()
        .url("https://api.deepai.org/api/torch-srgan")
        .addHeader("api-key", "YOUR_API_KEY")
        .post(requestBody)
        .build()

    client.newCall(request).execute().use { response ->
        println(response.body?.string())
    }
}

초고해상도 Rust 예시

// Example posting a image URL:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
// serde_json = "1"

use reqwest::header::HeaderMap;
use std::collections::HashMap;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = reqwest::Client::new();

    let mut headers = HeaderMap::new();
    headers.insert("api-key", "YOUR_API_KEY".parse()?);

    let mut payload = HashMap::new();
    payload.insert("image", "YOUR_IMAGE_URL");

    let response = client
        .post("https://api.deepai.org/api/torch-srgan")
        .headers(headers)
        .json(&payload)
        .send()
        .await?;

    println!("{}", response.text().await?);
    Ok(())
}


// Example posting a local image file:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }

use reqwest::multipart;
use std::fs;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = reqwest::Client::new();

    let form = multipart::Form::new()
        .file("image", "/path/to/your/file.jpg")?;

    let response = client
        .post("https://api.deepai.org/api/torch-srgan")
        .header("api-key", "YOUR_API_KEY")
        .multipart(form)
        .send()
        .await?;

    println!("{}", response.text().await?);
    Ok(())
}

초고해상도 TypeScript 예시

// Example posting a image URL:
interface ApiResponse {
    // Define your response type here
    [key: string]: unknown;
}

async function callApi(): Promise<ApiResponse> {
    const response = await fetch('https://api.deepai.org/api/torch-srgan', {
        method: 'POST',
        headers: {
            'Content-Type': 'application/json',
            'api-key': 'YOUR_API_KEY'
        },
        body: JSON.stringify({
            image: 'YOUR_IMAGE_URL',
        })
    });

    const data: ApiResponse = await response.json();
    console.log(data);
    return data;
}

callApi();


// Example posting a local image file (Node.js with form-data package):
// npm install form-data
import * as fs from 'fs';
import FormData from 'form-data';

interface ApiResponse {
    [key: string]: unknown;
}

async function uploadFile(): Promise<ApiResponse> {
    const formData = new FormData();
    formData.append('image', fs.createReadStream('/path/to/your/file.jpg'));

    const response = await fetch('https://api.deepai.org/api/torch-srgan', {
        method: 'POST',
        headers: {
            ...formData.getHeaders(),
            'api-key': 'YOUR_API_KEY'
        },
        body: formData as unknown as BodyInit
    });

    const data: ApiResponse = await response.json();
    console.log(data);
    return data;
}

uploadFile();

초고해상도 Dart 예시

// Example posting a image URL:
// Add to pubspec.yaml: http: ^1.1.0

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

Future<void> main() async {
  final response = await http.post(
    Uri.parse('https://api.deepai.org/api/torch-srgan'),
    headers: {
      'Content-Type': 'application/json',
      'api-key': 'YOUR_API_KEY',
    },
    body: jsonEncode({
      'image': 'YOUR_IMAGE_URL',
    }),
  );

  print(response.body);
}


// Example posting a local image file:
// Add to pubspec.yaml: http: ^1.1.0

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

Future<void> main() async {
  var request = http.MultipartRequest(
    'POST',
    Uri.parse('https://api.deepai.org/api/torch-srgan'),
  );

  request.headers['api-key'] = 'YOUR_API_KEY';

  request.files.add(
    await http.MultipartFile.fromPath('image', '/path/to/your/file.jpg'),
  );

  var response = await request.send();
  var responseBody = await response.stream.bytesToString();
  print(responseBody);
}

초고해상도 PowerShell 예시

# Example posting a image URL:

$r = Invoke-WebRequest `
    -Uri https://api.deepai.org/api/torch-srgan `
    -Method Post `
    -Form @{
         image='YOUR_IMAGE_URL' 
    } `
    -Headers @{
        'api-key'='YOUR_API_KEY' 
    } 
$r.Content

# Example posting a local image file:

$r = Invoke-WebRequest `
    -Uri https://api.deepai.org/api/torch-srgan `
    -Method Post `
    -Form @{
        image=Get-Item -Path '/path/to/your/file.jpg' 
    } `
    -Headers @{
        'api-key'='YOUR_API_KEY' 
    } 
$r.Content

Waifu2x맨 위로 ↑

Waifu2x는 이미지의 노이즈를 줄이면서 해상도를 높이는 알고리즘이에요. 이름은 주로 학습에 사용된 ‘와이푸’라고 불리는 애니메이션 스타일 그림에서 유래했어요. 학습 데이터의 대부분이 와이푸 이미지였지만, 이 Waifu2x API는 사진이나 다른 유형의 이미지에서도 우수한 성능을 발휘해요. Waifu2x로 노이즈를 줄이면서 이미지 크기를 두 배로 키울 수 있어요.

엔드포인트: POST https://api.deepai.org/api/waifu2x

매개변수
매개변수유형필수기본값
image image

Waifu2x cURL 예시

# Example posting a image URL:

curl \
    -F 'image=YOUR_IMAGE_URL' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/waifu2x 


# Example posting a local image file:

curl \
    -F 'image=@/path/to/your/file.jpg' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/waifu2x 

Waifu2x Javascript 예시

// Example posting a image URL:
(async function() {
    const resp = await fetch('https://api.deepai.org/api/waifu2x', {
        method: 'POST',
        headers: {
            'Content-Type': 'application/json',
            'api-key': 'YOUR_API_KEY'
        },
        body: JSON.stringify({
            image: "YOUR_IMAGE_URL",
        })
    });
    
    const data = await resp.json();
    console.log(data);
})()


// Example posting file picker input image (Browser only):
document.getElementById('yourFileInputId').addEventListener('change', async function() {
       const formData = new FormData();
       formData.append('image', this.files[0]);

       const resp = await fetch('https://api.deepai.org/api/waifu2x', {
           method: 'POST',
           headers: {
               'api-key': 'YOUR_API_KEY'
           },
           body: formData
       });

       const data = await resp.json();
       console.log(data);
});

// Example posting a local image file (Node.js only):
const fs = require('fs');
(async function() {
       const formData = new FormData();
       const jpgFileStream = fs.createReadStream("/path/to/your/file.jpg");
       formData.append('image', jpgFileStream);

       const resp = await fetch('https://api.deepai.org/api/waifu2x', {
           method: 'POST',
           headers: {
               'api-key': 'YOUR_API_KEY'
           },
           body: formData
       });

       const data = await resp.json();
       console.log(data);
});

Waifu2x Python 예시

# Example posting a image URL:

import requests
r = requests.post(
    "https://api.deepai.org/api/waifu2x",
    data={
        'image': 'YOUR_IMAGE_URL',
    },
    headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())


# Example posting a local image file:

import requests
r = requests.post(
    "https://api.deepai.org/api/waifu2x",
    files={
        'image': open('/path/to/your/file.jpg', 'rb'),
    },
    headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())

Waifu2x Ruby 예시

# Example posting a image URL:

require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/waifu2x', timeout: 600,
    headers: {'api-key' => 'YOUR_API_KEY'},
    payload: {
        'image' => 'YOUR_IMAGE_URL',
    }
)
puts r


# Example posting a local image file:

require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/waifu2x', timeout: 600,
    headers: {'api-key' => 'YOUR_API_KEY'},
    payload: {
        'image' => File.new('/path/to/your/file.jpg'),
    }
)
puts r

Waifu2x Php 예시

// Example posting a image URL:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)

use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;

$client = new Client();
$headers = [
    'api-key' => 'YOUR_API_KEY'
];
$options = [
    'multipart' => [
        [
            'name'     => 'image',
            'contents' => 'YOUR_IMAGE_URL'
        ],
    ]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/waifu2x', $headers);
try {
    $res = $client->sendAsync($request, $options)->wait();
    echo $res->getBody();
} catch (Exception $e) {
    echo 'Error: ' . $e->getMessage();
}
?>


// Example posting a local image file:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)

use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;

$client = new Client();
$headers = [
    'api-key' => 'YOUR_API_KEY'
];
$options = [
    'multipart' => [
        [
            'name'     => 'image',
            'contents' => Utils::tryFopen('/path/to/your/file.jpg', 'r')
        ],
    ]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/waifu2x', $headers);
try {
    $res = $client->sendAsync($request, $options)->wait();
    echo $res->getBody();
} catch (Exception $e) {
    echo 'Error: ' . $e->getMessage();
}
?>

Waifu2x Go 예시

// Example posting a image URL:
package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
)

func main() {
    url := "https://api.deepai.org/api/waifu2x"
    payload := map[string]string{
        "image": "YOUR_IMAGE_URL",
    }
    jsonData, _ := json.Marshal(payload)

    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
    req.Header.Set("Content-Type", "application/json")
    req.Header.Set("api-key", "YOUR_API_KEY")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    fmt.Println(string(body))
}


// Example posting a local image file:
package main

import (
    "bytes"
    "fmt"
    "io"
    "mime/multipart"
    "net/http"
    "os"
)

func main() {
    url := "https://api.deepai.org/api/waifu2x"

    var b bytes.Buffer
    w := multipart.NewWriter(&b)

    imageFile, _ := os.Open("/path/to/your/file.jpg")
    defer imageFile.Close()
    imageWriter, _ := w.CreateFormFile("image", "file.jpg")
    io.Copy(imageWriter, imageFile)

    if err := w.Close(); err != nil {
        panic(err)
    }

    req, _ := http.NewRequest("POST", url, &b)
    req.Header.Set("Content-Type", w.FormDataContentType())
    req.Header.Set("api-key", "YOUR_API_KEY")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    fmt.Println(string(body))
}

Waifu2x Java 예시

// Example posting a image URL:
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 {
        HttpClient client = HttpClient.newHttpClient();

        String json = "{" +
            "\"image\": \"YOUR_IMAGE_URL\"" +
            "}";

        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create("https://api.deepai.org/api/waifu2x"))
            .header("Content-Type", "application/json")
            .header("api-key", "YOUR_API_KEY")
            .POST(HttpRequest.BodyPublishers.ofString(json))
            .build();

        HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
        System.out.println(response.body());
    }
}


// Example posting a local image file:
// Add to build.gradle: implementation 'com.squareup.okhttp3:okhttp:4.12.0'
import okhttp3.*;
import java.io.File;
import java.io.IOException;

public class Main {
    public static void main(String[] args) throws IOException {
        OkHttpClient client = new OkHttpClient();

        RequestBody requestBody = new MultipartBody.Builder()
            .setType(MultipartBody.FORM)
            .addFormDataPart("image", "file.jpg", RequestBody.create(new File("/path/to/your/file.jpg"), MediaType.parse("application/octet-stream")))
            .build();

        Request request = new Request.Builder()
            .url("https://api.deepai.org/api/waifu2x")
            .addHeader("api-key", "YOUR_API_KEY")
            .post(requestBody)
            .build();

        try (Response response = client.newCall(request).execute()) {
            System.out.println(response.body().string());
        }
    }
}

Waifu2x C# 예시

// Example posting a image URL:
using System;
using System.Net.Http;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;

class Program
{
    static async Task Main()
    {
        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");

        var payload = new
        {
            image = "YOUR_IMAGE_URL",
        };

        var json = JsonSerializer.Serialize(payload);
        var content = new StringContent(json, Encoding.UTF8, "application/json");

        var response = await client.PostAsync("https://api.deepai.org/api/waifu2x", content);
        var result = await response.Content.ReadAsStringAsync();
        Console.WriteLine(result);
    }
}


// Example posting a local image file:
using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;

class Program
{
    static async Task Main()
    {
        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");

        using var form = new MultipartFormDataContent();

        var imageStream = File.OpenRead("/path/to/your/file.jpg");
        form.Add(new StreamContent(imageStream), "image", "file.jpg");

        var response = await client.PostAsync("https://api.deepai.org/api/waifu2x", form);
        var result = await response.Content.ReadAsStringAsync();
        Console.WriteLine(result);
    }
}

Waifu2x Swift 예시

// Example posting a image URL:
import Foundation

let url = URL(string: "https://api.deepai.org/api/waifu2x")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")

let payload: [String: Any] = [
    "image": "YOUR_IMAGE_URL",
]

request.httpBody = try? JSONSerialization.data(withJSONObject: payload)

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

// Keep the program running for async request
RunLoop.main.run()


// Example posting a local image file:
import Foundation

let url = URL(string: "https://api.deepai.org/api/waifu2x")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")

let boundary = UUID().uuidString
request.setValue("multipart/form-data; boundary=\(boundary)", forHTTPHeaderField: "Content-Type")

var body = Data()

let imageData = try! Data(contentsOf: URL(fileURLWithPath: "/path/to/your/file.jpg"))
body.append("--\(boundary)\r\n".data(using: .utf8)!)
body.append("Content-Disposition: form-data; name=\"image\"; filename=\"file.jpg\"\r\n".data(using: .utf8)!)
body.append("Content-Type: application/octet-stream\r\n\r\n".data(using: .utf8)!)
body.append(imageData)
body.append("\r\n".data(using: .utf8)!)

body.append("--\(boundary)--\r\n".data(using: .utf8)!)
request.httpBody = body

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

RunLoop.main.run()

Waifu2x Kotlin 예시

// Example posting a image URL:
import java.net.URI
import java.net.http.HttpClient
import java.net.http.HttpRequest
import java.net.http.HttpResponse

fun main() {
    val client = HttpClient.newHttpClient()

    val json = """{
        "image": "YOUR_IMAGE_URL"
    }"""

    val request = HttpRequest.newBuilder()
        .uri(URI.create("https://api.deepai.org/api/waifu2x"))
        .header("Content-Type", "application/json")
        .header("api-key", "YOUR_API_KEY")
        .POST(HttpRequest.BodyPublishers.ofString(json))
        .build()

    val response = client.send(request, HttpResponse.BodyHandlers.ofString())
    println(response.body())
}


// Example posting a local image file:
// Add to build.gradle.kts: implementation("com.squareup.okhttp3:okhttp:4.12.0")
import okhttp3.*
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.RequestBody.Companion.asRequestBody
import java.io.File

fun main() {
    val client = OkHttpClient()

    val requestBody = MultipartBody.Builder()
        .setType(MultipartBody.FORM)
        .addFormDataPart("image", "file.jpg", File("/path/to/your/file.jpg").asRequestBody("application/octet-stream".toMediaType()))
        .build()

    val request = Request.Builder()
        .url("https://api.deepai.org/api/waifu2x")
        .addHeader("api-key", "YOUR_API_KEY")
        .post(requestBody)
        .build()

    client.newCall(request).execute().use { response ->
        println(response.body?.string())
    }
}

Waifu2x Rust 예시

// Example posting a image URL:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
// serde_json = "1"

use reqwest::header::HeaderMap;
use std::collections::HashMap;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = reqwest::Client::new();

    let mut headers = HeaderMap::new();
    headers.insert("api-key", "YOUR_API_KEY".parse()?);

    let mut payload = HashMap::new();
    payload.insert("image", "YOUR_IMAGE_URL");

    let response = client
        .post("https://api.deepai.org/api/waifu2x")
        .headers(headers)
        .json(&payload)
        .send()
        .await?;

    println!("{}", response.text().await?);
    Ok(())
}


// Example posting a local image file:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }

use reqwest::multipart;
use std::fs;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = reqwest::Client::new();

    let form = multipart::Form::new()
        .file("image", "/path/to/your/file.jpg")?;

    let response = client
        .post("https://api.deepai.org/api/waifu2x")
        .header("api-key", "YOUR_API_KEY")
        .multipart(form)
        .send()
        .await?;

    println!("{}", response.text().await?);
    Ok(())
}

Waifu2x TypeScript 예시

// Example posting a image URL:
interface ApiResponse {
    // Define your response type here
    [key: string]: unknown;
}

async function callApi(): Promise<ApiResponse> {
    const response = await fetch('https://api.deepai.org/api/waifu2x', {
        method: 'POST',
        headers: {
            'Content-Type': 'application/json',
            'api-key': 'YOUR_API_KEY'
        },
        body: JSON.stringify({
            image: 'YOUR_IMAGE_URL',
        })
    });

    const data: ApiResponse = await response.json();
    console.log(data);
    return data;
}

callApi();


// Example posting a local image file (Node.js with form-data package):
// npm install form-data
import * as fs from 'fs';
import FormData from 'form-data';

interface ApiResponse {
    [key: string]: unknown;
}

async function uploadFile(): Promise<ApiResponse> {
    const formData = new FormData();
    formData.append('image', fs.createReadStream('/path/to/your/file.jpg'));

    const response = await fetch('https://api.deepai.org/api/waifu2x', {
        method: 'POST',
        headers: {
            ...formData.getHeaders(),
            'api-key': 'YOUR_API_KEY'
        },
        body: formData as unknown as BodyInit
    });

    const data: ApiResponse = await response.json();
    console.log(data);
    return data;
}

uploadFile();

Waifu2x Dart 예시

// Example posting a image URL:
// Add to pubspec.yaml: http: ^1.1.0

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

Future<void> main() async {
  final response = await http.post(
    Uri.parse('https://api.deepai.org/api/waifu2x'),
    headers: {
      'Content-Type': 'application/json',
      'api-key': 'YOUR_API_KEY',
    },
    body: jsonEncode({
      'image': 'YOUR_IMAGE_URL',
    }),
  );

  print(response.body);
}


// Example posting a local image file:
// Add to pubspec.yaml: http: ^1.1.0

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

Future<void> main() async {
  var request = http.MultipartRequest(
    'POST',
    Uri.parse('https://api.deepai.org/api/waifu2x'),
  );

  request.headers['api-key'] = 'YOUR_API_KEY';

  request.files.add(
    await http.MultipartFile.fromPath('image', '/path/to/your/file.jpg'),
  );

  var response = await request.send();
  var responseBody = await response.stream.bytesToString();
  print(responseBody);
}

Waifu2x PowerShell 예시

# Example posting a image URL:

$r = Invoke-WebRequest `
    -Uri https://api.deepai.org/api/waifu2x `
    -Method Post `
    -Form @{
         image='YOUR_IMAGE_URL' 
    } `
    -Headers @{
        'api-key'='YOUR_API_KEY' 
    } 
$r.Content

# Example posting a local image file:

$r = Invoke-WebRequest `
    -Uri https://api.deepai.org/api/waifu2x `
    -Method Post `
    -Form @{
        image=Get-Item -Path '/path/to/your/file.jpg' 
    } `
    -Headers @{
        'api-key'='YOUR_API_KEY' 
    } 
$r.Content

크리에이티브 업스케일맨 위로 ↑

엔드포인트: POST https://api.deepai.org/api/creative-upscale

매개변수
매개변수유형필수기본값
image image

크리에이티브 업스케일 cURL 예시

# Example posting a image URL:

curl \
    -F 'image=YOUR_IMAGE_URL' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/creative-upscale 


# Example posting a local image file:

curl \
    -F 'image=@/path/to/your/file.jpg' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/creative-upscale 

크리에이티브 업스케일 Javascript 예시

// Example posting a image URL:
(async function() {
    const resp = await fetch('https://api.deepai.org/api/creative-upscale', {
        method: 'POST',
        headers: {
            'Content-Type': 'application/json',
            'api-key': 'YOUR_API_KEY'
        },
        body: JSON.stringify({
            image: "YOUR_IMAGE_URL",
        })
    });
    
    const data = await resp.json();
    console.log(data);
})()


// Example posting file picker input image (Browser only):
document.getElementById('yourFileInputId').addEventListener('change', async function() {
       const formData = new FormData();
       formData.append('image', this.files[0]);

       const resp = await fetch('https://api.deepai.org/api/creative-upscale', {
           method: 'POST',
           headers: {
               'api-key': 'YOUR_API_KEY'
           },
           body: formData
       });

       const data = await resp.json();
       console.log(data);
});

// Example posting a local image file (Node.js only):
const fs = require('fs');
(async function() {
       const formData = new FormData();
       const jpgFileStream = fs.createReadStream("/path/to/your/file.jpg");
       formData.append('image', jpgFileStream);

       const resp = await fetch('https://api.deepai.org/api/creative-upscale', {
           method: 'POST',
           headers: {
               'api-key': 'YOUR_API_KEY'
           },
           body: formData
       });

       const data = await resp.json();
       console.log(data);
});

크리에이티브 업스케일 Python 예시

# Example posting a image URL:

import requests
r = requests.post(
    "https://api.deepai.org/api/creative-upscale",
    data={
        'image': 'YOUR_IMAGE_URL',
    },
    headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())


# Example posting a local image file:

import requests
r = requests.post(
    "https://api.deepai.org/api/creative-upscale",
    files={
        'image': open('/path/to/your/file.jpg', 'rb'),
    },
    headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())

크리에이티브 업스케일 Ruby 예시

# Example posting a image URL:

require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/creative-upscale', timeout: 600,
    headers: {'api-key' => 'YOUR_API_KEY'},
    payload: {
        'image' => 'YOUR_IMAGE_URL',
    }
)
puts r


# Example posting a local image file:

require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/creative-upscale', timeout: 600,
    headers: {'api-key' => 'YOUR_API_KEY'},
    payload: {
        'image' => File.new('/path/to/your/file.jpg'),
    }
)
puts r

크리에이티브 업스케일 Php 예시

// Example posting a image URL:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)

use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;

$client = new Client();
$headers = [
    'api-key' => 'YOUR_API_KEY'
];
$options = [
    'multipart' => [
        [
            'name'     => 'image',
            'contents' => 'YOUR_IMAGE_URL'
        ],
    ]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/creative-upscale', $headers);
try {
    $res = $client->sendAsync($request, $options)->wait();
    echo $res->getBody();
} catch (Exception $e) {
    echo 'Error: ' . $e->getMessage();
}
?>


// Example posting a local image file:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)

use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;

$client = new Client();
$headers = [
    'api-key' => 'YOUR_API_KEY'
];
$options = [
    'multipart' => [
        [
            'name'     => 'image',
            'contents' => Utils::tryFopen('/path/to/your/file.jpg', 'r')
        ],
    ]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/creative-upscale', $headers);
try {
    $res = $client->sendAsync($request, $options)->wait();
    echo $res->getBody();
} catch (Exception $e) {
    echo 'Error: ' . $e->getMessage();
}
?>

크리에이티브 업스케일 Go 예시

// Example posting a image URL:
package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
)

func main() {
    url := "https://api.deepai.org/api/creative-upscale"
    payload := map[string]string{
        "image": "YOUR_IMAGE_URL",
    }
    jsonData, _ := json.Marshal(payload)

    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
    req.Header.Set("Content-Type", "application/json")
    req.Header.Set("api-key", "YOUR_API_KEY")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    fmt.Println(string(body))
}


// Example posting a local image file:
package main

import (
    "bytes"
    "fmt"
    "io"
    "mime/multipart"
    "net/http"
    "os"
)

func main() {
    url := "https://api.deepai.org/api/creative-upscale"

    var b bytes.Buffer
    w := multipart.NewWriter(&b)

    imageFile, _ := os.Open("/path/to/your/file.jpg")
    defer imageFile.Close()
    imageWriter, _ := w.CreateFormFile("image", "file.jpg")
    io.Copy(imageWriter, imageFile)

    if err := w.Close(); err != nil {
        panic(err)
    }

    req, _ := http.NewRequest("POST", url, &b)
    req.Header.Set("Content-Type", w.FormDataContentType())
    req.Header.Set("api-key", "YOUR_API_KEY")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    fmt.Println(string(body))
}

크리에이티브 업스케일 Java 예시

// Example posting a image URL:
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 {
        HttpClient client = HttpClient.newHttpClient();

        String json = "{" +
            "\"image\": \"YOUR_IMAGE_URL\"" +
            "}";

        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create("https://api.deepai.org/api/creative-upscale"))
            .header("Content-Type", "application/json")
            .header("api-key", "YOUR_API_KEY")
            .POST(HttpRequest.BodyPublishers.ofString(json))
            .build();

        HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
        System.out.println(response.body());
    }
}


// Example posting a local image file:
// Add to build.gradle: implementation 'com.squareup.okhttp3:okhttp:4.12.0'
import okhttp3.*;
import java.io.File;
import java.io.IOException;

public class Main {
    public static void main(String[] args) throws IOException {
        OkHttpClient client = new OkHttpClient();

        RequestBody requestBody = new MultipartBody.Builder()
            .setType(MultipartBody.FORM)
            .addFormDataPart("image", "file.jpg", RequestBody.create(new File("/path/to/your/file.jpg"), MediaType.parse("application/octet-stream")))
            .build();

        Request request = new Request.Builder()
            .url("https://api.deepai.org/api/creative-upscale")
            .addHeader("api-key", "YOUR_API_KEY")
            .post(requestBody)
            .build();

        try (Response response = client.newCall(request).execute()) {
            System.out.println(response.body().string());
        }
    }
}

크리에이티브 업스케일 C# 예시

// Example posting a image URL:
using System;
using System.Net.Http;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;

class Program
{
    static async Task Main()
    {
        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");

        var payload = new
        {
            image = "YOUR_IMAGE_URL",
        };

        var json = JsonSerializer.Serialize(payload);
        var content = new StringContent(json, Encoding.UTF8, "application/json");

        var response = await client.PostAsync("https://api.deepai.org/api/creative-upscale", content);
        var result = await response.Content.ReadAsStringAsync();
        Console.WriteLine(result);
    }
}


// Example posting a local image file:
using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;

class Program
{
    static async Task Main()
    {
        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");

        using var form = new MultipartFormDataContent();

        var imageStream = File.OpenRead("/path/to/your/file.jpg");
        form.Add(new StreamContent(imageStream), "image", "file.jpg");

        var response = await client.PostAsync("https://api.deepai.org/api/creative-upscale", form);
        var result = await response.Content.ReadAsStringAsync();
        Console.WriteLine(result);
    }
}

크리에이티브 업스케일 Swift 예시

// Example posting a image URL:
import Foundation

let url = URL(string: "https://api.deepai.org/api/creative-upscale")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")

let payload: [String: Any] = [
    "image": "YOUR_IMAGE_URL",
]

request.httpBody = try? JSONSerialization.data(withJSONObject: payload)

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

// Keep the program running for async request
RunLoop.main.run()


// Example posting a local image file:
import Foundation

let url = URL(string: "https://api.deepai.org/api/creative-upscale")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")

let boundary = UUID().uuidString
request.setValue("multipart/form-data; boundary=\(boundary)", forHTTPHeaderField: "Content-Type")

var body = Data()

let imageData = try! Data(contentsOf: URL(fileURLWithPath: "/path/to/your/file.jpg"))
body.append("--\(boundary)\r\n".data(using: .utf8)!)
body.append("Content-Disposition: form-data; name=\"image\"; filename=\"file.jpg\"\r\n".data(using: .utf8)!)
body.append("Content-Type: application/octet-stream\r\n\r\n".data(using: .utf8)!)
body.append(imageData)
body.append("\r\n".data(using: .utf8)!)

body.append("--\(boundary)--\r\n".data(using: .utf8)!)
request.httpBody = body

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

RunLoop.main.run()

크리에이티브 업스케일 Kotlin 예시

// Example posting a image URL:
import java.net.URI
import java.net.http.HttpClient
import java.net.http.HttpRequest
import java.net.http.HttpResponse

fun main() {
    val client = HttpClient.newHttpClient()

    val json = """{
        "image": "YOUR_IMAGE_URL"
    }"""

    val request = HttpRequest.newBuilder()
        .uri(URI.create("https://api.deepai.org/api/creative-upscale"))
        .header("Content-Type", "application/json")
        .header("api-key", "YOUR_API_KEY")
        .POST(HttpRequest.BodyPublishers.ofString(json))
        .build()

    val response = client.send(request, HttpResponse.BodyHandlers.ofString())
    println(response.body())
}


// Example posting a local image file:
// Add to build.gradle.kts: implementation("com.squareup.okhttp3:okhttp:4.12.0")
import okhttp3.*
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.RequestBody.Companion.asRequestBody
import java.io.File

fun main() {
    val client = OkHttpClient()

    val requestBody = MultipartBody.Builder()
        .setType(MultipartBody.FORM)
        .addFormDataPart("image", "file.jpg", File("/path/to/your/file.jpg").asRequestBody("application/octet-stream".toMediaType()))
        .build()

    val request = Request.Builder()
        .url("https://api.deepai.org/api/creative-upscale")
        .addHeader("api-key", "YOUR_API_KEY")
        .post(requestBody)
        .build()

    client.newCall(request).execute().use { response ->
        println(response.body?.string())
    }
}

크리에이티브 업스케일 Rust 예시

// Example posting a image URL:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
// serde_json = "1"

use reqwest::header::HeaderMap;
use std::collections::HashMap;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = reqwest::Client::new();

    let mut headers = HeaderMap::new();
    headers.insert("api-key", "YOUR_API_KEY".parse()?);

    let mut payload = HashMap::new();
    payload.insert("image", "YOUR_IMAGE_URL");

    let response = client
        .post("https://api.deepai.org/api/creative-upscale")
        .headers(headers)
        .json(&payload)
        .send()
        .await?;

    println!("{}", response.text().await?);
    Ok(())
}


// Example posting a local image file:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }

use reqwest::multipart;
use std::fs;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = reqwest::Client::new();

    let form = multipart::Form::new()
        .file("image", "/path/to/your/file.jpg")?;

    let response = client
        .post("https://api.deepai.org/api/creative-upscale")
        .header("api-key", "YOUR_API_KEY")
        .multipart(form)
        .send()
        .await?;

    println!("{}", response.text().await?);
    Ok(())
}

크리에이티브 업스케일 TypeScript 예시

// Example posting a image URL:
interface ApiResponse {
    // Define your response type here
    [key: string]: unknown;
}

async function callApi(): Promise<ApiResponse> {
    const response = await fetch('https://api.deepai.org/api/creative-upscale', {
        method: 'POST',
        headers: {
            'Content-Type': 'application/json',
            'api-key': 'YOUR_API_KEY'
        },
        body: JSON.stringify({
            image: 'YOUR_IMAGE_URL',
        })
    });

    const data: ApiResponse = await response.json();
    console.log(data);
    return data;
}

callApi();


// Example posting a local image file (Node.js with form-data package):
// npm install form-data
import * as fs from 'fs';
import FormData from 'form-data';

interface ApiResponse {
    [key: string]: unknown;
}

async function uploadFile(): Promise<ApiResponse> {
    const formData = new FormData();
    formData.append('image', fs.createReadStream('/path/to/your/file.jpg'));

    const response = await fetch('https://api.deepai.org/api/creative-upscale', {
        method: 'POST',
        headers: {
            ...formData.getHeaders(),
            'api-key': 'YOUR_API_KEY'
        },
        body: formData as unknown as BodyInit
    });

    const data: ApiResponse = await response.json();
    console.log(data);
    return data;
}

uploadFile();

크리에이티브 업스케일 Dart 예시

// Example posting a image URL:
// Add to pubspec.yaml: http: ^1.1.0

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

Future<void> main() async {
  final response = await http.post(
    Uri.parse('https://api.deepai.org/api/creative-upscale'),
    headers: {
      'Content-Type': 'application/json',
      'api-key': 'YOUR_API_KEY',
    },
    body: jsonEncode({
      'image': 'YOUR_IMAGE_URL',
    }),
  );

  print(response.body);
}


// Example posting a local image file:
// Add to pubspec.yaml: http: ^1.1.0

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

Future<void> main() async {
  var request = http.MultipartRequest(
    'POST',
    Uri.parse('https://api.deepai.org/api/creative-upscale'),
  );

  request.headers['api-key'] = 'YOUR_API_KEY';

  request.files.add(
    await http.MultipartFile.fromPath('image', '/path/to/your/file.jpg'),
  );

  var response = await request.send();
  var responseBody = await response.stream.bytesToString();
  print(responseBody);
}

크리에이티브 업스케일 PowerShell 예시

# Example posting a image URL:

$r = Invoke-WebRequest `
    -Uri https://api.deepai.org/api/creative-upscale `
    -Method Post `
    -Form @{
         image='YOUR_IMAGE_URL' 
    } `
    -Headers @{
        'api-key'='YOUR_API_KEY' 
    } 
$r.Content

# Example posting a local image file:

$r = Invoke-WebRequest `
    -Uri https://api.deepai.org/api/creative-upscale `
    -Method Post `
    -Form @{
        image=Get-Item -Path '/path/to/your/file.jpg' 
    } `
    -Headers @{
        'api-key'='YOUR_API_KEY' 
    } 
$r.Content

이미지 교체맨 위로 ↑

AI를 활용해 이미지 속 객체를 교체하고 편집하세요.

엔드포인트: POST https://api.deepai.org/api/image-replace

매개변수
매개변수유형필수기본값
image image
mask image
text text

이미지 교체 cURL 예시

# Example posting a image URL:

curl \
    -F 'text=YOUR_TEXT_HERE' \
    -F 'mask=YOUR_IMAGE_URL' \
    -F 'image=YOUR_IMAGE_URL' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/image-replace 


# Example posting a local image file:

curl \
    -F 'text=YOUR_TEXT_HERE' \
    -F 'mask=@/path/to/your/file.jpg' \
    -F 'image=@/path/to/your/file.jpg' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/image-replace 


# Example directly sending a text string:

curl \
    -F 'text=YOUR_TEXT_HERE' \
    -F 'mask=YOUR_TEXT_HERE' \
    -F 'image=YOUR_TEXT_HERE' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/image-replace 

이미지 교체 Javascript 예시

// Example posting a image URL:
(async function() {
    const resp = await fetch('https://api.deepai.org/api/image-replace', {
        method: 'POST',
        headers: {
            'Content-Type': 'application/json',
            'api-key': 'YOUR_API_KEY'
        },
        body: JSON.stringify({
            text: "YOUR_TEXT_HERE",
            mask: "YOUR_IMAGE_URL",
            image: "YOUR_IMAGE_URL",
        })
    });
    
    const data = await resp.json();
    console.log(data);
})()


// Example posting file picker input image (Browser only):
document.getElementById('yourFileInputId').addEventListener('change', async function() {
       const formData = new FormData();
       formData.append('text', 'YOUR_TEXT_HERE');
       formData.append('mask', this.files[0]);
       formData.append('image', this.files[1]);

       const resp = await fetch('https://api.deepai.org/api/image-replace', {
           method: 'POST',
           headers: {
               'api-key': 'YOUR_API_KEY'
           },
           body: formData
       });

       const data = await resp.json();
       console.log(data);
});

// Example posting a local image file (Node.js only):
const fs = require('fs');
(async function() {
       const formData = new FormData();
       formData.append('text', 'YOUR_TEXT_HERE');
       const jpgFileStream = fs.createReadStream("/path/to/your/file.jpg");
       formData.append('mask', jpgFileStream);
       const jpgFileStream = fs.createReadStream("/path/to/your/file.jpg");
       formData.append('image', jpgFileStream);

       const resp = await fetch('https://api.deepai.org/api/image-replace', {
           method: 'POST',
           headers: {
               'api-key': 'YOUR_API_KEY'
           },
           body: formData
       });

       const data = await resp.json();
       console.log(data);
});

// Example directly sending a text string:
(async function() {
    const resp = await fetch('https://api.deepai.org/api/image-replace', {
        method: 'POST',
        headers: {
            'Content-Type': 'application/json',
            'api-key': 'YOUR_API_KEY'
        },
        body: JSON.stringify({
            text: "YOUR_TEXT_HERE",
            mask: "YOUR_TEXT_HERE",
            image: "YOUR_TEXT_HERE",
        })
    });
    
    const data = await resp.json();
    console.log(data);
})()

이미지 교체 Python 예시

# Example posting a image URL:

import requests
r = requests.post(
    "https://api.deepai.org/api/image-replace",
    data={
        'text': 'YOUR_TEXT_HERE',
        'mask': 'YOUR_IMAGE_URL',
        'image': 'YOUR_IMAGE_URL',
    },
    headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())


# Example posting a local image file:

import requests
r = requests.post(
    "https://api.deepai.org/api/image-replace",
    files={
        'mask': open('/path/to/your/file.jpg', 'rb'),
        'image': open('/path/to/your/file.jpg', 'rb'),
    },
    data={
        'text': 'YOUR_TEXT_HERE',
    },
    headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())


# Example directly sending a text string:

import requests
r = requests.post(
    "https://api.deepai.org/api/image-replace",
    data={
        'text': 'YOUR_TEXT_HERE',
        'mask': 'YOUR_TEXT_HERE',
        'image': 'YOUR_TEXT_HERE',
    },
    headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())

이미지 교체 Ruby 예시

# Example posting a image URL:

require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/image-replace', timeout: 600,
    headers: {'api-key' => 'YOUR_API_KEY'},
    payload: {
        'text' => 'YOUR_TEXT_HERE',
        'mask' => 'YOUR_IMAGE_URL',
        'image' => 'YOUR_IMAGE_URL',
    }
)
puts r


# Example posting a local image file:

require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/image-replace', timeout: 600,
    headers: {'api-key' => 'YOUR_API_KEY'},
    payload: {
        'text' => 'YOUR_TEXT_HERE',
        'mask' => File.new('/path/to/your/file.jpg'),
        'image' => File.new('/path/to/your/file.jpg'),
    }
)
puts r


# Example directly sending a text string:

require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/image-replace', timeout: 600,
    headers: {'api-key' => 'YOUR_API_KEY'},
    payload: {
        'text' => 'YOUR_TEXT_HERE',
        'mask' => 'YOUR_TEXT_HERE',
        'image' => 'YOUR_TEXT_HERE',
    }
)
puts r

이미지 교체 Php 예시

// Example posting a image URL:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)

use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;

$client = new Client();
$headers = [
    'api-key' => 'YOUR_API_KEY'
];
$options = [
    'multipart' => [
        [
            'name'     => 'text',
            'contents' => 'YOUR_TEXT_HERE'
        ],
        [
            'name'     => 'mask',
            'contents' => 'YOUR_IMAGE_URL'
        ],
        [
            'name'     => 'image',
            'contents' => 'YOUR_IMAGE_URL'
        ],
    ]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/image-replace', $headers);
try {
    $res = $client->sendAsync($request, $options)->wait();
    echo $res->getBody();
} catch (Exception $e) {
    echo 'Error: ' . $e->getMessage();
}
?>


// Example posting a local image file:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)

use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;

$client = new Client();
$headers = [
    'api-key' => 'YOUR_API_KEY'
];
$options = [
    'multipart' => [
        [
            'name'     => 'text',
            'contents' => 'YOUR_TEXT_HERE'
        ],
        [
            'name'     => 'mask',
            'contents' => Utils::tryFopen('/path/to/your/file.jpg', 'r')
        ],
        [
            'name'     => 'image',
            'contents' => Utils::tryFopen('/path/to/your/file.jpg', 'r')
        ],
    ]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/image-replace', $headers);
try {
    $res = $client->sendAsync($request, $options)->wait();
    echo $res->getBody();
} catch (Exception $e) {
    echo 'Error: ' . $e->getMessage();
}
?>


// Example directly sending a text string:
<?php
require 'vendor/autoload.php'; // Ensure you have Guzzle installed (composer require guzzlehttp/guzzle)

use GuzzleHttp\Client;
use GuzzleHttp\Psr7\Utils;

$client = new Client();
$headers = [
    'api-key' => 'YOUR_API_KEY'
];
$options = [
    'multipart' => [
        [
            'name'     => 'text',
            'contents' => 'YOUR_TEXT_HERE'
        ],
        [
            'name'     => 'mask',
            'contents' => 'YOUR_TEXT_HERE'
        ],
        [
            'name'     => 'image',
            'contents' => 'YOUR_TEXT_HERE'
        ],
    ]
];
$request = new GuzzleHttp\Psr7\Request('POST', 'https://api.deepai.org/api/image-replace', $headers);
try {
    $res = $client->sendAsync($request, $options)->wait();
    echo $res->getBody();
} catch (Exception $e) {
    echo 'Error: ' . $e->getMessage();
}
?>

이미지 교체 Go 예시

// Example posting a image URL:
package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
)

func main() {
    url := "https://api.deepai.org/api/image-replace"
    payload := map[string]string{
        "text": "YOUR_TEXT_HERE",
        "mask": "YOUR_IMAGE_URL",
        "image": "YOUR_IMAGE_URL",
    }
    jsonData, _ := json.Marshal(payload)

    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
    req.Header.Set("Content-Type", "application/json")
    req.Header.Set("api-key", "YOUR_API_KEY")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    fmt.Println(string(body))
}


// Example posting a local image file:
package main

import (
    "bytes"
    "fmt"
    "io"
    "mime/multipart"
    "net/http"
    "os"
)

func main() {
    url := "https://api.deepai.org/api/image-replace"

    var b bytes.Buffer
    w := multipart.NewWriter(&b)

    w.WriteField("text", "YOUR_TEXT_HERE")

    maskFile, _ := os.Open("/path/to/your/file.jpg")
    defer maskFile.Close()
    maskWriter, _ := w.CreateFormFile("mask", "file.jpg")
    io.Copy(maskWriter, maskFile)

    imageFile, _ := os.Open("/path/to/your/file.jpg")
    defer imageFile.Close()
    imageWriter, _ := w.CreateFormFile("image", "file.jpg")
    io.Copy(imageWriter, imageFile)

    if err := w.Close(); err != nil {
        panic(err)
    }

    req, _ := http.NewRequest("POST", url, &b)
    req.Header.Set("Content-Type", w.FormDataContentType())
    req.Header.Set("api-key", "YOUR_API_KEY")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    fmt.Println(string(body))
}


// Example directly sending a text string:
package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io"
    "net/http"
)

func main() {
    url := "https://api.deepai.org/api/image-replace"
    payload := map[string]string{
        "text": "YOUR_TEXT_HERE",
        "mask": "YOUR_TEXT_HERE",
        "image": "YOUR_TEXT_HERE",
    }
    jsonData, _ := json.Marshal(payload)

    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(jsonData))
    req.Header.Set("Content-Type", "application/json")
    req.Header.Set("api-key", "YOUR_API_KEY")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := io.ReadAll(resp.Body)
    fmt.Println(string(body))
}

이미지 교체 Java 예시

// Example posting a image URL:
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 {
        HttpClient client = HttpClient.newHttpClient();

        String json = "{" +
            "\"text\": \"YOUR_TEXT_HERE\"" +
            "\"mask\": \"YOUR_IMAGE_URL\"" +
            "\"image\": \"YOUR_IMAGE_URL\"" +
            "}";

        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create("https://api.deepai.org/api/image-replace"))
            .header("Content-Type", "application/json")
            .header("api-key", "YOUR_API_KEY")
            .POST(HttpRequest.BodyPublishers.ofString(json))
            .build();

        HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
        System.out.println(response.body());
    }
}


// Example posting a local image file:
// Add to build.gradle: implementation 'com.squareup.okhttp3:okhttp:4.12.0'
import okhttp3.*;
import java.io.File;
import java.io.IOException;

public class Main {
    public static void main(String[] args) throws IOException {
        OkHttpClient client = new OkHttpClient();

        RequestBody requestBody = new MultipartBody.Builder()
            .setType(MultipartBody.FORM)
            .addFormDataPart("text", "YOUR_TEXT_HERE")
            .addFormDataPart("mask", "file.jpg", RequestBody.create(new File("/path/to/your/file.jpg"), MediaType.parse("application/octet-stream")))
            .addFormDataPart("image", "file.jpg", RequestBody.create(new File("/path/to/your/file.jpg"), MediaType.parse("application/octet-stream")))
            .build();

        Request request = new Request.Builder()
            .url("https://api.deepai.org/api/image-replace")
            .addHeader("api-key", "YOUR_API_KEY")
            .post(requestBody)
            .build();

        try (Response response = client.newCall(request).execute()) {
            System.out.println(response.body().string());
        }
    }
}


// Example directly sending a text string:
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 {
        HttpClient client = HttpClient.newHttpClient();

        String json = "{" +
            "\"text\": \"YOUR_TEXT_HERE\"" +
            "\"mask\": \"YOUR_TEXT_HERE\"" +
            "\"image\": \"YOUR_TEXT_HERE\"" +
            "}";

        HttpRequest request = HttpRequest.newBuilder()
            .uri(URI.create("https://api.deepai.org/api/image-replace"))
            .header("Content-Type", "application/json")
            .header("api-key", "YOUR_API_KEY")
            .POST(HttpRequest.BodyPublishers.ofString(json))
            .build();

        HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
        System.out.println(response.body());
    }
}

이미지 교체 C# 예시

// Example posting a image URL:
using System;
using System.Net.Http;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;

class Program
{
    static async Task Main()
    {
        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");

        var payload = new
        {
            text = "YOUR_TEXT_HERE",
            mask = "YOUR_IMAGE_URL",
            image = "YOUR_IMAGE_URL",
        };

        var json = JsonSerializer.Serialize(payload);
        var content = new StringContent(json, Encoding.UTF8, "application/json");

        var response = await client.PostAsync("https://api.deepai.org/api/image-replace", content);
        var result = await response.Content.ReadAsStringAsync();
        Console.WriteLine(result);
    }
}


// Example posting a local image file:
using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;

class Program
{
    static async Task Main()
    {
        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");

        using var form = new MultipartFormDataContent();

        form.Add(new StringContent("YOUR_TEXT_HERE"), "text");

        var maskStream = File.OpenRead("/path/to/your/file.jpg");
        form.Add(new StreamContent(maskStream), "mask", "file.jpg");

        var imageStream = File.OpenRead("/path/to/your/file.jpg");
        form.Add(new StreamContent(imageStream), "image", "file.jpg");

        var response = await client.PostAsync("https://api.deepai.org/api/image-replace", form);
        var result = await response.Content.ReadAsStringAsync();
        Console.WriteLine(result);
    }
}


// Example directly sending a text string:
using System;
using System.Net.Http;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;

class Program
{
    static async Task Main()
    {
        using var client = new HttpClient();
        client.DefaultRequestHeaders.Add("api-key", "YOUR_API_KEY");

        var payload = new
        {
            text = "YOUR_TEXT_HERE",
            mask = "YOUR_TEXT_HERE",
            image = "YOUR_TEXT_HERE",
        };

        var json = JsonSerializer.Serialize(payload);
        var content = new StringContent(json, Encoding.UTF8, "application/json");

        var response = await client.PostAsync("https://api.deepai.org/api/image-replace", content);
        var result = await response.Content.ReadAsStringAsync();
        Console.WriteLine(result);
    }
}

이미지 교체 Swift 예시

// Example posting a image URL:
import Foundation

let url = URL(string: "https://api.deepai.org/api/image-replace")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")

let payload: [String: Any] = [
    "text": "YOUR_TEXT_HERE",
    "mask": "YOUR_IMAGE_URL",
    "image": "YOUR_IMAGE_URL",
]

request.httpBody = try? JSONSerialization.data(withJSONObject: payload)

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

// Keep the program running for async request
RunLoop.main.run()


// Example posting a local image file:
import Foundation

let url = URL(string: "https://api.deepai.org/api/image-replace")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")

let boundary = UUID().uuidString
request.setValue("multipart/form-data; boundary=\(boundary)", forHTTPHeaderField: "Content-Type")

var body = Data()

body.append("--\(boundary)\r\n".data(using: .utf8)!)
body.append("Content-Disposition: form-data; name=\"text\"\r\n\r\n".data(using: .utf8)!)
body.append("YOUR_TEXT_HERE".data(using: .utf8)!)
body.append("\r\n".data(using: .utf8)!)

let maskData = try! Data(contentsOf: URL(fileURLWithPath: "/path/to/your/file.jpg"))
body.append("--\(boundary)\r\n".data(using: .utf8)!)
body.append("Content-Disposition: form-data; name=\"mask\"; filename=\"file.jpg\"\r\n".data(using: .utf8)!)
body.append("Content-Type: application/octet-stream\r\n\r\n".data(using: .utf8)!)
body.append(maskData)
body.append("\r\n".data(using: .utf8)!)

let imageData = try! Data(contentsOf: URL(fileURLWithPath: "/path/to/your/file.jpg"))
body.append("--\(boundary)\r\n".data(using: .utf8)!)
body.append("Content-Disposition: form-data; name=\"image\"; filename=\"file.jpg\"\r\n".data(using: .utf8)!)
body.append("Content-Type: application/octet-stream\r\n\r\n".data(using: .utf8)!)
body.append(imageData)
body.append("\r\n".data(using: .utf8)!)

body.append("--\(boundary)--\r\n".data(using: .utf8)!)
request.httpBody = body

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

RunLoop.main.run()


// Example directly sending a text string:
import Foundation

let url = URL(string: "https://api.deepai.org/api/image-replace")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.setValue("YOUR_API_KEY", forHTTPHeaderField: "api-key")

let payload: [String: Any] = [
    "text": "YOUR_TEXT_HERE",
    "mask": "YOUR_TEXT_HERE",
    "image": "YOUR_TEXT_HERE",
]

request.httpBody = try? JSONSerialization.data(withJSONObject: payload)

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

RunLoop.main.run()

이미지 교체 Kotlin 예시

// Example posting a image URL:
import java.net.URI
import java.net.http.HttpClient
import java.net.http.HttpRequest
import java.net.http.HttpResponse

fun main() {
    val client = HttpClient.newHttpClient()

    val json = """{
        "text": "YOUR_TEXT_HERE",
        "mask": "YOUR_IMAGE_URL",
        "image": "YOUR_IMAGE_URL"
    }"""

    val request = HttpRequest.newBuilder()
        .uri(URI.create("https://api.deepai.org/api/image-replace"))
        .header("Content-Type", "application/json")
        .header("api-key", "YOUR_API_KEY")
        .POST(HttpRequest.BodyPublishers.ofString(json))
        .build()

    val response = client.send(request, HttpResponse.BodyHandlers.ofString())
    println(response.body())
}


// Example posting a local image file:
// Add to build.gradle.kts: implementation("com.squareup.okhttp3:okhttp:4.12.0")
import okhttp3.*
import okhttp3.MediaType.Companion.toMediaType
import okhttp3.RequestBody.Companion.asRequestBody
import java.io.File

fun main() {
    val client = OkHttpClient()

    val requestBody = MultipartBody.Builder()
        .setType(MultipartBody.FORM)
        .addFormDataPart("text", "YOUR_TEXT_HERE")
        .addFormDataPart("mask", "file.jpg", File("/path/to/your/file.jpg").asRequestBody("application/octet-stream".toMediaType()))
        .addFormDataPart("image", "file.jpg", File("/path/to/your/file.jpg").asRequestBody("application/octet-stream".toMediaType()))
        .build()

    val request = Request.Builder()
        .url("https://api.deepai.org/api/image-replace")
        .addHeader("api-key", "YOUR_API_KEY")
        .post(requestBody)
        .build()

    client.newCall(request).execute().use { response ->
        println(response.body?.string())
    }
}


// Example directly sending a text string:
import java.net.URI
import java.net.http.HttpClient
import java.net.http.HttpRequest
import java.net.http.HttpResponse

fun main() {
    val client = HttpClient.newHttpClient()

    val json = """{
        "text": "YOUR_TEXT_HERE",
        "mask": "YOUR_TEXT_HERE",
        "image": "YOUR_TEXT_HERE"
    }"""

    val request = HttpRequest.newBuilder()
        .uri(URI.create("https://api.deepai.org/api/image-replace"))
        .header("Content-Type", "application/json")
        .header("api-key", "YOUR_API_KEY")
        .POST(HttpRequest.BodyPublishers.ofString(json))
        .build()

    val response = client.send(request, HttpResponse.BodyHandlers.ofString())
    println(response.body())
}

이미지 교체 Rust 예시

// Example posting a image URL:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
// serde_json = "1"

use reqwest::header::HeaderMap;
use std::collections::HashMap;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = reqwest::Client::new();

    let mut headers = HeaderMap::new();
    headers.insert("api-key", "YOUR_API_KEY".parse()?);

    let mut payload = HashMap::new();
    payload.insert("text", "YOUR_TEXT_HERE");
    payload.insert("mask", "YOUR_IMAGE_URL");
    payload.insert("image", "YOUR_IMAGE_URL");

    let response = client
        .post("https://api.deepai.org/api/image-replace")
        .headers(headers)
        .json(&payload)
        .send()
        .await?;

    println!("{}", response.text().await?);
    Ok(())
}


// Example posting a local image file:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }

use reqwest::multipart;
use std::fs;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = reqwest::Client::new();

    let form = multipart::Form::new()
        .text("text", "YOUR_TEXT_HERE")
        .file("mask", "/path/to/your/file.jpg")?
        .file("image", "/path/to/your/file.jpg")?;

    let response = client
        .post("https://api.deepai.org/api/image-replace")
        .header("api-key", "YOUR_API_KEY")
        .multipart(form)
        .send()
        .await?;

    println!("{}", response.text().await?);
    Ok(())
}


// Example directly sending a text string:
// Add to Cargo.toml: reqwest = { version = "0.11", features = ["json", "multipart"] }
// tokio = { version = "1", features = ["full"] }
// serde_json = "1"

use reqwest::header::HeaderMap;
use std::collections::HashMap;

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let client = reqwest::Client::new();

    let mut headers = HeaderMap::new();
    headers.insert("api-key", "YOUR_API_KEY".parse()?);

    let mut payload = HashMap::new();
    payload.insert("text", "YOUR_TEXT_HERE");
    payload.insert("mask", "YOUR_TEXT_HERE");
    payload.insert("image", "YOUR_TEXT_HERE");

    let response = client
        .post("https://api.deepai.org/api/image-replace")
        .headers(headers)
        .json(&payload)
        .send()
        .await?;

    println!("{}", response.text().await?);
    Ok(())
}

이미지 교체 TypeScript 예시

// Example posting a image URL:
interface ApiResponse {
    // Define your response type here
    [key: string]: unknown;
}

async function callApi(): Promise<ApiResponse> {
    const response = await fetch('https://api.deepai.org/api/image-replace', {
        method: 'POST',
        headers: {
            'Content-Type': 'application/json',
            'api-key': 'YOUR_API_KEY'
        },
        body: JSON.stringify({
            text: 'YOUR_TEXT_HERE',
            mask: 'YOUR_IMAGE_URL',
            image: 'YOUR_IMAGE_URL',
        })
    });

    const data: ApiResponse = await response.json();
    console.log(data);
    return data;
}

callApi();


// Example posting a local image file (Node.js with form-data package):
// npm install form-data
import * as fs from 'fs';
import FormData from 'form-data';

interface ApiResponse {
    [key: string]: unknown;
}

async function uploadFile(): Promise<ApiResponse> {
    const formData = new FormData();
    formData.append('text', 'YOUR_TEXT_HERE');
    formData.append('mask', fs.createReadStream('/path/to/your/file.jpg'));
    formData.append('image', fs.createReadStream('/path/to/your/file.jpg'));

    const response = await fetch('https://api.deepai.org/api/image-replace', {
        method: 'POST',
        headers: {
            ...formData.getHeaders(),
            'api-key': 'YOUR_API_KEY'
        },
        body: formData as unknown as BodyInit
    });

    const data: ApiResponse = await response.json();
    console.log(data);
    return data;
}

uploadFile();


// Example directly sending a text string:
interface ApiResponse {
    [key: string]: unknown;
}

async function callApi(): Promise<ApiResponse> {
    const response = await fetch('https://api.deepai.org/api/image-replace', {
        method: 'POST',
        headers: {
            'Content-Type': 'application/json',
            'api-key': 'YOUR_API_KEY'
        },
        body: JSON.stringify({
            text: 'YOUR_TEXT_HERE',
            mask: 'YOUR_TEXT_HERE',
            image: 'YOUR_TEXT_HERE',
        })
    });

    const data: ApiResponse = await response.json();
    console.log(data);
    return data;
}

callApi();

이미지 교체 Dart 예시

// Example posting a image URL:
// Add to pubspec.yaml: http: ^1.1.0

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

Future<void> main() async {
  final response = await http.post(
    Uri.parse('https://api.deepai.org/api/image-replace'),
    headers: {
      'Content-Type': 'application/json',
      'api-key': 'YOUR_API_KEY',
    },
    body: jsonEncode({
      'text': 'YOUR_TEXT_HERE',
      'mask': 'YOUR_IMAGE_URL',
      'image': 'YOUR_IMAGE_URL',
    }),
  );

  print(response.body);
}


// Example posting a local image file:
// Add to pubspec.yaml: http: ^1.1.0

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

Future<void> main() async {
  var request = http.MultipartRequest(
    'POST',
    Uri.parse('https://api.deepai.org/api/image-replace'),
  );

  request.headers['api-key'] = 'YOUR_API_KEY';

  request.fields['text'] = 'YOUR_TEXT_HERE';

  request.files.add(
    await http.MultipartFile.fromPath('mask', '/path/to/your/file.jpg'),
  );

  request.files.add(
    await http.MultipartFile.fromPath('image', '/path/to/your/file.jpg'),
  );

  var response = await request.send();
  var responseBody = await response.stream.bytesToString();
  print(responseBody);
}


// Example directly sending a text string:
// Add to pubspec.yaml: http: ^1.1.0

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

Future<void> main() async {
  final response = await http.post(
    Uri.parse('https://api.deepai.org/api/image-replace'),
    headers: {
      'Content-Type': 'application/json',
      'api-key': 'YOUR_API_KEY',
    },
    body: jsonEncode({
      'text': 'YOUR_TEXT_HERE',
      'mask': 'YOUR_TEXT_HERE',
      'image': 'YOUR_TEXT_HERE',
    }),
  );

  print(response.body);
}

이미지 교체 PowerShell 예시

# Example posting a image URL:

$r = Invoke-WebRequest `
    -Uri https://api.deepai.org/api/image-replace `
    -Method Post `
    -Form @{
         text='YOUR_TEXT_HERE' 
         mask='YOUR_IMAGE_URL' 
         image='YOUR_IMAGE_URL' 
    } `
    -Headers @{
        'api-key'='YOUR_API_KEY' 
    } 
$r.Content

# Example posting a local image file:

$r = Invoke-WebRequest `
    -Uri https://api.deepai.org/api/image-replace `
    -Method Post `
    -Form @{
         text='YOUR_TEXT_HERE' 
        mask=Get-Item -Path '/path/to/your/file.jpg' 
        image=Get-Item -Path '/path/to/your/file.jpg' 
    } `
    -Headers @{
        'api-key'='YOUR_API_KEY' 
    } 
$r.Content

# Example directly sending a text string:

$r = Invoke-WebRequest `
    -Uri https://api.deepai.org/api/image-replace `
    -Method Post `
    -Form @{
         text='YOUR_TEXT_HERE' 
         mask='YOUR_TEXT_HERE' 
         image='YOUR_TEXT_HERE' 
    } `
    -Headers @{
        'api-key'='YOUR_API_KEY' 
    } 
$r.Content

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