Dokumentasi

Panduan, referensi, dan dokumentasi API untuk alat-alat DeepAI

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Ini adalah pembuat gambar AI. Alat ini membuat gambar dari awal berdasarkan deskripsi teks.

Titik akhir: POST https://api.deepai.org/api/text2img

Parameter
ParameterJenisDiperlukanDefault
text text Ya

text — sebuah string yang menjelaskan apa yang akan dihasilkan, misalnya "Malam berbintang di atas danau yang tenang" atau "Potret seorang bajak laut tua".

width, height — masukkan string, misalnya "256" atau "768" (nilai default 512). Gunakan nilai antara 128 dan 1536, dengan kelipatan 32. Direkomendasikan untuk gambar standar: 1024x576, 1024x720, 512x512, 768x1024, 576x1024. Direkomendasikan untuk gambar HD: 1216x832, 1152x896, 1024x1024, 896x1152, 832x1216. Nilai di atas ~700 atau di bawah 256 dapat menghasilkan keluaran yang aneh.

image_generator_version — "standard" (default), "hd", "genius", atau "super_genius".

resolution — "2k" (default) atau "4k". Hanya digunakan jika image_generator_version adalah "super_genius".

genius_preference — "anime", "photography", "graphic", atau "cinematic". Hanya digunakan jika image_generator_version adalah "genius".

negative_prompt — sebuah string yang menjelaskan apa saja yang harus dihapus dari gambar; berguna untuk meningkatkan kualitas dan detail. Contoh: 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.

Contoh Pembuat gambar AI cURL

# 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 

Contoh Pembuat gambar AI Javascript

// 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);
})()

Contoh Pembuat gambar AI Python

# 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())

Contoh Pembuat gambar AI Ruby

# 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

Contoh Pembuat gambar AI Php

// 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();
}
?>

Contoh Pembuat gambar AI Go

// 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))
}

Contoh Pembuat gambar AI Java

// 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());
    }
}

Contoh Pembuat gambar AI C#

// 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);
    }
}

Contoh Pembuat gambar AI Swift

// 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()

Contoh Pembuat gambar AI Kotlin

// 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())
}

Contoh Pembuat gambar AI Rust

// 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(())
}

Contoh Pembuat gambar AI TypeScript

// 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();

Contoh Pembuat gambar AI Dart

// 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);
}

Contoh Pembuat gambar AI PowerShell

# 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

Penghapus latar belakangKembali ke atas ↑

Hapus latar belakang gambar dengan AI.

Titik akhir: POST https://api.deepai.org/api/background-remover

Parameter
ParameterJenisDiperlukanDefault
image image Ya

Contoh Penghapus latar belakang cURL

# 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 

Contoh Penghapus latar belakang Javascript

// 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);
});

Contoh Penghapus latar belakang Python

# 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())

Contoh Penghapus latar belakang Ruby

# 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

Contoh Penghapus latar belakang Php

// 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();
}
?>

Contoh Penghapus latar belakang Go

// 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))
}

Contoh Penghapus latar belakang Java

// 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());
        }
    }
}

Contoh Penghapus latar belakang C#

// 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);
    }
}

Contoh Penghapus latar belakang Swift

// 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()

Contoh Penghapus latar belakang Kotlin

// 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())
    }
}

Contoh Penghapus latar belakang Rust

// 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(())
}

Contoh Penghapus latar belakang TypeScript

// 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();

Contoh Penghapus latar belakang Dart

// 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);
}

Contoh Penghapus latar belakang PowerShell

# 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

Editor foto AIKembali ke atas ↑

Edit foto dan gambar menggunakan AI.

Titik akhir: POST https://api.deepai.org/api/image-editor

Parameter
ParameterJenisDiperlukanDefault
image image Ya
text text Ya

image_generator_version — opsional. Gunakan "genius" atau "super_genius" untuk hasil pengeditan yang lebih berkualitas dan lebih terperinci. Defaultnya adalah editor standar.

resolution — "2k" (default) atau "4k". Hanya digunakan jika image_generator_version adalah "super_genius".

Contoh Editor foto AI cURL

# 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 

Contoh Editor foto AI Javascript

// 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);
});

Contoh Editor foto AI Python

# 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())

Contoh Editor foto AI Ruby

# 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

Contoh Editor foto AI Php

// 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();
}
?>

Contoh Editor foto AI Go

// 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))
}

Contoh Editor foto AI Java

// 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());
        }
    }
}

Contoh Editor foto AI C#

// 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);
    }
}

Contoh Editor foto AI Swift

// 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()

Contoh Editor foto AI Kotlin

// 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())
    }
}

Contoh Editor foto AI Rust

// 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(())
}

Contoh Editor foto AI TypeScript

// 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();

Contoh Editor foto AI Dart

// 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);
}

Contoh Editor foto AI PowerShell

# 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

Pewarna gambarKembali ke atas ↑

Tambahkan warna pada foto-foto keluarga lama dan gambar-gambar bersejarah, atau hidupkan kembali film lama dengan teknik pewarnaan.

Titik akhir: POST https://api.deepai.org/api/colorizer

Parameter
ParameterJenisDiperlukanDefault
image image Ya

Contoh Pewarna gambar cURL

# 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 

Contoh Pewarna gambar Javascript

// 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);
});

Contoh Pewarna gambar Python

# 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())

Contoh Pewarna gambar Ruby

# 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

Contoh Pewarna gambar Php

// 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();
}
?>

Contoh Pewarna gambar Go

// 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))
}

Contoh Pewarna gambar Java

// 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());
        }
    }
}

Contoh Pewarna gambar C#

// 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);
    }
}

Contoh Pewarna gambar Swift

// 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()

Contoh Pewarna gambar Kotlin

// 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())
    }
}

Contoh Pewarna gambar Rust

// 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(())
}

Contoh Pewarna gambar TypeScript

// 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();

Contoh Pewarna gambar Dart

// 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);
}

Contoh Pewarna gambar PowerShell

# 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

Resolusi superKembali ke atas ↑

API Super Resolution memanfaatkan pembelajaran mesin untuk memperjelas, mempertajam, dan meningkatkan resolusi foto tanpa mengorbankan konten serta ciri khasnya. Sayangnya, gambar yang buram sering terjadi dan menjadi masalah bagi para profesional maupun penggemar fotografi. Super resolution menggunakan teknik pembelajaran mesin untuk meningkatkan resolusi gambar dalam sekejap mata.

Titik akhir: POST https://api.deepai.org/api/torch-srgan

Parameter
ParameterJenisDiperlukanDefault
image image Ya

Contoh Resolusi super cURL

# 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 

Contoh Resolusi super Javascript

// 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);
});

Contoh Resolusi super Python

# 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())

Contoh Resolusi super Ruby

# 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

Contoh Resolusi super Php

// 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();
}
?>

Contoh Resolusi super Go

// 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))
}

Contoh Resolusi super Java

// 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());
        }
    }
}

Contoh Resolusi super C#

// 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);
    }
}

Contoh Resolusi super Swift

// 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()

Contoh Resolusi super Kotlin

// 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())
    }
}

Contoh Resolusi super Rust

// 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(())
}

Contoh Resolusi super TypeScript

// 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();

Contoh Resolusi super Dart

// 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);
}

Contoh Resolusi super PowerShell

# 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

Waifu2xKembali ke atas ↑

Waifu2x adalah algoritma yang meningkatkan resolusi gambar sekaligus mengurangi noise di dalamnya. Nama algoritma ini diambil dari gaya seni anime yang dikenal sebagai 'waifu', yang menjadi bahan utama dalam proses pelatihannya. Meskipun waifu mendominasi sebagian besar data pelatihan, API Waifu2x ini tetap memberikan hasil yang baik pada foto dan jenis gambar lainnya. Anda dapat menggunakan Waifu2x untuk menggandakan ukuran gambar Anda sekaligus mengurangi noise.

Titik akhir: POST https://api.deepai.org/api/waifu2x

Parameter
ParameterJenisDiperlukanDefault
image image Ya

Contoh Waifu2x cURL

# 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 

Contoh Waifu2x Javascript

// 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);
});

Contoh Waifu2x Python

# 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())

Contoh Waifu2x Ruby

# 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

Contoh Waifu2x Php

// 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();
}
?>

Contoh Waifu2x Go

// 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))
}

Contoh Waifu2x Java

// 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());
        }
    }
}

Contoh Waifu2x C#

// 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);
    }
}

Contoh Waifu2x Swift

// 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()

Contoh Waifu2x Kotlin

// 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())
    }
}

Contoh Waifu2x Rust

// 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(())
}

Contoh Waifu2x TypeScript

// 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();

Contoh Waifu2x Dart

// 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);
}

Contoh Waifu2x PowerShell

# 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

Perbesaran kreatifKembali ke atas ↑

Titik akhir: POST https://api.deepai.org/api/creative-upscale

Parameter
ParameterJenisDiperlukanDefault
image image Ya

Contoh Perbesaran kreatif cURL

# 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 

Contoh Perbesaran kreatif Javascript

// 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);
});

Contoh Perbesaran kreatif Python

# 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())

Contoh Perbesaran kreatif Ruby

# 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

Contoh Perbesaran kreatif Php

// 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();
}
?>

Contoh Perbesaran kreatif Go

// 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))
}

Contoh Perbesaran kreatif Java

// 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());
        }
    }
}

Contoh Perbesaran kreatif C#

// 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);
    }
}

Contoh Perbesaran kreatif Swift

// 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()

Contoh Perbesaran kreatif Kotlin

// 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())
    }
}

Contoh Perbesaran kreatif Rust

// 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(())
}

Contoh Perbesaran kreatif TypeScript

// 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();

Contoh Perbesaran kreatif Dart

// 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);
}

Contoh Perbesaran kreatif PowerShell

# 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

Penggantian gambarKembali ke atas ↑

Ganti dan edit objek dalam gambar menggunakan AI.

Titik akhir: POST https://api.deepai.org/api/image-replace

Parameter
ParameterJenisDiperlukanDefault
image image Ya
mask image Ya
text text Ya

Contoh Penggantian gambar cURL

# 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 

Contoh Penggantian gambar Javascript

// 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);
})()

Contoh Penggantian gambar Python

# 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())

Contoh Penggantian gambar Ruby

# 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

Contoh Penggantian gambar Php

// 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();
}
?>

Contoh Penggantian gambar Go

// 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))
}

Contoh Penggantian gambar Java

// 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());
    }
}

Contoh Penggantian gambar C#

// 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);
    }
}

Contoh Penggantian gambar Swift

// 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()

Contoh Penggantian gambar Kotlin

// 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())
}

Contoh Penggantian gambar Rust

// 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(())
}

Contoh Penggantian gambar TypeScript

// 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();

Contoh Penggantian gambar Dart

// 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);
}

Contoh Penggantian gambar PowerShell

# 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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