Upscale: 2x and 4x

Upscale any image to higher resolution, this is not from Midjourney. Image must not be larger than 2048x2048.

POST https://api.apiframe.pro/upscale-highres

Headers

Name	Value
Content-Type	application/json
Authorization*	Your APIFRAME API Key

Body

Name	Type	Description
parent_task_id	string	The task ID of the image to upscale. * Required if you don't provide an image_url
image_url	string	The URL of the image to upscale. * Required if you don't provide a parent_task_id
type*	string	The type of upscale. Can be "2x" or "4x".
index	string	The index of the image to upscale. Can be 1, 2, 3 or 4 Only needed if it's a 4 generated images task.
webhook_url	string	The final result of this task will be posted at this URL.
webhook_secret	string	Will be passed as x-webhook-secret in the webhook call headers for authentication.

Response

200

// Success, the task has been submitted
{
  "task_id": "29e983ca-7e86-4017-a9e3-ef6fe9cd5f2a"
}

400

// Bad request
{
  "errors": [{ msg: "Invalid request" }]
}

401

// Invalid API Key
{}

500

// A server error occured
{}

This endpoint doesn't generate images instantly, you can use the Fetch endpoint to fetch the result or use webhooks.

The result (posted to the webhook_url or retrieved with the Fetch endpoint) looks like this:

{
    "task_id": "29e983ca-7e86-4017-a9e3-ef6fe9cd5f2a",
    "image_url": "https://............./xxxxx.png",
    "task_type": "upscale-2x"
}

If the job is not completed, you will get a result like this:

{
    "task_id": "29e983ca-7e86-4017-a9e3-ef6fe9cd5f2a",
    "task_type": "upscale-2x",
    "status": "processing",
    "percentage": "80",
}

Code samples

JavaScript

const axios = require('axios');
let data = JSON.stringify({
  "parent_task_id": "29e983ca-7e86-4017-a9e3-ef6fe9cd5f2a",
  "type": "4x"
});

let config = {
  method: 'post',
  maxBodyLength: Infinity,
  url: 'https://api.apiframe.pro/upscale-highres',
  headers: { 
    'Content-Type': 'application/json', 
    'Authorization': 'YOUR_API_KEY'
  },
  data : data
};

axios.request(config)
.then((response) => {
  console.log(JSON.stringify(response.data));
})
.catch((error) => {
  console.log(error);
});

Python

import requests
import json

url = "https://api.apiframe.pro/upscale-highres"

payload = json.dumps({
  "parent_task_id": "29e983ca-7e86-4017-a9e3-ef6fe9cd5f2a",
  "type": "4x"
})
headers = {
  'Content-Type': 'application/json',
  'Authorization': 'YOUR_API_KEY'
}

response = requests.request("POST", url, headers=headers, data=payload)

print(response.text)

PHP

<?php

$curl = curl_init();

curl_setopt_array($curl, array(
  CURLOPT_URL => 'https://api.apiframe.pro/upscale-highres',
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => '',
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 0,
  CURLOPT_FOLLOWLOCATION => true,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => 'POST',
  CURLOPT_POSTFIELDS =>'{
    "parent_task_id": "29e983ca-7e86-4017-a9e3-ef6fe9cd5f2a",
    "type": "4x"
}',
  CURLOPT_HTTPHEADER => array(
    'Content-Type: application/json',
    'Authorization: YOUR_API_KEY'
  ),
));

$response = curl_exec($curl);

curl_close($curl);
echo $response;

Java

OkHttpClient client = new OkHttpClient().newBuilder()
  .build();
MediaType mediaType = MediaType.parse("application/json");
RequestBody body = RequestBody.create(mediaType, "{\r\n    \"parent_task_id\": \"29e983ca-7e86-4017-a9e3-ef6fe9cd5f2a\",\r\n    \"type\": \"4x\"\r\n}");
Request request = new Request.Builder()
  .url("https://api.apiframe.pro/upscale-highres")
  .method("POST", body)
  .addHeader("Content-Type", "application/json")
  .addHeader("Authorization", "YOUR_API_KEY")
  .build();
Response response = client.newCall(request).execute();

Flutter

var headers = {
  'Content-Type': 'application/json',
  'Authorization': 'YOUR_API_KEY'
};
var data = json.encode({
  "parent_task_id": "29e983ca-7e86-4017-a9e3-ef6fe9cd5f2a",
  "type": "4x"
});
var dio = Dio();
var response = await dio.request(
  'https://api.apiframe.pro/upscale-highres',
  options: Options(
    method: 'POST',
    headers: headers,
  ),
  data: data,
);

if (response.statusCode == 200) {
  print(json.encode(response.data));
}
else {
  print(response.statusMessage);
}

C#

var client = new HttpClient();
var request = new HttpRequestMessage(HttpMethod.Post, "https://api.apiframe.pro/upscale-highres");
request.Headers.Add("Authorization", "YOUR_API_KEY");
var content = new StringContent("{\r\n    \"parent_task_id\": \"29e983ca-7e86-4017-a9e3-ef6fe9cd5f2a\",\r\n    \"type\": \"4x\"\r\n}", null, "application/json");
request.Content = content;
var response = await client.SendAsync(request);
response.EnsureSuccessStatusCode();
Console.WriteLine(await response.Content.ReadAsStringAsync());

Ruby

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

url = URI("https://api.apiframe.pro/upscale-highres")

https = Net::HTTP.new(url.host, url.port)
https.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Content-Type"] = "application/json"
request["Authorization"] = "YOUR_API_KEY"
request.body = JSON.dump({
  "parent_task_id": "29e983ca-7e86-4017-a9e3-ef6fe9cd5f2a",
  "type": "4x"
})

response = https.request(request)
puts response.read_body