Super Resolution Endpoint

• outpainting
• blip_diffusion
• magic_mix
• depth2img
• image_guided_editing
• removebg_createmask
• super_resolution
• image_mixer
• multiview
• fashion
• face_gen
• fetch
• inpaint
• head shot
• object_removal
• avatar_gen
• relighting

Overview

Stable Diffusion V6 APIs Super Resolution API returns a super resolution version of an image that is passed to the url attribute.

Request

--request POST 'https://modelslab.com/api/v6/image_editing/super_resolution' \

Send a POST request to https://modelslab.com/api/v6/image_editing/super_resolution endpoint to return the corresponding super resolution image of the image passed.

Watch the how-to video to see it in action.

Body Attributes

Parameter	Description	Values
key	Your API Key used for request authorization	string
url	The URL of the image that you want to upscale	URL
scale	The scaling factor for the image (min 1 - max 4)	integer (1 to 4)
model_id	The upscale model to use. The default is realesr-general-x4v3. Supported models include:	- RealESRGAN_x4plus: 4x upscaling model - RealESRNet_x4plus: 4x upscaling model - RealESRGAN_x4plus_anime_6B: 4x Anime upscaling model - RealESRGAN_x2plus: 2x upscaling model - realesr-general-x4v3: 4x upscaling model
webhook	Provide a URL to receive a POST API call once the image generation is complete	URL
face_enhance	A boolean flag for the face enhancement feature	boolean (true/false)

The following upscale models are supported:

Model ID	Description
RealESRGAN_x4plus	4x upscaling model
RealESRNet_x4plus	4x upscaling model
RealESRGAN_x4plus_anime_6B	4x Anime upscaling model
RealESRGAN_x2plus	2x upscaling model
realesr-general-x4v3	4x upscaling general model

Want more upscale models? Request a custom model by contacting us at our Discord server.

Example

Body

Body Raw

{
 "key": "",
 "url": "https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/livewire-tmp/7cppXZYqwxzOSAAthk5FQTXvx9oMLi-metaNzlmMDFiOGYtNjVmZi00ZDZiLWJlMmQtYzdhNDM2OWY0ZjU2LTIucG5n-.png",
 "scale": 3,
 "webhook": null,
 "face_enhance": false
}

Request

JS

var myHeaders = new Headers();
myHeaders.append("Content-Type", "application/json");

var raw = JSON.stringify({
 "key": "",
 "url": "https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/livewire-tmp/7cppXZYqwxzOSAAthk5FQTXvx9oMLi-metaNzlmMDFiOGYtNjVmZi00ZDZiLWJlMmQtYzdhNDM2OWY0ZjU2LTIucG5n-.png",
 "scale": 3,
 "webhook": null,
 "face_enhance": false
});

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

fetch("https://modelslab.com/api/v6/image_editing/super_resolution", requestOptions)
  .then(response => response.text())
  .then(result => console.log(result))
  .catch(error => console.log('error', error));

PHP

<?php

$payload = [
  "key" => "", 
  "url" => "https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/livewire-tmp/7cppXZYqwxzOSAAthk5FQTXvx9oMLi-metaNzlmMDFiOGYtNjVmZi00ZDZiLWJlMmQtYzdhNDM2OWY0ZjU2LTIucG5n-.png", 
  "scale" => 3, 
  "webhook" => null, 
  "face_enhance" => false 
];

$curl = curl_init();

curl_setopt_array($curl, array(
  CURLOPT_URL => 'https://modelslab.com/api/v6/image_editing/super_resolution',
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => '',
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 0,
  CURLOPT_FOLLOWLOCATION => true,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => 'POST',
  CURLOPT_POSTFIELDS => json_encode($payload),
  CURLOPT_HTTPHEADER => array(
    'Content-Type: application/json'
  ),
));

$response = curl_exec($curl);

curl_close($curl);
echo $response;

NODE

var request = require('request');
var options = {
  'method': 'POST',
  'url': 'https://modelslab.com/api/v6/image_editing/super_resolution',
  'headers': {
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    "key": "",
    "url": "https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/livewire-tmp/7cppXZYqwxzOSAAthk5FQTXvx9oMLi-metaNzlmMDFiOGYtNjVmZi00ZDZiLWJlMmQtYzdhNDM2OWY0ZjU2LTIucG5n-.png",
    "scale": 3,
    "webhook": null,
    "face_enhance": false
  })
};

request(options, function (error, response) {
  if (error) throw new Error(error);
  console.log(response.body);
});

PYTHON

import requests
import json

url = "https://modelslab.com/api/v6/image_editing/super_resolution"

payload = json.dumps({
 "key": "",
 "url": "https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/livewire-tmp/7cppXZYqwxzOSAAthk5FQTXvx9oMLi-metaNzlmMDFiOGYtNjVmZi00ZDZiLWJlMmQtYzdhNDM2OWY0ZjU2LTIucG5n-.png",
 "scale": 3,
 "webhook": None,
 "face_enhance": False
})

headers = {
  'Content-Type': 'application/json'
}

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

print(response.text)

JAVA

OkHttpClient client = new OkHttpClient().newBuilder()
  .build();
MediaType mediaType = MediaType.parse("application/json");
RequestBody body = RequestBody.create(mediaType, "{\n    \"key\": \"\",\n    \"url\": \"https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/livewire-tmp/7cppXZYqwxzOSAAthk5FQTXvx9oMLi-metaNzlmMDFiOGYtNjVmZi00ZDZiLWJlMmQtYzdhNDM2OWY0ZjU2LTIucG5n-.png\",\n    \"scale\": 3,\n    \"webhook\": null,\n    \"face_enhance\": false\n}");
Request request = new Request.Builder()
  .url("https://modelslab.com/api/v6/image_editing/super_resolution")
  .method("POST", body)
  .addHeader("Content-Type", "application/json")
  .build();
Response response = client.newCall(request).execute();

Response

{
    "status": "success",
    "generationTime": 7.421302318572998,
    "id": 235706,
    "output": [
        "https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/generations/84363904-e07e-4f96-af2b-b20a92540386_out.png"
    ],
    "proxy_links": "https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/generations/84363904-e07e-4f96-af2b-b20a92540386_out.png",
    "meta": {
        "ext": "png",
        "face_enhance": "0",
        "file_name": "84363904-e07e-4f96-af2b-b20a92540386.png",
        "file_prefix": "84363904-e07e-4f96-af2b-b20a92540386",
        "model_name": "realesr-general-x4v3",
        "scale": "3",
        "url": "https://pub-3626123a908346a7a8be8d9295f44e26.r2.dev/livewire-tmp/7cppXZYqwxzOSAAthk5FQTXvx9oMLi-metaNzlmMDFiOGYtNjVmZi00ZDZiLWJlMmQtYzdhNDM2OWY0ZjU2LTIucG5n-.png"
    }
}