Upscale Images
The size of an image matter a lot in terms of resolution and use in projects. This API can upscale images up to 4x while also making it more clear -- making sure you don’t lose clarity even while upscaling an image.
The Super Resolution API uses machine learning to clarify, sharpen, and upscale the photo without losing its content and defining characteristics. Blurry images are unfortunately common and are a problem for professionals and hobbyists alike. Super resolution uses machine learning techniques to upscale images in a fraction of a second.
Transform your selfies into stunning, studio-quality professional headshots in just minutes!
Try it nowQUICK START API REQUEST
curl \
-F 'image=YOUR_IMAGE_URL' \
-H 'api-key:YOUR_API_KEY' \
https://api.deepai.org/api/torch-srgan
Scale from zero to the moon (and back) in seconds. Only pay for what you use.
Deploy a ModelSharpening images with a photo editor can mean losing other factors, such as color or detail. The super resolution API uses deep learning to maintain those features.
Whether you are processing images for you website or another deep learning model, quality always goes a long way.
With super resolution powered by deep learning, you can increase the resolution of your images 4x without losing rich features.
The size of an image matter a lot in terms of resolution and use in projects. This API can upscale images up to 4x while also making it more clear -- making sure you don’t lose clarity even while upscaling an image.
We keep images sharp and clear, and the colors more vibrant for you to keep memories alive. With enhanced colors and tones, you can have more contrasted images and a more engaging media library.
Super Resolution cURL Examples
# 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
Super Resolution Javascript Examples
// Get the 'deepai' package here (Compatible with browser & nodejs):
// https://www.npmjs.com/package/deepai
// All examples use JS async-await syntax, be sure to call the API inside an async function.
// Learn more about async-await here: https://javascript.info/async-await
// Example posting a image URL:
const deepai = require('deepai'); // OR include deepai.min.js as a script tag in your HTML
deepai.setApiKey('YOUR_API_KEY');
(async function() {
var resp = await deepai.callStandardApi("torch-srgan", {
image: "YOUR_IMAGE_URL",
});
console.log(resp);
})()
// Example posting file picker input image (Browser only):
const deepai = require('deepai'); // OR include deepai.min.js as a script tag in your HTML
deepai.setApiKey('YOUR_API_KEY');
(async function() {
var resp = await deepai.callStandardApi("torch-srgan", {
image: document.getElementById('yourFileInputId'),
});
console.log(resp);
})()
// Example posting a local image file (Node.js only):
const fs = require('fs');
const deepai = require('deepai'); // OR include deepai.min.js as a script tag in your HTML
deepai.setApiKey('YOUR_API_KEY');
(async function() {
var resp = await deepai.callStandardApi("torch-srgan", {
image: fs.createReadStream("/path/to/your/file.jpg"),
});
console.log(resp);
})()
Super Resolution Python Examples
# 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())
Super Resolution Ruby Examples
# 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
Super Resolution Csharp Examples
// Ensure your DeepAI.Client NuGet package is up to date: https://www.nuget.org/packages/DeepAI.Client
// Example posting a image URL:
using DeepAI; // Add this line to the top of your file
DeepAI_API api = new DeepAI_API(apiKey: "YOUR_API_KEY");
StandardApiResponse resp = api.callStandardApi("torch-srgan", new {
image = "YOUR_IMAGE_URL",
});
Console.Write(api.objectAsJsonString(resp));
// Example posting a local image file:
using DeepAI; // Add this line to the top of your file
DeepAI_API api = new DeepAI_API(apiKey: "YOUR_API_KEY");
StandardApiResponse resp = api.callStandardApi("torch-srgan", new {
image = File.OpenRead("C:\\path\\to\\your\\file.jpg"),
});
Console.Write(api.objectAsJsonString(resp));