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Waifu2x API

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Waifu2x is an algorithm that upscales images while reducing noise within the image. It gets its name from the anime-style art known as 'waifu' that it was largely trained on. Even though waifus made up most of the training data, this waifu2x api still performs well on photographs and other types of imagery. You can use Waifu2x to double the size of your images while reducing noise.



API Docs
Recently generated images:
QUICK START API REQUEST 
curl \
    -F 'image=YOUR_IMAGE_URL' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/waifu2x

Waifu2x API Documentation

Pricing: $5 per 100 API calls, or $5 per 500 for DeepAI Pro subscribers

Waifu2x cURL Examples

 
# Example posting a image URL:

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


# Example posting a local image file:

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

Waifu2x Javascript 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("waifu2x", {
            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("waifu2x", {
            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("waifu2x", {
            image: fs.createReadStream("/path/to/your/file.jpg"),
    });
    console.log(resp);
})()

Waifu2x Python Examples

 
# Example posting a image URL:

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


# Example posting a local image file:

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

Waifu2x Ruby Examples

 
# Example posting a image URL:

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


# Example posting a local image file:

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

Waifu2x 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("waifu2x", 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("waifu2x", new {
        image = File.OpenRead("C:\\path\\to\\your\\file.jpg"),
});
Console.Write(api.objectAsJsonString(resp));

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