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justinpinkney
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Turn a photo of any face into a cartoon instantly with artificial intelligence. Toonify uses a convolutional neural network to quickly transform the photo into a cartoon. While generative adversarial networks (GANs) were used in the creation of Toonify, they are not used in the final model.
url upload
file upload
QUICK START API REQUEST
curl \
-F 'image=YOUR_IMAGE_URL' \
-H 'api-key:YOUR_API_KEY' \
https://api.deepai.org/api/toonify
Toonify cURL Examples
# Example posting a image URL:
curl \
-F 'image=YOUR_IMAGE_URL' \
-H 'api-key:YOUR_API_KEY' \
https://api.deepai.org/api/toonify
# 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/toonify
Toonify 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("toonify", {
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("toonify", {
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("toonify", {
image: fs.createReadStream("/path/to/your/file.jpg"),
});
console.log(resp);
})()
Toonify Python Examples
# Example posting a image URL:
import requests
r = requests.post(
"https://api.deepai.org/api/toonify",
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/toonify",
files={
'image': open('/path/to/your/file.jpg', 'rb'),
},
headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())
Toonify Ruby Examples
# Example posting a image URL:
require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/toonify', 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/toonify', timeout: 600,
headers: {'api-key' => 'YOUR_API_KEY'},
payload: {
'image' => File.new('/path/to/your/file.jpg'),
}
)
puts r
Toonify 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("toonify", 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("toonify", new {
image = File.OpenRead("C:\\path\\to\\your\\file.jpg"),
});
Console.Write(api.objectAsJsonString(resp));