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CNNMRF API

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Transfers the style from one image onto the content of another image.



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

CNNMRF API Documentation

Pricing: $5 per 100 API calls

CNNMRF cURL Examples

# Example posting a image URL:

curl \
    -F 'content=YOUR_IMAGE_URL' \
    -F 'style=YOUR_IMAGE_URL' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/CNNMRF 


# Example posting a local image file:

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

CNNMRF 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("CNNMRF", {
            content: "YOUR_IMAGE_URL",
            style: "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("CNNMRF", {
            content: document.getElementById('yourFileInputId'),
            style: 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("CNNMRF", {
            content: fs.createReadStream("/path/to/your/file.jpg"),
            style: fs.createReadStream("/path/to/your/file.jpg"),
    });
    console.log(resp);
})()

CNNMRF Python Examples

# Example posting a image URL:

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

CNNMRF Ruby Examples

# Example posting a image URL:

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

CNNMRF 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("CNNMRF", new {
        content = "YOUR_IMAGE_URL",
        style = "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("CNNMRF", new {
        content = File.OpenRead("C:\\path\\to\\your\\file.jpg"),
        style = File.OpenRead("C:\\path\\to\\your\\file.jpg"),
});
Console.Write(api.objectAsJsonString(resp));