Transform Your Black and White Images with AI

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Black and white images can have a timeless and classic look, but sometimes we want to see them in full color. Thanks to advances in artificial intelligence, it’s now possible to automatically add color to your black and white photos with stunning results. In this post, we’ll explore a program that uses AI to transform black and white images into colorful ones.

The program we’ll be discussing is an AI image colorization program. It uses advanced machine learning algorithms to analyze the grayscale values in an image and add color to it. The results are impressive, with the program accurately predicting and applying realistic colors to the image.

The program is easy to use, simply upload your black and white image to the program, and it will automatically convert it to a color image. The program also allows you to adjust the saturation and brightness of the colors if you want to fine-tune the results.

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There are many uses for this AI colorization program. It can be used to bring old family photos to life, giving them a new and vibrant look. It can also be used by artists and designers to create unique and eye-catching pieces. And for photographers, it can be a valuable tool for restoring old photos.

AI image colorization is an exciting new technology that allows us to see black and white photos in a new light. With the ability to transform old family photos, create unique art, and restore old images, the possibilities are endless. The program we discussed is just one example of the many AI-powered tools that are transforming the world of image editing. Give it a try and see how it can bring your black and white images to life!

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Transform Your Black and White Images with AI

Above program is not working Click Here


Code Example

Image Colorization cURL Examples
# Example posting a image URL:

curl \
    -F 'image=YOUR_IMAGE_URL' \
    -H 'api-key:quickstart-QUdJIGlzIGNvbWluZy4uLi4K' \
    https://api.deepai.org/api/colorizer 


# Example posting a local image file:

curl \
    -F 'image=@/path/to/your/file.jpg' \
    -H 'api-key:quickstart-QUdJIGlzIGNvbWluZy4uLi4K' \
    https://api.deepai.org/api/colorizer 

Image Colorization 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('quickstart-QUdJIGlzIGNvbWluZy4uLi4K');

(async function() {
    var resp = await deepai.callStandardApi("colorizer", {
            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('quickstart-QUdJIGlzIGNvbWluZy4uLi4K');

(async function() {
    var resp = await deepai.callStandardApi("colorizer", {
            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('quickstart-QUdJIGlzIGNvbWluZy4uLi4K');

(async function() {
    var resp = await deepai.callStandardApi("colorizer", {
            image: fs.createReadStream("/path/to/your/file.jpg"),
    });
    console.log(resp);
})()

Image Colorization Python Examples
# Example posting a image URL:

import requests
r = requests.post(
    "https://api.deepai.org/api/colorizer",
    data={
        'image': 'YOUR_IMAGE_URL',
    },
    headers={'api-key': 'quickstart-QUdJIGlzIGNvbWluZy4uLi4K'}
)
print(r.json())


# Example posting a local image file:

import requests
r = requests.post(
    "https://api.deepai.org/api/colorizer",
    files={
        'image': open('/path/to/your/file.jpg', 'rb'),
    },
    headers={'api-key': 'quickstart-QUdJIGlzIGNvbWluZy4uLi4K'}
)
print(r.json())

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