Building an Artistic Image Generation Model: Neural Style Transfer:

Learn how to build an artistic image generation model using PyTorch

Photo by Richard Horvath on Unsplash

Neural Style Transfer is a technique in deep learning that allows us to generate artistic images by combining the content of one image and the style of another.

Let’s walk through the process of building an artistic image generation model using PyTorch.

Prerequisites

To follow along with this tutorial, you should have a basic understanding of Python and deep learning concepts. You should also have the following libraries installed:

• PyTorch
• TorchVision
• NumPy
• Matplotlib

Step 1: Load the Images

The first step in building our Neural Style Transfer model is to load the content and style images that we will use. We will use the TorchVision library to load the images.

import torch
import torchvision.transforms as transforms
from PIL import Image

# Load the content and style images
content_img = Image.open("content.jpg")
style_img = Image.open("style.jpg")

# Define the transformations to be applied to the images
transform = transforms.Compose([…