How Are AI Paintings Made?
In the recent past, artificial intelligence (AI) was only common in a few select areas of industry. But today, almost all industries have adopted this technology to streamline complex tasks, and one of the latest industries to incorporate AI into their operations is the art industry.
Many artists are now using AI art generators like DALL-E to create various pieces of art like paintings and images. These generators are neural networks that can be trained to create nearly any desired image. So, how are AI paintings made? In this article, you’ll learn how neural networks make art.
What Are AI Paintings and How Are They Created?
AI paintings are canvases created using artificial intelligence programs like DALL-E from OpenAI. These programs use algorithms that can be trained and commanded through text prompts to generate the desired paintings. Through machine learning (ML), your AI art generator will learn how to perform different tasks involved in generating art.
The user only needs to feed their AI program with a set of data, such as images and paintings, to help it understand the different components of artwork and how to apply them in various projects. For instance, if you train your AI art generator on numerous images from the Middle Ages, it will learn how these images are composed and reproduce a painting that resembles images from the Renaissance.
This concept has created a serious debate about replacing creativity, and the important question that many are asking is: Will AI replace human artists?
The truth is, AI art generators can’t replace human artists (yet) because they aren’t autonomous–they rely on human artists to come up with artistic ideas. Without training and text prompts, these AI models can’t generate paintings of their own. So, the creativity of human artists is still essential.
Software engineers have also developed AI art generators that don’t primarily focus on cohesiveness with certain genres. These models simply figure out the core elements of the paintings they’re working on and apply their knowledge to generate paintings that are similar but have different styles.
Is an AI Painting Really Art?
This is another major area of discussion, as some people argue that an AI painting isn’t art because it has been generated by an algorithm. However, this type of painting is indeed art, because the AI art generator relies on your creative input to generate the desired painting. Whether you train the system on existing paintings or feed it with a text prompt, you are simply commanding it to create what you have in mind.
When you feed your AI program with a set of data for training purposes, you are creating a generative adversarial network (GAN). This model uses two forms of neural networks, similar to how a human brain thinks. One form of the neural network creates new things, while the other one checks the output against what it has been trained on to ensure consistency.
The other option is where the AI model develops its style, commonly referred to as the creative adversarial network (CAN). This form of the neural network doesn’t check for consistency. Instead, it generates a painting that is different from the genres familiar to it. However, learning to reproduce paintings doesn’t demonstrate computer creativity–it proves the model’s ability to comprehend the visual elements of a painting and systematically package them into a new canvas.
Lastly, many of the latest AI art generators can create original paintings with the same quality as those created by hand. Fortunately, you don’t need any coding skills to use these AI programs. So, if you would like to generate more unique paintings in a short period of time, using an AI art generator is a great idea.