How Does AI Art Work? The Reality for Beginners

AI is all about creating and implementing different algorithms and computer systems. These systems can perform human-like tasks in a few seconds (no waiting for hours). These systems get training in the face of large datasets. This training helps them resolve problems, learn new things, and give reasoning. In fact, it helps with making decisions –better decisions as compared to humans. 

There are various technologies in it, such as image generation, machine learning, and NLP. These technologies can automate tasks by adapting because they use data analysis. Not to forget, they recognize patterns. As a result, it’s easier for humans to complete their tasks with the help of machines. 

Having said that, this technology is advancing in every industry, including arts and creative. That’s the reason we are sharing how does AI art work.

What is AI Art?

If you have baffled and wondering, “What is AI drawing?” this is a good place. AI art or drawing is the process of creating art be leveraging the power of AI. It can assist in quickening up the image generation process through automation. For this reason, it can help with creating music, writing amazing pieces, and building websites. 

Many people confuse AI art with digital art, but that’s not the correct approach. This is because digital art is created by humans, and they use their own creative skills. On the contrary, AI art algorithm is being used by people with limited creativity. It helps them create art with the help of text descriptions.


You’d think that AI art came out in 2020, but you can trace it back to 173. In particular, Harold Cohen used AARON, the first-ever AI art app. After 41 years, GANs (generative adversarial networks) were launched. It wasn’t solely for creating art, but it has played a huge role in creating art. This happened in 2014. 

Then, in 2015, computer scientists started training computer systems to make art with text prompts. For this purpose, they reversed the image-to-text process. For instance, our smartphones can identify different items in pictures and categorize them. 

Fast forward to 2021, Open AI took the plunge and launched DALL-E. This tool is trained on millions and billions of concepts and pictures. This led to the new wave of craze for generating pictures through prompts. After this, in 2022, many developers started creating AI art generators. Similarly, it led to the launch of Midjourney. 

How Does AI Make Art?

For the AI tool to understand different types of prompts, it uses the neural network. This network is basically a never-ending data of images. There are millions of text descriptions and images. The training models also use scraps of different text descriptions, titles, captions, and alt tags. However, the images don’t come from training sets. 

Instead, it uses the latent space of a deep learning system. They don’t see images like humans. In particular, these models see RGB pixels, which is the short form for red, green, and blue pixels. Once the tool has understood the prompt, you will see images as a result. 

To illustrate, the systems take a simple guess from the text prompts. After this, it keeps running the searches to make the right pictures. In addition, there are different variables that help find metrics to match the text prompts. 

For instance, if you’ve asked to create a huge red building. The system will process the information while considering different variables of the red building. It includes the shale, height, windows, doors, and more. As a result, it creates the image that it considers a huge red building.

How Does It Create Output?

Since the algorithms keep going through training data, they keep searching for different variables to make the results better. Consequently, it creates a result (art) that has all these points. For instance, with the huge red building example. The AI tool will put the building in one dimension, red color in the second, and then make dimensions for the building. It’s known as creating the latent space. When you’re more descriptive with the words, it will work on more dimensions.

Before completing the output, diffusion happens. To illustrate, it uses the text description and dimensions to create a random image. Then, it starts making improvements. Every adjustment helps refine the images, so the output is closest to the description.

Understanding Diffusion

When we think about the huge red building, there will be millions of such pictures. So, the systems will analyze all these data points and create a picture of the building. Diffusion is the process of adding different changes or transformations to the picture, which enhances the noise. In addition, the images start looking different from the original ones, leading to a unique yet generated picture of the building.

Different Forms of AI Art Programs 

Generative AI is more than creating images. To illustrate, it’s a reliable way of creating videos, avatars, logos, and image editing. So, let’s talk more about these forms below!


As the name suggests, these tools create avatars for live streaming, gaming, and social media. There are multiple tools that use text-to-image systems. However, there are tools that turn your pictures into avatars (Lensa is a fitting example). They are available in the form of VAs and chatbots – the purpose is to understand the prompts and provide a helpful result. People usually use it for 3D avatars, which can be used as gaming avatars and AVIs. For example, with PicsArt, you can upload over 30 pictures of yourself, and it will customize the avatar.


It is a tedious and never-ending process to create a video for websites or presentations. For this reason, the use of AI video generators is increasing. Pictory is a good example, as it helps make marketing videos within a few minutes (it saves you weeks of headaches). In fact, you can add the link to some written post on this platform, and it will create a fully immersive video.


If you’re working as a logo designer and need some inspiration, you can get help from AI logos. In fact, it’s a great tool for small businesses to make their own logos without paying anyone. Wix Logo Generator is a clear example. It’s integrated into the website builder and creates a new logo.

Music Generators

This is a huge leap for AI. That’s because it’s helping content creators make songs and tracks for their projects in an easy and quick way. Mubert is a good example with which you can make money and music at once. To illustrate, you’ve the option to create a song through a text prompt and sell it on the marketplace (yes, this tool has its own marketplace).

Photo Editing 

This is a reliable use case. It’s perfect for enhancing, modifying, and manipulating the images. Many people are using it to upscale the images (it’s a better and automated version of Photoshop). In fact, Photoshop has the text-to-image fill, so you can remove or add elements and generate new pictures through prompts. Another feature is to extend the canvas as you want.

Website Builder 

Not everyone is skilled enough to launch their own website. Contrarily, we know people who have the skills, but they don’t have the time. For all those people, there are website builders with AI infusion. Framer AI is a good example, as it can help launch a new website and handling the development.

How to Align with Ethics While Making AI Art?

There are many ethical points to consider when making AI art. This is because there are many legal consequences of showing or selling AI content because it’s a copyright violation. Adobe Firefly has been considering this point. We are saying this because they trained their models on only royalty-free images, so they won’t get into legal hot waters. Also, they’ve mentioned that all the pictures generated from their platform are only meant for entertainment purposes. 

For this reason, whenever you’re about to use some AI tool, you’ve to read about how they were trained. In particular, if you want to use the art for commercial means, see if the platform supports it. In most cases, it’s possible if you’ve subscribed to the paid plan, but don’t forget to double-check it.

Important Features for AI Art Generators

There are multiple features for these AI tools to make sure their results have a visual appeal. So, let’s see what some of these features are!

Realistic Rendering 

The high-end tools often create extremely realistic pictures, and realistic rendering is the reason behind it. With this feature, the tools can easily replicate the important points of the input picture, so the output is on point.

Generative Algorithms

Depending on the input data, these tools can create new artwork. That’s because they use generative algorithms. With this feature, the algorithm is trained on current data and data is used to generate new pictures. The output pictures are fresh, new, and unique.

Creative Tools 

These tools are meant to let people experiment with the results and images. For instance, users can adjust the pictures and modify the colors. The most common tools include adjusting the brightness, sharpness, contrast, and saturation.

Interactive Interface

To make sure that the tools are adapted by more people, these tools have extremely intuitive and interactive interfaces. This means that you’ve the option to manipulate or edit your pictures as you want. The interactive features allow the users to modify pictures in real-time and add filters. Moreover, you can preview the output after editing. It’s a great way of letting people show off their creativity.

Frequently Asked Questions

Should I call AI art the new art?

Yes, it’s the real art. There is a lot of debate on it, but it only uses training data as inspiration. The output images are made from scratch. 

Can we own the AI art?

Yes, if you are using the paid plans. There are many tools, and if you download the art after paying the fee, you’ve the copyright. 

Is it true that tools can be used to detect AI art?

Of course, there are multiple tools to detect the authenticity of AI art. These tools employ machine learning and image analysis. However, these tools aren’t always 100% correct. 

Why is everyone so negative towards AI art?

The artists are against it because they think AI art doesn’t have any depth or creativity. In addition, many people are double-minded about copyright infringement. 

Will AI art become a threat to local artists?

AI art can be used to expand one’s career if it’s used strategically. Truth be told, it can sideline the mediocre artists. However, the top-notch artists don’t have to worry.

The Bottom Line

It’s clear that you know how does AI make art. It shows that it has a lot of potential. It can surely transform our art industry. In particular, it can help people with vision make transformational art, so no one is left behind because they aren’t good with colors or shapes. However, it falls on us to use ethically correct tools. Also, don’t pirate anyone’s art because there’s no art without uniqueness and your creative process.

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