If you have been keen on the latest technological trends, you might have noticed that the term AI image generator has gained a lot of hype lately. This is especially the case in the digital art space, where a variety of tools are redefining how people and businesses interact with images, alter them, and even create them from scratch! AI image generators are tools that enable you to create images out of thin air by ‘speaking them into existence! They have such a wide use case, and maybe you have even seen some incredible creations by these tools on blogs and social media posts! But what are AI image generators? How do they operate? And how are they likely to impact digital art and photography? In this article, we answer these questions and more!
Blurring The Definition of Art?
There is a sea of information all over the internet, attempting to shed some light on AI image generators. Not much of it is easy to understand, and we hope that this article will be totally different! AI image generators have been on the technology scene for quite a while, but it’s only recently that many people are beginning to pay attention. Pioneer AI image generators like DALL-E and Stable Diffusion are being gradually succeeded by more fascinating tools such as Image Upscaler, which has some exciting features that you will want to try out after reading this article. But what are AI image generators, really?
AI image generators are computer programs that leverage the power of artificial intelligence (AI) to create images from scratch! These programs use algorithms, which make it easy for them to receive instructions in ‘text-to-art’ fashion and create new and amazing images never seen before. By simply typing a description of an image you desire to see, an AI image generator will create an image that is as accurate as a human-made image and for use in a blog, presentation, or even just flashing to your friends and family!
Novelty is The Name of The Game
AI image generators work through Diffusion Models, which are an alternative to the conventional Generative-adversarial Neural Network (GAN). These are models that operate based on probability and allow you to issue prompts by texting a description of the image you create. Just like human artists, AI image generators create images that are different from existing styles, forms, and subjects and which depart from what is commonly known to the public. Novelty reigns in the field of arts, and AI image generators are designed to conform to this reality. For example, there are AI image generators that work using algorithms known as the creative adversarial network.
This refers to a binary system of operation that compels the program to work in ‘opposition’ to each other. One part of the algorithm learns about as many existing images on the internet as possible, while the second penalizes the program in case it creates images that emulate an established style too closely. With that said, AI image generators also balance between this novelty and deviating too much from the norm. This ensures that the images generated are indeed novel but also do not depart too much from what is considered normal and acceptable based on images that already exist.
What The Future Holds for AI Image Generators
AI image generators are a fundamental part of the future of digital imagery. This technology will find most useful in areas such as creating images for 3D models, blog posts, and even advertising. There is also a good chance that image generation may spill over into the video editing space. Here, we might see AI image generators playing a key role in creating videos by allowing computers to generate movement and images for actors. Artists and designers can also alter images and polish their work. They will be able to give prompts to computers and have them generate an image that will set the foundation of their work. Once AI image generators create an image, the artist will then use her brush to add more detail and emphasis, making the image more realistic and accurate based on their intentions. If they prefer not to use a brush, they could simply give a more detailed prompt, and the AI image generator will do its job!
Limitations
AI image generators are still in their conception phase and have a lot to improve. For this reason, it is inevitable that these tools are limited in their uses and may be used for the wrong reasons. A case in point is the misuse by altering images generated by AI image generators to spread fake news to perpetuate fear! Notwithstanding, these kinds of limitations serve as a fertile ground on which better AI image generators will be designed and implemented, thereby solving this and many other complex problems.
Conclusion
The future of AI image generators is bright, and we will only see better use cases! The pace at which they have evolved in the last year is crazy, and we can only anticipate more fascinating features within these tools, especially in smartphones!
