The technology behind AI image creation is rapidly advancing and becoming more and more sophisticated. AI image creation involves the use of artificial intelligence (AI) to generate visual images. AI image creation has become a popular tool used in the creation of digital images, and is used in a variety of applications, from video games to medical imaging. 

The primary technology behind AI image creation is deep learning. Deep learning is a branch of artificial intelligence based on algorithms that allow computers to learn from data without being explicitly programmed. This type of learning is based on a neural network, which is a network of interconnected layers of neurons that process data and pass it on to the next layer. 

Each layer of neurons is responsible for learning a specific task. For example, the first layer may be responsible for recognizing shapes, while the next layer may be responsible for recognizing objects. As the layers are stacked, the neural network becomes increasingly sophisticated and can recognize more complex patterns. The data used to train a deep learning network is usually images, or a set of images. 

The images are usually labeled with certain attributes, such as shapes, colors, textures, or objects. This data is then fed into the neural network, which builds a model of the image. Once the model is built, the AI can generate images based on the model. The images generated by AI are usually of high quality and look very realistic. This is due to the fact that the AI is able to make use of the data it has been trained on to create images that look as close to the originals as possible. 

AI image creation is used in many applications, from medical imaging to video games. AI image creation is becoming increasingly popular due to its ability to create realistic images quickly and with minimal effort. As technology continues to evolve, AI image creation will become even more sophisticated, allowing for even more realistic images to be created with minimal effort.