Whether you’re looking for new imagery to add to your website or social media content, or you’re trying to find a way to make your existing visuals more unique, AI image generators can be powerful tools. But, like any other tool, it’s important to know how to use them well—especially since the ai image generators currently on the market aren’t all created equal. In this article, we’ll provide a quick overview of the key text-to-image AI players and offer some tips for using them to get the most out of them.
Most AI image generators require a specific input format in order to generate images. This may include a full sentence, a list of keywords, or an image reference. The image generated will be based on the combination of the text and image reference, which can lead to a wide variety of results.
The type of image generated also depends on the algorithm used by the AI. Several different algorithms exist, such as variational autoencoders (VAEs), neural style transfer (NST), and diffusion models. Each has its own strengths and weaknesses, and they can be adapted to produce a range of styles.
The ability to customize the output of an AI image generator is a significant advantage over traditional stock photos. However, it’s important to understand that the AI will still be limited by its training data. For example, it’s difficult for AI to accurately represent hand gestures with the correct number of fingers. As a result, AI-generated hands often look misshapen or have more or less fingers than they should. ai image generator