GLIGEN gives you more control over AI image generation

In current models, the only way to describe where an object should be placed in an AI image is with text – with only moderate success. Researchers now present a model that uses bounding boxes. AI image generation has rapidly evolved from diffuse visualizations to very concrete, sometimes even photorealistic results. The more detailed the specification, the better the generation can be influenced. Although details of the image composition can be described with text, such as where an object should be placed, these details are often only moderately implemented.