Collection of GPT-image-generator 2.0 issues, bugs, and work-around tips (check first post)

If you should be a little interested in the technology: these AI systems do not calculate light or caustics effects like a ray tracer.

In principle, it works in such a way that they analyze an extremely large number of images for patterns and assign them to words. And then from these patterns, they can reconstruct entirely new patterns and so images.

So it does not matter how complex an image would be for a ray tracer, but whether the engine manages to organize the patterns in such a way that they result in an aesthetic image, and follow the prompt as well as possible.

(It is also important whether an image is the first one in a session / after restarting the window, or whether many have already been made. The first images are often a little better than the following ones.)

I will look at the two prompts as soon as I have time and analyze the differences…