

Image generation uses DallE and is not Baked into the model.
All it does is give it a prompt. Generates and shows you the results for that prompt.
You can click the pictures to see that prompt and you will see that it verbosely requested it overflowing but dalle does not always interpret that prompt the same, actually i found llms rather suck at prompting image generation models because they behave very strongly on certain words.
A similar experiment was done with “street with no lanterns” always resulting in a lantern.
Lanterns of course.
Would take an image generation model at least 3 steps which it doesn’t have right now.
A review step to see if the output matches the prompt.
A identification step to detect elements that don’t match
A redo step to mix that area in the background image (remove) or regenerates an improvement.
Right now you cant iterate on images. Every minor tweak is a completely new image. At least not with dalle because you cant control the seed.