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

It looks like the model is stumbling when it tries to calculate complex light interactions (caustics) with fine, volumetric, repeating textures. I suspect the neural network is either trying to cut corners to save resources by applying a procedural Voronoi (?) pattern, or it’s getting bogged down in these complex calculations and just outputting whatever is left over. These are just my assumptions. I tried this prompt, and here’s the result.

Prompt v 1 (click for more details)

Then I asked Qwen to analyze the image and look for solutions on the web. It cheated a bit by describing slightly larger obsidian shards and removing the dust, but the direct ban on repeating patterns seems to have worked. Either way, the quality of the second image is much higher.

Prompt v2 (click for more details)

Posting the second picture in the reply since I’m a new user and can only attach one media per post.