Collection of GPT-image-generator 2.0 prompting tips, issues and bugs

Here is a collection of tips and tricks and some weaknesses and limits too, focused on the technical part of the GPT-image-generator. It takes quite some time to realize relatively simple things. This might help save some time when experimenting. Ugly, broken, incorrect or boring test images are also allowed here. It is less about creativity, aesthetics and good ideas, and more about probing the models for weaknesses on a technical level.

The first post includes all the findings, and will be updated from time to time. I collected the findings on the first page. And if bugs are corrected, the text on the first page for them will be deleted.

Important:

• It is not a typical gallery. It analyses mainly technical problems, and tries to find workarounds if possible.
• There are no tips here for API or Python, only prompting for the image generator system itself.
• What we do not analyze are jailbreaks! Such posts will be deleted!
• We all do this here as a hobby, so be kind to each other.

You can find here an example of how it was done in the past, for older models. (click for more details) References and links, click to open it (click for more details)

Bugs:

• Noise Amplification: The generator keeps some data from the made images, and reuses it for the next images. This is the cause of a very bad bug. It amplifies noise patterns very quickly, after just 3-5 pictures, the images are destroyed. At the moment, the only workaround is to restart the session by reloading the web page.

• No unique pictures anymore in the same session: a related problem is now that it is not possible to make multiple different images with different seeds using the same prompt. Each time, the session must be renewed for a new picture.