Maybe you just don't understand the optimization, bro. /s

>looking at github repo >no actual source code >only a readme >the code is included in the release tag Imma be honest chief, this don't look promising.

Create some very generic things even though you have a good reference.

It's the Comic Sans age of "AI", these are all explicit (presented by the AI provider as such) or implicit (from the model training) presets. One reason is the provider thinks some presets create fewer errors than others. It's funny how each generation of e.g. the OpenAI/ChatGPT image tool produces its own distinct look that has nothing to do with the one from the previous iteration. If you try to prompt a different style it just looks more like a filter applied. Things have been slowly getting better in that regard though.