torch.OutOfMemoryError: Allocation on device

I'm desperate:
Crashes every second generation on a 4090 with 24G , sometimes even the pycache files are corrupted and have all to be deleted.
Sometimes even Segfaults occur.

Please return back to a state where a "creating", initiated by a click on the button, starts a creation run with just cleared (cuda) GPU Memory, respecting the GUI entry for "GPU Weights (MB)".

After that generation all used memory, CPU and GPU will be cleared again !!!

This enables us users that also use for example ollama to use it to enhance prompts etc. in the meanwhile.

Imho this is rule nr 1 for AI programs to be run on consumers boxes:
Always clear the memory you used for one task after that completely! to let the user also use other local AI Programs or Models that may also need to use many GPU resources.

Please.... I simply do not want to use comfy, I don't like it's interface

No files, tests, or entry points are named. Start by locating the generation and GPU-memory management paths, then determine how the GUI's "GPU Weights (MB)" setting is applied. Done means a button-triggered run avoids the reported allocation and crashes, and releases its CPU and GPU memory afterward.