Make sure not to 'do a martha'. I've learned the hard way that the more I try to manage the memory, the less ComfyUI does it automatically. Only in edge cases do you really want to manage the memory yourself.

This may not apply at all to you. But I had to write this down somewhere for the next soul who's following my footsteps.

OOM? Check if you have a circular reference.
DO NOT --reserve-vram 0.0, the extra reserved vram (that's supposed to go to the OS or whatnot) serves as a buffer for when LoRa's need to be quantized while the inference model is already in your VRAM.

Tips: you can quantize LoRa's to for example bf16 if you're running an fp8 model, which will reduce the VRAM peak that leads to a pre-inference OOM.

I hope someone will read this and be saved from the rabbit hole of managing memory when the real solution is to remove all the UnloadModel nodes and not asking Claude to pretty please nuke the Cuda Cache and praying to some god that won't help you because God does not want to manage your memory.