The best model for openpose / depth adherence

So I've been trying zit and flux2 Klein with control nets for depth and openpose and found the results pretty disappointing - they do alright with upright poses like a wave or walking from a side view, but when you try something more complex or upside down (flip, cartwheel) they pretty much suck.

Are all models suffering this same fate? They can only handle upright poses? Surely there are models even if they are old and clunky which has been trained better to handle all sorts of rotations of a person?

Any pointers to get better results? Workflows that seem to help? Your ideal setup of models?

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@rStableDiffusion
Best local AI models for 16GB VRAM?
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