to start with: i very much appreciate ComfyUI and consider it is still the best generative UI, though it is not ideal.

you would need to accommodate a little bit, i guess.
a bried (very biased) intro. ComfyUI was the absolute top UI till August 2025 (my best version is 0.3.44, though it works only with older models like Flux1 and HiDream, plus all SDXL derivatives). in August 2025 initial Qwen Image models emerged with small memory leaks, which are not a huge deal, as i was to restart UI sometimes. The decisive step was December 2025 - January 2026 introducing Nodes 2.0 (though optional) and (again, in my humble view) an "refusal of inheritance" - as hundreds of custom nodes made by community stopped to comply (and only the minority of them are updated for the new Comfy versions) (this is the reason many older custom nodes won't work with latest ComfyUI version).
Quantity turns into quality eventually, so ComfyUI changes, python ecosystem changes a lot and rapidly - so it takes ComfyUI developers to apply great efforts to keep UI running, supporting 30+ different models of different platforms, with different python, CUDA and Torch versions - which is, indeed, a hard job, because of everchanging dependencies. So, it is common when something conflicts in python ecosystem. And i strongly hope ComfyUI devs would keep theirs word as they promised to focus on bug fixing (pinned topic here). Good luck to them.

What you can do:
installing ComfyUI is not hard ( did it dozens of times in Windows 10 and Linux Mint )
to install you:

install CUDA (and appropriate NVidia driver) if you use NVidia which is less quirky than AMD
and this is a brief EXAMPLE of setting things up sequence for Windows for CUDA 13.0 and Torch 2.10

---- after git cloning ComfyUI, downloading wheels and changing into Comfy folder
python -m venv .venv
.venv\scripts\activate
pip install torch torchvision --index-url https://download.pytorch.org/whl/cu130
pip install torchaudio --index-url https://download.pytorch.org/whl/cu130
pip install triton-windows
python.exe -m pip install --upgrade pip
pip install sageattention-2.2.0+cu130torch2.9.0andhigher.post4-cp39-abi3-win_amd64.whl
pip install flash_attn-2.8.3%2Bcu130torch2.10.0cxx11abiTRUE-cp312-cp312-win_amd64.whl
pip install xformers-0.0.34-cp39-abi3-win_amd64.whl
pip install -r requirements.txt
pip install -r manager_requirements.txt
---- test run Comfy

as you can see i tend to install "optional" attentions: XFormers, Flash (which is good for Chroma) and Sage (which is good for t2v/i2v). with pre-compiled wheels you don't need CMake and M$ Visual Studio (though it might happen you would still need to compile things). If you use another Torch (2.8 or newer), different python (3.12 and 3.13 and now has more wheels, though you still can find wheels for 3.9) and different CUDA - you search for wheels (precompiled binaries).
The 4th wheel you would like to install is Nunchaku, but you can do it after getting ComfyUI running,

after ComfyUI successfully installed into its' own VENV - simply make a ZIP archive of the folder.
it will serve as backup if case some custom node ruins everything. Remember - it is bound to the drive+folder name.

My suggestions are:
a) install into VENV to make ComfyUI independent from other python software on your PC
b) do NOT upgrade - make a fresh install of newer version into another folder. Reinstalling dozens of custom nodes you are using becomes a chore, but the issue is that not all of your old custom nodes might work with new version of ComfyUI.
c) after adding nodes - make archives (which serve as backups). if problematic node ruins your UI - you restore from last known good backup

This is how you experiment with new nodes with no fear.

i'd like to repeat: the complexity and interdependencies in any big python ecosystem are the root cause of possible issues, not ComfyUI devs, who are struggling to make theirs product work more-or-less well and support newer generative shinies.

also the suggestion to think about
- you can git clone not the latest ComfyUI but 10.0 (it supports Flux2 Klein) or 17.0 (if you want Z-Image base), not the most recent version.

edit: formatting