🛠️ I Built a One-Click ComfyUI Setup for RTX 5090 on Windows — No WSL2, No Docker

I bought an RTX 5090. 32GB VRAM. The most powerful consumer GPU on the planet. Then I tried to run ComfyUI on Windows. It broke immediately. RuntimeError: sm_120 is not compatible Three days later, I had a fully working solution. I packaged it and open-sourced it: ComfyUI-Win-Blackwell Here's the whole story. Why RTX 50-series Breaks Everything NVIDIA's Blackwell architecture (RTX 5090/5080/5070) uses a new compute capability code called sm_120 . The problem? PyTorch's stable release doesn't include kernels for it. This means: pip install torch → doesn't work on Blackwell You need PyTorch nightly with CUDA 13.0 (cu130) But then xformers (the standard ComfyUI speed boost) forces PyTorch back to stable And custom nodes silently pull stable PyTorch through their dependencies It's a dependency trap. Every fix creates a new problem. The 5 Rules I Discovered After 3 days of trial and error, I distilled everything into 5 rules. Break any one of them and your environment dies. Rule 1: Use PyTo