Also seen as: "Wan slow after ComfyUI update", "GPU utilization 0% ComfyUI", "sageattention not loading after update", "ComfyUI slow after Update All"
Direct answer
Wan (or any diffusion model) that was fast suddenly crawls at 0–20% GPU after a ComfyUI "Update All". The usual cause is that the update broke the compiled attention backend — sage/flash-attention was built against the old torch — so ComfyUI silently fell back to slow PyTorch attention. Low GPU utilization on a card that fits the model means it is CPU-bound, not out of VRAM.
Not sure this workflow will run before you rent a GPU?
Paste your ComfyUI workflow JSON into the free checker — it flags missing nodes, model requirements, and the VRAM/GPU you actually need. No signup.
"Update All" bumped ComfyUI (and often torch), leaving the sageattention/flash-attention wheel pinned to the previous torch — it fails to load and Comfy falls back to slow SDPA attention.
Roll ComfyUI back to the pre-update commit — Manager keeps a snapshot; git checkout that commit instead of migrating nodes one at a time. To stay updated, reinstall a sageattention/flash-attention wheel that matches the NEW torch, and confirm it loads at startup (Comfy logs the attention backend).