Install Triton + SageAttention to accelerate ComfyUI (the sageattn attention_mode and inductor torch.compile used by WanVideoWrapper / many video graphs) — Windows-first (triton-windows + woct0rdho prebuilt SageAttention wheels matched to torch/CUDA/python into the RIGHT python), plus Linux (official triton + build) and Mac (N/A → sdpa/MPS). Critically also covers the SAFE sdpa / no-compile fallback so an example that assumes sageattn + torch.compile still runs when these aren't installed (video-extend TRAP 5). Use when a loader crashes with "No module named 'sageattention'" / "triton: unavailable", when asked to speed up Wan/video workflows, or when deciding whether to install acceleration vs. fall back.
$npx -y skills add artokun/comfyui-mcp --skill triton-sageattentionInstalls into the current project.
Run `npx skills use "https://github.com/artokun/comfyui-mcp" --skill "artokun/comfyui-mcp/triton-sageattention"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/artokun/comfyui-mcp" that are relevant to the current task. Run `npx skills add "https://github.com/artokun/comfyui-mcp"` and select the relevant skills, then follow their instructions.