triton-sageattention

# Triton + SageAttention (ComfyUI acceleration) > See also [`comfyui-launch-flags`](../comfyui-launch-flags/SKILL.md) for the full > attention / VRAM / cache flag matrix. Note the **Z-Image exception**: Z-Image is > broken under `--use-sage-attention` → launch it with > `--use-pytorch-cross-attention` instead. ## Overview Two **optional accelerators** that many modern video graphs (especially kijai's **ComfyUI-WanVideoWrapper**) reference by default: - **SageAttention** (`import sageattention`) — a quantized attention kernel. Selected via a node's `attention_mode = sageattn` (WanVideoWrapper) or ComfyUI's `--use-sage-attention` startup flag. ~20–40% faster sampling on supported NVIDIA GPUs. - **Triton** — the GPU kernel compiler that **inductor `torch.compile`** needs. WanVideoWrapper's `WanVideoTorchCompileSettings` (and any `torch.compile`/ inductor node) compiles the model through Triton for another speedup. > ⚠️ **The risk.** Both are **version-locked to your exact torch + CUDA + python**. > A wrong wheel doesn't just fail to install — it can **break the torch install** > (mismatched CUDA DLLs, `ImportError`, or silent NaNs). And the *failure mode of > not having them* is a **hard crash before any sampling**: > `ValueError: Can't import SageAttention: No module named 'sageattention'`, or > compile errors / `triton: unavailable` in the startup log. This is exactly the > [`video-extend`](../video-extend/SKILL.md) **TRAP 5**. > ✅ **Therefore the default is: g...