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`, so launch it with > `--use-pytorch-cross-attention` instead. ## Prefer kitchen INT8 attention when it is available If `kitchen` action:"status" (or `panel_kitchen`) reports kitchen present and `int8_attention_is_available` on this GPU, launch with **`--use-ck-attention`** and **skip the sageattention wheel dance**. Kitchen INT8 attention is a ComfyUI flag; it does not need a version-matched `sageattention` wheel. Restart required, consent-gated like every restart. Only fall through to the Triton + SageAttention install below when kitchen INT8 is **unknown** or **not available**. A failed kitchen probe is unknown, not a no. ## 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 to 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 ...