Tutorial For Installing Sage and Triton to ComfyUI Portable. Gave Me A 40% Speed Boost On Minimax H3 4-Step Workflow

I know Sage and Triton are nothing new but if you're a beginner or doing a fresh re-install like me, these resources helped me get faster gens on the 4-step turbo workflow I use (will post a link to the workflow lower down in the post here. The below YouTube video helped me get the main files installed: https://youtu.be/7ZDi2CwkS5U However I still did not fully get Sage to work until I followed these additional steps from Claude AI after getting some error logs in my SLA workflow (link to workflow at bottom of this post): ~~~FROM CLAUDE, AFTER FEEDING IT MY ERROR LOGS:~~~ Diagnosing a compiler error blocking kernel compilation. This one's a real (but non-fatal) problem — it's why you're silently falling back to slower attention. Root cause: SageAttention needs Triton to JIT-compile a small CUDA helper (cuda_utils.c) at runtime. Triton's portable build uses tcc (Tiny C Compiler) to do this instead of MSVC. But your embedded Python distro (python_embeded) doesn't include the Python.h header or matching libs/, include/ folders that a normal Python installation has — so the compile step fails immediately at #include Python.h. That failure is caught, ComfyUI/Triton logs the error, and silently falls back to PyTorch attention — which is why your first message ("sage attention running on startup") was misleading: it's only attempting to use it, not confirming it works. Generations still complete because of the fallback, just without SageAttention's speed benefit. How to actually fix it — add the missing Python dev headers to your embedded Python: Check your embedded Python version — your paths show cp313, so Python 3.13. Download the matching regular (non-embeddable) CPython 3.13 Windows installer from python.org (does not need to be installed system-wide — you just need the files). From that install (or by installing it to a throwaway location), copy: include folder → into C:AiComfyUI_Portable3ComfyUI_windows_portablepython_embededinclude libs folder → into C:AiComfyUI_Portable3ComfyUI_windows_portablepython_embededlibs Restart ComfyUI and try a generation again — watch for the [ERROR] Error running sage attention line; it should disappear. ~~~END OF CLAUDE OUTPUT~~~ I had to ask Claude to break some of the steps down, but I basically just had to do the first 4. MINIMAX H3 4-STEP WORKFLOW RESOURCES: A walkthrough of the workflow is here (MAKE SURE YOU WATCH IN FULL): https://www.youtube.com/watch?v=4AqLGMkJwUQ The main model used is here: https://huggingface.co/MATLOWAI/minimax-h3-fused-turbo-int8-convrot A link to the workflow is here (the same model is used in all workflows): https://github.com/amao2001/ganloss-latent-space/tree/main/workflow/2026-09-07%20minnimax%20fused%20turbo submitted by /u/DeltaWaffleSyrup [link] [comments]

Source: r/StableDiffusion | 2026-09-14