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[GH-ISSUE #10] FlashAttention 3 #3
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Comfy-Org/wheels#3
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Originally created by @woct0rdho on GitHub (Apr 15, 2026).
Original GitHub issue: https://github.com/Comfy-Org/wheels/issues/10
FlashAttention 3 exists and surprisingly not many people know it. It's mainly advertised to be fast on sm90 (H100), and in my benchmarks it's indeed a bit faster than FA2 on sm86 (RTX 3080), so it helps on consumer GPUs.
Some FA3 wheels are available at https://download.pytorch.org/whl/flash-attn-3/ . See the discussion in https://github.com/Dao-AILab/flash-attention/pull/2223 . The only thing missing is that they could not build wheel with Windows + cu130, and it has been fixed with the patch in https://github.com/windreamer/flash-attention3-wheels . This is worth tracking for us.
After we have the wheels, we can replace FA2 with FA3 on supported GPUs in ComfyUI.
@PixWizardry commented on GitHub (Apr 18, 2026):
I am running below environment, I tried the closes WHL from windreamer:
"flash_attn_3-3.0.0+20260330.cu130torch2110cxx11abitrue.98024f-cp39-abi3-win_amd64.whl"
but ended up with an error:
"flash_attn_3 failed to import: dynamic module does not define module export function (PyInit__C). Falling back to native attention."
Environment:
Python version: 3.13.11
Platform: Windows 11
PyTorch version: 2.11.0+cu130
CUDA version: 13.0
NVIDIA RTX PRO 6000 Blackwell
ComfyUI 0.19.2