sol-attn

Here are 2 public repositories matching this topic...

Saganaki22 / ComfyUI-sol-attn

NVIDIA Sol-Attn for ComfyUI / Triton kernel on SM89/SM90/SM100/SM120, with zero-copy MiniMax H3 nodes: memory-efficient attention, scheduled tau with graph preview, and feed-forward chunking. Measured 1.14–1.44× vs SageAttention and −37% MLP peak VRAM on H3

triton attention video-generation memory-optimization diffusion-models blackwell memory-op sparse-attention comfyui sageattention comfyui-custom-nodes trito minimax-h3 sol-attn

Updated Aug 4, 2026
Python

sumeetprashant / ComfyUI-SolAttn

Star

NVIDIA's Sol-Attn training-free sparse attention as an opt-in ComfyUI model patch - including consumer Blackwell (SM120 / RTX 50-series), which upstream gates off.

triton attention diffusion video-generation blackwell sparse-attention comfyui rtx-5090 minimax-h3 sol-attn

Updated Aug 4, 2026
Python

Improve this page

Add a description, image, and links to the sol-attn topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the sol-attn topic, visit your repo's landing page and select "manage topics."

Learn more