h100-diffusers-kernels
CommunityBoost CUDA kernels for Diffusers on H100
Authorburtenshaw
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides patterns and guidance for writing optimized CUDA kernels on NVIDIA H100 GPUs (sm_90) to maximize performance of diffusion models using the HuggingFace diffusers library.
Core Features & Use Cases
- Kernel templates and patterns for RMSNorm, RoPE (1D/3D), GEGLU, SwiGLU, and AdaLN tailored to H100.
- Diffusers integration guidance for LTX-Video, Stable Diffusion, and DiT, including PyTorch bindings and example workflows.
- Performance optimization guidance covering block sizes, shared memory usage, memory bandwidth considerations, and profiling commands.
Quick Start
Install the minimal working patch example, load the LTX-Video pipeline on CUDA, and run the kernel injection flow to apply the optimized kernels.
Dependency Matrix
Required Modules
torchdiffusersltx_kernels
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: h100-diffusers-kernels Download link: https://github.com/burtenshaw/kernel-skill/archive/main.zip#h100-diffusers-kernels Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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