diffusion-kernel

name	diffusion-kernel
description	Index for SGLang Diffusion kernel development skills.

Diffusion Kernel Skills

Directory Layout

python/sglang/multimodal_gen/.claude/skills/diffusion-kernel/
├── SKILL.md
├── add-triton-kernel.md
├── diffusion-benchmark-and-profile.md
├── nsight-profiler.md
└── use-efficient-diffusion-kernels.md

Index

• add-triton-kernel.md

  Step-by-step guide for adding a new Triton kernel to SGLang Diffusion's jit_kernel module, including authoring, autotune, torch.compile compatibility, integration, and tests.

• use-efficient-diffusion-kernels.md

  Practical guidance for using SGLang Diffusion fused kernels and fast CUDA paths, including constraints, fallbacks, and where the fused ops are wired into the runtime.

• diffusion-benchmark-and-profile.md

  End-to-end benchmarking and profiling guide for SGLang Diffusion models, including denoise latency measurement, per-layer breakdown, and regression tracking.

• nsight-profiler.md

  Advanced profiling skill for NVIDIA Nsight Systems / Nsight Compute: collecting traces, reading reports, and interpreting kernel-level performance metrics.