RedKnot

Use when adding a new diffusion model or Diffusers pipeline to SGLang.

Use when optimizing an existing SGLang diffusion kernel with AKO4ALL, including AKO4ALL repo hygiene, custom microbench setup, ncu-guided iteration, and end-to-end denoise validation. Also use when a sibling AKO4ALL repo must be cloned or refreshed before starting kernel tuning work.

Use when benchmarking denoise latency or profiling a diffusion bottleneck in SGLang.

Use when quantizing a diffusion DiT with NVIDIA ModelOpt and making the resulting FP8 or NVFP4 checkpoint loadable, verifiable, and benchmarkable in SGLang Diffusion.

Use when choosing the fastest SGLang Diffusion flags for a model, GPU, and VRAM budget.