Skill Claude CodeCodex
Use when adding a new diffusion model or Diffusers pipeline to SGLang.
SGLang is a high-performance serving framework for large language models and multimodal models.
SGLang is a framework for running inference for large language models and multimodal models, meaning it processes inputs to produce model outputs such as text or other media. It is used to serve and accelerate open AI models and related workloads.
This repository also configures its own agents. See what sglang tells them →
Skill Claude CodeCodex
Use when adding a new diffusion model or Diffusers pipeline to SGLang.
Skill Claude CodeCodex
Use when benchmarking denoise latency or profiling a diffusion bottleneck in SGLang.
Skill Claude CodeCodex
Use when quantizing a diffusion DiT with NVIDIA ModelOpt and making the resulting FP8 or NVFP4 checkpoint loadable, verifiable, and benchmarkable in SGLang Diffusion.
Skill Claude CodeCodex needs its repo
Use when choosing the fastest SGLang Diffusion flags for a model, GPU, and VRAM budget.
Skill Claude Code needs its repo
Workflow for upgrading/integrating cache-dit in SGLang diffusion (multimodalgen): DBCache, DMD calibrator, TaylorSeer, SVDQuant DQ; porting upstream PRs and resolving conflicts against the per-request knob system; adding new cache knobs; building the sglang generate CLI test matrix; precision validation (PSNR / log…
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: