Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLIAbout this skill
Guide for achieving optimal inference performance with vLLM-Omni diffusion models. Covers all lossless and lossy optimization methods (parallelism, torch.compile, CPU offload, quantization, cache acceleration), per-model support tables, and ready-to-use recipes. Use when asked to speed up diffusion inference, reduce latency, lower VRAM usage, or tune a diffusion pipeline.
Quick start
- Copy the install prompt. Use the green button above this README.
- Send it to your agent. Paste it into your coding agent’s chat and send.
- Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
Review the source before using this skill
This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.
Automated security scan: Partial
Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.
0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1
Content SHA-256: f00246604447f5f02108822a65c3eb1a20a6d9fed38680c669ced2127ea439b0
About this listing
- Category
- General
- Reported license
- Apache-2.0
- Listing language (estimated)
- English
- Review status
- Not individually reviewed
- Agent compatibility
- Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.