Screened · automated checks passed

comfyui-launch-flags

from artokun/comfyui-mcp · ★ 387 on GitHub · found by our crawler 2026-07-07

What the author says it does

Pick the right ComfyUI startup flags for VRAM, attention, caching, and speed — the full decision matrix for OOM (--novram / --cache-none / --disable-smart-memory), shared-VRAM creep on Windows (--reserve-vram N), model-switching with big text encoders (--cache-none), high-VRAM throughput (--gpu-only / --highvram), and attention-backend selection (--use-sage-attention for speed, --use-pytorch-cross-attention as the highest-quality / Z-Image-safe fallback). Also the acceleration-stack + Blackwell/RTX 5000 (sm_120) notes. Use when a graph OOMs (especially long video like LTX 2 / WAN), when the GPU spills into shared VRAM and slows to a crawl, when switching between models eats all RAM, when Z-Image produces black/garbled output under Sage, or when deciding which attention backend to launch with. Flag names verified against upstream comfy/cli_args.py — see Sources.

Quoted from the skill's own SKILL.md trigger description — this is what tells Claude when to activate it. Not yet verified by us.

Automated screening

100/100 validator score

Scored by the same rules as our free SKILL.md validator: trigger description quality, body substance, structure. Automated — a human bench test is the next step in the pipeline.

Install (unverified — review first)

git clone https://github.com/artokun/comfyui-mcp
# skill lives at: plugin/skills/comfyui-launch-flags/SKILL.md

SkillProof status

This skill is in our test queue. We install every skill in a clean environment, run a trigger battery and score output against a baseline before it earns a catalog page — the full protocol is public. Until then, treat it like any unreviewed dependency: read the SKILL.md and any scripts before installing.

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