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Get Started Free →artokun/comfyui-launch-flags
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/
Passed 20 of 22 test cases with the skill, and 7 of 22 without it.
and 19 more in the full report
13 fixed7 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
I am running an 8GB GPU that runs out of VRAM during model loading when generating images. What standard mutually exclusive VRAM strategy flag offloads text encoders and minor components to CPU while keeping primary model weights on GPU?
| Checked | Without skill | With skill |
|---|---|---|
| Recommends `--lowvram` for mid-tier GPU offloading. | Missed | Passed |
| Explains that lowvram offloads auxiliary components like text encoders to system memory. | Missed | Passed |
The instructions your model reads when the skill loads.
CLI flags passed to main.py control ComfyUI's runtime behavior
(e.g. python main.py --reserve-vram 2 --use-sage-attention). The three that
matter most for making a graph run rather than OOM or crawl are the
VRAM strategy, the attention backend, and the cache mode. This skill
is the decision matrix for choosing them.
⚠️ Verification note (August 2026). Every flag below was checked against upstream
comfy/cli_args.pyon current master. ComfyUI adds/renames flags often — when in doubt runpython main.py --helpin the target install and prefer that over this list.--enable-triton-backend/--disable-triton-backendARE ComfyUImain.pyflags on master (they used to be documented as SwarmUI-only; that is stale).--use-ck-attentionis kitchen INT8 attention — nosageattentionwheel. A June ComfyUI checkout still pins comfy-kitchen 0.2.10 and lacks--use-ck-attention;kitchenaction:"status" reports ComfyUI-side flag support, not only the kitchen version. Usekitchen/panel_kitchento see what this GPU can actually run.
How to apply today. The MCP's
restart_comfyui(withaction: "start") currently replays the exact argv of the previous run. It does not compose fresh flags. So set these when you launch ComfyUI yourself (thepython main.py …line, arun.bat/shell alias, or the SwarmUI backend args box), and the tool will preserve them on restart. Injecting flags through the tool is a tracked follow-up.
Symptom ▶ Flag(s) to try
─────────────────────────────────────────────────────────────────────────────
CUDA out of memory, long video (LTX 2 / WAN) ▶ --novram (+ --cache-none)
OOM, still want models resident when they fit ▶ --reserve-vram N then --disable-smart-memory
GPU slows to a crawl, spills into "shared GPU ▶ --reserve-vram 2..4
memory" (Windows WDDM) mid-run
test cases passed, vs 7 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.