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9d7ece362d
Layers a programmatic hardware-feasibility check on top of the v4 skill
so the agent doesn't silently push users toward a local install they
can't actually run. The official comfy-cli supports --nvidia / --amd /
--m-series / --cpu, but has no guard against "4 GB laptop GPU on SDXL"
or "Intel Mac falling back to CPU" — both route to comfy-cli paths in
the original table and then fail on first workflow.
- scripts/hardware_check.py: detect OS/arch/GPU (NVIDIA nvidia-smi,
AMD rocm-smi, Apple M1+ via arm64+sysctl, Intel Arc via clinfo),
VRAM, system/unified RAM. Emits JSON
{verdict: ok|marginal|cloud, recommended_install_path, comfy_cli_flag}
with practical thresholds: discrete GPU >=6 GB VRAM minimum,
Apple Silicon >=16 GB unified memory minimum, Intel Mac -> cloud,
no accelerator -> cloud. comfy_cli_flag maps directly to
`comfy install` so the agent can stitch the whole flow together.
- scripts/comfyui_setup.sh: runs hardware_check.py first when no
explicit flag is passed. If verdict=cloud, refuses to install
locally, prints Comfy Cloud URL + an override command, exits 2.
Otherwise auto-selects the right --nvidia/--amd/--m-series flag
for `comfy install`. Surfaces marginal-verdict notes to the user.
- SKILL.md Setup & Onboarding: adds mandatory Step 0 "Check If This
Machine Can Run ComfyUI Locally" ahead of the Path A-E selection.
Documents the verdict thresholds inline, ties verdict + comfy_cli_flag
to the install paths, and updates the path-choice table so
"verdict: cloud" is the first row. Quick-Start "Detect Environment"
block extended to include the hardware check. Verification
checklist gains a hardware-check gate.
- Frontmatter setup.help rewritten to point at hardware_check.py
first. Version bumped 4.0.0 -> 4.1.0.
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| blender-mcp | ||
| comfyui | ||
| concept-diagrams | ||
| meme-generation | ||