Skills

Model Registry

Curated download URLs and target directories, organized by family (Flux, WAN, LTX...

Install

npx skills add artokun/comfyui-mcp --skill model-registry -g -a claude-code -y
Repository
artokun/comfyui-mcp883
Category
AI and agents
Updated
9d ago
License
MIT
Context cost
Mediumabout 1,992 tokens
Runs scripts
No, instructions only

What it does

Curated download URLs and target directories, organized by family (Flux, WAN, LTX, Qwen, Z-Image, SD15/SDXL), for every model the comfyui-mcp skills reference, covering checkpoints, VAEs, text encoders, and LoRAs. Use when downloading models with download_model (action:"download" / action:"download_civitai"), when a workflow fails with a missing-model error, or when setting up a new machine.

Model Registry

One table per family: filename → source URL → target subdir under <COMFYUI>/models/. Use with download_model({ action: "download", url, target_subfolder, filename }). This registry grows with every release. If a model you need is missing, use action:"search" (HuggingFace) or action:"download_civitai" and consider contributing the row.

Quant column (kitchen). Filenames in this registry are mostly bf16 / fp8. NVFP4 and MXFP8 siblings, when a vendor publishes them, are the same stem with nvfp4 / mxfp8 in the name and belong in diffusion_models/ too. kitchen action:"assess" only offers an NVFP4 swap when that sibling is already listed locally, it does not guess a URL from the filename. Blackwell (SM ≥ 10.0) is the GPU that can run NVFP4 / MXFP8 compute.

Conventions

  • HF "resolve" URLs download directly: https://huggingface.co/<repo>/resolve/main/<path>
  • 🔒 = gated repo, needs HUGGINGFACE_TOKEN (accept the license on the HF page first)
  • CivitAI model-page URLs need download_model action:"download_civitai" (resolves version → file); raw civitai.com/api/download/... URLs work with action:"download" + CIVITAI_API_TOKEN
  • Always verify the exact filename a workflow's loader expects. The model-compatibility skill covers which VAE/CLIP pairs with which architecture

Shared VAEs & text encoders (download these once)

Read the whole SKILL.md on GitHub

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