Agent skill

Model Registry

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…

MITAuto-check passedAI & LLM Engineering

Install Model Registry

skills CLI

$ npx skills add artokun/comfyui-mcp --skill model-registry -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install artokun/comfyui-mcp model-registry --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugin/skills/model-registry .claude/skills/model-registry && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "model-registry" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/model-registry into .claude/skills/model-registry/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-registry", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/model-registry

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add artokun/comfyui-mcp --skill model-registry -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install artokun/comfyui-mcp model-registry --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugin/skills/model-registry .agents/skills/model-registry && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "model-registry" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/model-registry into .agents/skills/model-registry/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-registry", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add artokun/comfyui-mcp --skill model-registry -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install artokun/comfyui-mcp model-registry --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugin/skills/model-registry .cursor/skills/model-registry && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "model-registry" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/model-registry into .cursor/skills/model-registry/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-registry", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/artokun/comfyui-mcp.git --path plugin/skills/model-registry

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add artokun/comfyui-mcp --skill model-registry -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install artokun/comfyui-mcp model-registry --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugin/skills/model-registry .gemini/skills/model-registry && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "model-registry" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/model-registry into .gemini/skills/model-registry/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-registry", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install artokun/comfyui-mcp model-registry

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add artokun/comfyui-mcp --skill model-registry -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugin/skills/model-registry .github/skills/model-registry && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "model-registry" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/model-registry into .github/skills/model-registry/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-registry", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add artokun/comfyui-mcp --skill model-registry -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install artokun/comfyui-mcp model-registry --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/artokun/comfyui-mcp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugin/skills/model-registry .opencode/skills/model-registry && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "model-registry" agent skill from https://github.com/artokun/comfyui-mcp/tree/main/plugin/skills/model-registry into .opencode/skills/model-registry/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-registry", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: model-registry
GitHub stars: 800
Token cost: ~2.1k tokens
SKILL.md length: 582 words
Files: 1
Skills in repo: 42
Repo updated: Oct 5, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

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…

Downloading models with downloadmodel (action:download / action:downloadcivitai)
SKILL.md covers Shared VAEs & text encoders…, Flux (see flux-txt2img skill…, WAN 2.x video (see… and LTX-2 19B video (see…, plus 6 more sections
Reaches huggingface.co; needs HUGGINGFACE_TOKEN and CIVITAI_API_TOKEN
A workflow fails with a missing-model error

What it does

Model Registry is an agent skill from artokun/comfyui-mcp. 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 downloadmodel (action:"download" / action:"downloadcivitai"), when a workflow fails with a missing-model error, or when setting up a new machine.

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering Diffusion and image models, MLOps and Fine-tuning. It works with Qwen, Stable Diffusion, ComfyUI and Model Context Protocol. The repository describes itself as: Local-first, agent-native control plane for ComfyUI — MCP server + sidebar agent that generates images, video & audio, authors and runs workflows, and edits your live graph in… The licence is MIT.

When your agent uses it

Downloading models with downloadmodel (action:download / action:downloadcivitai)
A workflow fails with a missing-model error
Setting up a new machine

Example prompts

“download”
“downloadcivitai”
“/model-registry”

Requirements

A credential in HUGGINGFACE_TOKEN
A credential in CIVITAI_API_TOKEN

What it can do on your machine

Read from SKILL.md and the folder at commit 6ad6fc0. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- huggingface.co
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- HUGGINGFACE_TOKEN
- CIVITAI_API_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Model Registry loads about 2.1k tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 582 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~102
When it runs · the whole SKILL.md, loaded when a task matches: ~2.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from artokun/comfyui-mcp at commit 6ad6fc0, republished under its MIT licence (© artokun). 582 words, ~2,103 tokens.

Download SKILL.mdSave it as .claude/skills/model-registry/SKILL.md (or your agent's skills folder).

name: model-registry
description: 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)

File	Source	Target
`ae.safetensors` (Flux/Z-Image VAE)	`huggingface.co/black-forest-labs/FLUX.1-schnell/resolve/main/ae.safetensors` (Apache, not gated)	`vae/`
`vae-ft-mse-840000-ema-pruned.safetensors` (SD1.5 VAE)	`huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.safetensors`	`vae/`
`clip_l.safetensors`	`huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/clip_l.safetensors`	`text_encoders/`
`t5xxl_fp8_e4m3fn.safetensors`	`huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp8_e4m3fn.safetensors`	`text_encoders/`
`umt5_xxl_fp8_e4m3fn_scaled.safetensors` (WAN)	`huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors`	`text_encoders/`

Flux (see `flux-txt2img` skill for workflows)

File	Source	Target
`flux1-dev.safetensors` 🔒	`huggingface.co/black-forest-labs/FLUX.1-dev`	`diffusion_models/`
`flux1-schnell.safetensors`	`huggingface.co/black-forest-labs/FLUX.1-schnell/resolve/main/flux1-schnell.safetensors`	`diffusion_models/`
`flux2-vae.safetensors` (Flux 2 Klein)	`huggingface.co/Comfy-Org/flux2-klein` — check repo for current path	`vae/`

WAN 2.x video (see `wan-t2v-video` / `wan-flf-video` skills)

Comfy-Org repackages everything: huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged under split_files/.

File	Path in repo	Target
`wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors`	`split_files/diffusion_models/`	`diffusion_models/`
`wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors`	`split_files/diffusion_models/`	`diffusion_models/`
`wan_2.1_vae.safetensors`	`split_files/vae/`	`vae/`
`wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors`	`split_files/loras/`	`loras/`
`wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors`	`split_files/loras/`	`loras/`
Magical-morph I2V LoRAs (high/low)	`huggingface.co/NikolaSigmoid/wan2.2-i2v-loras-magical-morph`	`loras/`
SkinMorph Redmond I2V 14B	`civitai.com/models/2210162` (use `action:"download_civitai"`)	`loras/`

LTX-2 19B video (see `ltxv2-video` skill)

File	Source	Target
`ltx-2-19b-distilled.safetensors`	`huggingface.co/Lightricks/LTX-2` — check repo for the bf16 distilled path	`checkpoints/`
`gemma_3_12B_it_fp4_mixed.safetensors`	`huggingface.co/Comfy-Org` LTX repackage	`text_encoders/`
`ltx-2-spatial-upscaler-x2-1.0.safetensors`	`huggingface.co/Lightricks/LTX-2`	`upscale_models/`
Camera-control LoRAs (`dolly-left`, distilled-384)	`huggingface.co/Lightricks/LTX-2` LoRA dir	`loras/`

Qwen-Image (see `qwen-txt2img` / `qwen-image-edit` skills)

File	Source	Target
`qwen_image_fp8_e4m3fn.safetensors`	`huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_fp8_e4m3fn.safetensors`	`diffusion_models/`
`qwen_2.5_vl_7b_fp8_scaled.safetensors`	same repo, `split_files/text_encoders/`	`text_encoders/`
`qwen_image_vae.safetensors`	same repo, `split_files/vae/`	`vae/`
`qwen_image_edit_2511_bf16.safetensors`	`huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI` — check repo	`diffusion_models/`
Qwen-Image 2512 Lightning LoRA	`huggingface.co/lightx2v/Qwen-Image-2512-Lightning`	`loras/`
Qwen-Image-Edit 2511 Lightning LoRA	`huggingface.co/lightx2v/Qwen-Image-Edit-2511-Lightning`	`loras/`
Qwen-Image 2512 Turbo LoRA	`huggingface.co/Wuli-art/Qwen-Image-2512-Turbo-LoRA`	`loras/`

Show full SKILL.md (229 more words)Show less

MiniMax H3 video (see `minimax-h3-video` skill)

Comfy-Org INT8 pack: huggingface.co/Comfy-Org/MiniMax-H3. Local weights are under the MiniMax H3 Community License (territory-restricted). Prefer the filenames the Comfy-Org templates already name.

File	Source	Target
`minimax_h3_fl2va_pruned_int8_convrot.safetensors`	`huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/diffusion_models/minimax_h3_fl2va_pruned_int8_convrot.safetensors`	`diffusion_models/`
`minimax_h3_ref2va_pruned_int8_convrot.safetensors`	same repo, `diffusion_models/`	`diffusion_models/`
`qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors`	same repo, `text_encoders/`	`text_encoders/`
`minimax_h3_video_vae_fp16.safetensors`	same repo, `vae/`	`vae/`
`minimax_h3_audio_vae_fp32.safetensors`	same repo, `vae/`	`vae/`
`minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors`	`huggingface.co/lightx2v/Minimax-h3-Turbo/resolve/main/minimax_h3_fl2v_turbo_8step_v1.0_comfyui_bf16.safetensors`	`loras/`
`minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors`	`huggingface.co/Comfy-Org/MiniMax-H3/resolve/main/loras/minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors`	`loras/`

Z-Image (see `z-image-txt2img` skill)

File	Source	Target
`z_image_turbo_bf16.safetensors`	`huggingface.co/Comfy-Org/z_image_turbo` — check repo for split_files path	`diffusion_models/`
`z_image_base_bf16.safetensors`	same family repo	`diffusion_models/`
`qwen_3_4b.safetensors` (Z-Image text encoder)	Comfy-Org repackage, `split_files/text_encoders/`	`text_encoders/`

SDXL / SD1.5 community checkpoints (CivitAI)

Use download_model({ action: "download_civitai", model_id }). It resolves the latest version and handles auth:

Model	CivitAI
RedCraft RedZ ImageDX	`civitai.com/models/958009`
Qwen Ultimate Realism v1.1	`civitai.com/models/2027494`
Copax Timeless	`civitai.com/models/copaxTimeless` (search by name)

Failure modes

404 on an HF resolve URL. The repo restructured. Open the repo page, find the file under "Files", and rebuild the resolve URL.
401/403. Gated repo. Set HUGGINGFACE_TOKEN after accepting the license, or CIVITAI_API_TOKEN for early-access CivitAI files.
Wrong dropdown after download. The file landed in the wrong models/ subdir; check the Target column and model-compatibility.
Downloads resume on retry (HTTP Range), so re-run the same download_model call after a network drop.

Sources

Official: Hugging Face resolve-URL convention https://huggingface.co/<repo>/resolve/main/<path>; kitchen NVFP4/MXFP8 hardware gates in ComfyUI comfy/model_management.py and quant metadata in comfy/quant_ops.py.
Empirical: the curated list and Civitai notes are ours, not a vendor catalog.

Files

Just SKILL.md in plugin/skills/model-registry of artokun/comfyui-mcp.

Open the folder on GitHubat commit 6ad6fc0

Compare with similar skills

Model Registry next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Model Registry compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Model Registry this skillartokun/comfyui-mcp	800	—	~2.1k	Automated safety check: Pass	MIT	4 days ago
Comfyui Skill OpenclawHuangYuChuh/ComfyUI_Skills_OpenClaw	413	—	~2.7k	Automated safety check: Pass	Apache-2.0	1 mo ago
Castguaardvark/guaardvark	257	—	~673	Automated safety check: Pass	MIT	today
LoRA Space Builderhuggingface/skills	11k	2 repos	~8.4k	Automated safety check: Pass	Apache-2.0	yesterday
Setupguaardvark/guaardvark	257	—	~1.2k	Automated safety check: Pass	MIT	today
Workflow Template BuilderMooshieblob1/MooshieUI	207	—	~640	Automated safety check: Pass	AGPL-3.0	yesterday

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Works with

Questions about Model Registry

What does Model Registry do?

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…. Model Registry is an agent skill from artokun/comfyui-mcp. 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.

When should I use Model Registry?

Model Registry fits situations like: downloading models with downloadmodel (action:download / action:downloadcivitai); A workflow fails with a missing-model error; setting up a new machine.

How do I install Model Registry in Claude Code?

Run `npx skills add artokun/comfyui-mcp --skill model-registry -a claude-code`. Or copy the skill folder (plugin/skills/model-registry in artokun/comfyui-mcp) into .claude/skills/model-registry in your project. Claude Code loads it when a task matches its description.

How do I install Model Registry in Codex?

Run `npx skills add artokun/comfyui-mcp --skill model-registry -a codex`. Or copy the skill folder (plugin/skills/model-registry in artokun/comfyui-mcp) into .agents/skills/model-registry in your project. Codex loads it when a task matches its description.

Can I use Model Registry in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add artokun/comfyui-mcp --skill model-registry -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/model-registry, .gemini/skills/model-registry, .github/skills/model-registry and .opencode/skills/model-registry in your project.

What does Model Registry need to run?

Going by SKILL.md and its folder, Model Registry needs credentials named HUGGINGFACE_TOKEN and CIVITAI_API_TOKEN. Our summary lists: A credential in HUGGINGFACE_TOKEN; A credential in CIVITAI_API_TOKEN.

Does Model Registry access the network?

SKILL.md names 1 domain. In commands or code: huggingface.co; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Model Registry safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Model Registry use?

Model Registry is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Model Registry use?

About 2.1k tokens (SKILL.md is roughly 8.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Model Registry?

Skills that share tags, products or a category with Model Registry: Comfyui Skill Openclaw (HuangYuChuh/ComfyUI_Skills_OpenClaw, 413 stars), Cast (guaardvark/guaardvark, 257 stars), LoRA Space Builder (huggingface/skills, 11k stars) and Setup (guaardvark/guaardvark, 257 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Model Registry?

artokun (a GitHub user) maintains it in artokun/comfyui-mcp, which has 800 GitHub stars. The repository holds 42 skills in this directory. The repository was last updated on October 5, 2026.

Source: artokun/comfyui-mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Model Registry

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Model Registry

Shared VAEs & text encoders (download these once)

Flux (see flux-txt2img skill for workflows)

WAN 2.x video (see wan-t2v-video / wan-flf-video skills)

LTX-2 19B video (see ltxv2-video skill)

Qwen-Image (see qwen-txt2img / qwen-image-edit skills)

MiniMax H3 video (see minimax-h3-video skill)

Z-Image (see z-image-txt2img skill)

SDXL / SD1.5 community checkpoints (CivitAI)

Failure modes

Sources

Files

Compare with similar skills

Similar skills

More from artokun/comfyui-mcp

Related

Questions about Model Registry

Flux (see `flux-txt2img` skill for workflows)

WAN 2.x video (see `wan-t2v-video` / `wan-flf-video` skills)

LTX-2 19B video (see `ltxv2-video` skill)

Qwen-Image (see `qwen-txt2img` / `qwen-image-edit` skills)

MiniMax H3 video (see `minimax-h3-video` skill)

Z-Image (see `z-image-txt2img` skill)