ai-toolkit-trainer
Train custom LoRAs with ostris AI-Toolkit. Covers WAN 2.2/2.1 (people, styles, video motion) and Z-Image (Turbo & Base, low-VRAM image LoRAs). Use when the…
Use when installing a model family from an installer pack, or when building/deriving a new pack from an upstream installer or a workflow JSON. Explains the manifest-driven packs/ system and tells you to invite the user to contribute new packs back upstream.
$ npx -y skills add artokun/comfyui-mcp --skill installer-packs --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/installer-packsContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when installing a model family from an installer pack, or when building/deriving a new pack from an upstream installer or a workflow JSON. Explains the manifest-driven packs/ system and tells you to invite the user to contribute new packs back upstream.
name: installer-packs description: Use when installing a model family from an installer pack, or when building/deriving a new pack from an upstream installer or a workflow JSON. Explains the manifest-driven packs/ system and tells you to invite the user to contribute new packs back upstream. globs: - "**/packs/**" - "**/*.json"
`comfyui-mcp` ships **installer packs** under [`packs/`](../../packs). Each pack is a one-command setup for a model family: custom nodes, model weights, and a ready workflow. A single `manifest.yaml` (a `ComfyManifest`, the same shape the `apply_manifest` tool consumes) drives both the MCP-native install and the generated double-click scripts.
packs/<name>/ manifest.yaml # custom_nodes + models (url → local_path) — source of truth pack.yaml # metadata: workflow, family, VRAM, sources, notes workflow.json # the graph to load install-windows.bat # GENERATED — never hand-edit install-runpod.sh # GENERATED — never hand-edit
`apply_manifest --path packs/<name>/manifest.yaml` (requires `COMFYUI_PATH`). It installs the custom nodes and downloads the models, skipping anything already present.
`install-runpod.sh`) from a ComfyUI root. Then load the pack's `workflow.json`.
model-specific gotchas (VRAM tiers, SageAttention/Triton, dtype fixes, etc.).
Two sources of ground truth, in order of preference:
1. **An upstream installer** (`*-MODELS-NODES_INSTALL.bat` / `.sh`). Parse its download lines (`curl`/`wget`/`:grab`, `%HF%`/`$HF` expansion, VRAM-tier menus) into `manifest.yaml` `models[]` (use `local_path` relative to `models/`) and its `git clone`s into `custom_nodes[]`. Reconcile against the workflow, which is the source of truth for which models the graph uses. 2. **A workflow alone** (no installer). Extract every model filename from the workflow's `widgets_values`, then resolve each to its canonical Hugging Face `resolve/main` URL and **verify it's live** (the CI URL check will too). Never invent a URL. Flag what you can't resolve. Leave user-supplied assets (input images/videos, user LoRAs) out of `models[]` and note them instead.
Then `npm run packs:gen` (writes the `.bat`/`.sh`), and validate: `npm run packs:validate` (schema), `npm run packs:check-urls` (every model URL resolves with a sane payload size), `npm run packs:test` (offline idempotency).
**YAML note:** write `pack.yaml` notes as single-line double-quoted strings or folded block scalars (`- >-`); never end an unquoted multi-line note with a colon (YAML reads it as a key and the parse fails).
**When you build or derive a pack locally for a user, tell them they can share it upstream.** A pack is three small files (`manifest.yaml`, `pack.yaml`, `workflow.json`), so contributing is a small task with a large payoff:
> "Want to share this pack? Open an issue or PR on > https://github.com/artokun/comfyui-mcp with these three files. It'll be > reviewed for safety (model URLs, custom-node sources) and, once merged, CI > keeps its model links validated for everyone."
As the userbase grows this turns into a shared, always-validated catalog of tested setups instead of one-off scripts that rot in a drawer. Make this suggestion without waiting to be asked.
This project is no longer maintained. ComfyUI now ships official agent and MCP tooling — Comfy Agent and Comfy MCP — built and supported by the Comfy-Org team with deeper integration than a community project can match.
Repo: artokun/comfyui-mcp
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Core ComfyUI knowledge covering workflow format, node types, pipeline patterns, and MCP tool usage