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A local model & workflow dependency manager for ComfyUI

Project description

combuddy

CI License: MIT

A model & workflow dependency manager for ComfyUI. Point it at your local model library and workflow files, and it shows you how they depend on each other — which workflows use which models, which models nothing uses, and which models a workflow is missing. Local-first: model identity (base architecture, precision, parameters) is computed from file headers; optional Civitai enrichment by content hash is on by default and toggleable in settings.

Why

Community workflows reference models by bare filename — no download link, no hash. Over time you lose track of what a model is, which workflows need it, and what's safe to delete. combuddy answers those from what's already on your disk:

  • Dashboard — total models & size, base-architecture coverage, and how many models nothing references.
  • Model library — search/filter every model; click one to see its details and the workflows that reference it (reverse dependencies).
  • Workflow resolution — pick a workflow, see each referenced model marked hit / ambiguous / missing.
  • Cleanup — the models no workflow uses, with reclaimable space, moved to a recoverable trash (never a hard delete; only 0-reference models can go).
  • Offline identity — base architecture (SD1.5/SDXL/Flux/…, incl. GGUF), role labels (text encoder, VAE, ControlNet, …), and precision, all read straight from file headers.
  • Civitai identity — for models found on Civitai by content hash: real name, base model, trigger words, and a cached preview thumbnail with HD zoom. Enrichment sends only the hash, is on by default, and is toggleable in settings.

Install & run

Requires Python 3.11+.

pip install -e .
combuddy

This starts a local server on http://127.0.0.1:8511 and opens your browser. On first run, point it at your ComfyUI models directory and workflows directory (e.g. .../user/default/workflows); it scans and populates the Dashboard in seconds.

How it works

  • Scans model directories (skipping noise and its own trash), and parses ComfyUI workflow JSON for model references.
  • Matches references to local files by directory type + normalized relative path (handling subfolders, case, Unicode, and backslashes) — not by fragile basename guessing.
  • Computes content hashes for identity; optional Civitai enrichment sends only the hash to look up real names and metadata.
  • Stores everything in a single local SQLite index; the UI reads it live.

Tech stack

  • Backend: Python 3.11+, FastAPI, standard-library sqlite3 (no ORM). One command (combuddy) runs Uvicorn and serves both the API and the UI.
  • Frontend: Vue 3, Vite, PrimeVue, Tailwind — built into combuddy/web/ and served by the backend, so the whole app installs as one package.

Development

pip install -e ".[dev]"     # backend + test deps
pytest -q                    # backend tests

cd frontend
npm install
npm test                     # frontend tests (Vitest)
npm run dev                  # dev server, proxies /api to :8511
npm run build                # rebuild the bundle into ../combuddy/web

After changing anything in frontend/src, run npm run build — the packaged app serves the committed combuddy/web/ bundle.

Status & roadmap

v1.2 — local-first with optional Civitai enrichment (real names, preview images, trigger words by content hash, default on and toggleable). Planned next: download center for missing models, and dependency pinning for shareable, self-healing workflows.

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