vibecomfy-setup

name	vibecomfy-setup
description	Set up VibeComfy for local or remote ComfyUI use. Use when the user asks to install, configure, initialize, connect VibeComfy to ComfyUI, choose between pip-installed ComfyUI and their own ComfyUI checkout, configure custom_nodes/models paths, reuse existing nodes/models, create isolated libraries, or make `vibecomfy run` stop warning about missing ComfyUI/config.

VibeComfy Setup

Use this when the environment is the problem: VibeComfy cannot find ComfyUI, the user wants to reuse or isolate their custom_nodes / models, or a run needs to target an existing ComfyUI server.

The good setup is explicit. Pick a runtime, pick node/model libraries only when they matter, dry-run dependency changes, then verify.

First Conversation

Before mutating the user's machine, ask for three choices:

1. Runtime

   • installed/importable comfy package
   • the user's own ComfyUI checkout path
   • an already-running ComfyUI server URL

2. Custom nodes

   • reuse an existing custom_nodes
   • create/use an isolated custom_nodes
   • skip local custom-node setup for now

3. Models

   • reuse an existing models
   • create/use an isolated models
   • skip local model setup for now

Also ask whether the config should be global (~/.vibecomfy/config.toml) or repo-local (./vibecomfy.toml). Use global for a personal workstation unless the user wants this checkout to carry the setup.

If they choose an existing server URL, do not force local ComfyUI setup. External server runs only need local node/model paths when VibeComfy is staging files or preparing dependencies on a shared filesystem.

Inspect

Run from the repo root:

vibecomfy config show --json
vibecomfy runtime doctor

If the console script is unavailable in an editable checkout, use python -m vibecomfy.cli ....

Know the two resolution paths:

• vibecomfy config init detects ComfyUI from COMFYUI_PATH, an importable comfy package, ~/ComfyUI, then the current directory if it has custom_nodes or models.
• Library paths used by config/model/node helpers prefer env vars first (VIBECOMFY_CUSTOM_NODES_DIR, VIBECOMFY_MODELS_ROOT, COMFY_MODELS_ROOT), then repo config, then global config.

Runtime Setup

For an importable/pip ComfyUI:

python - <<'PY'
import comfy
from pathlib import Path
root = Path(comfy.__file__).resolve().parent.parent
print(root)
print(root / "custom_nodes")
print(root / "models")
PY
vibecomfy config init --yes

For the user's own checkout:

export COMFYUI_PATH=/absolute/path/to/ComfyUI
test -d "$COMFYUI_PATH/custom_nodes"
test -d "$COMFYUI_PATH/models"
vibecomfy config set-library \
  --custom-nodes "$COMFYUI_PATH/custom_nodes" \
  --models "$COMFYUI_PATH/models"

Add --repo to config init or config set-library only when the user wants repo-local config.

For an existing server:

vibecomfy run <workflow.py> --runtime server --server-url http://host:8188
vibecomfy run image/z_image --ready --runtime server --server-url http://host:8188

Python workflows work here: VibeComfy imports build(), compiles the returned VibeWorkflow to ComfyUI API JSON, and queues it to the server.

Custom Nodes

Reuse an existing library:

vibecomfy config set-library --custom-nodes /absolute/path/to/custom_nodes
vibecomfy nodes restore

Use an isolated library:

mkdir -p /absolute/path/to/new-custom_nodes
vibecomfy config set-library --custom-nodes /absolute/path/to/new-custom_nodes --force
vibecomfy nodes restore

Plan before installing:

vibecomfy nodes install-plan <workflow>
vibecomfy nodes ensure --workflow <workflow>
vibecomfy nodes ensure --template <ready_id>

Caveat: nodes restore and single-pack nodes install honor the configured custom-node root. nodes ensure currently installs through the package default custom_nodes path, so verify the install destination before claiming an isolated library was populated.

Skip local nodes:

vibecomfy config set-library --no-custom-nodes

Models

Reuse an existing library:

vibecomfy config set-library --models /absolute/path/to/models

Use an isolated library:

mkdir -p /absolute/path/to/new-models
vibecomfy config set-library --models /absolute/path/to/new-models --force

Plan before downloading:

vibecomfy models stage --select-phase core --dry-run
vibecomfy fetch <workflow> --dry-run

Then install only after the user agrees:

vibecomfy models stage --select-phase core
vibecomfy fetch <workflow>

Skip local models:

vibecomfy config set-library --no-models

Verify

Finish every setup with the canonical candidate still represented by Python; use API JSON only at the runtime boundary:

vibecomfy config show --json
vibecomfy runtime doctor
vibecomfy inspect <workflow>
vibecomfy doctor <workflow> --json

If embedded runtime still cannot find a ComfyUI root or comfy module, local embedded execution is not ready. Either set COMFYUI_PATH, install/import comfy in the active environment, or run with --runtime server --server-url ....

Default Path

When the user has no strong preference:

1. Run vibecomfy config init --yes.
2. If ComfyUI is not detected, ask for a ComfyUI path or server URL.
3. Reuse real existing custom_nodes and models.
4. Use isolated dirs only when they want to protect their current ComfyUI setup.
5. Dry-run dependency changes before installs/downloads.
6. Run runtime doctor, inspect, and doctor before handing off to run-comfy-workflow.