ComfyUI ControlNet Auxiliary
All the ControlNet preprocessors in one node pack.
Requires: ComfyUI
HARDWARE REQUIREMENTS //
Runs locally · Mid GPU (12 GB)
Depth Anything v2 large needs ~6 GB on its own.
Why we recommend ComfyUI ControlNet Auxiliary
- Open source
Source is public — you can audit it, fork it, and you'll never lose access to your workflows if ComfyUI ControlNet Auxiliary the company changes direction.
- Runs on 6 GB
Fits on entry-level cards (GTX 1660, RTX 3050, RTX 4060). Rare for this category.
- Apple Silicon
Native Metal / MPS support — runs on M-series Macs without CUDA gymnastics.
- Top-tier pick
Power-user score 90/100 — consistently rated highly by people who use this every day, not just benchmark chasers.
Documentation-led datasheet
This page summarizes upstream documentation, release information, and editorially reviewed catalogue fields. It is not presented as a hands-on benchmark. Verify changing requirements at the official project; report stale data through our corrections channel.
AT-A-GLANCE SIGNALS //
DERIVED FROM THIS PAGE'S DATA- Install difficultyPlugin
Drops into comfyui — assuming the host is already set up.
- Hardware comfortEntry-level
Fits on 6 GB cards — GTX 1660 / RTX 3050 territory.
- EcosystemActive community
Open source plus 3 community resources we've vetted — there are people to ask.
- VerificationRecent
Catalogue entry last updated 77 days ago — re-verification due soon.
Tutorials & deep-dives for ComfyUI ControlNet Auxiliary
Hand-picked from YouTube, Reddit, GitHub, and the wider web. Each link goes straight to the source — we don't intercept or rewrite anything.
Other custom nodes & extensions tools we rate
Three picks across different tradeoffs — so you don't end up with three near-clones of ComfyUI ControlNet Auxiliary.
Krita AI Diffusion
Stable Diffusion baked into a real painting app.
ComfyUI-Manager
Install, update, and govern ComfyUI custom nodes.
ComfyUI IPAdapter Plus
Reference-image conditioning for ComfyUI.
What is ComfyUI ControlNet Auxiliary?
Single dependency for every ControlNet preprocessor — OpenPose, DWPose, Depth Anything v2, Canny, Lineart, Tile, Normal. Plug a source image in, get a perfect conditioning map out.
Pros & cons
✓ PROS
- One install = all preprocessors
- Auto-downloads required submodels
- Active maintenance
– CONS
- Big disk footprint when all submodels download
- Some preprocessors VRAM-hungry
What's actually free?
Free / OSS.