ComfyUI Impact Pack
Detection, segmentation, and detailers — the canonical face/hand fix pack.
Cutting-edge video & advanced sampling nodes by Kijai.
Requires: ComfyUI
Runs locally · No GPU
Plug-in for ComfyUI — inherits host requirements.
Source is public — you can audit it, fork it, and you'll never lose access to your workflows if KJNodes for ComfyUI the company changes direction.
You don't need to read a paper before getting your first result — sensible defaults and a quick install.
Trending hard right now — releases, papers, and community workflows are landing weekly.
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.
Drops into comfyui — assuming the host is already set up.
No dedicated GPU required.
Source is public — auditable and forkable, no vendor lock.
Catalogue entry last updated 59 days ago — re-verification due soon.
Hand-picked from YouTube, Reddit, GitHub, and the wider web. Each link goes straight to the source — we don't intercept or rewrite anything.
Three picks across different tradeoffs — so you don't end up with three near-clones of KJNodes for ComfyUI.
All the ControlNet preprocessors in one node pack.
Install, update, and govern ComfyUI custom nodes.
Reference-image conditioning for ComfyUI.
Kijai is the patron saint of new-model adoption in ComfyUI — KJNodes is where support for Wan, Hunyuan Video, Mochi, CogVideoX, LTX, and Flux variants tends to land first, often within days of release. Also includes advanced sampling, scheduling, and memory-management nodes.
MIT.
Detection, segmentation, and detailers — the canonical face/hand fix pack.
All the ControlNet preprocessors in one node pack.