ComfyUI Impact Pack
Detection, segmentation, and detailers — the canonical face/hand fix pack.
Open Sourcevia comfyui
Actually FreeNo SignupOpen SourceWatermark-Free
KJNodes for ComfyUI
Cutting-edge video & advanced sampling nodes by Kijai.
Open Sourcevia comfyuiRuns locally
Actually FreeNo SignupOpen SourceWatermark-FreeHobbyist-FriendlyPlugin
Requires: ComfyUI
Visit KJNodes for ComfyUIUpdated 2026-05-18 · Direct link
Hardware requirements
Runs locally · No GPU
Min VRAM
None
Rec. VRAM
None
Min RAM
8 GB
Rec. RAM
16 GB
Disk
10 GB
GPU class
No GPU
No Apple SiliconGPU Required
Plug-in for ComfyUI — inherits host requirements.
Screenshot placeholder · KJNodes for ComfyUI
What is KJNodes 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.
Pros & cons
Pros
- Earliest reliable Comfy support for new video models
- Advanced sampling nodes (FreeU, PerturbedAttention, etc.)
- Memory management nodes worth the install on their own
Cons
- Bleeding-edge — APIs occasionally change between releases
- Many nodes assume you've read the linked README threads
What's actually free?
MIT.
✓ Actually FreeNo SignupOpen SourceWatermark-Free
Alternatives
ComfyUI ControlNet Auxiliary
All the ControlNet preprocessors in one node pack.
Open Source 6–12 GB VRAM
- Min VRAM
- 6 GB
- GPU class
- Mid GPU
- Quant
- FP16
Actually FreeNo SignupOpen SourceWatermark-Free