ComfyUI Impact Pack 🧩 Workflow Open source
Detailer, detection and segmentation nodes for fixing faces, hands and details
- GitHub stars
- 3.3k
- Stars this week
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- Forks
- 399
- Licence
- GPL-3.0
- Last push
- 2026-04-19
- Maintainer
- ltdrdata
git clone https://github.com/ltdrdata/ComfyUI-Impact-Pack comfyui-impact-packThird-party workflows & skills run with your permissions and API keys. Read the source before installing, and prefer pinned versions.
Works with
Good for
About ComfyUI Impact Pack
What it is
ComfyUI Impact Pack by ltdrdata (GPL-3.0) provides detection-and-redraw tools: detectors find regions such as faces, hands or objects, and Detailer nodes regenerate those regions at higher resolution for sharper results. It also adds SAM segmentation, iterative upscaling, wildcard prompts and many utility nodes, and it is a common dependency in portrait, product and illustration workflows. Its author also created ComfyUI-Manager, and the pack has been part of the ecosystem since ComfyUI's early days, so a large body of tutorials and example graphs uses it.
Key features
- FaceDetailer and generic Detailer nodes to redraw small regions
- Bounding-box and segmentation detectors (with the Impact Subpack for YOLO models)
- SAM integration for precise masks
- Iterative upscaling and tiled processing
- Wildcard and prompt-variation support
- Switches and pipe nodes for large graphs
How to install
In ComfyUI/custom_nodes run git clone https://github.com/ltdrdata/ComfyUI-Impact-Pack comfyui-impact-pack, then pip install -r requirements.txt inside it; or install via ComfyUI-Manager. Some detectors need the separate Impact Subpack.
Pricing and rights
Free, GPL-3.0. Detection and segmentation models have their own licences, so check them before commercial use; the pack itself adds no watermark or limits.
Who it is for
Portrait, character and product creators who need clean faces, hands and small details at high resolution, and anyone upscaling images for print or large displays.
Verdict
A mature, very widely used pack for fixing details. It is complex, and recent pushes (April 2026) are less frequent than in its peak years.
Pros
- Proven detail-repair workflow
- Rich detection and masking tools
- Large community of example workflows
Cons
- Complex node set
- Some detectors need an extra pack
- Update cadence has slowed
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