SEGS to Face Crop Data

If you've ever built a face-swap or face-fix graph with Impact Pack, you know the annoying middle step: a detector hands you a pile of SEGS, and suddenly you're re-implementing crop-and-paste yourself. This node cuts through that. It takes a SEGS stream and an index, and hands you the cropped face image plus the CROP_DATA you need to paste it back where it came from.

It's part of ComfyUI-off-suite, Off-Live's small personal pack of face-crop utilities. Nothing in the pack is famous, and this node is the sort of thing you'd otherwise hand-roll with a few ImageCrop nodes. Hand-rolled is fine. This is just shorter.

What you plug in

• segs - any SEGS output: Impact Pack's FaceDetector, Detector (SEGS), a SAM pipeline, whatever. This node doesn't care what produced it.
• face_index - which face to pull out, 0 being the first detection. Defaults to 0.

What comes out

Two outputs, and they're meant to be used together:

• IMAGE - the actual cropped face, exactly as Impact Pack's detector cropped it.
• CROP_DATA - the crop region (the bounding box in the original image), which is the secret sauce. Feed this to a paste-back node and the face goes home.

The pairing partner is Paste Face Segment to Image from the same pack: it takes crop_data, the original image, and the crop, and composites the (edited) face back onto the original. That's the classic "crop a face → run a detail pass on it at high resolution → paste it back" loop that Impact Pack's FaceDetailer makes automatic, except here you control every step yourself.

The gotcha that will bite you

face_index is an index into the SEGS list, and nothing stops you from picking one that doesn't exist. Ask for face 3 in a two-face frame and you'll get an IndexError and a dead queue. If your detector sometimes finds more faces than expected, clamp the index upstream or run a quick SEGS count first.

The other thing worth knowing: the cropped IMAGE is whatever the detector cropped - it is not square and not resized to a multiple of 8. If you're sending it straight to a VAE or an img2img sampler, run it through Image Resize Fit or Image Crop Fit from this same pack first, or you'll hit dimension complaints downstream.

Install

cd ComfyUI/custom_nodes
git clone https://github.com/Off-Live/ComfyUI-off-suite
# or: ComfyUI Manager → search "ComfyUI-off-suite"

No requirements to pip-install; the pack uses only what ComfyUI ships (numpy, Pillow, OpenCV). The actual dependency is Impact Pack, because SEGS is Impact Pack's data type - without it installed, this node has nothing to feed on. Like the rest of off-suite, don't expect active maintenance; the repo's been quiet since mid-2024, but for a utility this small that's rarely a problem.