Stabilizer Backend Change

SkillMedia

Use when changing Classic/Flow motion estimation, OpenCV backend selection, fallback behavior, or stabilization math.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Stabilizer Backend Change skill

What this skill tells your AI

The instructions your AI receives, as published by nomadoor/comfyui-video-stabilizer in .claude/skills/stabilizer-backend-change/SKILL.md and read by ahel’s review.

Use this skill for work on feature tracking, dense optical flow, DIS/TV-L1, transform fitting, smoothing, crop handling, or fallback behavior.

Context

  • Classic estimates sparse feature motion with OpenCV GFTT/LK.
  • Flow normally uses OpenCV DIS optical flow.
  • cv2.optflow is not available in standard OpenCV wheels; TV-L1 requires contrib OpenCV or an equivalent available API.
  • Existing sample workflows use the Flow node.

Rules

  • Do not assume cv2 or cv2.optflow exists unless declared and checked.
  • If a stronger backend is unavailable, prefer safe fallback: perspective -> similarity -> translation -> identity.
  • Keep fallback metadata auditable (flow_backend, applied transform mode, confidence/residual data where available).
  • Preserve deterministic behavior for identical frames and inputs.
  • Avoid GPU-only dependencies; this node is CPU-oriented.

Useful Checks

python3 scripts/validate_repo.py
python3 -c "import cv2; print(cv2.__version__, hasattr(cv2, 'DISOpticalFlow'), hasattr(cv2, 'optflow'))"

If using a ComfyUI venv, run the cv2 check inside that venv too.

Signals

GitHub stars
90
Forks
4
Last commit
Jul 2026
Advanced
Catalog kind
skill
Gateway key
stabilizer-backend-change
Source
github.com/nomadoor/comfyui-video-stabilizer