corridorkey-green-screen

Skill by ara.so — Daily 2026 Skills collection. CorridorKey is a neural network that solves the color unmixing problem in green screen footage. For every pixel — including semi-transparent ones from motion blur, hair, or out-of-focus edges — it predicts the true straight (un-premultiplied) foreground color and a clean linear alpha channel. It reads/writes 16-bit and 32-bit EXR files for VFX pipeline integration. Two inputs required per frame: The model fills in fine detail from the hint; it's trained on blurry/eroded masks. Model download: CorridorKey outputs straight (un-premultiplied) RGBA EXRs in linear light: - RGB green screen image — sRGB or linear gamma, sRGB/REC709 gamut - Alpha Hint — rough coarse B&W mask (doesn't need to be precise) - uv package manager (handles Python automatically) - NVIDIA GPU with CUDA 12.8+ drivers (for GPU), or Apple M1+ (for MLX), or CPU fallback - Hint too expanded : Erode your alpha hint more — CorridorKey is better at adding edge detail than removing unwanted mask area - Wrong color space : Ensure input is sRGB/REC709 gamut; don't pass log-encoded footage directly - Green spill : The model handles color unmixing, but extreme green spill in source may degrade results; consider a despill pass before inference - Static subjects : GVM works best on people; try VideoMaMa with a hand-drawn hint for props/objects - Discord : (Corridor Creates —...