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bg-removal

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Background removal craft: model selection (u2net vs u2net_human_seg), alpha matting for fine edges, asset-prep workflow.

skills-imported/bg-removal/SKILL.md

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# Background Removal Usage for OpenMontage

> Sources: rembg library documentation, U2Net paper (Qin et al. 2020), IS-Net paper
> (Qin et al. 2022), OpenMontage `tools/bg_remove.py` implementation

## Quick Reference Card

```
DEFAULT MODEL:    u2net (general purpose, fast)
FOR PEOPLE:       u2net_human_seg (optimized for human silhouettes)
FINE EDGES:       Enable alpha_matting (hair, fur, leaves)
OUTPUT:           Transparent PNG by default; set bg_color for solid replacement
RUNTIME:          ~1-3s per image (CPU), <0.5s (GPU with onnxruntime-gpu)
INSTALL:          pip install rembg (CPU) | pip install rembg[gpu] (CUDA)
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