- Segmentation backend now defaults to birefnet (ZhengPeng7/BiRefNet); anime-seg is
selected at runtime with --seg-backend anime-seg, which also swaps in the matching
weights (unknown backends raise). Config files stay for detailed tuning, not
backend selection.
- Default device is now cpu everywhere (dataclass defaults, default.yaml,
birefnet.yaml); pass --device cuda for GPU. Avoids a hard CUDA-required failure on
machines without a CUDA-enabled PyTorch build.
- Docs: README + workflow status note updated (backend via --seg-backend, CPU
default, examples no longer force --device cuda).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
A copy of default.yaml with segmentation.backend switched to birefnet
(ZhengPeng7/BiRefNet). BiRefNet is a general salient-object segmenter, so it
handles non-anime subjects (text, logos, real photos) that anime-seg returns an
empty mask for. Run with: --config configs/birefnet.yaml
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
lhk229