# Background-colour prior. null = auto-detect the flat background colour from the # image border (raises if the border is not one clean flat colour). A hex string # like "#CFEFFF" sets it explicitly. Also overridable via --screen-color. screen_color: null model: model_name: hustvl/vitmatte-base-composition-1k device: cpu matting_method: vitmatte fallback_to_chroma_alpha: false segmentation: # enabled: true = single-segmenter pipeline (one seg model drives the trimap) # enabled: false = no seg model, chroma-only pipeline (Chroma + ViTMatte) enabled: true backend: birefnet # single trimap segmenter; switchable at runtime: --seg-backend birefnet|anime-seg model_name: ZhengPeng7/BiRefNet # matches backend; --seg-backend anime-seg auto-selects skytnt/anime-seg device: cpu input_size: 1024 trimap: sure_bg_threshold: 0.92 sure_fg_threshold: 0.12 unknown_radius_ratio: 0.012 fg_safe_radius_ratio: 0.006 seg_core_threshold: 0.60 seg_loose_threshold: 0.08 # Trimap mode (segmentation pipeline only; also settable via --trimap-mode): # directional = chroma + seg + hue split; background-hued residual # (blue between hair) -> unknown, white shirt kept. (default) # seg = original fuse_trimap (no hue split). # directional-hard-bg = hard-remove background-hued pixels (aggressive; can eat # cool/shadowed white cloth). mode: directional seg_low: 0.15 bg_hue_proj_min: 4.0 alpha_post: chroma_suppress: true chroma_suppress_bg_low: 0.35 chroma_suppress_bg_high: 0.80 chroma_suppress_strength: 1.0 # Matte-confidence gate: suppression fades where ViTMatte's raw alpha is high # (ramp lo -> hi), so colour evidence only vetoes the matte where it is unsure. # Set suppress_raw_lo: 1.0 to disable. suppress_raw_lo: 0.85 suppress_raw_hi: 0.98 cross_check: # Cross-model veto: a second, trimap-free matting model may only LOWER alpha # (min-fusion), only on background-hued bright pixels the primary result is # confident about — clears colour-drifted background residue between hair # strands that chroma, segmentation and ViTMatte all read as foreground. # Costs one extra model (~0.9 GB download) and one inference pass per image. # Disable with enabled: false or --no-cross-check. enabled: true model_name: ZhengPeng7/BiRefNet_HR-matting input_size: 2048 proj_min: 3.0 # bg-hue projection above which a pixel is suspect l_min: 45.0 # Lab lightness below which a pixel is exempt (dark hair) feather_sigma: 2.0 # zone-boundary feather, px gate_lo: 0.70 # primary alpha below this -> fully exempt gate_hi: 0.95 # primary alpha above this -> fully vetoable foreground: enabled: true method: ml fallback_to_unmix: true ml_regularization: 0.00001 # Legacy "unmix" method params (used only when method: unmix). edge_low: 0.005 edge_high: 0.995 min_unmix_alpha: 0.08 unmix_strength: 0.70 local_strength: 0.45 local_blur_radius: 11 local_alpha_threshold: 0.92 local_bg_confidence_max: 0.20 green_excess_margin: 0.015 bg_confidence_weight: 0.70 despill: enabled: true edge_low: 0.005 strength: 0.92 edge_expand_radius: 2 alpha_weight_floor: 0.35 color_margin_lab: 4.0 # Lab chroma margin along the background-colour direction