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# ComfyUI-RMBG Update Log
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## V3.2.0 (2026/09/30)
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### New Features & Model Upgrades
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- **SAM3 Multiplex Upgrade**: Upgraded to the new SAM3 Multiplex node with native support for `safetensors` format models (`sam3.safetensors`, `sam3.1_multiplex_fp16.safetensors`).
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- **Instant VRAM Release (`unload_model`)**: Added an optional `unload_model` toggle across all nodes (`RMBG`, `BiRefNet`, `SAM2`, `SAM3`, `Segment`, `SDMatte`, `YOLOv8`, `LamaRemover`, etc.) to instantly free up GPU memory after execution.
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- **Apple Silicon (MPS) Acceleration**: Added native GPU acceleration support for macOS users across segmentation nodes.
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### Performance & Startup Speed
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- **Ultra-Fast ComfyUI Startup**: Drastically optimized startup loading time, reducing node registration scan time from ~15s to <0.1s. ([#183](https://github.com/1038lab/ComfyUI-RMBG/pull/183))
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### UI Improvements
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- **Modern HSV Color Picker**: Revamped the COLORCODE widget with a custom HSV palette panel and real-time live preview for ComfyUI Vue Node 2.0. ([#204](https://github.com/1038lab/ComfyUI-RMBG/pull/204))
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### Bug Fixes & Stability
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- **Transformers 5.x Compatibility**: Fixed compatibility crashes across RMBG-2.0, SAM, SAM2, and GroundingDINO backbones when running on newer `transformers` versions. ([#194](https://github.com/1038lab/ComfyUI-RMBG/pull/194), [#207](https://github.com/1038lab/ComfyUI-RMBG/issues/207))
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- **RMBG Batch Processing Stability**: Enhanced batch inference reliability and resolved image dimension mismatch issues. ([#202](https://github.com/1038lab/ComfyUI-RMBG/pull/202))
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- **SDMatte Node Resilience**: Resolved crashes on unmasked inputs with automatic fallback and improved multi-shape mask handling.
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- **ImageCrop & SAM3 Conflicts**: Fixed tensor dimension errors in `ImageCrop` when splitting and resolved naming conflicts with other SAM3 custom nodes. ([#206](https://github.com/1038lab/ComfyUI-RMBG/issues/206), [#209](https://github.com/1038lab/ComfyUI-RMBG/issues/209))
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## V3.1.0 (2026/07/21)
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### New Model
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- Added `Lucida` model to BiRefNet node
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