v2026.9.30
harry7557558/spirula-studiov2026.9.30Sep 30, 2026by harry7557558
Upgrading?
AI Summary
This release speeds up dataset creation and introduces partitioned training with model merging for large datasets. It adds natural-language prompting for SAM 2.1, BiRefNet masking, a pen tool for masks, and improved training ETA/VRAM forecasting, along with several bug fixes. The default masking model changes from SAM 3 to SAM 2.1 Base+ with Grounding DINO.
Key Highlights
- General speed improvements in dataset creation
- Split large datasets into parts, train separately, and merge results
- Natural language prompts for SAM 2.1 masking models and new BiRefNet model support
- Training VRAM forecasting and OOM warnings with improved ETA estimation
- Fixes for PLY loading from resumed training, COLMAP relative paths, and video decoding on some drivers
Breaking Changes
- Default masking model changed from SAM 3 to SAM 2.1 Base+ with Grounding DINO (2-3x faster, slightly reduced accuracy); SAM 3 remains available as a non-default option
New Features
- Partitioned dataset training with model merging
- Natural language prompting for SAM 2.1 masking
- BiRefNet masking model support
- Training VRAM forecasting and OOM warning
- Pen tool for mask editing
- Separate fixed-area mask per camera in dual-fisheye setups
- Improved telemetry usage in dataset creation
- Reduced chance of VkResult -4 errors in dataset creation and meshing
Full Release Notes
Changelog - General speed improvement in dataset creation - Support splitting a large dataset into multiple parts, then train separately and merge - Support natural language prompt for SAM 2.1 masking models - Support [BiRefNet](https://github.com/zhengpeng7/birefnet) masking model - Improved training ETA estimation, and added training VRAM forecasting and OOM warning - Reduced chance of "VkResult -4" error in dataset creation and meshing - Improved support for using telemetry information in dataset creation - Support pen tool for masks - Support using a separate fixed-area mask for each camera in dual-fisheye setups - Fixed error loading PLY saved from a resumed training - Fixed COLMAP dataset parsing error with relative paths - Fixed video decoding issues with some drivers Notes: - This release carries difference in SfM intended to be improvement. Please submit an issue if you notice significant regression in accuracy or speed compared to previous versions. - The default masking model has been changed from SAM 3 to SAM 2.1 Base+ with Grounding DINO, which provides 2-3x faster masking with slightly reduced accuracy. SAM 3 remains available as a non-default option.
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