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LICENSE) governs use of these weights. This repository is not affiliated with or endorsed by Meta.LICENSE; the convenience copies below keep their own licenses (LICENSE_YOLO_AGPL.txt, LICENSE_MOGE_MIT.txt).| File | Size | Description | License |
|---|---|---|---|
model.ckpt | 2.1 GB | Main SAM 3D Body checkpoint (DINOv3 backbone) | SAM License (see LICENSE) |
assets/mhr_model.pt | 696 MB | MHR (Meta Human Rig) parametric model | SAM License (see LICENSE) |
model_config.yaml | 1.5 KB | Model configuration | SAM License (see LICENSE) |
| File | Size | Source | License |
|---|---|---|---|
yolo11m-pose.pt | 42 MB | YOLO11m-pose from Ultralytics | AGPL-3.0 (see LICENSE_YOLO_AGPL.txt) |
moge-2-vits-normal.pt | 140 MB | MoGe-2 ViT-S Normal from Microsoft | MIT (see LICENSE_MOGE_MIT.txt) |
facebook/sam-3d-body-dinov3 repo unmodified. YOLO and MoGe copies are pinned snapshots from their respective upstream sources, included so the installer's first-run flow can pull all PyTorch weights from one place..pt/.pth files as "unsafe" by default because the pickle format CAN contain executable code. This label applies to mhr_model.pt and yolo11m-pose.pt in this repo. These files are bit-for-bit identical to their upstream sources (Meta's SAM 3D Body and Ultralytics YOLO11) where the same warning appears. No code modifications.