Instructions to use SceneWorks/sapiens-normal-0.3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sapiens
How to use SceneWorks/sapiens-normal-0.3b with sapiens:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Sapiens normal 0.3B (SceneWorks safetensors rehost)
Safetensors re-container of Meta's Sapiens surface-normal 0.3B checkpoint, used by SceneWorks' MLX and Candle trainers for the frozen, differentiable surface-normal loss in character LoRA training.
Provenance
- Source: facebook/sapiens-normal-0.3b at revision
ada60522133d083464e5b70172adab7568ce6f49, filesapiens_0.3b_normal_render_people_epoch_66.pth. - Source sha256:
47792bbed2d3ea7537970230d5c6c7fb2b45c89bac384435bfbd6b2db03efb61(1,358,042,350 bytes). - License: CC-BY-NC-4.0, inherited from the source (non-commercial use only). Attribution: Meta Platforms, "Sapiens: Foundation for Human Vision Models".
- Conversion:
torch.load(weights_only=True)→ thestate_dicttensors saved withsafetensors.torch.save_file, keys UNCHANGED (backbone.*,decode_head.*); no tensor renamed, cast or dropped (the non-tensormetaentry is omitted). 304 tensors. Equivalent toscripts/reference/body_losses_reference.py --convertin the SceneWorks inference repo.
model.safetensors sha256: b37670417447b6da441111e0c950bf9e694bf92777616d81ee72b82d2f9387fc
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facebook/sapiens-normal-0.3b