Instructions to use fernandotonon/QtMeshEditor-trellis2-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TRELLIS.2
How to use fernandotonon/QtMeshEditor-trellis2-gguf with TRELLIS.2:
# 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
Upload README.md with huggingface_hub
Browse files
README.md
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---
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license: mit
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tags:
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- image-to-3d
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- trellis2
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- gguf
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- qtmesheditor
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---
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# QtMeshEditor-trellis2-gguf
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GGUF weights for the [TRELLIS.2](https://github.com/microsoft/TRELLIS.2) image-to-3D pipeline, as consumed by
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[trellis.cpp](https://github.com/pwilkin/trellis.cpp) and by **QtMeshEditor's `trellis2` backend**
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(`qtmesh generate3d --backend trellis2`; QtMeshEditor invokes `trellis-cli --dump-post` and performs its own
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game-ready processing and PBR texture baking).
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Mirror of [`ilintar/trellis2-gguf`](https://huggingface.co/ilintar/trellis2-gguf) (conversions of the original
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checkpoints; thank you!). This mirror pins the exact set QtMeshEditor is tested against. Only the 512-pipeline
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subset plus the shared decoders is required by QtMeshEditor; the `*_1024` flows enable the higher-resolution cascade.
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## Files & licenses
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| file | source checkpoint | license |
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|---|---|---|
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| `ss_flow.gguf`, `shape_flow_512.gguf`, `tex_flow_512.gguf`, `shape_flow_1024.gguf`*, `tex_flow_1024.gguf`* | [`microsoft/TRELLIS.2-4B`](https://huggingface.co/microsoft/TRELLIS.2-4B) | **MIT** |
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| `shape_dec.gguf`, `tex_dec.gguf` | `microsoft/TRELLIS.2-4B` | **MIT** |
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| `ss_dec.gguf` | [`microsoft/TRELLIS-image-large`](https://huggingface.co/microsoft/TRELLIS-image-large) | **MIT** |
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| `dinov3.gguf` | [`timm/vit_large_patch16_dinov3.lvd1689m`](https://huggingface.co/timm/vit_large_patch16_dinov3.lvd1689m) (ungated mirror of Meta DINOv3 ViT-L) | **[DINOv3 License](https://ai.meta.com/resources/models-and-libraries/dinov3-license/)** (Meta; commercial use permitted, redistribution with conditions) |
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\* not uploaded yet if absent — the 512 pipeline works without them.
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**Built with DINOv3.** The `dinov3.gguf` conditioning encoder is a converted DINOv3 model distributed under
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Meta's DINOv3 License, not MIT — see the license link above; the rest of the repository is MIT.
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The overall `license: mit` tag reflects the majority of files; `dinov3.gguf` carries its own license as stated.
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