| --- |
| license: other |
| license_name: per-model |
| pipeline_tag: image-to-3d |
| tags: [onnx, image-to-3d, depth-estimation, triposr, modelado] |
| --- |
| |
| # Modelado models (ONNX) |
|
|
| The ONNX models [Modelado](https://github.com/alegauss/modelado) downloads to turn a photo |
| into a 3D model on Windows, with DirectML or on the CPU. They are converted from each |
| upstream's own weights and checked against PyTorch by `scripts/export_models.py`. Every |
| file is listed in `manifest.json` with its size and SHA-256, and the app refuses one that |
| differs. Each model keeps its upstream license: |
|
|
| | Model | Task | Variants | License | |
| | --- | --- | --- | --- | |
| | triposr-encoder | image-to-triplane | fp32 (1675 MB), fp16 (839 MB) | [MIT](https://huggingface.co/stabilityai/TripoSR/blob/5b521936b01fbe1890f6f9baed0254ab6351c04a/README.md) | |
| | triposr-decoder | triplane-decoder | fp32 (0.2 MB) | [MIT](https://huggingface.co/stabilityai/TripoSR/blob/5b521936b01fbe1890f6f9baed0254ab6351c04a/README.md) | |
| | depth-anything-v2-small | depth | fp32 (99 MB), fp16 (50 MB) | [Apache-2.0](https://huggingface.co/depth-anything/Depth-Anything-V2-Small-hf/blob/5426e4f0f36572d16453bbda7a8389317b1bef99/README.md) | |
| | u2net | background-removal | fp32 (176 MB) | [Apache-2.0 (U-2-Net weights), MIT (rembg export)](https://github.com/xuebinqin/U-2-Net/blob/master/LICENSE) | |
| | realesrgan-x4plus | upscale | fp32 (67 MB), fp16 (34 MB) | [BSD-3-Clause](https://github.com/xinntao/Real-ESRGAN/blob/master/LICENSE) | |
|
|
| `triposr-encoder` and `triposr-decoder` are [TripoSR](https://huggingface.co/stabilityai/TripoSR) |
| split in two: the encoder turns a 512 x 512 photo of an object into a triplane, the decoder |
| returns density and colour at any point of it, and the app extracts the mesh with marching cubes. |
|
|
