metadata
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 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 |
| triposr-decoder | triplane-decoder | fp32 (0.2 MB) | MIT |
| depth-anything-v2-small | depth | fp32 (99 MB), fp16 (50 MB) | Apache-2.0 |
| u2net | background-removal | fp32 (176 MB) | Apache-2.0 (U-2-Net weights), MIT (rembg export) |
| realesrgan-x4plus | upscale | fp32 (67 MB), fp16 (34 MB) | BSD-3-Clause |
triposr-encoder and triposr-decoder are 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.