alegauss/modelado-models

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.