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triposr-onnx-web
dcharlot65-aurasense/triposr-onnx-web
triposr-onnx-web is a image-to-3d model from dcharlot65-aurasense. Use it for the image-to-3d task on the model card, and read the license before you ship it in a product. It is set up for onnxruntime. The card lists the license as apache-2.0.
Single-image to 3D reconstruction. TripoSR exported to ONNX (fp16) and split into three sessions so it runs entirely in the browser on onnxruntime-web with the WebGPU execution provider (GridSample runs natively).
Access
Public
Updated Jul 1, 2026
Repo size
840 MB
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Repo makeup
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.onnx840 MB · 100%
At a glance
- Task
- Image-to-3D
- Library
- onnxruntime
- License
- apache-2.0
- Access
- Public
- Created
- Jul 1, 2026
- Updated
- Jul 1, 2026
- SHA
- e23007c3
Model card
From the Hugging Face model README
TripoSR fp16 ONNX for browser WebGPU
Single-image to 3D reconstruction. TripoSR exported to ONNX (fp16) and split into three sessions so it runs entirely in the browser on onnxruntime-web with the WebGPU execution provider (GridSample runs natively).
Files:
encoder_fp16.onnx(~173 MB) - ViT image encoder. Inputimage(1,3,512,512) fp32 ->tokens(1,768,1025).backbone_fp16.onnx(~666 MB) - triplane transformer. Inputimage_tokens(1,1025,768) ->scene_codes(1,3,40,64,64).decoder_fp16.onnx(~0.1 MB) - triplane MLP. Inputstriplane(3,40,64,64) +points(N,3) ->density(N,1),color(N,3).
Model I/O is fp32; weights are fp16. Preprocess: RGBA composited over 0.5 gray, bilinear antialias resize to 512x512. Decode a grid over (-0.87, +0.87), marching cubes at iso 25 on the density field.
Credit
Original model: VAST-AI-Research/TripoSR (Tripo AI + Stability AI). Apache-2.0. This is a repackaging of those weights to ONNX for in-browser inference.
- Task
- Image-to-3D
- Library
- onnxruntime
- License
- apache-2.0
- Created
- Jul 1, 2026
- Updated
- Jul 1, 2026