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Triposr Onnx Web

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).

Sourcehuggingface.co/dcharlot65-aurasense/triposr-onnx-web/tree/e23007c3ce90bb968eae014c0168981871fe2d0d
KindOtherVersionBackbone fp16Cgrade

Model source

Kind
Other
File size
95.4 KB–636 MB
Version
vBackbone fp16
Updated
Oct 10, 2026
Source
Hugging Face

Source description

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. Input image (1,3,512,512) fp32 -> tokens (1,768,1025).
  • backbone_fp16.onnx (~666 MB) - triplane transformer. Input image_tokens (1,1025,768) -> scene_codes (1,3,40,64,64).
  • decoder_fp16.onnx (~0.1 MB) - triplane MLP. Inputs triplane (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.

Sources

1 source
Hugging FacePrimaryVersion e23007c3ce90bb968eae014c0168981871fe2d0d
huggingface.co/dcharlot65-aurasense/triposr-onnx-web/tree/e23007c3ce90bb968eae014c0168981871fe2d0d

Verified Oct 10

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Model artifacts

3 artifacts

backbone_fp16.onnx

onnx · 636 MB · SHA-256 d0bc00a5f6a7…edc7 · Hugging Face

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decoder_fp16.onnx

onnx · 95.4 KB · SHA-256 20315f1ddb74…7d99 · Hugging Face

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encoder_fp16.onnx

onnx · 165 MB · SHA-256 494063a59595…c966 · Hugging Face

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Source excerpts

2 excerpts
ReadmeAug 1huggingface.co/dcharlot65-aurasense/triposr-onnx-web

--- license: apache-2.0 tags: - triposr - image-to-3d - onnx - webgpu - onnxruntime-web library_name: onnxruntime --- # 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. Input `image` (1,3,512,512) fp32 -> `tokens` (1,768,1025). - `backbone_fp16.onnx` (~666 MB) - triplane transformer. Input `image_tokens` (1,1025,768) -> `scene_codes` (1,3,40,64,64). - `decoder_fp16.onnx` (~0.1 MB) - triplane MLP. Inputs `triplane` (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](https://github.com/VAST-AI-Research/TripoSR) (Tripo AI + Stability AI). Apache-2.0. This is a repackaging of those weights to ONNX for in-browser inference.

NoteAug 1huggingface.co/dcharlot65-aurasense/triposr-onnx-web

Source context: 0 downloads · 0 likes · Pipeline image-to-3d · Library onnxruntime · Repo dcharlot65-aurasense/triposr-onnx-web