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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).

Fuentehuggingface.co/dcharlot65-aurasense/triposr-onnx-web/tree/e23007c3ce90bb968eae014c0168981871fe2d0d
TipoOtherVersiónBackbone fp16Ccalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
95,4 KB–636 MB
Versión
vBackbone fp16
Actualizado
10 oct 2026
Fuente
Hugging Face

Descripción de la fuente

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.

Fuentes

1 fuente
Hugging FacePrincipalVersión e23007c3ce90bb968eae014c0168981871fe2d0d
huggingface.co/dcharlot65-aurasense/triposr-onnx-web/tree/e23007c3ce90bb968eae014c0168981871fe2d0d

Verificado 10 oct

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Artefactos del modelo

3 artefactos

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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Extractos de fuentes

2 extractos
Readme1 agohuggingface.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.

Note1 agohuggingface.co/dcharlot65-aurasense/triposr-onnx-web

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