File size: 2,820 Bytes
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license: openrail++
base_model:
- oyiya/SuperMat
- sd2-community/stable-diffusion-2-1
pipeline_tag: image-to-image
tags:
- webgpu
- kaminos
- material-decomposition
- pbr
---
# SuperMat WebGPU Weights
Browser-loadable single-image SuperMat weights for the [Kaminos WebGPU Inference Kit](https://github.com/lyonsno/kaminos/tree/main/webgpu-inference-kit).
The [Material Photograph demo](https://lyonsno.github.io/kaminos/inference-kit/material-photo/) combines MoGe geometry and SuperMat albedo, roughness and metallic maps in an interactive relighting comparison. Its included examples can be explored before downloading weights.
## Package
`f16/package.json` describes 13 resources, tensor layouts and SHA-256 hashes. The chunked route downloads 1,939,155,200 weight bytes. Sixteen-MiB chunks permit verification and upload without handling a whole large bundle at once. Whole-bundle copies are also included for the adapter's bundle route; they are alternate storage of the same tensors, not another model needed by the demo.
Use an immutable Hub commit in the package URL:
```javascript
const weightsUrl = 'https://huggingface.co/BasinShapers/supermat-webgpu-weights/resolve/<commit>/f16/';
const adapter = await createSuperMatAdapter({route, weightsUrl, weightLoading: 'chunks'});
```
The browser adapter and its device/profile setup are in [Kaminos models/supermat](https://github.com/lyonsno/kaminos/tree/main/models/supermat). This repository contains weights, not executable model code.
## Sources And Terms
SuperMat checkpoint: [oyiya/SuperMat](https://huggingface.co/oyiya/SuperMat/tree/91ffb8edaf259a1e5bbcbcd53b702ad44d70b709), `supermat.pth`, SHA-256 `21d171726e8170e1ed566985be68ef3c5009d762800926ad85c1f288747b7b29`.
VAE: [sd2-community/stable-diffusion-2-1](https://huggingface.co/sd2-community/stable-diffusion-2-1/tree/bb2154823665391b4fb29b0b9cf82a198964ee05), SHA-256 `a1d993488569e928462932c8c38a0760b874d166399b14414135bd9c42df5815`.
The source SuperMat project is [hyj542682306/SuperMat](https://github.com/hyj542682306/SuperMat), by Yijia Hong and collaborators. Its MIT notice is included as `LICENSE-SUPERMAT`. The Stable Diffusion 2.1 components retain the CreativeML Open RAIL++-M license and its use restrictions, included as `LICENSE-MODEL`. Use and redistribution of this package are subject to that license, including Section III and Attachment A; the MIT notice does not remove those restrictions.
Modification notice for all `f16/` weight bundles and chunks: Kaminos converted matrix/convolution weights from float32 to binary16, retained vectors and conditioning in float32, and packed the tensors for browser GPU loading. No fine-tuning or new learned parameters were introduced. The manifests retain the source revision and checksums and identify every packed file.
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