| ---
|
| license: mit
|
| library_name: transformers.js
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| base_model: ZhengPeng7/BiRefNet_lite
|
| pipeline_tag: image-segmentation
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| tags:
|
| - onnx
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| - birefnet
|
| - background-removal
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| - dichotomous-image-segmentation
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| - webgpu
|
| - transformers.js
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| - onnxruntime-web
|
| ---
|
|
|
| # BiRefNet-lite 1024 (ONNX, WebGPU-runnable)
|
|
|
| BiRefNet-lite at 1024 × 1024 as an fp16 ONNX export whose graph is patched to run on WebGPU in the browser; the weights are unchanged. [Card Anvil](https://github.com/Card-Anvil) uses it with [Transformers.js](https://github.com/huggingface/transformers.js) to select the main subject of card art.
|
|
|
| These are unchanged copies of the files in [`jiabins0303/birefnet-lite-1024-webgpu`](https://huggingface.co/jiabins0303/birefnet-lite-1024-webgpu) at commit [`1ad01ce`](https://huggingface.co/jiabins0303/birefnet-lite-1024-webgpu/tree/1ad01cef0f4101a285c5a3e0bd7f15597d93403f), at the same paths, kept here so the app loads files that can't change under it.
|
|
|
| | Files | What they are | Loaded by Card Anvil |
|
| | --- | --- | --- |
|
| | `config.json`, `preprocessor_config.json`, `onnx/model_fp16.onnx` | The model | Yes |
|
| | `scripts/patch_split.py`, `scripts/patch_deform.py`, `scripts/verify_patch.py` | The scripts that rewrote the graph to run on WebGPU, and the check that the result matches the original | No, kept for later |
|
| | `SOURCE_README.md` | The source repo's README: how and why the graph was patched, and how it was verified | No |
|
|
|
| ## Credits and licence
|
|
|
| - Model: [BiRefNet](https://github.com/ZhengPeng7/BiRefNet) by Peng Zheng et al. ([`ZhengPeng7/BiRefNet_lite`](https://huggingface.co/ZhengPeng7/BiRefNet_lite)), from *Bilateral Reference for High-Resolution Dichotomous Image Segmentation* (CAAI AIR 2024).
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| - WebGPU-runnable export: [`jiabins0303/birefnet-lite-1024-webgpu`](https://huggingface.co/jiabins0303/birefnet-lite-1024-webgpu).
|
|
|
| Licensed under the MIT License, as the original model is. See [`LICENSE`](LICENSE).
|
|
|
