Copy the files Card Anvil loads, unchanged

LICENSE

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+MIT License
+
+Copyright (c) 2024 ZhengPeng
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+---
+license: mit
+library_name: transformers.js
+base_model: ZhengPeng7/BiRefNet_lite
+pipeline_tag: image-segmentation
+tags:
+  - onnx
+  - birefnet
+  - background-removal
+  - dichotomous-image-segmentation
+  - webgpu
+  - transformers.js
+  - 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.
+
+This is an unchanged copy of the files Card Anvil loads from [`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), kept here so the app loads files that can't change under it. See the source repo for how the graph was patched and verified.
+
+| File | Source path |
+| --- | --- |
+| `config.json` | `config.json` |
+| `preprocessor_config.json` | `preprocessor_config.json` |
+| `onnx/model_fp16.onnx` | `onnx/model_fp16.onnx` |
+
+## 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).
+- 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).

config.json

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+{
+  "model_type": "swin",
+  "transformers.js_config": {
+    "dtype": "fp32"
+  }
+}

onnx/model_fp16.onnx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4059896039dfccb0f15b9080ff06d11d90e499449bb045e797055eb8901cf5f4
+size 114834127

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "ViTFeatureExtractor",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ViTFeatureExtractor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 1024,
+    "width": 1024
+  }
+}