Copy the files Card Anvil loads, unchanged

LICENSE

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+MIT License
+
+Copyright (c) 2024 Picsart AI Research (PAIR)
+
+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: onnx
+pipeline_tag: image-to-image
+tags:
+  - onnx
+  - image-inpainting
+  - object-removal
+  - onnxruntime-web
+---
+
+# MI-GAN (ONNX pipeline)
+
+MI-GAN, a fast GAN for image inpainting, as an ONNX pipeline export that crops round the hole, fills at 512 × 512 and pastes the result back at any size. [Card Anvil](https://github.com/Card-Anvil) uses it in the browser to remove watermarks from card art.
+
+This is an unchanged copy of one file from [`andraniksargsyan/migan`](https://huggingface.co/andraniksargsyan/migan) at commit [`406830d`](https://huggingface.co/andraniksargsyan/migan/tree/406830d0fa60666da0071c342ad2fbc8f30c5c64), kept here so the app loads a file that can't change under it.
+
+| File | Source path |
+| --- | --- |
+| `migan_pipeline_v2.onnx` | `migan_pipeline_v2.onnx` |
+
+## Credits and licence
+
+- Model: [MI-GAN](https://github.com/Picsart-AI-Research/MI-GAN) by Picsart AI Research (PAIR), from *MI-GAN: A Simple Baseline for Image Inpainting on Mobile Devices* (ICCV 2023).
+- ONNX export: [`andraniksargsyan/migan`](https://huggingface.co/andraniksargsyan/migan).
+
+Licensed under the MIT License, as the source is. See [`LICENSE`](LICENSE).

migan_pipeline_v2.onnx

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