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Download README.md from CardAnvilModels/MI-GAN-ONNX: direct link, hf CLI and curl.
- Browser
- Download file 1.19 kB
-
https://huggingface.co/CardAnvilModels/MI-GAN-ONNX/resolve/main/README.md
- Command line
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hf download hf://CardAnvilModels/MI-GAN-ONNX/README.md
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curl -L -o README.md https://huggingface.co/CardAnvilModels/MI-GAN-ONNX/resolve/main/README.md
1.19 kB
metadata
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 uses it in the browser to remove watermarks from card art.
This is an unchanged copy of one file from andraniksargsyan/migan at commit 406830d, 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 by Picsart AI Research (PAIR), from MI-GAN: A Simple Baseline for Image Inpainting on Mobile Devices (ICCV 2023).
- ONNX export:
andraniksargsyan/migan.
Licensed under the MIT License, as the source is. See LICENSE.