Mirror Edit-tab AI tool weights (GFPGAN, LAMA, ESRGAN, DAT, BiRefNet, DDColor) - Stage 5
Browse files- README.md +50 -0
- bgremove-birefnet/birefnet_fp16.onnx +3 -0
- colorize-ddcolor/ddcolor.onnx +3 -0
- face-restore/GFPGANv1.4.pth +3 -0
- face-restore/detection_Resnet50_Final.pth +3 -0
- face-restore/parsing_parsenet.pth +3 -0
- removal-lama/big-lama.pt +3 -0
- upscalers/4xNomos8kDAT.onnx +3 -0
- upscalers/RealESRGAN_x4plus.pth +3 -0
README.md
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---
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license: apache-2.0
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tags:
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- image-editor
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- face-restoration
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- inpainting
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- background-removal
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- upscaling
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- colorization
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- mirror
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library_name: pytorch
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---
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# A.I.M.I Image Editor Tools Mirror
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Central mirror for the weights used by the A.I.M.I image editor tab's one-shot AI operations. Re-hosted from upstream for stable URLs; contents unmodified.
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## Folders
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### `face-restore/` β GFPGAN face restoration
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- `GFPGANv1.4.pth` β Tencent GFPGAN v1.4 (Apache 2.0). 332 MB.
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- `detection_Resnet50_Final.pth` β facexlib RetinaFace detector (MIT). 104 MB.
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- `parsing_parsenet.pth` β facexlib face parser (MIT). 81 MB.
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### `removal-lama/` β LAMA object removal
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- `big-lama.pt` β LAMA inpainting (Apache 2.0, Samsung Moscow). 196 MB.
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### `upscalers/` β ESRGAN + DAT
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- `RealESRGAN_x4plus.pth` β Real-ESRGAN x4 (Apache 2.0, Xintao Wang). 64 MB.
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- `4xNomos8kDAT.onnx` β DAT x4 photo-fine-tune (CC-BY-4.0, Phips Nomos8k). 61 MB.
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### `bgremove-birefnet/` β Background removal
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- `birefnet_fp16.onnx` β BiRefNet ONNX (MIT, ZhengPeng7 et al., 2024). 467 MB.
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### `colorize-ddcolor/` β B&W colorization
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- `ddcolor.onnx` β Alibaba DAMO DDColor (Apache 2.0). 870 MB.
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## Licenses
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All components permit commercial use. See attributions.
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## Attribution
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- **GFPGAN**: Tencent ARC (THL A29 Limited / Tencent) β *GFPGAN: Towards Real-World Blind Face Restoration with Generative Facial Prior* (2021). Apache 2.0.
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- **facexlib**: Xintao Wang. MIT.
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- **LAMA**: Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin Kong, Harshith Goka, Kiwoong Park, Victor Lempitsky β *Resolution-robust Large Mask Inpainting with Fourier Convolutions* (WACV 2022). Apache 2.0.
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- **Real-ESRGAN**: Xintao Wang, Liangbin Xie, Chao Dong, Ying Shan β *Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data* (ICCV 2021). Apache 2.0.
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- **DAT**: Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang, Fisher Yu β *Dual Aggregation Transformer Is More Accurate for Super-Resolution* (ICCV 2023). Apache 2.0 code. Photo fine-tune by Phips, released CC-BY-4.0.
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- **BiRefNet**: Peng Zheng, Dehong Gao, Deng-Ping Fan, Li Liu, Jorma Laaksonen, Wanli Ouyang, Nicu Sebe β *Bilateral Reference for High-Resolution Dichotomous Image Segmentation* (2024). MIT.
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- **DDColor**: Xiaoyang Kang, Tao Yang, Wenqi Ouyang, Peiran Ren, Lingzhi Li, Xuansong Xie (Alibaba DAMO Academy) β *DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders* (ICCV 2023). Apache 2.0.
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bgremove-birefnet/birefnet_fp16.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:3654c741eb80bd926ada8fed1713b506ccf8d30eb1f6487e87eb9f234f33df09
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size 489666272
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colorize-ddcolor/ddcolor.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:0a8bc92e8289cb1ff782dca474c5f365cf6da1c009bb2b0d79f28125bc222cca
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size 912105703
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face-restore/GFPGANv1.4.pth
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version https://git-lfs.github.com/spec/v1
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size 348632874
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face-restore/detection_Resnet50_Final.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:6d1de9c2944f2ccddca5f5e010ea5ae64a39845a86311af6fdf30841b0a5a16d
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size 109497761
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face-restore/parsing_parsenet.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:3d558d8d0e42c20224f13cf5a29c79eba2d59913419f945545d8cf7b72920de2
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size 85331193
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removal-lama/big-lama.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:7ba7aa7ac37a4d41fdbbeba3a2af7ead18058552997e3a3cd1a3b2210c9e6b4c
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size 205803670
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upscalers/4xNomos8kDAT.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:b135b3fd1a774e4570aecafee682d961279a2e84d19c700d299c514c71ce7ae3
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size 64515025
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upscalers/RealESRGAN_x4plus.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:4fa0d38905f75ac06eb49a7951b426670021be3018265fd191d2125df9d682f1
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size 67040989
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