| --- |
| license: apache-2.0 |
| tags: |
| - image-editor |
| - face-restoration |
| - inpainting |
| - background-removal |
| - upscaling |
| - colorization |
| - mirror |
| library_name: pytorch |
| --- |
| |
| # A.I.M.I Image Editor Tools Mirror |
|
|
| 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. |
|
|
| ## Folders |
|
|
| ### `face-restore/` — GFPGAN face restoration |
| - `GFPGANv1.4.pth` — Tencent GFPGAN v1.4 (Apache 2.0). 332 MB. |
| - `detection_Resnet50_Final.pth` — facexlib RetinaFace detector (MIT). 104 MB. |
| - `parsing_parsenet.pth` — facexlib face parser (MIT). 81 MB. |
|
|
| ### `removal-lama/` — LAMA object removal |
| - `big-lama.pt` — LAMA inpainting (Apache 2.0, Samsung Moscow). 196 MB. |
|
|
| ### `upscalers/` — ESRGAN + DAT |
| - `RealESRGAN_x4plus.pth` — Real-ESRGAN x4 (Apache 2.0, Xintao Wang). 64 MB. |
| - `4xNomos8kDAT.onnx` — DAT x4 photo-fine-tune (CC-BY-4.0, Phips Nomos8k). 61 MB. |
|
|
| ### `bgremove-birefnet/` — Background removal |
| - `birefnet_fp16.onnx` — BiRefNet ONNX (MIT, ZhengPeng7 et al., 2024). 467 MB. |
|
|
| ### `colorize-ddcolor/` — B&W colorization |
| - `ddcolor.onnx` — Alibaba DAMO DDColor (Apache 2.0). 870 MB. |
|
|
| ## Licenses |
|
|
| All components permit commercial use. See attributions. |
|
|
| ## Attribution |
|
|
| - **GFPGAN**: Tencent ARC (THL A29 Limited / Tencent) — *GFPGAN: Towards Real-World Blind Face Restoration with Generative Facial Prior* (2021). Apache 2.0. |
| - **facexlib**: Xintao Wang. MIT. |
| - **LAMA**: Roman Suvorov, Elizaveta Logacheva, Anton Mashikhin, Anastasia Remizova, Arsenii Ashukha, Aleksei Silvestrov, Naejin Kong, Harshith Goka, Kiwoong Park, Victor Lempitsky — *Resolution-robust Large Mask Inpainting with Fourier Convolutions* (WACV 2022). Apache 2.0. |
| - **Real-ESRGAN**: Xintao Wang, Liangbin Xie, Chao Dong, Ying Shan — *Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data* (ICCV 2021). Apache 2.0. |
| - **DAT**: Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang, Fisher Yu — *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. |
| - **BiRefNet**: Peng Zheng, Dehong Gao, Deng-Ping Fan, Li Liu, Jorma Laaksonen, Wanli Ouyang, Nicu Sebe — *Bilateral Reference for High-Resolution Dichotomous Image Segmentation* (2024). MIT. |
| - **DDColor**: Xiaoyang Kang, Tao Yang, Wenqi Ouyang, Peiran Ren, Lingzhi Li, Xuansong Xie (Alibaba DAMO Academy) — *DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders* (ICCV 2023). Apache 2.0. |
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