Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,90 @@
+---
+license: cc-by-nc-sa-4.0
+tags:
+  - third-eye
+  - image-restoration
+  - video-restoration
+  - super-resolution
+  - denoise
+  - deblur
+  - colorization
+  - frame-interpolation
+library_name: pytorch
+---
+
+# Third Eye - Model Weights Bundle
+
+Reliable mirror of AI model weights used by [Third Eye](https://github.com/Jacid23/Third_Eye), a media organizer with hidden editing dimensions.
+
+These weights are downloaded automatically by `scripts/fetch_models.py` during installation. Self-hosting them here removes dependency on upstream Google Drive links and unreliable community mirrors.
+
+## License
+
+The bundle is tagged **CC BY-NC-SA 4.0** — the most restrictive license among the included models. By using these weights you agree to:
+
+- **Non-commercial use only**
+- Provide **attribution** to the original authors (listed below)
+- Distribute any derivatives under the **same license**
+
+## Files and Attribution
+
+Every weight in this repo is a verbatim copy of the file released by its original author. Original sources and licenses below.
+
+### Denoise / Deblur (NAFNet)
+
+- `NAFNet-SIDD-width64.pth` — denoise model
+- `NAFNet-REDS-width64.pth` — deblur model
+
+**Authors:** Liangyu Chen, Xiaojie Chu, Xiangyu Zhang, Jian Sun (Megvii Research)
+**Upstream:** https://github.com/megvii-research/NAFNet
+**License:** MIT
+**Paper:** "Simple Baselines for Image Restoration" (ECCV 2022)
+
+### Frame Interpolation (RIFE)
+
+- `flownet.pkl` — RIFE 4.6 weights
+
+**Authors:** Zhewei Huang et al. (Practical-RIFE team)
+**Upstream:** https://github.com/hzwer/Practical-RIFE
+**License:** MIT (code) / non-commercial (weights, per author note)
+**Paper:** "Real-Time Intermediate Flow Estimation for Video Frame Interpolation"
+
+### Community Upscale Models
+
+- `4x-UltraSharp.pth` — community upscale model by Kim2091
+- `foolhardy_Remacri.pth` — community model by foolhardy
+- `RealisticRescaler_100000_G.pth` — community upscale model
+- `4x-UniScale-Balanced [72000g].pth` — UniScale community variant
+- `4x-UniScale-Strong [42400g].pth` — UniScale community variant
+
+**Upstream catalog:** https://openmodeldb.info/
+**License:** CC BY-NC-SA 4.0 (community convention for ESRGAN-derived models)
+
+Architecture is RRDBNet from Real-ESRGAN. Original Real-ESRGAN architecture:
+- **Authors:** Xintao Wang et al. (Tencent ARC Lab)
+- **Upstream:** https://github.com/xinntao/Real-ESRGAN
+- **License:** BSD-3-Clause
+
+## Usage
+
+Download programmatically via the Third Eye installer:
+
+```bat
+install.bat
+```
+
+Or directly:
+
+```bash
+wget https://huggingface.co/Jacid23/third-eye-models/resolve/main/NAFNet-SIDD-width64.pth
+```
+
+## Source Code
+
+Third Eye source: https://github.com/Jacid23/Third_Eye
+
+Model download script: `scripts/fetch_models.py`
+
+## Acknowledgements
+
+All credit for the models goes to their original authors and research teams. This repository exists only to provide reliable download mirrors for an open-source application that integrates these models. No modifications have been made to any weight file.