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README.md

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+---
+license: bsd-3-clause
+tags:
+  - image-super-resolution
+  - real-esrgan
+  - safetensors
+---
+
+# Real-ESRGAN Models (SafeTensors)
+
+Pretrained Real-ESRGAN model weights converted from PyTorch to SafeTensors format for use with [gabagool](https://github.com/wkrettek/gabagool), a Rust implementation of Real-ESRGAN using the Burn ML framework.
+
+## Models
+
+| File | Original Model | Architecture | Scale | Size |
+|------|---------------|-------------|-------|------|
+| `realesrgan_x4plus.safetensors` | RealESRGAN_x4plus | RRDBNet (23 blocks) | 4x | 67 MB |
+| `realesrgan_x4plus_anime_6B.safetensors` | RealESRGAN_x4plus_anime_6B | RRDBNet (6 blocks) | 4x | 18 MB |
+
+## License
+
+These weights are converted from the official [Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN) release and are distributed under the same **BSD 3-Clause License**.
+
+Copyright (c) 2021, Xintao Wang. All rights reserved.
+
+See the [Real-ESRGAN LICENSE](https://github.com/xinntao/Real-ESRGAN/blob/master/LICENSE) for full terms.
+
+## Citation
+
+```bibtex
+@InProceedings{wang2021realesrgan,
+    author    = {Xintao Wang and Liangbin Xie and Chao Dong and Ying Shan},
+    title     = {Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data},
+    booktitle = {International Conference on Computer Vision Workshops (ICCVW)},
+    date      = {2021}
+}
+```