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 Real-ESRGAN aims at developing **Practical Algorithms for General Image Restoration**.<br>
 We extend the powerful ESRGAN to a practical restoration application (namely, Real-ESRGAN), which is trained with pure synthetic data.
 
-:triangular_flag_on_post: The training codes have been released. A detailed guide can be found in [Training.md](Training.md).
+:triangular_flag_on_post: **Updates**
+
+- [x] [Inference code](inference_realesrgan.py) supports: 1) tile inference; 2) images with alpha channel; 3) gray images; 4) 16-bit images.
+- [x] The training codes have been released. A detailed guide can be found in [Training.md](Training.md).
 
 ### :book: Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data