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weights/2xNomosUni_compact_multijpg_ldl.pth

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weights/2xNomosUni_compact_otf_medium.pth

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weights/info.txt

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+See the information about the two models below:
+Author: Philip Hofmann
+License: CC BY 4.0
+Release Date: 11.01.2024 (dd/mm/yy)
+Trained with musl's [neosr](https://github.com/muslll/neosr), kim's [Datasetdestroyer](https://github.com/Kim2091/helpful-scripts/tree/main/Dataset%20Destroyer), and the Real-ESRGAN pipeline.
+
+---
+
+Name: 2xNomosUni_compact_multijpg_ldl
+Author: Philip Hofmann
+Release Date: 11.01.2024 (dd/mm/yy)
+License: CC BY 4.0
+Network: SRVGGNetCompact
+Scale: 2
+Purpose: 2x fast universal DoF preserving upscaler
+Iterations: 218'000
+epoch: 168
+batch_size: 12
+HR_size: 128
+Dataset: nomosuni
+Number of train images: 2989
+OTF Training: No
+Pretrained_Model_G: 2x-Compact-Pretrain
+
+Description:
+2x compact fast universal DoF preserving upscaler, pair trained with jpg degradation (down to 40) and multiscale (down_up, bicubic, bilinear, box, nearest, lanczos).
+
+Examples:
+[ani](https://slow.pics/c/Zd7UCmLP)  
+[face](https://slow.pics/c/wKiu7Orf) 
+[dofwheat](https://imgsli.com/MjMyNTU4)
+
+---
+
+Name: 2xNomosUni_compact_otf_medium
+Author: Philip Hofmann
+Release Date: 11.01.2024 (dd/mm/yy)
+License: CC BY 4.0
+Network: SRVGGNetCompact
+Scale: 2
+Purpose: 2x fast universal upscaler with medium degradation handling (jpg compression, noise, blur)
+Iterations: 276'000
+epoch: 218
+batch_size: 12
+HR_size: 128
+Dataset: nomosuni
+Number of train images: 2989
+OTF Training: Yes
+Pretrained_Model_G: 2xNomosUni_compact_otf_strong
+
+Description:
+2x compact fast universal upscaler with medium degradation handling using the Real-ESRGAN training pipeline, based off 2xNomosUni_compact_otf_strong. Handles jpg compression, some noise, and some blur (so dejpgs, denoises and deblurs).
+
+Examples:
+[RealPhoto](https://imgsli.com/MjMyNTUy)
+[Noisy](https://imgsli.com/MjMyNTUz)
+