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- .gitattributes +32 -0
- gnu/mitch1337/AbeScale R6/4x_AbeScale_R6_110k_FINAL.pth +3 -0
- gnu/mitch1337/AbeScale R6/4x_AbeScale_R6_110k_FINAL_Soft.pth +3 -0
- gnu/mitch1337/AbeScale R6/4x_AbeScale_Remixed.pth +3 -0
- gnu/mitch1337/AbeScale R6/Readme.md +36 -0
- gnu/mitch1337/AbeScale R6/Training Dataset/Raster Dataset.7z +3 -0
- gnu/mitch1337/AbeScale R6/Training Dataset/Reillustrated Scenes - Vector.ai +3 -0
- gnu/mitch1337/AbeScale R6/Training Dataset/mrb.png +0 -0
- gnu/mitch1337/AbeScale R6/d-4x_AbeScale_R6_110k_FINAL.mp4 +3 -0
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- gplx3/Jacob/4xJaypeg90.pth +3 -0
- gplx3/Phoenix/SpongeBob.CEL.2.HD.125ki.499e-PHOENiX.pth +3 -0
- gplx3/buildist/4xBox.pth +3 -0
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- unlicense/Phoenix/Sol.Levante.NTSC2HD-PHOENiX/150k [epoch 760, psnr 31.331, ssim 0.84292, lpips 0.029].pth +3 -0
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- unlicense/Phoenix/Sol.Levante.NTSC2HD-PHOENiX/250k [epoch 1268, psnr 32.062, ssim 0.84325, lpips 0.02338].pth +3 -0
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- unlicense/Phoenix/Sol.Levante.NTSC2HD-PHOENiX/examples/f1000/[HR] - Untouched.png +3 -0
- unlicense/Phoenix/Sol.Levante.NTSC2HD-PHOENiX/examples/f1000/[LR] - Untouched.png +0 -0
- unlicense/Phoenix/Sol.Levante.NTSC2HD-PHOENiX/examples/f1000/[PSEUDO] - 100k.png +3 -0
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# **AbeScale R6 - Release Candidate**
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### A purpose-built upscale model for ESRGAN intended to upscale Clone High to 4k
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![mrb.png](Training%20Dataset/mrb.png?fileId=35528#mimetype=image%2Fpng&hasPreview=true)
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## UPDATE:
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**May 5, 2021** - I've added a new version of AbeScale (4x_AbeScale_Remixed.pth) that incorporates a bit of another model for improved reliability and texture. It comes at the expense of razor-sharp clarity, but it can be a nicely-balanced alternative to the normal one.
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##### Summary
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This model was originally conceived as a proof of concept to test a theory that an ESRGAN upscaling model could be trained on professionally re-illustrated scenes from the original show. This model is the result of a few long evenings re-building screenshots from the DVD from scratch.
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The re-illustrated frames are exported in raster form to target 4k, but theoretically since the scenes are in a vector format, there is no upper limit to what the show could be upscaled to in the future. An 8k model is immediately possible with the same data set.
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Finally, to finish the model and maintain fidelity of color, it is interpolated against [Adad2.pth](https://drive.google.com/file/d/1weX_LIADpCEdxJRFW0D8pD98TveSXSlE/view), a model trained on American Dad.
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The dataset, as well as the original vector files, are available as well if anyone can think of ways to improve the level of detail on backgrounds. My hunch is that it might require a digital painter to redo those as well and train a linework model and a background model, then combine them via interpolation. Feel free to pick up from here.
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##### Data
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* **License:** GNU Model
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* **Architecture:** 4x_ESRGAN
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* **Scale:** 4x
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* **Iterations:** 110,000
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* **batch_size:** 512
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* **HR_size:** 8
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* **Epoch:** 33,000
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* **n_frames:**
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* **Dataset:** LR: 8 | HR: 8
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* **Dataset_size:** 8
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##### Attribution
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Hi. My name is **msprout**, and I did this model. Licensed under GNU, not for profit.
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