This model is designed to upscale game screenshots (3D Games) by 4 times. The SPSR version is an improvement over the ESRGAN based V2.

BS_ScreenBooster_SPSR

Nice to release a model again! This one is intended for realistic imagery, and works especially well on faces, hair, and nature shots. It should only be used on somewhat clear shots, without a lot of grain. I trained this model on SPAN, which as of the time of release, you'll need chaiNNer-nightly for. I aimed for a softer, more natural look for this model with as few artifacts as possible.

In addition to the Normal model, I've included a "soft" model. The Soft model is... softer. Basically it was an earlier version of the model with a more limited dataset. It produces more natural output on games or rendered content, but suffers a bit more with realistic stuff.

Note: In shots with DOF (depth of field) or bokeh, unfortunately there will be artifacts. 

Compatibility: You'll have to use the latest chaiNNer-nightly to use this model

ClearRealityV1

DAT descreenton model, designed to reduce discrepancies on tiles due to too much loss of the first version, while getting rid of the removal of paper texture https://discord.com/channels/547949405949657098/944307589284495410/1192058535257854042

DWTP DS dat2 v3

Purpose: remove screentone

in some places an improved version 4x_DWTP_DS_dat2_v3 one of my friends likes it less than 3 and another more so here is v3_2

[raw](https://media.discordapp.net/attachments/771403403372527656/1201288063666634842/raw.png?ex=65d28031&is=65c00b31&hm=3400b1731a8907aec6315da5513e4e3b02ac162c160f990ec780d54451e39ea1&=&format=webp&quality=lossless&width=323&height=459) - [v3](https://cdn.discordapp.com/attachments/771403403372527656/1201288064077660271/dat3.png?ex=65d28031&is=65c00b31&hm=6211a2344c4b6e53cafe6f4618aecd4c48c6c48babba4ca2c9fa5c980ab1e665&) - [v3.2](https://cdn.discordapp.com/attachments/771403403372527656/1201288064492904528/dat4.png?ex=65d28031&is=65c00b31&hm=294a2145d28e31d3f9b9dbbf92cbc15ea90694e2ab18a49d386e2c8ce6969aa0&)

p.s. Sorry for the size of all this and examples with links, it was just easier with real examples, and I don’t have the opportunity to try something with all of them now

DWTP DS dat2 v3 2

I've been experimenting a lot since the last descripton was released to save even more detail, and to get rid of some of the beginner's soreness. All three models are not yet perfect and I will develop them, but what is the essence of the three models, the models on omni is just a division of VL eats less large screenton, VH is just a re-trained model on a modified dataset and with VL as a prevoritolnoy shadowing that it would demolish more screenton, while not going to demolish all the textures and very large screenton. Esrgan model was trained on a dataset VH for use in the colab, it works in some places worse than Omni, so could not fight with overlapping screenton.

DWTP_descreenton_H_esrgan

DWTP_descreenton_VH4

DWTP_descreenton_VL4

Fine-tuned 4xFSDedither to upscale images from the game Riven, but should be better in general, particularly on ordered dithering. I adjusted the dataset to have a better variety of dithering parameters, and turned up the HFEN and pixel loss to get better details and color restoration with less noise.

FSDedither Riven

Category: Fabric/Cloth
Purpose: Fabric

This model set upscales fabric or cloth textures (works on cats too!). The Alt model is just an earlier iteration version. It may work better on some images.The images need to be minimally compressed or passed through a decompression model first. It works with DDS compression though.

Fabric

Fabric-Alt

Purpose: Anime PSP games, Fate Extra

This model was trained as a favor to Demon and the Fate Extra community. It leaves a nice grain on the images and upscales lines and details accurately without looking odd. This model works on most anime-style PSP games. Enjoy! It works best on content with dithering and quantization. NOTICE: I have included both NCNN and ONNX models to make upscaling easier if you rely on either of these. For NCNN, there's two versions. One is FP16 and the other is FP32. FP16 works best on RTX GPUs. Choose FP32 if in doubt about compatibility, or if FP16 doesn't work for you. To use ONNX, download chaiNNer and upscale through there with the ONNX nodes.

FatePlus-lite

Images from the Fate/Extra games. Works better on the newer ones.

Just a model I trained quickly to test traiNNer-redux and see what I could do with OTF. Works well enough

FatePlus Compact

4x realistic upscaler that may also work for general purpose usage. Trained on Bicubic downscaled tiles from very high quality images.

FrankendataPretainer_SRFormer

This model is intended to mainly handle PS2 compression and a mixture of Realistic and cartoonish textures, it's not meant to be used for very low resolution textures such as item icons.

GameAI 1.0

GameAI 2.0

Purpose: Chainmail game textures. Alternatively, it can be used to turn plain images into chainmail.

A highly generative model for chainmail game textures. Works fairly well on items without visible chainmail texture (ie just a grey area) or items with clear chainmail texture, less well on items with present but poorly defined chainmail texture. I'm not 100% happy with it but it is still an improvement over existing models in enough situations to be worth releasing.

Link

Purpose: Upscaling pack.png

Designed to upscale one specific minecraft screenshot. Results on dissimilar screenshots may be poor.

MinecraftAlphaUpscaler with Good data

Purpose: Upscaling pack.png

Upscales Minecraft screenshots by 4x. May suffer from haloing, weird patterns on blocks and JPEG-like artifacts.

Minepack

Purpose: Coins

Upscale coins. That's it. If you were mad at me because Nickelback doesn't make any sense. Now you have the perfect solution to your problems. If you want to upscale nickels or anything with similar texture made out of metal, now you can. It works pretty well for a joke.

Nickelfront

Purpose: Upscaling pack.png

Designed to upscale one specific minecraft screenshot. Results on dissimilar screenshots may be poor.

Pretrained model: 4xESRGAN originally, but I used each previous version as a pretrained until I got to v4.

PackCraft v4

ScreenBooster V2

Anime super-resolution, with real degradation.

animerd v1

This is the first community model using the OmniSR network. I trained it mostly to test this network.\nNote: the model output decreases brightness. This is a well known issue we had with OmniSR.

4x_ardo

Purpose: Grayscale pencil/sketch style art with paper textures (Made in Abyss specific)

Old model trained for pencil sketch style art, good at restoring the paper and pencil and other textures , specifically the Made in Abyss manga, but should work for art with a similar style.

Comparison:
https://slow.pics/c/D0MuvwLY

eula digimanga MiA 65k

Black and white digital manga with halftones.

Architecture	ESRGAN
Scale	4x
Size	64nf23nb
Color Mode	RGB
License	CC-BY-NC-SA-4.0 Private use Distribution Modifications Credit required Same License State Changes No Liability & Warranty Disclaimer
Date	2020-01-26
Dataset	Custom -> `https://drive.google.com/file/d/1N5BQgLJ59zNRwiPbf4nRsLLBT2WoVwaN/view` + `https://mega.nz/#!lpMHRAqS!bHN9Ioj7l2Gfvm1HOxTR8rqcGNrrx3Ai-1-bj7YejuU` (crowdsourced, posted in #post-your-screenshot-zips-here in SalC1's Discord Server)
Dataset size	53390
Training iterations	68000
Training epochs	10
Training batch size	8
Training HR size	128

Minepack

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