Category: Alphas
Purpose: Alpha

Obsoleted by Joey's Fork - Alpha channels of PNGs

1ch-Alpha Lite

Interpolation between 4x-UltraSharp and 4x-TextSharp-v0.5. Works amazingly on anime. It also upscales text, but it's far better with anime content. I rebranded this model on 2/10/22 to 4x-AnimeSharp from 4x-TextSharpV1.

Pretrained model: Interpolation between 4x-UltraSharp and 4x-TextSharp-v0.5

AnimeSharp

Category: Drawings
Purpose: Art

Digital Art Upscaler

Pretrained model: 4xfalcoon300(manga).pth

DigiPaint

Purpose: Digital Animation

Replica of DigitalFrames 2.1 but interpolatable

DigitalFake 2.1

Purpose: upscale anime from dvd

Anime upscale from dvd with x4, a little softer lines and look but keeps the colors.

https://imgsli.com/MjM3ODEy

Drawimation compact

Manga-style images with or without dithering - cartoons, maybe pixel art, etc

FSMangaV2

Fatality Comix

Fatality Comix MK3

Purpose: 4x anime upscaler handling video compression artifacts, trained for 200 epochs

4x anime upscaler handling video compression artifacts since trained with otf degradations for "mpeg2video", "libxvid", "libx264", "libx265" with crf 20-32, mpeg bitrate 3800-5800 (together with the standard Real-ESRGAN otf pipeline). A faster arch using this otf degradation pipeline would be great for handling video compression artifacts. Since this one is a GRL model and therefore slow, [as noted by the dev](https://github.com/Kiteretsu77/VCISR-official/issues/3) maybe more for research purposes (or more for single images/screenshots). Trained using [VCISR](https://github.com/Kiteretsu77/VCISR-official) for 200 epochs.  

"This is epoch 200 and the start iteration is 85959 with learning rate 2.5e-05"  

Slow Pics examples:  
[h264_crf28](https://slow.pics/c/fqOnxXep)  
[ludvae1](https://slow.pics/c/OcukRy7d)  
[ludvae2](https://slow.pics/c/FI33mX4F)

HFA2k VCISR GRLGAN ep200

Category: Cel Animation
Purpose: Traditional Animation

A rougher alternative to 4xCelFrames with a focus on realistic looking cels over nice looking cels. It's trained on DetoriationFrames LRs, so if you give it an image straight from the source it will go twice as hard on it. This can be used to your advantage, though. I recommend cleaning it up before running DetoriationFrames, or else it will come out rough.

HellinaCel

Upscale Anime while keeping as much of the original detail as possible. Isn't among the sharpest models and if the anime is somewhat blurry it will retain that detail but add more pixels to give a smoother edge. Doesn't change the color very much and may make some scene's very slightly darker.

Pretrained model: Pony Models

Loyaldk Giroro

Loyaldk Keroro

Pretrained model: 4x_DIV2K-Lite_1M (`4x_NMKD-YandereNeo-Lite_320k` for the 2x conversion)

NMKD YandereNeo (4x)

NMKD YandereNeo Superlite

NMKD YandereNeo XL

This model was made for my project captain tsubasa anime so i don't know if it works good for anything else. just try it ;)

OLDIES_ALTERNATIVE_FINAL

i made this model to upscale old anime and denoise.

OLDIES_FINAL

After not being entirely happy with the main Spongebob v6 model, I trained a new one with blurring OTF options and two different downscale types. This one is much better in my opinion.

Spongebob v6 Deblur

This model is based on a private model by @eula 5600x 3070 named 4x_eula_anifilm_v1_225k. He sent me a copy of the model, and I decided to train a compact model based on it with his permission. This model seems to fix the majority of the issues the original model had while being far faster, it's just a tiny bit softer in some images.

The dataset consists of Dragon Ball movies converted to YUV24 with @sgdisk --zap-all /dev/sda's help to reduce artifacts, then upscaled with ArtClarity and eula_anifilm. LRs are the original frames right from DVD. As a result, this model corrects some color space issues. The 2x model's HRs were downscaled by 50% with Lanczos.

The 2x and 4x models are pretty close in output despite being trained separately. The 2x model is a bit softer overall.

The models in the Real-ESRGAN Compatible folder are the original output from Real-ESRGANs training code for compatibility reasons.

Anifilm Compact (4x)

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

Category: DeToon
Purpose: Detooning

A toon to realistic shading style model to wiki under drawings

detoon

detoon alt

Purpose: Anime / Visual Novel Art

Third iteration of my eroge upscaling model. Discriminator: https://drive.google.com/file/d/18q-4ktFNZ8tPjkszuoG6kVBhCjKl8iFa/view?usp=sharing

escale

Upscaling cel animation. Trained this more than a year ago, releasing cause I've got a much better v2 and v3 now.

Architecture	ESRGAN
Scale	4x
Size	64nf23nb
Color Mode	RGB
License	CC0-1.0 Private use Commercial use Distribution Modifications No Liability & Warranty Disclaimer
Date	2019-09-07
Dataset	Random digital art scraped from the internet. Mostly material studies but other stuff as well.
Dataset size	48493
Training iterations	35000
Training epochs	6
Training batch size	6
Training HR size	128

DigiPaint

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