Revision as of 03:49, 20 October 2021

If a model has no license, that means all rights reserved. You will need a private license or explicit permission from the creator to use it commercially or with modifications. However you may use all model here on non-commercial projects, that may not in any way cost money. If you gain permission to use a model in another way including commercially, you should still credit the author and link to the original model source.

ESRGAN ("old Architecture") Models

Models that use the "old" ESRGAN architecture. They can be used either with the official ESRGAN repository (old arch tag) and BasicSR (old arch or preferably victorc's traiNNer version). You can also use tools that wrap around one of them, like IEU from Honh or Cupscale by Nmkd.

Image scaling and Video upscaling

Universal Models

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
CountryRoads	EzoGaming	4x	WTFPL	ESRGAN	Universal Upscaler	2021-08-26	Streets with dense foliage in the background. Outdoor scenes.	4xPSNR	https://cdn.discordapp.com/attachments/547949806761410560/880291337373618236/unknown.png, https://media.discordapp.net/attachments/547949806761410560/880290211026853918/unknown.png, https://media.discordapp.net/attachments/547949806761410560/880299665428447232/unknown.png, https://cdn.discordapp.com/attachments/880291340301254657/880303552315146340/unknown.png
Remacri	Foolhardy	4x	CC BY-NC-SA 4.0		General Upscaler	2021-04-09	A creation of BSRGAN with more details and less smoothing, made by interpolating IRL models such as Siax, Superscale, Superscale Artisoft, Pixel Perfect, etc. This was, things like skin and other details don't become mushy and blurry.	none - interpolated
UniScale-Balanced/Strong (Includes Interp)	Kim2091	4x	CC BY-NC-SA 4.0	ESRGAN	Universal Upscaler	2021-08-23	UniScale strikes a nice balance between sharpness and realism. This model can upscale almost anything well. It was originally intended to upscale game textures, but was expanded into a universal upscaler. Interp is these two models interpolated.	4xESRGAN	https://slow.pics/c/i75q0yN1
UniScaleNR-Balanced/Strong	Kim2091	4x	CC BY-NC-SA 4.0	ESRGAN	Universal Upscaler	2021-08-23	Version of UniScale trained with camera noise injection (NR = Noise Removal). This model removes noise from images while upscaling.	4xESRGAN	https://slow.pics/c/UkCwdK13
UniScale_Restore	Kim2091	4x	CC BY-NC-SA 4.0	ESRGAN	Universal Upscaler	2021-08-27	UniScale_Restore has strong compression removal that helps with restoring heavily compressed or noisy images. It is intended to compete with BSRGAN. Trained with BSRGAN_Resize and Combo_Noise in traiNNer.	4xESRGAN	https://cdn.discordapp.com/attachments/880826637543964712/880934732748169226/unknown.png, https://cdn.discordapp.com/attachments/880826637543964712/880932754102026290/unknown.png
UniScaleV2_Soft/Moderate/Sharp	Kim2091	4x	CC BY-NC-SA 4.0	ESRGAN	Universal Upscaler	2021-09-06	This model set is much sharper overall than UniScale V1. These models work great on game textures when interpolated 50/50 with UniScale_Restore, and work amazingly on uncompressed images. DO NOT USE FOR COMPRESSED IMAGES, use the original UniScale for that.	4xESRGAN	https://cdn.discordapp.com/attachments/884239326471393331/884296266857713704/unknown.png https://cdn.discordapp.com/attachments/884239326471393331/884294468709257216/unknown.png https://cdn.discordapp.com/attachments/884239326471393331/884298572894441512/unknown.png https://cdn.discordapp.com/attachments/884239326471393331/884302370136289323/unknown.png
Misc	Alsa	4x	CC BY-NC-SA 4.0	ESRGAN	General Upscaler		The Misc model is trained on various pictures shot by myself (Alsa), including bricks, stone, dirt, grass, plants, wood, bark, metal and a few others.	Manga109Attempt
FuzzyBox	BlueAmulet	4x	CC BY-NC 4.0	ESRGAN	General upscaler	2020-07-21	Photographs, Artwork, Textures, Anything really - Tried out a new pixel loss idea based on ensuring the HR downscaled matches the LR. Colors are pretty good as well as edges, but generated details seem slightly fuzzy hence the name.	RRDB_ESRGAN_x4
Lollypop	LyonHrt	4x	CC BY-NC-SA 4.0	ESRGAN	General upscaler	2020-09-11	A universal model, that is aimed at prerendered images, but handles realistic faces, manga, pixel art and dedithering as well. Trained using the patchgan discriminator, with cx loss, cutmixup and frequency separation, it produces good results with a slight grain due to patchgan, with some sharpening using cutmixup.	4X_esrgan.pth
UniversalUpscalerV2	Mutin_Choler	4x	WTFPL	ESRGAN	General Upscaler	2021-04-01	General Upscaler	1xESRGAN	https://imgsli.com/NDc3ODA/2/1
NMKD Siax ("CX")	Nmkd	4x	WTFPL	ESRGAN	General upscaler	2020-11-06	Universal upscaler for clean and slightly compressed images (JPEG quality 75 or better)	4xPSNR

Realistic Photos

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
4x-Valar	musl	4x	CC0	ESRGAN+	Realistic Photos	2021-09-16	Meant as an experiment to test latest techniques implemented on traiNNer, including: AdaTarget, KernelGAN, UNet discriminator, nESRGAN+ arch, noise patches, camera noise, isotropic/anisotropic/sinc blur, frequency separation, contextual loss, mixup, clipL1 pixel loss, AdamP optimizer, etc. The config file is provided on the download link above. I encourage everybody to mirror the model, distribute and modify it in anywway you want.	4x_RRDB_ESRGAN	Sample 1
4x_Box	buildist	4x	GNU GPLv3	ESRGAN	Realistic Photos	2019-06-20	RRDB_ESRGAN_x4 replacement for stuff that's supposed to look realistic.	none
Nickelback	BlackScout	4x	GNU GPLv3	ESRGAN	Realistic Photos	2020-02-12	this model aims to improve further on what has been achieved by the regular 4xESRGAN and also 4xBox. It can upscale most pictures/photos (granted they are clean enough) without destroying as much detail as the aforementioned models. It generates less moiré like patterns and keeps details without oversharpening or blurring the image too much.	4xESRGAN
NickelbackFS	BlackScout	4x	GNU GPLv3	ESRGAN-FS	Realistic Photos	2020-07-10	This model aims to improve further on what has been achieved by the old Nickelback which was an improvement attempt over 4xESRGAN and also 4xBox. It can upscale most pictures/photos (granted they are clean enough) without destroying as much detail as Box and basic ESRGAN.	4xESRGAN
4x NMKD Superscale	Nmkd	4x	WTFPL	ESRGAN	Clean Real-World Images	2020-07-22	Upscaling of realistic images/photos with noise and compression artifacts	4xESRGAN

Art/Pixel Art

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
4x_xbrz_90k	LyonHrt	4x	CC BY-NC 4.0	ESRGAN	Pixel Art	2019-06-05	Xbrz style pixel art upscaler	4xPSNR
Rebout	LyonHrt	4x	CC BY-NC-SA 4.0	ESRGAN	Pixel Art/Sprites	2019-08-04	For upscaling character sprites	Detoon
Rebout Blend	LyonHrt	4x	CC BY-NC-SA 4.0	ESRGAN	Pixel Art/Sprites		Dataset: Custom prepared sprites from kof 94 rebout, which with gradients blending	Detoon
Arzenal (v1.1)	ComputerK	8x	CC BY-NC-SA 4.0	ESRGAN	Pixel Art		Smooth general pixel art, Minecraft textures	Interpolated from nmkd's pixel art upscaling models with different interpolation settings and de-dithered versions
4x_scalenx_90k	LyonHrt	4x	CC BY-NC 4.0	ESRGAN	Pixel Art	2019-06-15	Scalenx style pixel art upscaler	4xPSNR
4x_xbrz+dd_260k	LyonHrt	4x	CC BY-NC 4.0	ESRGAN	Pixel Art	2019-06-17	xbrz plus dedithering style pixel-art upscaling model to wiki under specialised	4x_xbrz_90k
Lady0101_208000.pth	DinnJerr	4x		ESRGAN	Pixel Art/Paintings	2019-07-25	Upscale pixel art/paintings to digital painting style	WaifuGAN_v3_30000.pth
Fatality (4x_Fatality_01.pth)	twittman	4x		ESRGAN	Pixel Art/Sprites	2019-07-29	Upscales medium resolution Sprites, dithered or undithered, can also upscale manga/anime and gameboy camera images.	4x_Faces_04_N_180000_G.pth
Fatality MK2 (4x_Fatality_MKII_90000_G.pth)	twittman	4x		ESRGAN	Pixel Art/Sprites		Dataset: Anime, Manga and some real life	A previously attempted MK2
Fatal Pixels (4x_FatalPixels_340000_G.pth)	twittman	4x		ESRGAN	Pixel Art/Sprites		Dataset: Anime, Manga	Fatality_MKII_90k
Faithful 2x	Joey	2x	CC-BY-NC 4.0	ESRGAN	Pixel Art	2019-09-08		2xESRGAN
deviantPixelHD	raulsangonzalo	4x	You're free to use this model for all non-commercial projects and interpolation, please give credit if featured in any projects	ESRGAN	Pixel Art	2019-09-09	Similar to Manga109, can be used as a general digital upscaler as well as with pixel art	RRDB_PSNR_x4	https://www.youtube.com/channel/UCwBfuiHdSPQ-zslOmiW8OHg
4x_BS_Deviance	systemd-resolved/BlackScout	4x	GNU GPLv3	ESRGAN	Art	2020-02-25	This model upscales Digital Drawings. It was trained on random drawings found on DeviantArt. Mostly Landscape and Scenery and Illustrations of Characters. It does fairly well and works on many different styles.	4xESRGAN
4xSmoothRealism	Joey	4x	CC BY-NC 4.0	ESRGAN	Pixel Art	2020-03-04	Pixel art, rocky/grainy textures? Quantization smoothing, adding detail.	4x_RRDB_PSNR_old_arch.pth
8x_HugePeeps_v1	DinJerr	8x	CC BY-NC 4.0	ESRGAN	Art/People	2020-06-16	Painted humans	TGHQFace8x
BigFace_v3_Clear	DinJerr	4x	CC BY-NC 4.0	ESRGAN	Art/People	2020-07-22		4x_BigFace
4x_BS_DevianceV2	systemd-resolved/BlackScout	4x	GNU GPLv3	ESRGAN-FS	Art	2020-07-25	upscales Digital Drawings. It was trained on random drawings found on DeviantArt. Mostly Landscape and Scenery and Illustrations of Characters. It does fairly well and works on many different styles.	4xESRGAN
4x_BS_DevianceMIP	systemd-resolved/BlackScout	4x	GNU GPLv3	ESRGAN-FS	Art	2020-07-25	upscales Digital Drawings. It was trained on random drawings found on DeviantArt. Mostly Landscape and Scenery and Illustrations of Characters. It does fairly well and works on many different styles.	4xESRGAN
4x_Struzan	Laserschwert	4x	CC BY-NC-SA 4.0	ESRGAN	Art	2020-10-12	Upscaling airbrush/pencil-based artwork	4xPSNR	https://drive.google.com/drive/folders/1fyeIWInDrM6r-xxrCW4U09oafWw08u9S?usp=sharing
4x_PixelPerfectV4_137000_G	Mutin Choler	4x	WTFPL	ESRGAN	Pixel Art/Sprites	2020-11-16	Sprite Upscaler	4xESRGAN	https://imgsli.com/MzgxMTc/1/2
BigFArt	DinJerr	4x	CC BY-NC 4.0	ESRGAN	Pixel art	2020-15-31	Larger-scaled pixels to digital painting	Face Focus
MS Unpainter	FoolhardyVEVO	8x	CC BY-NC-SA 4.0	ESRGAN	Pixel Art	2021-03-24	Low-resolution MS Paint drawings, general pixel art, and general dithered pixel art, all kinds of pixel art	A mix of: 8x_glasshopper_ArzenalV1.1, 8x_glasshopper_MS-Unpainter, 8x_NMKD-Sphax + Sphax de-dither, and 8x_NMKD-YanderePixelArt4 + Yandere De-Dither, all interpolated with adjustments using the interpolate function in Cupscale
MS Unpainter De-Dither	FoolhardyVEVO	8x	CC BY-NC-SA 4.0	ESRGAN	Pixel Art	2021-03-24	Low-resolution MS Paint drawings, general pixel art, and general dithered pixel art, all kinds of pixel art	A mix of: 8x_glasshopper_ArzenalV1.1, 8x_glasshopper_MS-Unpainter, 8x_NMKD-Sphax + Sphax de-dither, and 8x_NMKD-YanderePixelArt4 + Yandere De-Dither, all interpolated with adjustments using the interpolate function in Cupscale
UltraFArt_v3 / FArtDIV3 Suite	DinJerr	4x	CC BY-NC-SA 4.0	ESRGAN	Art	2021-05-14	Painting style with larger shaped features (?).	4x_UltraFArt	https://1drv.ms/u/s!Aip-EMByJHY27UIFr1mk87zFytap?e=ZZliII
NXbrz	Archerpolation	4x	CC BY-NC-SA 4.0	ESRGAN	Pixel Art	2021-06-09	Basic pixel art upscaling, for people who want a more simpler style and lightweight pixel art upscaling model.	https://drive.google.com/drive/folders/1mYTMpwDlKQulBmjgKpcxL3-T6xAGXVxl?usp=sharing

Drawn Material

Anime

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
Sol Levante NTSC2HD	Phoenix	4x	UNLICENSE	ESRGAN	Anime/Pretrained	2020-04-08	NTSC DVD-spec encode x4 scale super-resolution for Anime Drawing style content. The dataset has a LOT of data throughout almost every frame, so it had a lot of stuff to learn. The resulting DVD-spec encode also had some blocking at times so it also learned to fight off blocking.	RRDB_PSNR_x4
2x_Byousoku_5_Centimeter.pth	Mystery_Bullet#0642 (Shady Adel)	2x	GNU GPLv3	ESRGAN	Anime/Pretrained	2020-04-08	Anime landscape upscale. Trained on Frames from BluRay of Byousoku 5 Centimeter	2xESRGAN
4x_OLDIES_290000_G_FINAL	solidd93110	4x	WTFPL	ESRGAN	Anime	2020-08-16	i made this model to upscale old anime and denoise.	RRDB_PSNR_x4.pth
fidelbd_pokemodel	Neo-Raws#4055	2x	WTFPL	ESRGAN	Anime	2020-08-29	Made this model to upscale old anime that looks blurry.	2xESRGAN	https://imgsli.com/MjExMjQ/
4x_OLDIES_ALTERNATIVE_FINAL.pth	solidd93110	4x	CC BY-NC-SA 4.0	ESRGAN	Anime	2020-09-01	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 ;)	RRDB_PSNR_x4.pth	https://imgsli.com/MjEzMDU
2x_SHARP_ANIME_V1	solidd93110	2x	CC BY-NC-SA 4.0	ESRGAN	Anime	2020-09-12	this model has been trained to work on lines and details - works well on animes which have fairly fine lines at the base but also the video must be progressive or deinterlaced	2xPSNR.pth	https://imgsli.com/MjIwMDY
MeguUp	/katoumegumi_#3231		GNU GPLv3.	ESRGAN	Anime	2020-09-16	Upscaling of lossless (uncompressed) anime art.	LyonHrt (bloc97 dataset, MIT license). Fatal Pixels, Fatality Anime: Twittman (CC BY-NC-SA 4.0, acquired special permission to relicense. https://s.katou.pw/Discord_dPUiI1x3Pf.png). Deviance: \|BlackScout (GNU GPLv3)
NMKD UltraYandere	Nmkd	4x	WTFPL	ESRGAN	Art/Anime	2020-10-08	Highly flexible 2D Art upscaling	4xESRGAN
NMKD UltraYandere Lite	Nmkd	4x	WTFPL	ESRGAN Lite [nf=32 nb=12]	Anime	2020-10-15	Fast Anime/Art upscaling	4x_DIV2K-Lite
2x_pokemodel_lite_100000_G	Neo-Raws#4055	2x	WTFPL	ESRGAN	Anime	2020-11-01	Upscale old anime like pokemon	none	https://imgsli.com/Mjc3Nzk https://imgsli.com/Mjc3Nzg https://imgsli.com/Mjc3ODA https://imgsli.com/Mjc3ODE https://imgsli.com/Mjc3ODI
2x_SHARP_ANIME_V2	solidd93110	2x	CC BY-NC-SA 4.0	ESRGAN	Anime	2020-12-09	2x_PSNR.pth		https://imgsli.com/MzI0MDk
2x_BIGOLDIES_415000_G.pth	solidd93110	2x	CC BY-NC-SA 4.0	ESRGAN	Anime	2020-12-09	upscaling old anime. help to denoise and find lines and dehalo	2x_PSNR.pth	https://imgsli.com/MzI0MDc
NMKD YandereNeo	Nmkd	2x	WTFPL	ESRGAN (Lite)	Anime	2021-01-26			https://i.imgur.com/oxs71v5.png
NMKD YandereNeo	Nmkd	4x	WTFPL	ESRGAN (Lite)	Anime	2021-01-26		4x_DIV2K-Lite_1M	https://i.imgur.com/oxs71v5.png
2x_Waifaux-NL3-SuperLite	Joey	2x	CC BY-NC-SA 4.0	ESRGAN		2021-02-23	Trained this model to see how it would work trying to essentially get the same results as Waifu2x but with ESRGAN	none
2x_Waifaux-NL3-SRResNet	Joey	2x	CC BY-NC-SA 4.0	EDSR (SRResNet)		2021-02-25	Emulating Waifu2x at Noise Level 3 NOTE: You can't use this with regular esrgan forks or the bot, it has to be run through basicsr	none
4x_Training4Melozard_Anime	Joey	4x	Whatever @B.Melozard2 wants	ESRGAN	Anime	2021-03-17		RRDB_ESRGAN_x4_old_arch
2x_LD-Anime_Skr_v1.0	Skr	2x	CC BY-NC-SA 4.0	ESRGAN	Denoise/Dehalo	2021-04-17	Denoise, dehalo, derainbow old anime	2xESRGAN	https://imgsli.com/NTA3MDU/
2x_KemonoScale_v2	EzoGaming	2x	CC BY-NC-SA 4.0	ESRGAN	Anime	2021-06-05	Upscaling frames from Irodori anime (namely kemono friends) from 540p (the source render resolution) to 1080p, low resolution flat shaded art, de-JPEG of the aforementioned	x2_CGIMaster_v1	https://cdn.discordapp.com/attachments/705815801290293329/850614850735439892/unknown.png
4x_muy4_035_1.pth	katoumegumi_	4x	WTFPL	ESRGAN	Anime	2021-07-18	Upscaling of anime art (Specifically visual novel CG art)		https://cdn.knightlab.com/libs/juxtapose/latest/embed/index.html?uid=278999ec-e802-11eb-abb7-b9a7ff2ee17c (Hakurei Reimu from Touhou Project illustrated by "okawa friend") https://cdn.knightlab.com/libs/juxtapose/latest/embed/index.html?uid=f3d4781a-e801-11eb-abb7-b9a7ff2ee17c (Kitaooji Karen from Making * Lovers developed by SMEE.)(edited)
Falcon Fanart	LyonHrt	4x	CC BY-NC-SA 4.0	ESRGAN	Anime	not on discord		4xPSNR

Manga

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
FSMangaV2	Jacob_	4x	CC BY-NC-SA 4.0	ESRGAN	Manga	2020-12-14	Manga-style images with or without dithering - cartoons, maybe pixel art, etc	RRDB_PSNR_x4	https://i.imgur.com/oVBVthF.png
MangaScaleV3	Bunzero++	2x	CC BY-NC-SA 4.0	ESRGAN+	Manga	2021-05-24	To upscale manga including halftones, instead of trying to smooth them out.	unreleased model	https://imgsli.com/NTUyMjg

Cartoons

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
8x_BoyMeBob-Redux	Joey	8x	CC BY-NC-SA 4.0	ESRGAN+ (Joey's fork, eFonte fork, or iNNfer required to use)	Animation	2021-08-19	Upscaling cartoons	8xBoyMeBob (unreleased) which used 8xESRGAN	Examples
SpongeBob	Joey	4x	CC-BY-NC 4.0	ESRGAN	Animation	2019-09-12		4xESRGAN
Spongebob De-Quantize	Joey	1x	CC-BY-NC 4.0	ESRGAN	Animation - Quantized	2019-11-02	Removed color quantization/indexing and dithering from cartoon style images and textures	1x_1xDEDITHER_32_512_126900_G
4x Spongebob v6 Deblur	Joey	4x	CC-BY-NC 4.0	ESRGAN	Animation	2019-11-08	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.	4x Spongebob v6
4x Spongebob v6 De-Quantize	Joey	4x	CC-BY-NC 4.0	ESRGAN	Animation - Quantized	2019-11-08	A model I trained to do both de-quantizing as well as upscaling. The results are pretty blurry but it works decently for what it is.	4x Spongebob v6
4x Spongebob v6	Joey	4x	CC-BY-NC 4.0	ESRGAN	Animation	2019-11-08	New version of the Spongebob model. Ideally it's a lot sharper and cleaner but I'm still not sure if it works better than the old one. From what I can tell it's better in many cases.	4xESRGAN
SpongeBob.CEL.2.HD.125ki.499e-PHOENiX.pth	Phoenix	4x	GPLv3 - SHARE YOUR CHANGES - If you use this as a pretrained model, share your new model!!!	ESRGAN	Animation	2019-12-24	Restorative CEL Animation MPEG-1 and 2 Model specifically crafted for SpongeBob S01.	RRDB_PSNR_x4.pth
1x_SpongeBC1-Lite	Joey	1x	CC BY-NC-SA 4.0		BC1/DXT1 compression	2020-11-01	First ever lite BC1/DXT1 model. Probably only useful for cartoony textures like those in spongebob games or other cartoon licensed games.	1x_DIV2K-Lite_80k
4x_SpongeBob-Reloaded	Joey	4x	CC BY-NC-SA 4.0	ESRGAN	Animation, Pixel Art	2020-12-11		4xSpongeBob
4x_SpongeBob-Reloaded-SWAG	Joey	4x	CC BY-NC-SA 4.0	ESRGAN	Animation, Pixel Art	2020-12-11		4xSpongeBob
2x-UniScale_CartoonRestore-lite	Kim2091	2x	CC BY-NC-SA 4.0	ESRGAN	Animation, Pixel Art	2021-08-31	This model has VERY strong compression removal and line restructuring that allows it to restore any heavily compressed drawings, animation, cartoons, or anime. Also works on games as well as DDS compression. It renders frames very quickly and is very viable for restoring videos.	4x-MMScale	Comparisons: https://cdn.discordapp.com/attachments/880826637543964712/882136618461458462/unknown.png https://cdn.discordapp.com/attachments/880826637543964712/882136455999262750/unknown.png https://cdn.discordapp.com/attachments/880826637543964712/882136979410673684/unknown.png https://cdn.discordapp.com/attachments/649861104645701637/882121519973666886/unknown.png https://cdn.discordapp.com/attachments/649861104645701637/882124248368427078/unknown.png Video Example: https://cdn.discordapp.com/attachments/880826637543964712/882110147676221480/Spongebob_UniScale_CartoonRestore.mp4 Original for comparison: https://cdn.discordapp.com/attachments/547949806761410560/881971445813633044/Spongebob_Original.mp4
2x_ATLA_KORRA_336200_G.pth	aptitude	2x		ESRGAN	Animation	2021-07-22	Upscaling of Animation based on The Legend of Korra.	2xESRGAN.pth	https://imgsli.com/NjIzMzU https://imgsli.com/NjIzMTY https://imgsli.com/NjIzMTc https://imgsli.com/NjIzMTg https://imgsli.com/NjIzMTk https://imgsli.com/NjIzMjA https://imgsli.com/NjIzMjE https://imgsli.com/NjIzMjQ https://imgsli.com/NjIzMjc https://imgsli.com/NjIzMjY https://imgsli.com/NjIzMjU

Digital Animation

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G
4x_DigitalFake-2.1	Joey	4x	CC BY-NC-SA 4.0	ESRGAN	Digital Animation	2021-02-18	Replica of DigitalFrames 2.1 but interpolatable	RRDB_ESRGAN_x4_old_arch.pth
4X_KCJPUNK_1.0233089 G.pth	KCJPUNK	4x	CC BY-NC-SA 4.0	ESRGAN	Digital Animation	2021-03-23	Up-scaling Digital Animation	4x_fatal_Anime_500000_G
2X_KcjpunkAnime_2.0_Lite_196496_G	KCJPUNK	2x	CC BY-NC-SA 4.0	ESRGAN-light	Digital Animation	2021-03-23	Up-scaling Digital Animation	This is my first attempt to make Light model so I started with 2x version. This model is much faster and give better results than my previous one.

Drawings

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
KDM003_scans_1x.pth	BoxDrop	1x		ESRGAN	Art	2019-07-29	Clean up model for scanned illustrations. - Made to remove moire patterns, reduce small imperfections, and correct mild compression artifacts in scanned Kingdom Death: Monster illustrations. CMYK printing often shifts colors, so this is intended to reverse that color shifting as well.	Failed attempts based on ESRGAN_1x_JPEG_80to100
DigiPaint	Rastrum	4x	CC0	ESRGAN	Art	2019-09-07	Digital Art Upscaler	4xfalcoon300(manga).pth

General Animation

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
American Dad 2 (American.Dad.2.HD.150ki.5e-PHOENiX.pth)	PHEONiX (?)	4x		ESRGAN	Animation		American Dad
FatalimiX	Twittman	4x	CC BY-NC-SA 4.0 (?)	ESRGAN	Animation	2019-10-29	Comic and Cartoon style images	4x_Fatality_MKII_90000_G_02.pth
Comic Book	LyonHrt	4x	CC BY-NC-SA 4.0	ESRGAN	Animation		Comic / Drawings. Trained on Custom (Spider-Man) dataset	none (no interpolation)
Fatal_Anime	Twittman	4x	CC BY-NC-SA 4.0 (?)	ESRGAN	Animation		Trained on Anime and Manga images	none (no interpolation)
HugePaint	DinJerr	8x	CC BY-NC 4.0	ESRGAN	Digital Illustrations		Trained on a variety of images from ArtStation	HugePeeps
4x_AbeScale	mitch#1337	4x	GNU	ESRGAN	Linework Cartoons		Dataset: LR: Clone High DVD, HR: Re-illustrated Vectors from Frames	4xESRGAN
2x_Loyaldk-SuperPony_370000 V1.0	ChaseMMD	2x	CC BY-NC-SA 4.0	ESRGAN	Animation	2021-02-24	Upscale MLP episodes	2x_ERGAN	https://imgsli.com/NDIwNTY https://imgsli.com/NDIwNTg https://imgsli.com/NDIwNjE https://imgsli.com/NDIwNjI https://imgsli.com/NDIwNjM
2x_Loyaldk-LitePony_380500 V1.0	ChaseMMD	2x	CC BY-NC-SA 4.0	ESRGAN	Animation	2021-03-01	Upscale MLP episodes. Liter version.	2x_ESRGAN
2x_Loyaldk-LitePony_500000_V2.0	ChaseMMD#6957	2x	CC BY-NC-SA 4.0	ESRGAN (NF=32, NB=12)	Animation	2021-04-06	Upscale MLP episodes. Liter version. Able to handle compression better compared to V1.0 and no longer creates halo's/rainbows. Good for Vector 2D art however converts detail to blobs.	none
2x_Loyaldk-MediumPony_500000_V2.0	ChaseMMD	2x		ESRGAN (NF=48, NB=18)	Animation	2021-04-11	Upscale MLP episodes. Liter version. Able to handle compression better compared to V1.0 and no longer creates halo's/rainbows. Good for Vector 2D art however converts detail to blobs. Leaves more blobs when converting detail to blobs compared to litepony	none
4x_Loyaldk-LitePony_500000_V2.0	ChaseMMD	4x	CC BY-NC-SA 4.0	ESRGAN (NF=32, NB=12)	Animation	2021-04-12	Good for Vector 2D art however converts detail to blobs. Quality seems weak with this one. However posting anyways to see if a use is found.	none
2x_Loyaldk-SuperPony_500000_V2.0	ChaseMMD	2x	CC BY-NC-SA 4.0	ESRGAN	Animation	2021-04-30	Upscale MLP episodes. Full version. Able to handle compression better compared to V1.0 and no longer creates halo's/rainbows. Good for Vector 2D art however converts detail to blobs.	none
4x_Loyaldk-SuperPony_500000_V2.0	ChaseMMD	4x	CC BY-NC-SA 4.0	ESRGAN	Animation	2021-04-30	Upscale MLP episodes. Full version. Able to handle compression better compared to V1.0 and no longer creates halo's/rainbows. Good for Vector 2D art however converts detail to blobs.	none
4x_Loyaldk-MediumPony_500000_V2.0	ChaseMMD	4x	CC BY-NC-SA 4.0	ESRGAN	Animation	2021-04-30	Upscale MLP episodes. Full version. Able to handle compression better compared to V1.0 and no longer creates halo's/rainbows. Good for Vector 2D art however converts detail to blobs.	none
Platoon Model Set	ChaseMMD	4x	CC BY-NC-SA 4.0	ESRGAN	Animation	2021-06-07	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.	Pony Models	https://mega.nz/folder/5UAlQCRJ#2Bj1lq8PYeB3P9k5UKSvkQ

Traditional Animation

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
DigitalFilmV5 Lite	OptimusPrimal	2x	WTFPL	ESRGAN	Traditional Animation	2021-02-19	Upscaling Dragon Ball Z DBox DVD's. - grainy sources. It keeps some grain, but also doing some cleaning, sharpening, and fixing.	none	https://imgsli.com/NDE0MzQ https://imgsli.com/NDE0MzU https://imgsli.com/NDE0MzY https://imgsli.com/NDE0Mzc https://imgsli.com/NDE0Mzg https://imgsli.com/NDE0Mzk
4x_HellinaCel	VGDCKeroro	4x	fuckin do whatever	ESRGAN	Traditional Animation	2021-03-21	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.	4xESRGAN	https://imgsli.com/NDU2MjU

Image Restoration

Image Compression

JPEG Artifacts

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
JPG (20-40%)	BlueAmulet	1x	CC BY-NC 4.0	ESRGAN	JPEG			Trained on Custom (CC0 Textures)	JPEG models by Alsa
JPG (40-60%)	BlueAmulet	1x	CC BY-NC 4.0	ESRGAN	JPEG			Trained on Custom (CC0 Textures)	JPEG models by Alsa
JPG (60-80%)	BlueAmulet	1x	CC BY-NC 4.0	ESRGAN	JPEG			Trained on Custom (CC0 Textures)	JPEG models by Alsa
JPG (80-100%)	BlueAmulet	1x	CC BY-NC 4.0	ESRGAN	JPEG			Trained on Custom (CC0 Textures)	JPEG models by Alsa
JPG (20-40%)	Alsa	1x	CC BY-NC-SA 4.0	ESRGAN	JPEG			Trained on Custom (Photos / Manga)
JPG (40-60%)	Alsa	1x	CC BY-NC-SA 4.0	ESRGAN	JPEG			Trained on Custom (Photos / Manga)
JPG (60-80%)	Alsa	1x	CC BY-NC-SA 4.0	ESRGAN	JPEG			Trained on Custom (Photos / Manga)
JPG (80-100%)	Alsa	1x	CC BY-NC-SA 4.0	ESRGAN	JPEG			Trained on Custom (Photos / Manga)
4x NMKD-PatchySharp	nmkd	4x	WTFPL	ESRGAN (Old Arch)	Art/CGI	2020-09-12	Upscaler for clean images or images with compression artifacts (jpeg quality >75) - Produces very sharp lines/edges due to NN-Filtered HR images. Proven to produce very, very good results on drawings (sharp lines) and CGI, but should also work pretty well for real-world images.	4xESRGAN	https://i.imgur.com/PzFkmAg.png
1x_JPEG (by compression level)	BlueAmulet	1x	CC BY-NC 4.0	ESRGAN	JPEG	2019-08-01	A collection of models for jpeg artifact removal, examples are included in the provided link	Alsa	https://drive.google.com/open?id=1HWokMsUwsR_Mw-NOJgc8OdS8mkdIje_C
DeJpeg Fatality_PlusULTRA!	Twittman	1x	CC BY-NC-SA 4.0 (?)	ESRGAN	JPEG	2019-10-29		1x_DeJpeg_Fatality_01_200000_G.pth
DeCompress and DeCompress-Strong	Kim2091	4x	CC BY-NC-SA 4.0	ESRGAN	JPEG (works on many compression formats)	2021-09-07	This is UniScaleV2, but intended for images with compression. Seems to work best on realistic images.	4xESRGAN	https://cdn.discordapp.com/attachments/884864597310459996/884952891721383936/unknown.png https://cdn.discordapp.com/attachments/884864597310459996/884957054807179274/unknown.png https://cdn.discordapp.com/attachments/884864597310459996/884960697883193354/unknown.png https://cdn.discordapp.com/attachments/884864597310459996/884953810097827850/unknown.png
JPG PlusULTRA (1x_jpg_PlusULTRA_130000.pth)	Twittman	1x	CC BY-NC-SA 4.0 (?)	ESRGAN	JPEG	2019-10-29		1x_DeJpeg_Fatality_01_200000_G.pth
SaiyaJin DeJpeg	Twittman	1x	CC BY-NC-SA 4.0 (?)	ESRGAN	JPEG	2019-10-29	Dataset: Anime, real life, manga, generated	1x_DeJpeg_Fatality_PlusULTRA_200000_G.pth
1x_JPEGDestroyer	BlackScout	1x	GNU GPLv3	ESRGAN	JPEG	2020-02-19	This model is meant to reduce or eliminate JPEG Compression without making the original images too smooth or killing detail. It manages to do a fairly good job but don't expect overly compressed images to work with this.	1xESRGAN + previous attempts
4xJaypeg90	Jacob	4x	GNU GPLv3	ESRGAN	JPEG compression	2020-07-20	Photos/realistic 3D with JPEG compression, quality 85-95 and 4:2:0 chroma subsampling. - Created for Myst3 images, since all have 4:2:0 chroma subsampling and existing JPEG models did not give good results. Favors smoothing over over-sharpening.	4xESRGAN	https://i.imgur.com/n09m2Rt.png
1x_SBDV-DeJPEG-Lite	Joey	1x	CC BY-NC-SA 4.0	ESRGAN (lite)	JPEG compression	2020-10-10		1x_DIV2K-Lite_80k.pth
NMKD Jaywreck3 & Jaywreck3-Soft (Lite)	Nmkd	1x	WTFPL	ESRGAN Lite [nf=32 nb=12]	JPEG compression	2020-10-13	1xESRGAN	1xESRGAN
MangaJPEG	Bunzero++	1x	CC BY-NC-SA 4.0	ESRGAN	JPEG	2021-06-17	Remove JPEG artifacts from manga without destroying screentone and other details	none	https://cdn.discordapp.com/attachments/579685650824036387/855269193762865152/Example_LQ_Input-comparison.png

Aliasing

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
SS Anti Alias 9x	BlueAmulet	1x	CC BY-NC 4.0	ESRGAN	Anti aliasing		Dataset: Custom (9x Supersampling AA)	none (no interpolation)
Anti Aliasing	Twittman	1x	CC BY-NC 4.0	ESRGAN	Anti aliasing / Images with pixelated edges		Dataset: Custom (?)	none (no interpolation)

GIF

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
DeGif	nmkd	2x	WTFPL	ESRGAN	GIF Restoration		GIF Restoration	2xESRGAN

DDS (BC1/DXT1, BC3/DXT5 Compression)

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
1x_BC1-smooth2.pth	BlueAmulet	1x	CC BY-NC 4.0	ESRGAN	BC1 Compression	2019-09-05	A model to help remove compression artifacts in BC1-BC3/DXT1-DXT5 compressed images (these all have color encoded the same way)	none
1x_artifacts_bc1_free_alsa.pth	Alsa	1x	CC BY-NC-SA 4.0	ESRGAN	BC1 Compression			BC1 take 2
1x_BCGone_Smooth_110000_G	Mutin_Choler	1x	WTFPL	ESRGAN	BC1 Compression	2020-08-02	Attempts to remove the damages done by BC1 compression.	1xESRGAN	https://imgsli.com/MjU5MzQ/4/3
1x_BCGone-DetailedV2_40-60_115000_G	Mutin_Choler	1x	WTFPL	ESRGAN	BC1 Compression	2021-03-18		1xESRGAN

Dithering

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
1x_artifacts_dithering_alsa.pth	Alsa	1x	CC BY-NC-SA 4.0	ESRGAN	Dithering		Dithered Images	JPG (0-20%)
4xFSDedither	Jacob	4x	GNU GPL3	ESRGAN	Dithering	2020-01-29	For photos/realistic images, but worth trying on other images that have reduced colors and dithering along with fine details. Trained using the ESRGAN-FS code (https://github.com/ManuelFritsche/real-world-sr/tree/master/esrgan-fs/codes) for better details compared to plain ESRGAN.	RRDB_ESRGAN_x4	https://imgsli.com/MTI1NTY/
4xFSDedither_Manga	Jacob	4x	GNU GPLv3	ESRGAN-FS	Dithering	2020-04-21	Cartoons/pixel art/other non-realistic stuff with dithering	RRDB_ESRGAN_x4.pth	https://imgsli.com/MTQ3Nzc
4xFSDedither_Riven	Jacob	4x	GNU GPLv3	ESRGAN-FS	Dithering	2020-07-11	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.	4xESRGAN	https://imgsli.com/MTg5NTM https://imgsli.com/MTg5NTQ https://imgsli.com/MTg5NTU https://i.imgur.com/j7Wtn0G.png
1x_DitherDeleter-Smooth_104000_G	Mutin_Choler	1x	WTFPL	ESRGAN	Dithering	2021-01-23	1xESRGAN	https://imgsli.com/Mzg0MTk/1/2
1x_DitherDeleterV3-Smooth	Mutin_Choler	1x	WTFPL	ESRGAN	Dithering	2021-04-18	Attempts to remove the damages done by dithering. For this model, I downscaled all of the HR images to make their pixel size closer to 1000x1000 using the Box filter and then downscaled them again by 50% using the Point filter. Afterwards, I applied 32-bit Riemersma to every image in the dataset.	1xESRGAN	https://imgsli.com/NTA5MjU/1/0

Blurring

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
1x_ThePi7on-Solidd_Deborutify_UltraLite_260k_G	ThePi7on	1x	CC BY-NC-SA 4.0	ESRGAN	Deblur	2021-05-09	Sharpening, line darkening and slight line thinning, specifically made for the Boruto anime.
mdeblur	LyonHrt	1x	UNKNOWN	ESRGAN	Blurring		Strong deblurring model
1x_PixelSharpen_100000	DinJerr	1x	CC BY-NC-SA 4.0	ESRGAN	Pixel Art	2021-03-19	Restores blurry/upscaled pixel art.	1xESRGAN	https://imgsli.com/NDUxNDQ/5/4
1x_ArtClarity	DinnJerr	1x	WTFPL	ESRGAN	Pixel Art	2021-08-05	Texture retaining denoiser and sharpener for digital artwork	4xPSNR
1x_Fatality_DeBlur	Twittman	1x	Your soul now belongs to me	ESRGAN	Deblur	2019-10-16	Dataset: Mix of anime, manga, and photos	1x_DeJpeg_Fatality_01_175000_G.pth
UnResize V3 (1x_UnResize_V3_200000_G.pth)	Twittman	1x	CC BY-NC-SA 4.0 (?)	ESRGAN	Deblur / Unresize		Dataset: Anime, manga, and photos	1x_UnResize_MKII_030000_G.pth
1x-Focus and 1x-Focus_Moderate	Kim2091	1x	CC BY-NC-SA 4.0	ESRGAN	Deblur		These models deblur most images. It was trained mostly on aniso2 and iso blurring (BSRGAN augmentation) with some gaussian mixed in. It performs well on most blurry images, but I'd recommend using something like Fatality_Deblur for very strong gaussian blur. Dataset: The UniScale Dataset + My Fabric dataset	1xESRGAN	Sample 1 Sample 2 Sample 3 Sample 4

Banding

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
1x_N64clean	BlueAmulet	1x	CC BY-NC 4.0	ESRGAN	Banding	2020-07-16	N64 textures use a color depth of 5-bits per channel, this model attempts to clean them, restoring smooth gradients in textures	1x_BC1-smooth2.pth
1xBS_DebandizerSPSRV2	BlackScout	1x	GNU GPLv3	SPSR	Banding	2020-07-21	mostly ends up dithering the image slightly but it has the potential to recover detail.	1xBS_DebandizerSPSRV1
1x_Bandage-Smooth	Mutin_Choler	1x	WTFPL	ESRGAN	Banding	2021-04-16	Attempts to remove the damages done by color banding. For this model, I downscaled all of the HR images to make their pixel size closer to 1000x1000 using the Box filter and then downscaled them again by 50% using the Point filter. Afterwards, I applied 64-bit color banding to every image in the dataset.	1xESRGAN	https://imgsli.com/NTA1NTk/1/0
Debandurh_FS Ultra-lite (1x_Debandurh_FS_lite_140000_G.pth)	Twittman	1x	CC BY-NC-SA 4.0 (?)	ESRGAN	Debanding images		Dataset: Anime, real life, manga	None

Halo Removal

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
1x_DeEdge_105000_G	Mutin_Choler	1x	WTFPL	ESRGAN	Halo remover	2020-11-03		1xESRGAN	https://imgsli.com/MjgxMDU/3/0

Noise

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
LADDIER1	Alexander Syring	4x	Unknown	ESRGAN	Denoise	2019-11-13	Remove noise, grain, box blur, lens blur and gaussian blur and increase overall image quality.	RRDB_ESRGAN_x4.pth
1x_NoiseToner-Poisson-Detailed_108000_G	Mutin_Choler	1x	WTFPL	ESRGAN	Noise remover	2021-10-08	Attempts to remove the damages done from noise. Successor of sorts to Noisetoner_Poisson_150000_G	1xESRGAN	https://imgsli.com/NzQ5MzM/2/0
1x_NoiseToner_Poisson_150000_G	Mutin_Choler	1x	WTFPL	ESRGAN	Noise remover	2020-10-14		1xESRGAN	https://imgsli.com/MjU1ODU/3/1
1x_NoiseToner_Uniform_100000_G	Mutin_Choler	1x	WTFPL	ESRGAN	Noise remover	2020-10-14		1xESRGAN	https://imgsli.com/MjU1Nzg/2/1
1x_ISO_denoise_v1	Alpha	1x	WTFPL	ESRGAN	denoise	not on discord	Remove high ISO noise	1xESRGAN
1x_ISO_denoise_v2	Alpha	1x	WTFPL	ESRGAN	denoise	not on discord	Remove high ISO noise	ISO denoise v1
Film-Degrainer_1-000	Tika	1x	CC0	ESRGAN	denoise	not on discord	Remove film grain/noise	none

Oversharpening

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
1x_DeSharpen	Loinne	1x	CC BY-NC-SA 4.0	ESRGAN	Denoise	2019-06-03	Made for rare particular cases when the image was destroyed by applying noise, i.e. game textures or any badly exported photos. If your image does not have any oversharpening, it won't hurt them, leaving as is. In theory, this model knows when to activate and when to skip, also can successfully remove artifacts if only some parts of the image are oversharpened, for example in image consisting of several combined images, 1 of them with sharpen noise.	1st attempt on random sharpening with the same dataset at 200000 iterations, which was trained on non-random desharp model, total ~600000 iterations on 3 models.

DeToon

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
detoon	LyonHrt			ESRGAN	Detooning	2019-06-24	A toon to realistic shading style model to wiki under drawings
1xDoubleDetoon	Joey	1x	CC BY-NC-SA	ESRGAN	Detooning	2020-07-31	An attempt to detoon images/drawings of people	1xESRGAN

Image De/Colorization

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G
BS_Colorizer/Vapourizer	BlackScout	1x	GNU GPLv3	ESRGAN	Colorization	2020-01-30	B/W \| 100% Desaturated images. It mostly results in Blue and Yellow images with slight hints of Green, Orange and Magenta. You are free to use this as a pretrain to achieve better results.	1xESRGAN
1x_SpongeColor-Lite	Joey	1x	CC BY-NC-SA 4.0	ESRGAN (lite) [nf=32 nb=12]	Colorization	2020-10-15	The first attempt at ESRGAN colorization that produces more than 2 colors. Doesn't work that great but it was a neat experiment.	none
Deoldify	Rastrum	4x	CC0	ESRGAN	Photos	2019-08-29	Old black and white photo restoration.	Falcon Fanart

Stylization

Images

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
Rek's Effeks Photoanime v2	Rek	4x	GNU GPL3	ESRGAN	Stylization	2020-10-17	Photo stylization from JPEGs. Trained on images upscaled by ISO Denoise v2 -> DeJPEG Fatality PlusULTRA -> NMKD Yan2. Essentially a combination of that model chain into one. Use if you're looking for a stylized output, not photo quality.	NMKD Yandere2

Specialized Models

Text

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
2x_BSTexty	BlackScout	2x	GNU GPLv3	ESRGAN	Text	2020-03-04	As the name might suggest, this model aims to upscale text with less distortion that other models. It seems to do a good job generally, but don't expect it to be a state of the art model that can upscale magazines and stuff. It makes things more readable but since it was train on B/W pictures it desaturates them.	2x_ESRGAN
NMKD Typescale	Nmkd	8x	WTFPL	ESRGAN	Text	2020-11-04	Low-resolution text/typography and symbols	8xESRGAN

Inpainting

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
1x_sudo_inpaint_PartialConv2D_424000_G.pth	sudo rm -rf / --no-preserve-root#8353	1x	CC BY-NC-SA 4.0	ESRGAN	Inpainting	2020-12-05	Experimental PartialConv2D attempt to paint with ESRGAN. Took ~10.4 days of training on a P100 and around 1.5 months in total due to Colab limits. Not sure if I will continue training it since training is very slow, but may get better.. Warning: Result can vary with different tilesizes. Try not to tile your data.	None	Samples
1x_NMKD-YandereInpaint_375000_G.pth	Nmkd	1x	Unknown	ESRGAN	Inpainting	Unknown		None	Samples

Fabric/Cloth

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
4x-Fabric and Fabric-Alt	Kim2091	4x	CC BY-NC-SA 4.0	ESRGAN	Fabric	2021-09-15	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.	4xESRGAN	Sample 1 Sample 2 Sample 3 Sample 4

Alphas

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G
FireAlpha	BlueAmulet	4x	CC BY-NC 4.0	ESRGAN	Alpha (4 channel)	2019-11-12		none
4x_1ch-Alpha-Lite	Joey	4x	CC BY-NC-SA 4.0	ESRGAN	Alpha	2020-12-15	Obsoleted by Joey's Fork - Alpha channels of PNGs	none
2x_Gen5-Alpha	Joey	2x	CC BY-NC-SA 4.0	ESRGAN	Pixel Art with Tranparency / Alpha Channel	2021-02-03		4xFireAlpha
8x_Sphax-Alpha-NN	Joey	8x	CC BY-NC-SA 4.0	ESRGAN	Pixel Art with Tranparency / Alpha Channel	2021-02-04	Replica of sphax with transparency	4xFireAlpha
4x_PocketMonsters-Alpha	Joey	4x	CC BY-NC-SA 4.0	ESRGAN	Pixel Art with Tranparency / Alpha Channel	2021-02-04	upscaling pixel art with alpha channels that should perform better than any other. It should work well on both cartoon and 3D styled content.	4xFireAlpha
Skyrim Alpha	Deorder	4x	CC0	ESRGAN	Pixel Art with Tranparency / Alpha Channel		Dataset: Alpha Channels from Skyrim	Unknown

CGI

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
WaifuGAN_v3_30000	DinnJerr	4x	CC BY-NC 4.0	ESRGAN	CGI	2019-07-12	Upscaling CG-painted anime with variable outlines.	Manga109v2.pth
2xBS_Wolly	BlackScout	2x	GNU GPLv3	ESRGAN	CGI Animation	2020-02-07	Pixar Movies or Wall-E pictures/frames	2xESRGAN
4xSGI	ChrisNonyminus	4x	GNU GPL3	ESRGAN	CGI	2020-12-17	Upscaling and dedithering pre-rendered sprites, images and textures made in the 90s. Basically vintage CGI.	4xESRGAN	https://imgur.com/a/iwLTjeB
CGIMaster_v1	Madiator	2x	GNU GPL3	ESRGAN	CGI Animation	2021-01-14	mixed 3D/2D CGI animations on some 2D animations it might sharpen the edges. General usage is to upscale CGI animations compressed by YouTube.	Sharp_Anime_v2	https://imgsli.com/Mzc1NTM

Luminance/Chroma

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
1x_BSLuma	BlackScout	1x	GNU GPLv3	ESRGAN	Luma	2020-02-28	Fix Luminance issues?? LumaSharpen ESRGAN Edition? - This model mostly does what "Lumasharpen" algorithms do. It may help fixing images with Luminance images issues? Like old DVD rips? I am not sure, didn't test.	none
1x_BSChroma	BlackScout	1x	GNU GPLv3	ESRGAN	Sharpen	2020-02-29	ChromaSharpen - makes the colors slightly more vibrant with a sideeffect of possibly adding Chromatic Abberation to the image. I am not sure about the usage of this model on real case scenarios but anything blurry or with fuzzy colors could work	none

Cats

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
Cat_Patch	Twittman	4x	CC BY-NC-SA 4.0 (?)	ESRGAN	Cats	not on discord		previous attempt

Coins

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
4x_Nickelfront	BlackScout	4x	GNU GPLv3	ESRGAN	Coins	2020-02-13	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.	4xESRGAN

Faces

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
4x_Faces_N_250000.pth	Twittman	4x		ESRGAN	Faces	2019-07-18	Upscales images of faces of different scales, sometimes resulting in monsters.	4xESRGAN
4x_Faces_04_N_180000_G	Twittman	4x		ESRGAN	Faces	2019-07-23	Upscale faces both pixelized and real	4x_Faces_N_250000.pth
Face-Ality V1 (4x_Fatality_Faces_310000_G.pth)	Twittman	4x	CC BY-NC-SA 4.0 (?)	ESRGAN	Faces		Dataset: Custom (Faces)	4x_Faces_04_N_180000_G.pth
TGHQFace8x	tg	8x	GNU GPL3	ESRGAN	Faces	2019-11-27	Upscales blurry 128px faces, usefull for enhancing that someone in a small picture.	8xESRGAN	https://imgsli.com/OTM1NQ
FArtFace	DinJerr	4x	CC BY-NC 4.0	ESRGAN	Faces	2019-11-28
4x_BS_SbeveHarvey	BlackScout	4x	GNU GPLv3	ESRGAN	Faces	2020-07-24	Upscale Steve Harvey, but maybe other things, somehow??	4xESRGAN
Face Focus	LyonHrt	4x	CC BY-NC-SA 4.0	ESRGAN	Faces	not on discord	Face De-blur - slightly out of focus / blurred images of faces. It is aimed at faces / hair	4xPSNR
TGHQFace8x	Torrentguy	8x	[https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]	ESRGAN	Face Upscaling			8xESRGAN

Foliage/Ground

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
1x_Plants_400000_G.pth	Muf	1x	Public Domain	ESRGAN	bad upscale	2021-06-23	Images of plants, trees or other foliage upscaled with Photoshop Preserve Details 2.0. Sharpens and "subdivides" details and noise so it doesn't look upscaled.	1x_NMKD-h264Texturize_500k.pth	https://imgsli.com/NTg2MDk https://imgsli.com/NTg2MDg https://imgsli.com/NTg2MTA
Ground	ZaphodBreeblebox	4x		ESRGAN	Upscales ground textures	2021-06-23	Dataset: Custom (Ground textures Google)

Video Games

Game Screenshots

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
Minepack	BlackScout	4x	CC BY-NC-SA	ESRGAN	Upscaling pack.png	2020-01-26	Upscales Minecraft screenshots by 4x. May suffer from haloing, weird patterns on blocks and JPEG-like artifacts.	4xESRGAN.pth
4xPackCraft_v4	Joey	4x	CC BY-NC-SA 4.0	ESRGAN	Upscaling pack.png	2020-09-05	Designed to upscale one specific minecraft screenshot. Results on dissimilar screenshots may be poor.	4xESRGAN/previous versions	https://cdn.discordapp.com/attachments/436411385673547787/750481717307113543/pack.png
MinecraftAlphaUpscaler with Good data	Washed Up	4x	GNU GPLv3	ESRGAN	Upscaling pack.png	2020-01-29	Designed to upscale one specific minecraft screenshot. Results on dissimilar screenshots may be poor.	RRDB_PNSR_x4.pth
ScreenBooster V2	BlackScout	4x	CC BY-NC-SA	ESRGAN	CGI	2020-01-29	Game Screenshots	none
BS_ScreenBooster_SPSR	BlackScout	4x	CC BY-NC-SA	SPSR	CGI	2020-07-18	This model is designed to upscale game screenshots (3D Games) by 4 times. The SPSR version is an improvement over the ESRGAN based V2.	Screenbooster V2

Normal Map/Bump Map Generation

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G
1x_NormalMapGenerator-CX-Lite	Joey	1x	CC BY-NC-SA 4.0	ESRGAN Lite [nf=32 nb=12]	Map Generation - normal maps	2020-11-04	Generating normal maps from textures	1x_DIV2K-Lite_450k.pth
1x_FrankenMapGenerator-CX-Lite	Joey	1x	CC BY-NC-SA 4.0	ESRGAN Lite [nf=32 nb=12]	Map Generation - roughness and displacement maps	2020-11-07	This model generates "Franken Maps" (named after Frankenstein), which is a custom material map combination I made. Basically, the Red channel of RGB is just the texture converted to grayscale, the Green channel is the roughness map, and the Blue channel is the displacement map. I had to do this to get around the current limitation of CX loss where it requires a 3 channel output (otherwise I would have just made a 2 channel model, or separate single channel models). As of right now the channels need to be manually split from each other but I will be making a tool for doing this automatically in the coming days.	1x_DIV2K-Lite_450k.pth
1x_normals_generator_general_215k	LyonHrt	1x	CC BY-NC-SA 4.0	ESRGAN	Map Generation - Normal Maps		This model generates "Franken Maps" (named after Frankenstein), which is a custom material map combination I made. Basically, the Red channel of RGB is just the texture converted to grayscale, the Green channel is the roughness map, and the Blue channel is the displacement map. I had to do this to get around the current limitation of CX loss where it requires a 3 channel output (otherwise I would have just made a 2 channel model, or separate single channel models). As of right now the channels need to be manually split from each other but I will be making a tool for doing this automatically in the coming days.	none (no interpolation)

Video Game Textures

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
Fallout Weapons (Fallout 4 Weapons?)	Bob	4x	CC BY-NC-SA 4.0	ESRGAN	Game textures	2019-08-05	Video game textures, mostly metal rusty, clean or painted	Manga109Attempt
Fallout Weapons V2	Bob	4x	CC BY-NC-SA 4.0	ESRGAN	Game textures	2019-08-23	Video game textures, mostly metal rusty, clean or painted	Fallout 4 Weapons
4x_ThiefGoldMod_100000	Akven	4x	no idea	ESRGAN	Game textures	2020-05-15	Version of the previous model but based on Manga109 pretrained model and with slightly different dataset. Sometimes gives better results especially for wood and metal, sometimes worse. Sometime generates the same dotted artifacts on very bright/white images.	4x_Manga109Attempt	https://imgsli.com/MTYzNjI
4x_ThiefGold_110000	Akven	4x	no idea	ESRGAN	Game textures	2020-05-15	Various game textures. Primary wood, metal, stone	RRDB_ESRGAN_x4	https://imgsli.com/MTYzNjI
4x-VolArt	Kim2091	4x	CC BY-NC-SA 4.0	ESRGAN	Game textures/Art	2021-09-18	This model upscales artwork for the game Volfoss (2001). The model peaked in quality very quickly. The NR model removes most noise, but has the downside of removing transparent portions. Use the main model in most cases.	4xESRGAN	Sample 1 Sample 2
2xFaithfulSPSR	Joey	2x	CC BY-NC-SA	SPSR	Pixel art	2020-07-19	Mainly just a test for SPSR. Seems to work better than the original 2xFaithful32_1316 that I used as a pretrained, even though it uses the same dataset.	2xFaithful32_1316
2x_FakeFaith-Lite	Joey	2x	CC BY-NC-SA 4.0	ESRGAN (lite)	Pixel Art	2020-10-12	An attempt at recreating the "faithful" style without using the faithful dataset -- aka keeping the "pixel art" style of pixel art.	2x_Faithful-Lite
2x_Faithful-Lite	Joey	2x	CC BY-NC-SA 4.0	ESRGAN (lite)	Pixel Art	2020-10-12	A "lite" model version of my Faithful model	none
1x_DXTless_SourceEngine_170000_G	Xeller	1x	WTFPL	ESRGAN	DTX5 Compression	2021-04-10	This model is made for Source Engine textures. It tries to remove compression artifacts such as blockyness, discoloration, green tint. It does pretty well on a lot of things, realistic stuff as well, but it was mostly made to work on TF2 textures. It's made to keep as much detail as possible, without any unnecessary denoising/sharpening. Huge thanks to Twittman for assisting me along this journey.	1x_Saiyajin_DeJpeg_300000_G	https://imgsli.com/NDk1NTk https://imgsli.com/NDk1NjA https://imgsli.com/NDk1NjE https://imgsli.com/NDk1NjI
Trixie	LyonHrt	4x	CC BY-NC-SA 4.0	ESRGAN	Faces / Game Textures	not on discord	character textures for star wars games, including the heroes, rebels, sith and imperial. Plus a few main aliens…Why called trixie? Because jar jars big adventure would be too long of a name… This also provides good upscale for face textures for general purpose as well as basic star wars	none
Skyrim Armory	Alsa	4x	CC BY-NC-SA 4.0	ESRGAN	Game textures/equipment	not on discord		Manga109Attempt
Skyrim Misc	Deorder	4x	CC0	ESRGAN	Game textures	not on discord	Skyrim Diffuse Textures	?
Skyrim Wood	Laeris	4x		ESRGAN	Game textures	not on discord	Wood	?
4x-SkyrimTexV2.1 and V2_Fabric	Kim2091	4x	CC BY-NC-SA 4.0	ESRGAN	Game textures	2021-09-25	This model set upscales most Skyrim textures. I hope it helps 🙂 The base model (2.1) works well on stone, wood, metals, and most other textures. The Fabric model is a 50/50 interpolation with a stronger iteration of this model and my Fabric model. As you can tell by the name, it's intended for Fabric textures. If you want to upscale Alpha textures, use a model dedicated to it. There's an INFO file in the folder, it just explains the extra models	4xESRGAN	Sample 1 Sample 2 Sample 3 Sample 4
Forest	LyonHrt	4x	CC BY-NC-SA 4.0	ESRGAN	Game textures	not on discord	Wood / Leaves	none
Morrowind Mixed	mkultra	4x	CC BY-NC-SA 4.0	ESRGAN	Game textures	not on discord	Morrowind Mod Textures	4xESRGAN
Map	LyonHrt	4x	CC BY-NC-SA 4.0	ESRGAN	Game textures	not on discord	Map / Old Paper with text	none

Video Restoration

Video Compression

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
1x_cinepak_200000	Twittman	1x	CC BY-NC-SA 4.0 (?)	ESRGAN	Compression	2019-07-03	Removal of Compression such as Cinepak, msvideo1 and Roq	none
1x_cinepak_alt.pth	buildist	1x	GNU GPLv3	ESRGAN	Compression		Cinepak (only)	none
DeBink v4/v5/v6	Kim2091	1x	CC BY-NC-SA 4.0	ESRGAN	Compression	8.6.21	This model removes early 2000s Bink and other compression artifacts. Works well on almost any image or video compression type.	none
NMKD h264Texturize	Nmkd	1x	WTFPL	ESRGAN	Texturizing	2020-10-20	Tries to reverse heavy h264 compression. Fails. Can be used to texturize images though.	4x ESRGAN
1x_Filmify4K_v2_325000_G.pth	Muf	1x	Public Domain	ESRGAN	artifact	2021-07-19	This model attempts to make films upscaled to 4K with Topaz Gaia-HQ look more natural and filmic. It sharpens, adds film grain, and smooths out small artefacts from the upscaling process. I recommend adding a tiny amount of grain to the input to seed the model (you can do this in VEAI), otherwise the film grain will remain static across frames that don't move much. Pretrain model used with permission to relicense from Twittman.	1x_UnResize_V3_110000_G.pth	https://imgsli.com/NjE5MTE https://imgsli.com/NjE5MTI https://imgsli.com/NjE5MTM https://imgsli.com/NjE5MTQ
DeIndeo	Wild West Quest#7975	4x	WTFPL	ESRGAN	Indeo Compression Artifacts		Dataset: Custom	4xESRGAN

VHS Tapes

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
1xBaldrickVHSFix_180000_G_V0.2	NimRodZorg	1x	CC BY-NC-SA 4.0	ESRGAN	VHS	2021-03-03	Fixing minor VHS Chroma and Pattern Noise - NOTE: only works on deinterlaced sources	1xESRGAN
2x_VHS-upscale-and-denoise_Film_477000_G	Itewreed	2x	CC BY-NC-SA 4.0	ESRGAN	VHS	2021-03-28	VHS captures of Film material, but may work on VHS recorded native SD-TV material as well. Also useable for cleaned up source material	none
VHS-Sharpen-1x	RTX 2080 ti hoarder	1x	CC BY-NC-SA 4.0	ESRGAN	VHS	2021-03-19	Make old VHS footage crispy. This model will not work on video and images with noticeable JPEG/Video compression artifacts, noticeable interlacing or haloing, heavy tape distortion/artifacts and scenes with tons of detail. For best results, use a downscaled HD capture of the VHS tape you intend to use it on.	1xESRGAN	https://imgsli.com/NDUxNDY/2/3

Pretrained Models

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G
1xESRGAN	victorca25	1x	Apache License 2.0	ESRGAN	Pretrained	2019-07-06		RRDB_ESRGAN_x4.pth
2xESRGAN	victorca25	2x	Apache License 2.0	ESRGAN	Pretrained	2019-07-06		RRDB_ESRGAN_x4.pth
4xESRGAN	xinntao	4x	Apache License 2.0	ESRGAN	Pretrained	2019-07-06		RRDB_ESRGAN_x4.pth
8xESRGAN	victorca25	8x	Apache License 2.0	ESRGAN	Pretrained	2019-07-06		RRDB_ESRGAN_x4.pth
16xESRGAN	victorca25	16x	Apache License 2.0	ESRGAN	Pretrained	2019-07-06		RRDB_ESRGAN_x4.pth
1x PSNR Pretrained Model	BlueAmulet	1x	Apache License 2.0 (ESRGAN's license)	ESRGAN	Pretrained	2020-04-20	The original RRDB_PSNR_x4.pth model converted to 1x, 2x, 8x and 16x scales, intended to be used as pretrained models for new models at those scales. These are compatible with victor's 4xESRGAN.pth conversions	RRDB_PSNR_x4.pth
2x PSNR Pretrained Model	BlueAmulet	2x	Apache License 2.0 (ESRGAN's license)	ESRGAN	Pretrained	2020-04-20	The original RRDB_PSNR_x4.pth model converted to 1x, 2x, 8x and 16x scales, intended to be used as pretrained models for new models at those scales. These are compatible with victor's 4xESRGAN.pth conversions	RRDB_PSNR_x4.pth
4x PSNR Pretrained Model	BlueAmulet	4x	Apache License 2.0 (ESRGAN's license)	ESRGAN	Pretrained	2020-04-20	The original RRDB_PSNR_x4.pth model converted to 1x, 2x, 8x and 16x scales, intended to be used as pretrained models for new models at those scales. These are compatible with victor's 4xESRGAN.pth conversions	RRDB_PSNR_x4.pth
8x PSNR Pretrained Model	BlueAmulet	8x	Apache License 2.0 (ESRGAN's license)	ESRGAN	Pretrained	2020-04-20	The original RRDB_PSNR_x4.pth model converted to 1x, 2x, 8x and 16x scales, intended to be used as pretrained models for new models at those scales. These are compatible with victor's 4xESRGAN.pth conversions	RRDB_PSNR_x4.pth
16x PSNR Pretrained Model	BlueAmulet	16x	Apache License 2.0 (ESRGAN's license)	ESRGAN	Pretrained	2020-04-20	The original RRDB_PSNR_x4.pth model converted to 1x, 2x, 8x and 16x scales, intended to be used as pretrained models for new models at those scales. These are compatible with victor's 4xESRGAN.pth conversions	RRDB_PSNR_x4.pth

Pretrained Discriminators

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G
1x Pretrained Discriminator Pack	Joey	1x	CC BY-NC-SA 4.0	VGG	Pretrained discriminators	2020-10-26	Most of these are my spongebob dataset so they will be more useful for cartoons but I did include my original faithful model discriminator.	none
2x Pretrained Discriminator Pack	Joey	2x	CC BY-NC-SA 4.0	VGG	Pretrained discriminators	2020-10-26	Most of these are my spongebob dataset so they will be more useful for cartoons but I did include my original faithful model discriminator.	none
4x Pretrained Discriminator Pack	Joey	4x	CC BY-NC-SA 4.0	VGG	Pretrained discriminators	2020-10-26	Most of these are my spongebob dataset so they will be more useful for cartoons but I did include my original faithful model discriminator.	none
8x Pretrained Discriminator Pack	Joey	8x	CC BY-NC-SA 4.0	VGG	Pretrained discriminators	2020-10-26	Most of these are my spongebob dataset so they will be more useful for cartoons but I did include my original faithful model discriminator.	none
4x_RRDB-G_ResNet-D (Both G and D)	Joey	4x	CC BY-NC-SA 4.0	ESRGAN (G) / ResNet (D)	Pretrained	2021-01-17	Clean bicubic downscales / Pretrained models (G/D)	RRDB_ESRGAN_x4_old_arch.pth

SOFVSR Models

These models are for SOFVSR, they will not work in Cupscale or the main ESRGAN forks. You need this to use it: https://github.com/JoeyBallentine/Video-Inference

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
3x_Video_TSSM	Joey	3x	CC BY-NC-SA 4.0	SOFVSR	Animation	2020-11-17	none
3x_Video_TSSM_RRDB	Joey	3x	CC BY-NC-SA 4.0	SOFVSR RRDB / VESRGAN	Animation	2020-11-25	none
2x_SBS11-RRDB	Joey	2x	CC BY-NC-SA 4.0	SOFVSR RRDB / SOFVESRGAN	Animation	2020-12-03	none
4x_REDSVAL-7f-RRDB-Lite (both G and D)	Joey	4x	CC BY-NC-SA 4.0	SOFVSR RRDB / SOFVESRGAN Lite [nf=32, nb=12]	IRL videos	2020-12-03	none
SOFVSR_REDS_F3_V1	Sunseille	4x	WTFPL	RRDB	IRL videos	2021-02-26	upscale IRL videos. Use not recommended by creator	none	https://cdn.discordapp.com/attachments/547949806761410560/813134983236419664/100k_iter.mp4
2x_VimeoScale_Unet	Sazoji	2x	CC BY-SA 4.0	SOFVSR-RRDB (light arch, 3 frames, nf=32, nb=12)	Upscaling video content	2021-09-09	This model is meant to surpass VEAI 2x while being efficient to run quickly with fp16. The real-esrgan/BSRGAN augmentation and Unet should help with videos where the resolution is not ideal and can reconstruct details without effecting blurs in most cases. This model SHOULD run faster than real-esrgan while matching the resolving and enabling some multiframe feature extraction. No major denoising/compression/blurring effects (or artifacts) should be found.	Self-Trained Base for the Unet finalisation with vgg_fea discrim	Sample 1 Sample 2 Sample 3
4x_VimeoScale	Sazoji	4x	CC BY-SA 4.0	SOFVSR-RRDB (5 frames)	Upscaling IRL video content	2021-10-08	This model is one of the longest I have trained and tuned, includes some noise training but this is not intended for deblocking/decompression. Combined with https://github.com/JoeyBallentine/Video-Inference 's fp16 mode, this should handle most SD and 720p content at or faster than ESRGAN, with a significant bump in quality.	Self-Trained Base for the Unet finalisation with vgg_fea discrim	Sample 1 Sample 2 Sample 3 Sample 4

Pretrained SOFVSR Models

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
video_G	victorca25	4x	Unknown	SOFVSR net			Trained on REDS' size dataset	none
VESRGAN_G	victorca25	4x	Unknown	RRDB			Trained on REDS' size dataset	none

CAIN Models

CAIN is a video frame rate interpolation AI. These models are intended for use with CAIN only. These CANNOT be used with Cupscale or ESRGAN, you need this: https://gitlab.com/hubert.sontowski2007/cainapp

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Pretrained_Model_G	sample
190562_vimeo_enchanced.pth	hubert	2x	MIT	CAIN	RL videos - interpolation	2021-07-13
cainliteanime.pth	hubert	2x	MIT	CAIN	Anime - interpolation	2021-08-06		Sample
rvpV1	sudo rm -rf / --no-preserve-root#8353	2x	CC BY-NC-SA 4.0	CAIN	Video Frame Interpolation for anime openings	2021-09-14	My ~~first~~ (ok technically second) attempt to create a video frame interpolation model and I like how it turned out. To use it, you can either use https://gitlab.com/hubert.sontowski2007/cainapp, https://github.com/styler00dollar/Colab-CAIN or the bot in [Game Upscale] (model called rvpv1 there, just use --model rvpv1). Some demo videos in pcloud, but you need to download them. The web player seems to playback in low fps. The architecture is mainly the same to the original CAIN, but i modified the padding to be zero padding instead. ``.pt`` means JIT model, `.pth`, means normal pytorch model. Architecture file is in pcloud as well. And no, no cupscale or flowframes. Dataset: Modified Animeinterp dataset	https://files.catbox.moe/xiq9vi.mp4
cvpv6.pth	hubert	2x	MIT	CAIN	Anime - interpolation	2021-09-21

@@ Line 7: / Line 7: @@
 Models that use the "old" ESRGAN architecture. They can be used either with the official ESRGAN repository (old arch tag)
-and BasicSR (old arch or preferably victorc's traiNNer version). You can also use tools that wrap around one of them, like IEU from Honh or Cupscale by |[[User:nmkd|Nmkd]].
+and BasicSR (old arch or preferably victorc's traiNNer version). You can also use tools that wrap around one of them, like IEU from Honh or Cupscale by [[User:nmkd|Nmkd]].
 ==Image scaling and Video upscaling==
@@ Line 34: / Line 34: @@
 |ESRGAN
 |Universal Upscaler
-|8.26.21
+|2021-08-26
 |Streets with dense foliage in the background. Outdoor scenes.
 |[https://drive.google.com/drive/folders/1ldwajXL50uC7PCS63B4Wato6Dnk-svNL 4xPSNR]
@@ Line 46: / Line 46: @@
 |
 | General Upscaler
-| 2021.04.09
+| 2021-04-09
 | A creation of BSRGAN with more details and less smoothing, made by interpolating IRL models such as Siax, Superscale, Superscale Artisoft, Pixel Perfect, etc. This was, things like skin and other details don't become mushy and blurry.
 | none - interpolated
@@ Line 52: / Line 52: @@
 |-
-|[https://mega.nz/folder/zUJjnCoB#_zK3vs5iW6atyElO735XDA UniScale-Balanced/Strong]
+|[https://mega.nz/folder/zUJjnCoB#_zK3vs5iW6atyElO735XDA UniScale-Balanced/Strong (Includes Interp)]
 |[[User:Kim2091|Kim2091]]
 |4x
-|[https://creativecommons.org/licenses/by-sa/4.0/ CC BY-SA 4.0]
+|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 |ESRGAN
 |Universal Upscaler
-|8.23.21
+|2021-08-23
-|UniScale strikes a nice balance between sharpness and realism. This model can upscale almost anything well. It was originally intended to upscale game textures, but was expanded into a universal upscaler.
+|UniScale strikes a nice balance between sharpness and realism. This model can upscale almost anything well. It was originally intended to upscale game textures, but was expanded into a universal upscaler. Interp is these two models interpolated.
 |[https://mega.nz/#!uhAVEaAA!qfwIQ44Ba3rXMAb2-M3aM3zFBCwzmyQ64IO_0O-csJE 4xESRGAN]
 |https://slow.pics/c/i75q0yN1
 |-
 |[https://mega.nz/folder/zUJjnCoB#_zK3vs5iW6atyElO735XDA UniScaleNR-Balanced/Strong]
 |[[User:Kim2091|Kim2091]]
 |4x
-|[https://creativecommons.org/licenses/by-sa/4.0/ CC BY-SA 4.0]
+|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 |ESRGAN
 |Universal Upscaler
-|8.23.21
+|2021-08-23
-|UniScaleNR (NR = Noise Removal) is a version of UniScale trained with camera noise injection. This model will remove most noise from images while upscaling well. You may need to interpolate this with an even stronger model like Siax.
+|Version of UniScale trained with camera noise injection (NR = Noise Removal). This model removes noise from images while upscaling.
 |[https://mega.nz/#!uhAVEaAA!qfwIQ44Ba3rXMAb2-M3aM3zFBCwzmyQ64IO_0O-csJE 4xESRGAN]
 |https://slow.pics/c/UkCwdK13
 |-
 |[https://mega.nz/folder/zUJjnCoB#_zK3vs5iW6atyElO735XDA UniScale_Restore]
 |[[User:Kim2091|Kim2091]]
 |4x
-|[https://creativecommons.org/licenses/by-sa/4.0/ CC BY-SA 4.0]
+|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 |ESRGAN
 |Universal Upscaler
-|8.27.21
+|2021-08-27
 |UniScale_Restore has strong compression removal that helps with restoring heavily compressed or noisy images. It is intended to compete with BSRGAN. Trained with BSRGAN_Resize and Combo_Noise in traiNNer.
 |[https://mega.nz/#!uhAVEaAA!qfwIQ44Ba3rXMAb2-M3aM3zFBCwzmyQ64IO_0O-csJE 4xESRGAN]
@@ Line 94: / Line 91: @@
 |[[User:Kim2091|Kim2091]]
 |4x
-|[https://creativecommons.org/licenses/by-sa/4.0/ CC BY-SA 4.0]
+|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 |ESRGAN
 |Universal Upscaler
-|9.06.21
+|2021-09-06
-|This model set is much sharper overall than UniScale V1. These models work great on game textures when interpolated 50/50 with UniScale_Restore, and work amazingly on uncompressed images.
+|This model set is much sharper overall than UniScale V1. These models work great on game textures when interpolated 50/50 with UniScale_Restore, and work amazingly on uncompressed images. DO NOT USE FOR COMPRESSED IMAGES, use the original UniScale for that.
 |[https://mega.nz/#!uhAVEaAA!qfwIQ44Ba3rXMAb2-M3aM3zFBCwzmyQ64IO_0O-csJE 4xESRGAN]
 |https://cdn.discordapp.com/attachments/884239326471393331/884296266857713704/unknown.png https://cdn.discordapp.com/attachments/884239326471393331/884294468709257216/unknown.png https://cdn.discordapp.com/attachments/884239326471393331/884298572894441512/unknown.png https://cdn.discordapp.com/attachments/884239326471393331/884302370136289323/unknown.png
 |-
-| [https://drive.google.com/file/d/1KToK9mOz05wgxeMaWj9XFLOE4cnvo40D/view 4x_Box]
-| buildist
-| 4x
-| [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]
-| ESRGAN
-| General Upscaler
-| 2019.06.20
-| RRDB_ESRGAN_x4 replacement for stuff that's supposed to look realistic.
-| none
-|-
 | [https://e.pcloud.link/publink/show?code=XZ6msZu8BOExSFH4SxixhuxoyrmbRYGQQk Misc]
@@ Line 128: / Line 112: @@
-| [https://drive.google.com/file/d/1d89zvzC6BKf5EKapBtc4MH2DX5GClKzl/view Nickelback]
+| [https://drive.google.com/file/d/1IHp3Ibs3B8wSKZg2iGAVy4DP5bTSTOBb/view FuzzyBox]
-| |[[User:BlackScout|BlackScout]]
+| |[[User:BlueAmulet|BlueAmulet]]
 | 4x
-| [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]
+|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
 | ESRGAN
 | General upscaler
-| 2020.02.12
+| 2020-07-21
-| this model aims to improve further on what has been achieved by the regular 4xESRGAN and also 4xBox. It can upscale most pictures/photos (granted they are clean enough) without destroying as much detail as the aforementioned models. It generates less moiré like patterns and keeps details without oversharpening or blurring the image too much.
+| Photographs, Artwork, Textures, Anything really - Tried out a new pixel loss idea based on ensuring the HR downscaled matches the LR. Colors are pretty good as well as edges, but generated details seem slightly fuzzy hence the name.
-| 4xESRGAN
+| RRDB_ESRGAN_x4
 |
 |-
+| [https://drive.google.com/u/1/uc?id=10h8YXKKOQ61ANnwLjjHqXJdn4SbBuUku&export=download Lollypop]
-| [https://drive.google.com/file/d/1GL0OjGPsMwSmCr_FmkqtRjZu2IM0s019/view NickelbackFS]
+| |[[User:LyonHrt|LyonHrt]]
-| |[[User:BlackScout|BlackScout]]
 | 4x
-| [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]
+|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
-| ESRGAN-FS
+| ESRGAN
 | General upscaler
-| 2020.07.10
+| 2020-09-11
-| This model aims to improve further on what has been achieved by the old Nickelback which was an improvement attempt over 4xESRGAN and also 4xBox. It can upscale most pictures/photos (granted they are clean enough) without destroying as much detail as Box and basic ESRGAN.
+| A universal model, that is aimed at prerendered images, but handles realistic faces, manga, pixel art and dedithering as well. Trained using the patchgan discriminator, with cx loss, cutmixup and frequency separation, it produces good results with a slight grain due to patchgan, with some sharpening using cutmixup.
-| 4xESRGAN
-|
-|-
-| [https://drive.google.com/file/d/1IHp3Ibs3B8wSKZg2iGAVy4DP5bTSTOBb/view FuzzyBox]
-| |[[User:BlueAmulet|BlueAmulet]]
-| 4x
-|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
-| ESRGAN
-| General upscaler
-| 2020.07.21
-| Photographs, Artwork, Textures, Anything really - Tried out a new pixel loss idea based on ensuring the HR downscaled matches the LR. Colors are pretty good as well as edges, but generated details seem slightly fuzzy hence the name.
-| RRDB_ESRGAN_x4
-|
-|-
-| [https://drive.google.com/u/1/uc?id=10h8YXKKOQ61ANnwLjjHqXJdn4SbBuUku&export=download Lollypop]
-| |[[User:LyonHrt|LyonHrt]]
-| 4x
-|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
-| ESRGAN
-| General upscaler
-| 2020.09.11
-| A universal model, that is aimed at prerendered images, but handles realistic faces, manga, pixel art and dedithering as well. Trained using the patchgan discriminator, with cx loss, cutmixup and frequency separation, it produces good results with a slight grain due to patchgan, with some sharpening using cutmixup.
 | 4X_esrgan.pth
 |
@@ Line 188: / Line 145: @@
 | ESRGAN
 | General Upscaler
-| 2021.04.01
+| 2021-04-01
 | General Upscaler
 | 1xESRGAN
 | https://imgsli.com/NDc3ODA/2/1
-|-
-| [https://icedrive.net/1/43GNBihZyi 4x NMKD Superscale Artisoft]
-| |[[User:nmkd|Nmkd]]
-| 4x
-| WTFPL
-| ESRGAN
-| General upscaler
-| 2020.07.22
-| Upscaling of realistic images/photos with noise and compression artifacts
-| 4xESRGAN
-|
 |-
@@ Line 215: / Line 158: @@
 | ESRGAN
 | General upscaler
-| 2020.11.06
+| 2020-11-06
 | Universal upscaler for clean and slightly compressed images (JPEG quality 75 or better)
 | 4xPSNR
 |
 |-
 |}
-===Art/Pixel Art===
+===Realistic Photos===
 {| class="wikitable sortable"
 |-
@@ Line 239: / Line 180: @@
 |-
-| [https://drive.google.com/open?id=1LFd4BqZ2N8p21JzjLX6hGdm7RpVIkH7s 4x_xbrz_90k]
+| [https://mega.nz/file/STI3kIKJ#mr3PqAu35SI9yGHWUdCJsXm2kai1R1SrsYsBafyH-Vo 4x-Valar]
-| LyonHrt
+| musl
 | 4x
-|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
+| CC0
-| ESRGAN
+| ESRGAN+
-| Pixel Art
+| Realistic Photos
-| 2019.06.05
+| 2021-09-16
-| Xbrz style pixel art upscaler
+| Meant as an experiment to test latest techniques implemented on traiNNer, including: AdaTarget, KernelGAN, UNet discriminator, nESRGAN+ arch, noise patches, camera noise, isotropic/anisotropic/sinc blur, frequency separation, contextual loss, mixup, clipL1 pixel loss, AdamP optimizer, etc. The config file is provided on the download link above. I encourage everybody to mirror the model, distribute and modify it in anywway you want.
-| 4xPSNR
+| 4x_RRDB_ESRGAN
-|
+| [https://cdn.discordapp.com/attachments/579685650824036387/888256099986321408/5.png Sample 1]
 |-
-| [https://drive.google.com/u/1/uc?id=1WXJQzqVGTKaX_8_Ma1hJ45W5nUkZBGFu&export=download Rebout]
+| [https://drive.google.com/file/d/1KToK9mOz05wgxeMaWj9XFLOE4cnvo40D/view 4x_Box]
-| LyonHrt
+| buildist
 | 4x
-| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
+| [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]
 | ESRGAN
-| Pixel Art/Sprites
+| Realistic Photos
-| 2019.08.04
+| 2019-06-20
-| For upscaling character sprites
+| RRDB_ESRGAN_x4 replacement for stuff that's supposed to look realistic.
-| Detoon
+| none
-|
 |-
+| [https://drive.google.com/file/d/1d89zvzC6BKf5EKapBtc4MH2DX5GClKzl/view Nickelback]
-| [https://drive.google.com/u/1/uc?id=1h-bY4gq_61sRF_xK3F4OiVK1cWRX0Q9w&export=download Rebout Blend]
+| |[[User:BlackScout|BlackScout]]
-| |[[User:LyonHrt|LyonHrt]]
 | 4x
-| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
+| [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]
 | ESRGAN
-| Pixel Art/Sprites
+| Realistic Photos
-|
+| 2020-02-12
-| Dataset: Custom prepared sprites from kof 94 rebout, which with gradients blending
+| this model aims to improve further on what has been achieved by the regular 4xESRGAN and also 4xBox. It can upscale most pictures/photos (granted they are clean enough) without destroying as much detail as the aforementioned models. It generates less moiré like patterns and keeps details without oversharpening or blurring the image too much.
-| Detoon
+| 4xESRGAN
 |
 |-
+| [https://drive.google.com/file/d/1GL0OjGPsMwSmCr_FmkqtRjZu2IM0s019/view NickelbackFS]
-| [https://u.pcloud.link/publink/show?code=kZ4WthXZDDnqbo4Hye8zBgCkhgbbQf3WXT27 Arzenal (v1.1)]
+| |[[User:BlackScout|BlackScout]]
-| ComputerK
+| 4x
-| 8x
+| [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]
-| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
+| ESRGAN-FS
-| ESRGAN
+| Realistic Photos
-| Pixel Art
+| 2020-07-10
-|
+| This model aims to improve further on what has been achieved by the old Nickelback which was an improvement attempt over 4xESRGAN and also 4xBox. It can upscale most pictures/photos (granted they are clean enough) without destroying as much detail as Box and basic ESRGAN.
-| Smooth general pixel art, Minecraft textures
+| 4xESRGAN
-| [https://nmkd.de/?esrgan-list Interpolated from nmkd's pixel art upscaling models with different interpolation settings and de-dithered versions]
 |
 |-
-| [https://drive.google.com/open?id=1jE2le5Lsab-AcMUMm0Zr9L-OvFNhnRAG 4x_scalenx_90k]
+| [https://icedrive.net/1/43GNBihZyi 4x NMKD Superscale]
-| LyonHrt
+| |[[User:nmkd|Nmkd]]
 | 4x
-|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
+| WTFPL
 | ESRGAN
-| Pixel Art
+| Clean Real-World Images
-| 2019.06.15
+| 2020-07-22
-| Scalenx style pixel art upscaler
+| Upscaling of realistic images/photos with noise and compression artifacts
-| 4xPSNR
+| 4xESRGAN
 |
 |-
+|}
-| [https://drive.google.com/open?id=1h5YufgcS1jbCdqwsw7dye0DvLj3kIfox 4x_xbrz+dd_260k]
-| LyonHrt
-| 4x
-|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
-| ESRGAN
-| Pixel Art
-| 2019.06.17
-| xbrz plus dedithering style pixel-art upscaling model to wiki under specialised
-| 4x_xbrz_90k
-|
-|-
+===Art/Pixel Art===
+{| class="wikitable sortable"
+|-
+! Model Name
+! Author
+! Scale
+! License
+! Architecture
+! Purpose (short)
+! Date Posted
+! Purpose (Full)
+! Pretrained_Model_G
+! sample
-| [https://1drv.ms/u/s!Aip-EMByJHY20xsc9EvnxVZ50Ja7 Lady0101_208000.pth]
+|-
-| DinnJerr
+| [https://drive.google.com/open?id=1LFd4BqZ2N8p21JzjLX6hGdm7RpVIkH7s 4x_xbrz_90k]
+| LyonHrt
 | 4x
-|
+|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
 | ESRGAN
-| Pixel Art/Paintings
+| Pixel Art
-| 2019.07.25
+| 2019-06-05
-| Upscale pixel art/paintings to digital painting style
+| Xbrz style pixel art upscaler
-| WaifuGAN_v3_30000.pth
+| 4xPSNR
 |
 |-
+| [https://drive.google.com/u/1/uc?id=1WXJQzqVGTKaX_8_Ma1hJ45W5nUkZBGFu&export=download Rebout]
+| LyonHrt
-| [https://de-next.owncube.com/index.php/s/gPjswdm6gCegQdz Fatality (4x_Fatality_01.pth)]
-| [[User:twittman|twittman]]
 | 4x
-|
+| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 | ESRGAN
 | Pixel Art/Sprites
-| 2019.07.29
+| 2019-08-04
-| Upscales medium resolution Sprites, dithered or undithered, can also upscale manga/anime and gameboy camera images.
+| For upscaling character sprites
-| 4x_Faces_04_N_180000_G.pth
+| Detoon
 |
 |-
-| [https://de-next.owncube.com/index.php/s/gPjswdm6gCegQdz Fatality MK2 (4x_Fatality_MKII_90000_G.pth)]
+| [https://drive.google.com/u/1/uc?id=1h-bY4gq_61sRF_xK3F4OiVK1cWRX0Q9w&export=download Rebout Blend]
-| [[User:twittman|twittman]]
+| |[[User:LyonHrt|LyonHrt]]
 | 4x
-|
+| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 | ESRGAN
 | Pixel Art/Sprites
 |
-| Dataset: Anime, Manga and some real life
+| Dataset: Custom prepared sprites from kof 94 rebout, which with gradients blending
-| A previously attempted MK2
+| Detoon
 |
 |-
-| [https://de-next.owncube.com/index.php/s/gPjswdm6gCegQdz Fatal Pixels (4x_FatalPixels_340000_G.pth)]
+| [https://u.pcloud.link/publink/show?code=kZ4WthXZDDnqbo4Hye8zBgCkhgbbQf3WXT27 Arzenal (v1.1)]
-| [[User:twittman|twittman]]
+| ComputerK
-| 4x
+| 8x
+| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
+| ESRGAN
+| Pixel Art
 |
-| ESRGAN
+| Smooth general pixel art, Minecraft textures
-| Pixel Art/Sprites
+| [https://nmkd.de/?esrgan-list Interpolated from nmkd's pixel art upscaling models with different interpolation settings and de-dithered versions]
 |
-| Dataset: Anime, Manga
-| Fatality_MKII_90k
-|
 |-
+| [https://drive.google.com/open?id=1jE2le5Lsab-AcMUMm0Zr9L-OvFNhnRAG 4x_scalenx_90k]
-| [https://drive.google.com/open?id=1BzT-KwUBiZzACxGdIN6w930aOVvvfhg7 Faithful 2x]
+| LyonHrt
-| Joey
+| 4x
-| 2x
+|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
-| CC-BY-NC 4.0
 | ESRGAN
 | Pixel Art
-| 2019.09.08
+| 2019-06-15
-|
+| Scalenx style pixel art upscaler
-| 2xESRGAN
+| 4xPSNR
 |
 |-
+| [https://drive.google.com/open?id=1h5YufgcS1jbCdqwsw7dye0DvLj3kIfox 4x_xbrz+dd_260k]
-| [https://drive.google.com/file/d/114yFJKeYCcr6st7aNNo9FJ8wDbEzLpdz/view?usp=sharing deviantPixelHD]
+| LyonHrt
-| raulsangonzalo
 | 4x
-| You're free to use this model for all non-commercial projects and interpolation, please give credit if featured in any projects
+|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
 | ESRGAN
 | Pixel Art
-| 2019.09.09
+| 2019-06-17
-| Similar to Manga109, can be used as a general digital upscaler as well as with pixel art
+| xbrz plus dedithering style pixel-art upscaling model to wiki under specialised
-| RRDB_PSNR_x4
+| 4x_xbrz_90k
-| https://www.youtube.com/channel/UCwBfuiHdSPQ-zslOmiW8OHg
+|
 |-
-| [https://drive.google.com/file/d/1hLhsp3aKurLys4cALQiEkYxyxGWNf1ET/view?usp=drivesdk 4x_BS_Deviance]
-| systemd-resolved/BlackScout
+| [https://1drv.ms/u/s!Aip-EMByJHY20xsc9EvnxVZ50Ja7 Lady0101_208000.pth]
+| DinnJerr
 | 4x
-| GNU GPLv3
+|
 | ESRGAN
-| Art
+| Pixel Art/Paintings
-| 2020.02.25
+| 2019-07-25
-| This model upscales Digital Drawings. It was trained on random drawings found on DeviantArt. Mostly Landscape and Scenery and Illustrations of Characters. It does fairly well and works on many different styles.
+| Upscale pixel art/paintings to digital painting style
-| 4xESRGAN
+| WaifuGAN_v3_30000.pth
 |
 |-
-| [https://drive.google.com/open?id=1Uc9RUc2YpZKpPoGQeGxNUb3Ro-U720cH 4xSmoothRealism]
-| Joey
+| [https://de-next.owncube.com/index.php/s/LQSgW98ZeaoA3Po Fatality (4x_Fatality_01.pth)]
+| [[User:twittman|twittman]]
 | 4x
-|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
+|
 | ESRGAN
-| Pixel Art
+| Pixel Art/Sprites
-| 2020.03.04
+| 2019-07-29
-| Pixel art, rocky/grainy textures? Quantization smoothing, adding detail.
+| Upscales medium resolution Sprites, dithered or undithered, can also upscale manga/anime and gameboy camera images.
-| 4x_RRDB_PSNR_old_arch.pth
+| 4x_Faces_04_N_180000_G.pth
 |
 |-
-| [https://1drv.ms/u/s!Aip-EMByJHY26nuB0Lo0rdirfGoi?e=XI9Fa2 8x_HugePeeps_v1]
-| DinJerr
+| [https://de-next.owncube.com/index.php/s/bT8nHoK4oD2MjoH Fatality MK2 (4x_Fatality_MKII_90000_G.pth)]
-| 8x
+| [[User:twittman|twittman]]
-|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
+| 4x
+|
 | ESRGAN
-| Art/People
+| Pixel Art/Sprites
-| 2020.06.16
-| Painted humans
-| TGHQFace8x
 |
+| Dataset: Anime, Manga and some real life
+| A previously attempted MK2
+|
 |-
-| [https://1drv.ms/u/s!Aip-EMByJHY27CHg3-1Uue5KgbtK?e=6k0COU BigFace_v3_Clear]
-| DinJerr
+| [https://de-next.owncube.com/index.php/s/KRa4bDzZpAGgyWr Fatal Pixels (4x_FatalPixels_340000_G.pth)]
+| [[User:twittman|twittman]]
 | 4x
-|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
+|
 | ESRGAN
-| Art/People
+| Pixel Art/Sprites
-| 2020.07.22
 |
-| 4x_BigFace
+| Dataset: Anime, Manga
+| Fatality_MKII_90k
 |
 |-
-| [https://drive.google.com/file/d/1OVqM2D-T5meRBCdFjsGVl0bgQZd8kZe5/view?usp=drivesdk 4x_BS_DevianceV2]
-| systemd-resolved/BlackScout
+| [https://drive.google.com/open?id=1BzT-KwUBiZzACxGdIN6w930aOVvvfhg7 Faithful 2x]
-| 4x
+| Joey
-| GNU GPLv3
+| 2x
-| ESRGAN-FS
+| CC-BY-NC 4.0
-| Art
+| ESRGAN
-| 2020.07.25
+| Pixel Art
-| upscales Digital Drawings. It was trained on random drawings found on DeviantArt. Mostly Landscape and Scenery and Illustrations of Characters. It does fairly well and works on many different styles.
+| 2019-09-08
-| 4xESRGAN
+|
+| 2xESRGAN
 |
 |-
-| [https://drive.google.com/file/d/1OVqM2D-T5meRBCdFjsGVl0bgQZd8kZe5/view?usp=drivesdk 4x_BS_DevianceMIP]
+| [https://drive.google.com/file/d/114yFJKeYCcr6st7aNNo9FJ8wDbEzLpdz/view?usp=sharing deviantPixelHD]
+| raulsangonzalo
+| 4x
+| You're free to use this model for all non-commercial projects and interpolation, please give credit if featured in any projects
+| ESRGAN
+| Pixel Art
+| 2019-09-09
+| Similar to Manga109, can be used as a general digital upscaler as well as with pixel art
+| RRDB_PSNR_x4
+| https://www.youtube.com/channel/UCwBfuiHdSPQ-zslOmiW8OHg
+|-
+| [https://drive.google.com/file/d/1hLhsp3aKurLys4cALQiEkYxyxGWNf1ET/view?usp=drivesdk 4x_BS_Deviance]
 | systemd-resolved/BlackScout
 | 4x
 | GNU GPLv3
-| ESRGAN-FS
+| ESRGAN
 | Art
-| 2020.07.25
+| 2020-02-25
-| upscales Digital Drawings. It was trained on random drawings found on DeviantArt. Mostly Landscape and Scenery and Illustrations of Characters. It does fairly well and works on many different styles.
+| This model upscales Digital Drawings. It was trained on random drawings found on DeviantArt. Mostly Landscape and Scenery and Illustrations of Characters. It does fairly well and works on many different styles.
 | 4xESRGAN
 |
 |-
-| [https://icedrive.net/1/43GNBihZyi 4x NMKD-PatchySharp]
-| nmkd
+| [https://drive.google.com/open?id=1Uc9RUc2YpZKpPoGQeGxNUb3Ro-U720cH 4xSmoothRealism]
+| Joey
 | 4x
-| WTFPL
+|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
-| ESRGAN (Old Arch)
+| ESRGAN
-| Art/CGI
+| Pixel Art
-| 2020.09.12
+| 2020-03-04
-| Upscaler for clean images or images with compression artifacts (jpeg quality >75) - Produces very sharp lines/edges due to NN-Filtered HR images. Proven to produce very, very good results on drawings (sharp lines) and CGI, but should also work pretty well for real-world images.
+| Pixel art, rocky/grainy textures? Quantization smoothing, adding detail.
-| 4xESRGAN
+| 4x_RRDB_PSNR_old_arch.pth
-| https://i.imgur.com/PzFkmAg.png
+|
 |-
-| [https://1drv.ms/u/s!Aip-EMByJHY27EM71c8uwgsp7Nla?e=epTLlT 4x_UltraFArt_Detail_v2b]
+| [https://1drv.ms/u/s!Aip-EMByJHY26nuB0Lo0rdirfGoi?e=XI9Fa2 8x_HugePeeps_v1]
 | DinJerr
-| 4x
+| 8x
-|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
+|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
-| ESRGAN (Old Arch)
+| ESRGAN
-| Art
+| Art/People
-| 2020.10.03
+| 2020-06-16
-| Detail upscaler for illustrations - Very experimental model trained with extreme patch size and double the network size.  Supposed to upscale while maintaining brush stroke feel as opposed to sharp anime or grainy photo models. Not sure if that succeeded. Anyway, will eat your VRAM and slow compared to other models. Do not use for projects with large quantities.
+| Painted humans
-| 4x_TinyFArt
+| TGHQFace8x
 |
 |-
-| [https://drive.google.com/file/d/1RhEkTYy-1DxJP2ynLW5NSrz6BjVMy8xx/view 4x_Struzan]
+| [https://1drv.ms/u/s!Aip-EMByJHY27CHg3-1Uue5KgbtK?e=6k0COU BigFace_v3_Clear]
-| Laserschwert
+| DinJerr
 | 4x
-|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
+|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
 | ESRGAN
-| Art
+| Art/People
-| 2020.10.12
+| 2020-07-22
-| Upscaling airbrush/pencil-based artwork
+|
-| 4xPSNR
+| 4x_BigFace
-| https://drive.google.com/drive/folders/1fyeIWInDrM6r-xxrCW4U09oafWw08u9S?usp=sharing
+|
 |-
+| [https://drive.google.com/file/d/1OVqM2D-T5meRBCdFjsGVl0bgQZd8kZe5/view?usp=drivesdk 4x_BS_DevianceV2]
-| [https://drive.google.com/drive/u/1/folders/1C82o6p9jXzOZIZtMHeVXFW8BYV0s10FA 4x_PixelPerfectV4_137000_G]
+| systemd-resolved/BlackScout
-| Mutin Choler
 | 4x
-| WTFPL
+| GNU GPLv3
-| ESRGAN
+| ESRGAN-FS
-| Pixel Art/Sprites
+| Art
-| 2020.11.16
+| 2020-07-25
-| Sprite Upscaler
+| upscales Digital Drawings. It was trained on random drawings found on DeviantArt. Mostly Landscape and Scenery and Illustrations of Characters. It does fairly well and works on many different styles.
 | 4xESRGAN
-| https://imgsli.com/MzgxMTc/1/2
+|
 |-
-| [https://1drv.ms/u/s!Aip-EMByJHY200v-vXPezsCsUd5T?e=r7mBNn BigFArt]
+| [https://drive.google.com/file/d/1OVqM2D-T5meRBCdFjsGVl0bgQZd8kZe5/view?usp=drivesdk 4x_BS_DevianceMIP]
-| DinJerr
+| systemd-resolved/BlackScout
+| 4x
+| GNU GPLv3
+| ESRGAN-FS
+| Art
+| 2020-07-25
+| upscales Digital Drawings. It was trained on random drawings found on DeviantArt. Mostly Landscape and Scenery and Illustrations of Characters. It does fairly well and works on many different styles.
+| 4xESRGAN
+|
+|-
+| [https://drive.google.com/file/d/1RhEkTYy-1DxJP2ynLW5NSrz6BjVMy8xx/view 4x_Struzan]
+| Laserschwert
+| 4x
+|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
+| ESRGAN
+| Art
+| 2020-10-12
+| Upscaling airbrush/pencil-based artwork
+| 4xPSNR
+| https://drive.google.com/drive/folders/1fyeIWInDrM6r-xxrCW4U09oafWw08u9S?usp=sharing
+|-
+| [https://drive.google.com/drive/u/1/folders/1C82o6p9jXzOZIZtMHeVXFW8BYV0s10FA 4x_PixelPerfectV4_137000_G]
+| Mutin Choler
+| 4x
+| WTFPL
+| ESRGAN
+| Pixel Art/Sprites
+| 2020-11-16
+| Sprite Upscaler
+| 4xESRGAN
+| https://imgsli.com/MzgxMTc/1/2
+|-
+| [https://1drv.ms/u/s!Aip-EMByJHY200v-vXPezsCsUd5T?e=r7mBNn BigFArt]
+| DinJerr
 | 4x
 |[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
 | ESRGAN
 | Pixel art
-| 2020.15.31
+| 2020-15-31
 | Larger-scaled pixels to digital painting
 | Face Focus
@@ Line 533: / Line 527: @@
 | ESRGAN
 | Pixel Art
-| 2021.03.24
+| 2021-03-24
 | Low-resolution MS Paint drawings, general pixel art, and general dithered pixel art, all kinds of pixel art
 | A mix of: 8x_glasshopper_ArzenalV1.1, 8x_glasshopper_MS-Unpainter, 8x_NMKD-Sphax + Sphax de-dither, and 8x_NMKD-YanderePixelArt4 + Yandere De-Dither, all interpolated with adjustments using the interpolate function in Cupscale
@@ Line 545: / Line 539: @@
 | ESRGAN
 | Pixel Art
-| 2021.03.24
+| 2021-03-24
 | Low-resolution MS Paint drawings, general pixel art, and general dithered pixel art, all kinds of pixel art
 | A mix of: 8x_glasshopper_ArzenalV1.1, 8x_glasshopper_MS-Unpainter, 8x_NMKD-Sphax + Sphax de-dither, and 8x_NMKD-YanderePixelArt4 + Yandere De-Dither, all interpolated with adjustments using the interpolate function in Cupscale
@@ Line 557: / Line 551: @@
 | ESRGAN
 | Art
-| 2021.05.14
+| 2021-05-14
 | Painting style with larger shaped features (?).
 | 4x_UltraFArt
@@ Line 569: / Line 563: @@
 | ESRGAN
 | Pixel Art
-| 2021.06.09
+| 2021-06-09
 | Basic pixel art upscaling, for people who want a more simpler style and lightweight pixel art upscaling model.
 | https://drive.google.com/drive/folders/1mYTMpwDlKQulBmjgKpcxL3-T6xAGXVxl?usp=sharing
@@ Line 600: / Line 594: @@
 | ESRGAN
 | Anime/Pretrained
-| 2020.04.08
+| 2020-04-08
 | NTSC DVD-spec encode x4 scale super-resolution for Anime Drawing style content. The dataset has a LOT of data throughout almost every frame, so it had a lot of stuff to learn. The resulting DVD-spec encode also had some blocking at times so it also learned to fight off blocking.
 | RRDB_PSNR_x4
@@ Line 613: / Line 607: @@
 | ESRGAN
 | Anime/Pretrained
-| 2020.04.08
+| 2020-04-08
 | Anime landscape upscale. Trained on Frames from BluRay of Byousoku 5 Centimeter
 | [https://mega.nz/#!vtgSWKQT!K7Asn2zKe4N70R2aV89KEMTKhH3aiyGAAiuQDJF09qs 2xESRGAN]
@@ Line 625: / Line 619: @@
 | ESRGAN
 | Anime
-| 2020.08.16
+| 2020-08-16
 | i made this model to upscale old anime and denoise.
 | RRDB_PSNR_x4.pth
@@ Line 637: / Line 631: @@
 | ESRGAN
 | Anime
-| 2020.08.29
+| 2020-08-29
 | Made this model to upscale old anime that looks blurry.
 | 2xESRGAN
@@ Line 650: / Line 644: @@
 | ESRGAN
 | Anime
-| 2020.09.01
+| 2020-09-01
 | 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 ;)
 | RRDB_PSNR_x4.pth
@@ Line 663: / Line 657: @@
 | ESRGAN
 | Anime
-| 2020.09.12
+| 2020-09-12
 | this model has been trained to work on lines and details - works well on animes which have fairly fine lines at the base but also the video must be progressive or deinterlaced
 | 2xPSNR.pth
@@ Line 676: / Line 670: @@
 | ESRGAN
 | Anime
-| 2020.09.16
+| 2020-09-16
 | Upscaling of lossless (uncompressed) anime art.
 | interpolated - SYNLA: |[[User:LyonHrt|LyonHrt]] (bloc97 dataset, MIT license). Fatal Pixels, Fatality Anime: Twittman (CC BY-NC-SA 4.0, acquired special permission to relicense. https://s.katou.pw/Discord_dPUiI1x3Pf.png). Deviance: |[[User:BlackScout|BlackScout]] ([https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3])
@@ Line 690: / Line 684: @@
 | ESRGAN
 | Art/Anime
-| 2020.10.08
+| 2020-10-08
 | Highly flexible 2D Art upscaling
 | 4xESRGAN
@@ Line 703: / Line 697: @@
 | ESRGAN Lite [nf=32 nb=12]
 | Anime
-| 2020.10.15
+| 2020-10-15
 | Fast Anime/Art upscaling
 | 4x_DIV2K-Lite
@@ Line 716: / Line 710: @@
 | ESRGAN
 | Anime
-| 2020.11.01
+| 2020-11-01
 | Upscale old anime like pokemon
 | none
@@ Line 730: / Line 724: @@
 | ESRGAN
 | Anime
-| 2020.12.09
+| 2020-12-09
 | 2x_PSNR.pth
 |
@@ Line 742: / Line 736: @@
 | ESRGAN
 | Anime
-| 2020.12.09
+| 2020-12-09
 | upscaling old anime. help to denoise and find lines and dehalo
 | 2x_PSNR.pth
@@ Line 755: / Line 749: @@
 | ESRGAN (Lite)
 | Anime
-| 2021.01.26
+| 2021-01-26
 |
 |
@@ Line 768: / Line 762: @@
 | ESRGAN (Lite)
 | Anime
-| 2021.01.26
+| 2021-01-26
 |
 | 4x_DIV2K-Lite_1M
@@ Line 780: / Line 774: @@
 | ESRGAN
 |
-| 2021.02.23
+| 2021-02-23
 | Trained this model to see how it would work trying to essentially get the same results as Waifu2x but with ESRGAN
 | none
@@ Line 792: / Line 786: @@
 | EDSR (SRResNet)
 |
-| 2021.02.25
+| 2021-02-25
 | Emulating Waifu2x at Noise Level 3 NOTE: You can't use this with regular esrgan forks or the bot, it has to be run through basicsr
 | none
@@ Line 804: / Line 798: @@
 | ESRGAN
 | Anime
-| 2021.03.17
+| 2021-03-17
 |
 | RRDB_ESRGAN_x4_old_arch
@@ Line 816: / Line 810: @@
 | ESRGAN
 | Denoise/Dehalo
-| 2021.04.17
+| 2021-04-17
 | Denoise, dehalo, derainbow old anime
 | 2xESRGAN
@@ Line 828: / Line 822: @@
 | ESRGAN
 | Anime
-| 2021.06.05
+| 2021-06-05
 | Upscaling frames from Irodori anime (namely kemono friends) from 540p (the source render resolution) to 1080p, low resolution flat shaded art, de-JPEG of the aforementioned
 | x2_CGIMaster_v1
@@ Line 840: / Line 834: @@
 | ESRGAN
 | Anime
-| 2021.07.18
+| 2021-07-18
 | Upscaling of anime art (Specifically visual novel CG art)
 |
@@ Line 880: / Line 874: @@
 | ESRGAN
 | Manga
-| 2020.12.14
+| 2020-12-14
 | Manga-style images with or without dithering - cartoons, maybe pixel art, etc
 | RRDB_PSNR_x4
@@ Line 892: / Line 886: @@
 | ESRGAN+
 | Manga
-| 2021.05.24
+| 2021-05-24
 | To upscale manga including halftones, instead of trying to smooth them out.
 | unreleased model
@@ Line 918: / Line 912: @@
 | [https://u.pcloud.link/publink/show?code=kZy6TKXZruJNkiysJ3R2fqxMra9RQQquMczV 8x_BoyMeBob-Redux]
 | Joey
-| 4x
+| 8x
 | CC BY-NC-SA 4.0
 | ESRGAN+ (Joey's fork, eFonte fork, or iNNfer required to use)
 | Animation
-| 2021.08.19
+| 2021-08-19
 | Upscaling cartoons
 | 8xBoyMeBob (unreleased) which used 8xESRGAN
@@ Line 935: / Line 929: @@
 | ESRGAN
 | Animation
-| 2019.09.12
+| 2019-09-12
 |
 | 4xESRGAN
@@ Line 948: / Line 942: @@
 | ESRGAN
 | Animation - Quantized
-| 2019.11.02
+| 2019-11-02
 | Removed color quantization/indexing and dithering from cartoon style images and textures
 | 1x_1xDEDITHER_32_512_126900_G
@@ Line 960: / Line 954: @@
 | ESRGAN
 | Animation
-| 2019.11.08
+| 2019-11-08
 | 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.
 | 4x Spongebob v6
@@ Line 972: / Line 966: @@
 | ESRGAN
 | Animation - Quantized
-| 2019.11.08
+| 2019-11-08
 | A model I trained to do both de-quantizing as well as upscaling. The results are pretty blurry but it works decently for what it is.
 | 4x Spongebob v6
 |
 |-
 | [https://drive.google.com/open?id=1NHuNF36dp_myvPH__IesJ5x6GuppUwS6 4x Spongebob v6]
 | Joey
@@ Line 983: / Line 978: @@
 | ESRGAN
 | Animation
-| 2019.11.08
+| 2019-11-08
 | New version of the Spongebob model. Ideally it's a lot sharper and cleaner but I'm still not sure if it works better than the old one. From what I can tell it's better in many cases.
 | 4xESRGAN
 |
-|
+|-
-|-
 | [https://drive.google.com/open?id=1D3AjglmYlQ2HGda7iw4JXckSGbVBqsQr SpongeBob.CEL.2.HD.125ki.499e-PHOENiX.pth]
 | Phoenix
@@ Line 996: / Line 990: @@
 | ESRGAN
 | Animation
-| 2019.12.24
+| 2019-12-24
 | Restorative CEL Animation MPEG-1 and 2 Model specifically crafted for SpongeBob S01.
 | RRDB_PSNR_x4.pth
-|
 |
 |-
@@ Line 1,009: / Line 1,002: @@
 |
 | BC1/DXT1 compression
-| 2020.11.01
+| 2020-11-01
 | First ever lite BC1/DXT1 model. Probably only useful for cartoony textures like those in spongebob games or other cartoon licensed games.
 | 1x_DIV2K-Lite_80k
@@ Line 1,021: / Line 1,014: @@
 | ESRGAN
 | Animation, Pixel Art
-| 2020.12.11
+| 2020-12-11
 |
 | 4xSpongeBob
@@ Line 1,032: / Line 1,025: @@
 | ESRGAN
 | Animation, Pixel Art
-| 2020.12.11
+| 2020-12-11
 |
 | 4xSpongeBob
@@ Line 1,042: / Line 1,035: @@
 | [[User:Kim2091|Kim2091]]
 | 2x
-| WTFPL
+| CC BY-NC-SA 4.0
 | ESRGAN
 | Animation, Pixel Art
-| 2021.08.31
+| 2021-08-31
 | This model has VERY strong compression removal and line restructuring that allows it to restore any heavily compressed drawings, animation, cartoons, or anime. Also works on games as well as DDS compression. It renders frames very quickly and is very viable for restoring videos.
 | 4x-MMScale
@@ Line 1,057: / Line 1,050: @@
 https://cdn.discordapp.com/attachments/880826637543964712/882110147676221480/Spongebob_UniScale_CartoonRestore.mp4
 Original for comparison: https://cdn.discordapp.com/attachments/547949806761410560/881971445813633044/Spongebob_Original.mp4
+|-
+| [https://www108.zippyshare.com/v/PYWFtETd/file.html 2x_ATLA_KORRA_336200_G.pth]
+| aptitude
+| 2x
+|
+| ESRGAN
+| Animation
+| 2021-07-22
+| Upscaling of Animation based on The Legend of Korra.
+| 2xESRGAN.pth
+| https://imgsli.com/NjIzMzU https://imgsli.com/NjIzMTY https://imgsli.com/NjIzMTc https://imgsli.com/NjIzMTg https://imgsli.com/NjIzMTk https://imgsli.com/NjIzMjA https://imgsli.com/NjIzMjE https://imgsli.com/NjIzMjQ https://imgsli.com/NjIzMjc https://imgsli.com/NjIzMjY https://imgsli.com/NjIzMjU
 |-
@@ Line 1,083: / Line 1,087: @@
 | ESRGAN
 | Digital Animation
-| 2021.02.18
+| 2021-02-18
 | Replica of DigitalFrames 2.1 but interpolatable
 | RRDB_ESRGAN_x4_old_arch.pth
@@ Line 1,095: / Line 1,099: @@
 | ESRGAN
 | Digital Animation
-| 2021.03.23
+| 2021-03-23
 | Up-scaling Digital Animation
 | 4x_fatal_Anime_500000_G
@@ Line 1,101: / Line 1,105: @@
 |-
-| [https://mega.nz/folder/QsUWWJjb#SIuqcPEzrkpLW0WNSth66g 2X_KcjpunkAnime_2.0_Lite_196496_G]
+| [https://mega.nz/folder/4oVRHQaA#vE3Lplfetc9z9SJOxZD6nA 2X_KcjpunkAnime_2.0_Lite_196496_G]
 | KCJPUNK
 | 2x
@@ Line 1,107: / Line 1,111: @@
 | ESRGAN-light
 | Digital Animation
-| 2021.03.23
+| 2021-03-23
 | Up-scaling Digital Animation
 | This is my first attempt to make Light model so I started with 2x version. This model is much faster and give better results than my previous one.
@@ Line 1,137: / Line 1,141: @@
 | ESRGAN
 | Art
-| 2019.07.29
+| 2019-07-29
 | Clean up model for scanned illustrations. - Made to remove moire patterns, reduce small imperfections, and correct mild compression artifacts in scanned Kingdom Death: Monster illustrations. CMYK printing often shifts colors, so this is intended to reverse that color shifting as well.
 | Failed attempts based on ESRGAN_1x_JPEG_80to100
@@ Line 1,150: / Line 1,154: @@
 | ESRGAN
 | Art
-| 2019.09.07
+| 2019-09-07
 | Digital Art Upscaler
 | 4xfalcoon300(manga).pth
@@ Line 1,192: / Line 1,196: @@
 | ESRGAN
 | Animation
-| 2019.10.29
+| 2019-10-29
 | Comic and Cartoon style images
 | 4x_Fatality_MKII_90000_G_02.pth
@@ Line 1,257: / Line 1,261: @@
 | ESRGAN
 | Animation
-| 2021.02.24
+| 2021-02-24
 | Upscale MLP episodes
 | 2x_ERGAN
@@ Line 1,270: / Line 1,274: @@
 | ESRGAN
 | Animation
-| 2021.03.01
+| 2021-03-01
 | Upscale MLP episodes. Liter version.
 | 2x_ESRGAN
@@ Line 1,283: / Line 1,287: @@
 | ESRGAN (NF=32, NB=12)
 | Animation
-| 2021.04.06
+| 2021-04-06
 | Upscale MLP episodes. Liter version. Able to handle compression better compared to V1.0 and no longer creates halo's/rainbows. Good for Vector 2D art however converts detail to blobs.
 | none
@@ Line 1,296: / Line 1,300: @@
 | ESRGAN (NF=48, NB=18)
 | Animation
-| 2021.04.11
+| 2021-04-11
 | Upscale MLP episodes. Liter version. Able to handle compression better compared to V1.0 and no longer creates halo's/rainbows. Good for Vector 2D art however converts detail to blobs. Leaves more blobs when converting detail to blobs compared to litepony
 | none
@@ Line 1,309: / Line 1,313: @@
 | ESRGAN (NF=32, NB=12)
 | Animation
-| 2021.04.12
+| 2021-04-12
 | Good for Vector 2D art however converts detail to blobs. Quality seems weak with this one. However posting anyways to see if a use is found.
 | none
@@ Line 1,322: / Line 1,326: @@
 | ESRGAN
 | Animation
-| 2021.04.30
+| 2021-04-30
 | Upscale MLP episodes. Full version. Able to handle compression better compared to V1.0 and no longer creates halo's/rainbows. Good for Vector 2D art however converts detail to blobs.
 | none
@@ Line 1,335: / Line 1,339: @@
 | ESRGAN
 | Animation
-| 2021.04.30
+| 2021-04-30
 | Upscale MLP episodes. Full version. Able to handle compression better compared to V1.0 and no longer creates halo's/rainbows. Good for Vector 2D art however converts detail to blobs.
 | none
@@ Line 1,348: / Line 1,352: @@
 | ESRGAN
 | Animation
-| 2021.04.30
+| 2021-04-30
 | Upscale MLP episodes. Full version. Able to handle compression better compared to V1.0 and no longer creates halo's/rainbows. Good for Vector 2D art however converts detail to blobs.
 | none
@@ Line 1,361: / Line 1,365: @@
 | ESRGAN
 | Animation
-| 2021.06.07
+| 2021-06-07
 | 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.
 | Pony Models
@@ Line 1,390: / Line 1,394: @@
 | ESRGAN
 | Traditional Animation
-| 2021.02.19
+| 2021-02-19
 | Upscaling Dragon Ball Z DBox DVD's.  - grainy sources. It keeps some grain, but also doing some cleaning, sharpening, and fixing.
 | none
@@ Line 1,402: / Line 1,406: @@
 | ESRGAN
 | Traditional Animation
-| 2021.03.21
+| 2021-03-21
 | 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.
 | 4xESRGAN
@@ Line 1,439: / Line 1,443: @@
 |-
-|-
 |[https://drive.google.com/drive/folders/1HWokMsUwsR_Mw-NOJgc8OdS8mkdIje_C JPG (40-60%)]
 | |[[User:BlueAmulet|BlueAmulet]]
@@ Line 1,452: / Line 1,456: @@
 |-
-|-
 |[https://drive.google.com/drive/folders/1HWokMsUwsR_Mw-NOJgc8OdS8mkdIje_C JPG (60-80%)]
 | |[[User:BlueAmulet|BlueAmulet]]
@@ Line 1,465: / Line 1,468: @@
 |-
-|-
 | [https://drive.google.com/drive/folders/1HWokMsUwsR_Mw-NOJgc8OdS8mkdIje_C JPG (80-100%)]
 | |[[User:BlueAmulet|BlueAmulet]]
@@ Line 1,478: / Line 1,481: @@
 |-
-|-
 |[https://mega.nz/#!OzpFHYAD!0swA_J18bSygyVgMHac3P4kkBx6ZYUHNnL9qXhiu-9I JPG (20-40%)]
 | |[[User:Alsa|Alsa]]
@@ Line 1,491: / Line 1,494: @@
 |-
-|-
 |[https://mega.nz/#!Kr5Q1C7C!yq4910SjvAyMS_40IhrOsShA21OXdP8rxfiMsEuYbW8 JPG (40-60%)]
 | |[[User:Alsa|Alsa]]
@@ Line 1,504: / Line 1,507: @@
 |-
-|-
 |[https://mega.nz/#!6j4RRQBD!3CX7XN9ZEAeWR3aXBAsDRpxSfKbM8zR1N9GXgbP38Ig JPG (60-80%)]
 | |[[User:Alsa|Alsa]]
@@ Line 1,517: / Line 1,520: @@
 |-
-|-
 | [https://mega.nz/#!2uxwRYYT!2KgAsRac70jqYYXyOvQ5HSd4ipoqC0WGB4Md2Su_OM8 JPG (80-100%)]
 | |[[User:Alsa|Alsa]]
@@ Line 1,530: / Line 1,533: @@
 |-
+| [https://icedrive.net/1/43GNBihZyi 4x NMKD-PatchySharp]
+| nmkd
+| 4x
+| WTFPL
+| ESRGAN (Old Arch)
+| Art/CGI
+| 2020-09-12
+| Upscaler for clean images or images with compression artifacts (jpeg quality >75) - Produces very sharp lines/edges due to NN-Filtered HR images. Proven to produce very, very good results on drawings (sharp lines) and CGI, but should also work pretty well for real-world images.
+| 4xESRGAN
+| https://i.imgur.com/PzFkmAg.png
 |-
 | [https://drive.google.com/open?id=1HWokMsUwsR_Mw-NOJgc8OdS8mkdIje_C 1x_JPEG (by compression level)]
 | |[[User:BlueAmulet|BlueAmulet]]
@@ Line 1,537: / Line 1,552: @@
 | ESRGAN
 | JPEG
-| 2019.08.01
+| 2019-08-01
 | A collection of models for jpeg artifact removal, examples are included in the provided link
 | JPEG models by |[[User:Alsa|Alsa]]
@@ Line 1,543: / Line 1,558: @@
 |-
-|-
 | [https://de-next.owncube.com/index.php/s/w82HLrLWmWi4SQ5 DeJpeg Fatality_PlusULTRA!]
 | |[[User:Twittman|Twittman]]
@@ Line 1,550: / Line 1,565: @@
 | ESRGAN
 | JPEG
-| 2019.10.29
+| 2019-10-29
 |
 | 1x_DeJpeg_Fatality_01_200000_G.pth
@@ Line 1,556: / Line 1,571: @@
 |-
-|-
 | [https://mega.nz/folder/zUJjnCoB#_zK3vs5iW6atyElO735XDA DeCompress and DeCompress-Strong]
 | |[[User:Kim2091|Kim2091]]
 | 4x
-| [https://creativecommons.org/licenses/by-sa/4.0/ CC BY-SA 4.0]
+| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 | ESRGAN
 | JPEG (works on many compression formats)
-| 2021.09.07
+| 2021-09-07
 | This is UniScaleV2, but intended for images with compression. Seems to work best on realistic images.
 | 4xESRGAN
@@ Line 1,569: / Line 1,584: @@
 |-
-|-
 | [https://de-next.owncube.com/index.php/s/w82HLrLWmWi4SQ5 JPG PlusULTRA (1x_jpg_PlusULTRA_130000.pth)]
 | |[[User:Twittman|Twittman]]
@@ Line 1,576: / Line 1,591: @@
 | ESRGAN
 | JPEG
-| 2019.10.29
+| 2019-10-29
 |
 | 1x_DeJpeg_Fatality_01_200000_G.pth
@@ Line 1,582: / Line 1,597: @@
 |-
-|-
 | [https://f002.backblazeb2.com/file/ESRGAN/_RELEASE/1x_Saiyajin_DeJPEG_300000_G.pth SaiyaJin DeJpeg]
 | |[[User:Twittman|Twittman]]
@@ Line 1,589: / Line 1,604: @@
 | ESRGAN
 | JPEG
-| 2019.10.29
+| 2019-10-29
 | Dataset: Anime, real life, manga, generated
 | 1x_DeJpeg_Fatality_PlusULTRA_200000_G.pth
@@ Line 1,601: / Line 1,616: @@
 | ESRGAN
 | JPEG
-| 2020.02.19
+| 2020-02-19
 | This model is meant to reduce or eliminate JPEG Compression without making the original images too smooth or killing detail. It manages to do a fairly good job but don't expect overly compressed images to work with this.
 | 1xESRGAN + previous attempts
@@ Line 1,613: / Line 1,628: @@
 | ESRGAN
 | JPEG compression
-| 2020.07.20
+| 2020-07-20
 | Photos/realistic 3D with JPEG compression, quality 85-95 and 4:2:0 chroma subsampling. - Created for Myst3 images, since all have 4:2:0 chroma subsampling and existing JPEG models did not give good results. Favors smoothing over over-sharpening.
 | 4xESRGAN
@@ Line 1,625: / Line 1,640: @@
 | ESRGAN (lite)
 | JPEG compression
-| 2020.10.10
+| 2020-10-10
 |
 | 1x_DIV2K-Lite_80k.pth
@@ Line 1,637: / Line 1,652: @@
 | ESRGAN Lite [nf=32 nb=12]
 | JPEG compression
-| 2020.10.13
+| 2020-10-13
 | 1xESRGAN
 | 1xESRGAN
@@ Line 1,649: / Line 1,664: @@
 | ESRGAN
 | JPEG
-| 2021.06.17
+| 2021-06-17
 | Remove JPEG artifacts from manga without destroying screentone and other details
 | none
@@ Line 1,746: / Line 1,761: @@
 | ESRGAN
 | BC1 Compression
-| 2019.09.05
+| 2019-09-05
 | A model to help remove compression artifacts in BC1-BC3/DXT1-DXT5 compressed images (these all have color encoded the same way)
 | none
@@ Line 1,753: / Line 1,768: @@
 |-
-| [https://drive.google.com/open?id=1LHplsPRqhmjR28jGgRlEekeP_bvx3nUC 1x_artifacts_bc1_free_alsa.pth.pth]
+| [https://e.pcloud.link/publink/show?code=XZXbsZK03Y0UsmtR0W7wRMHWGvYkzgPII7 1x_artifacts_bc1_free_alsa.pth]
 | |[[User:Alsa|Alsa]]
 | 1x
@@ Line 1,771: / Line 1,786: @@
 | ESRGAN
 | BC1 Compression
-| 2020.08.02
+| 2020-08-02
 | Attempts to remove the damages done by BC1 compression.
 | 1xESRGAN
@@ Line 1,783: / Line 1,798: @@
 | ESRGAN
 | BC1 Compression
-| 2021.03.18
+| 2021-03-18
 |
 | 1xESRGAN
@@ Line 1,826: / Line 1,841: @@
 | ESRGAN
 | Dithering
-| 2020.01.29
+| 2020-01-29
 | For photos/realistic images, but worth trying on other images that have reduced colors and dithering along with fine details. Trained using the ESRGAN-FS code (https://github.com/ManuelFritsche/real-world-sr/tree/master/esrgan-fs/codes) for better details compared to plain ESRGAN.
 | RRDB_ESRGAN_x4
@@ Line 1,839: / Line 1,854: @@
 | ESRGAN-FS
 | Dithering
-| 2020.04.21
+| 2020-04-21
 | Cartoons/pixel art/other non-realistic stuff with dithering
 | RRDB_ESRGAN_x4.pth
@@ Line 1,851: / Line 1,866: @@
 | ESRGAN-FS
 | Dithering
-| 2020.07.11
+| 2020-07-11
 | 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.
 | 4xESRGAN
@@ Line 1,863: / Line 1,878: @@
 | ESRGAN
 | Dithering
-| 2021.01.23
+| 2021-01-23
 | 1xESRGAN
 | https://imgsli.com/Mzg0MTk/1/2
@@ Line 1,874: / Line 1,889: @@
 | ESRGAN
 | Dithering
-| 2021.04.18
+| 2021-04-18
 | Attempts to remove the damages done by dithering. For this model, I downscaled all of the HR images to make their pixel size closer to 1000x1000 using the Box filter and then downscaled them again by 50% using the Point filter. Afterwards, I applied 32-bit Riemersma to every image in the dataset.
 | 1xESRGAN
@@ Line 1,903: / Line 1,918: @@
 | ESRGAN
 | Deblur
-| 2021.05.09
+| 2021-05-09
 | Sharpening, line darkening and slight line thinning, specifically made for the Boruto anime.
 |
@@ Line 1,927: / Line 1,942: @@
 | ESRGAN
 | Pixel Art
-| 2021.03.19
+| 2021-03-19
 | Restores blurry/upscaled pixel art.
 | 1xESRGAN
@@ Line 1,939: / Line 1,954: @@
 | ESRGAN
 | Pixel Art
-| 2021.08.05
+| 2021-08-05
 | Texture retaining denoiser and sharpener for digital artwork
 | 4xPSNR
@@ Line 1,951: / Line 1,966: @@
 | ESRGAN
 | Deblur
-| 2019.10.16
+| 2019-10-16
 | Dataset: Mix of anime, manga, and photos
 | 1x_DeJpeg_Fatality_01_175000_G.pth
@@ Line 1,966: / Line 1,981: @@
 | Dataset: Anime, manga, and photos
 | 1x_UnResize_MKII_030000_G.pth
+|
+|-
+| [https://mega.nz/folder/OVomUZyT#vDyNntGY1MirBEACNjpqVg 1x-Focus and 1x-Focus_Moderate]
+| |[[User:Kim2091|Kim2091]]
+| 1x
+| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
+| ESRGAN
+| Deblur
+|
+| These models deblur most images. It was trained mostly on aniso2 and iso blurring (BSRGAN augmentation) with some gaussian mixed in. It performs well on most blurry images, but I'd recommend using something like Fatality_Deblur for very strong gaussian blur. Dataset: The UniScale Dataset + My Fabric dataset
+| 1xESRGAN
+| [https://cdn.discordapp.com/attachments/893483065664483338/893483645803847690/unknown.png Sample 1] [https://cdn.discordapp.com/attachments/893483065664483338/893497416207188028/unknown.png Sample 2] [https://cdn.discordapp.com/attachments/893483065664483338/893483280895193118/unknown.png Sample 3] [https://cdn.discordapp.com/attachments/893483065664483338/893496207832408135/unknown.png Sample 4]
 |-
@@ Line 1,991: / Line 2,019: @@
 | ESRGAN
 | Banding
-| 2020.07.16
+| 2020-07-16
 | N64 textures use a color depth of 5-bits per channel, this model attempts to clean them, restoring smooth gradients in textures
 | 1x_BC1-smooth2.pth
@@ Line 2,004: / Line 2,032: @@
 | SPSR
 | Banding
-| 2020.07.21
+| 2020-07-21
 | mostly ends up dithering the image slightly but it has the potential to recover detail.
 | 1xBS_DebandizerSPSRV1
@@ Line 2,010: / Line 2,038: @@
 |-
-| [https://drive.google.com/drive/folders/1WD2RqtER_jk0QkPFUySeXhDV2aAO8_nr?usp=sharing 1x_Bandage-Smooth-[64]_105000_G]
+| [https://drive.google.com/drive/folders/1WD2RqtER_jk0QkPFUySeXhDV2aAO8_nr?usp=sharing 1x_Bandage-Smooth]
 | |[[User:Mutin_Choler|Mutin_Choler]]
 | 1x
@@ Line 2,016: / Line 2,044: @@
 | ESRGAN
 | Banding
-| 2021.04.16
+| 2021-04-16
 | Attempts to remove the damages done by color banding. For this model, I downscaled all of the HR images to make their pixel size closer to 1000x1000 using the Box filter and then downscaled them again by 50% using the Point filter. Afterwards, I applied 64-bit color banding to every image in the dataset.
 | 1xESRGAN
@@ Line 2,058: / Line 2,086: @@
 | ESRGAN
 | Halo remover
-| 2020.11.03
+| 2020-11-03
 |
 | 1xESRGAN
@@ Line 2,087: / Line 2,115: @@
 | ESRGAN
 | Denoise
-| 2019.11.13
+| 2019-11-13
 | Remove noise, grain, box blur, lens blur and gaussian blur and increase overall image quality.
 | RRDB_ESRGAN_x4.pth
 |
+|-
+| [https://drive.google.com/drive/u/1/folders/12j6BvuR7SU48ui9DHjBPB1vzPpQri9bD 1x_NoiseToner-Poisson-Detailed_108000_G]
+| |[[User:Mutin_Choler|Mutin_Choler]]
+| 1x
+| WTFPL
+| ESRGAN
+| Noise remover
+| 2021-10-08
+| Attempts to remove the damages done from noise. Successor of sorts to Noisetoner_Poisson_150000_G
+| 1xESRGAN
+| https://imgsli.com/NzQ5MzM/2/0
 |-
@@ Line 2,099: / Line 2,139: @@
 | ESRGAN
 | Noise remover
-| 2020.10.14
+| 2020-10-14
 |
 | 1xESRGAN
@@ Line 2,111: / Line 2,151: @@
 | ESRGAN
 | Noise remover
-| 2020.10.14
+| 2020-10-14
 |
 | 1xESRGAN
@@ Line 2,176: / Line 2,216: @@
 | ESRGAN
 | Denoise
-| 2019.06.03
+| 2019-06-03
 | Made for rare particular cases when the image was destroyed by applying noise, i.e. game textures or any badly exported photos. If your image does not have any oversharpening, it won't hurt them, leaving as is. In theory, this model knows when to activate and when to skip, also can successfully remove artifacts if only some parts of the image are oversharpened, for example in image consisting of several combined images, 1 of them with sharpen noise.
 | 1st attempt on random sharpening with the same dataset at 200000 iterations, which was trained on non-random desharp model, total ~600000 iterations on 3 models.
@@ Line 2,205: / Line 2,245: @@
 | ESRGAN
 | Detooning
-| 2019.06.24
+| 2019-06-24
 | A toon to realistic shading style model to wiki under drawings
 |
@@ Line 2,217: / Line 2,257: @@
 | ESRGAN
 | Detooning
-| 2020.07.31
+| 2020-07-31
 | An attempt to detoon images/drawings of people
 | 1xESRGAN
@@ Line 2,248: / Line 2,288: @@
 | ESRGAN
 | Colorization
-| 2020.01.30
+| 2020-01-30
 | Colorize Grayscale or Desaturated images. - This model is a partially failed attempt at restoring color from Grayscale | B/W | 100% Desaturated images. It mostly results in Blue and Yellow images with slight hints of Green, Orange and Magenta. You are free to use this as a pretrain to achieve better results.
 | 1xESRGAN
@@ Line 2,260: / Line 2,300: @@
 | ESRGAN (lite) [nf=32 nb=12]
 | Colorization
-| 2020.10.15
+| 2020-10-15
 | The first attempt at ESRGAN colorization that produces more than 2 colors. Doesn't work that great but it was a neat experiment.
 | none
@@ Line 2,273: / Line 2,313: @@
 | ESRGAN
 | Photos
-| 2019.08.29
+| 2019-08-29
 | Old black and white photo restoration.
 | Falcon Fanart
@@ Line 2,302: / Line 2,342: @@
 | ESRGAN
 | Stylization
-| 2020.10.17
+| 2020-10-17
 | Photo stylization from JPEGs. Trained on images upscaled by ISO Denoise v2 -> DeJPEG Fatality PlusULTRA -> NMKD Yan2. Essentially a combination of that model chain into one. Use if you're looking for a stylized output, not photo quality.
 | NMKD Yandere2
@@ Line 2,331: / Line 2,371: @@
 | ESRGAN
 | Text
-| 2020.03.04
+| 2020-03-04
 | As the name might suggest, this model aims to upscale text with less distortion that other models. It seems to do a good job generally, but don't expect it to be a state of the art model that can upscale magazines and stuff. It makes things more readable but since it was train on B/W pictures it desaturates them.
 | 2x_ESRGAN
@@ Line 2,343: / Line 2,383: @@
 | ESRGAN
 | Text
-| 2020.11.04
+| 2020-11-04
 | Low-resolution text/typography and symbols
 | 8xESRGAN
@@ Line 2,349: / Line 2,389: @@
 |}
-===Alphas===
+===Inpainting===
 {| class="wikitable sortable"
 |-
@@ Line 2,364: / Line 2,404: @@
 |-
-|[https://drive.google.com/open?id=192Mw2_yUwCgqt3tAJ2sRxZ8hYHe4CKrZ FireAlpha]
+| [https://e.pcloud.link/publink/show?code=kZQOu7ZldzmFyMPUcFNGkEvwqOxQ8Bl3CeX 1x_sudo_inpaint_PartialConv2D_424000_G.pth]
-| |[[User:BlueAmulet|BlueAmulet]]
+| sudo rm -rf / --no-preserve-root#8353
-| 4x
+| 1x
-|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
+| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 | ESRGAN
-| Alpha (4 channel)
+| Inpainting
-| 2019.11.12
+| 2020-12-05
-|
+| Experimental PartialConv2D attempt to paint with ESRGAN. Took ~10.4 days of training on a P100 and around 1.5 months in total due to Colab limits. Not sure if I will continue training it since training is very slow, but may get better.. Warning: Result can vary with different tilesizes. Try not to tile your data.
-| none
+| None
+| [https://e.pcloud.link/publink/show?code=kZQOu7ZldzmFyMPUcFNGkEvwqOxQ8Bl3CeX Samples]
+|-
+| [https://icedrive.net/1/43GNBihZyi 1x_NMKD-YandereInpaint_375000_G.pth]
+| [[User:nmkd|Nmkd]]
+| 1x
+| Unknown
+| ESRGAN
+| Inpainting
+| Unknown
 |
+| None
+| [https://icedrive.net/1/43GNBihZyi Samples]
 |-
-| [https://u.pcloud.link/publink/show?code=kZQfN4XZmIrkODabBWhtmmA95c0GMb19WUuy 4x_1ch-Alpha-Lite]
+|}
-| Joey
-| 4x
+===Fabric/Cloth===
-|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
+{| class="wikitable sortable"
-| ESRGAN
-| Alpha
-| 2020.12.15
-| Obsoleted by Joey's Fork - Alpha channels of PNGs
-| none
-|
 |-
+! Model Name
+! Author
+! Scale
+! License
+! Architecture
+! Purpose (short)
+! Date Posted
+! Purpose (Full)
+! Pretrained_Model_G
+! sample
-| [https://u.pcloud.link/publink/show?code=kZkR7hXZhfCA4WvVQvbxXkNN50tazuxj73uX 2x_Gen5-Alpha]
+|-
-| Joey
+| [https://mega.nz/folder/6EJjwADL#oDvv9p0z1t9nQvObbvBRBQ 4x-Fabric and Fabric-Alt]
-| 2x
+| |[[User:Kim2091|Kim2091]]
-|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
+| 4x
+| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 | ESRGAN
-| Pixel Art with Tranparency / Alpha Channel
+| Fabric
-| 2021.02.03
+| 2021-09-15
-|
+| 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.
-| 4xFireAlpha
+| 4xESRGAN
-|
+| [https://cdn.discordapp.com/attachments/887850596214902835/887852703873638410/unknown.png Sample 1] [https://cdn.discordapp.com/attachments/887850596214902835/887852170156847124/unknown.png Sample 2] [https://cdn.discordapp.com/attachments/887850596214902835/887856392269094952/unknown.png Sample 3] [https://cdn.discordapp.com/attachments/887850596214902835/887853344545194084/unknown.png Sample 4]
-|-
-| 8x_Sphax-Alpha-NN
+|}
-| Joey
-| 8x
-|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
-| ESRGAN
-| Pixel Art with Tranparency / Alpha Channel
-| 2021.02.04
-| Replica of sphax with transparency
-| 4xFireAlpha
-|
-|-
-| [https://u.pcloud.link/publink/show?code=kZrIFhXZxnpi72FuwgLz7FIDw8kdrp2suIEk 4x_PocketMonsters-Alpha]
-| Joey
-| 4x
-|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
-| ESRGAN
-| Pixel Art with Tranparency / Alpha Channel
-| 2021.02.04
-| upscaling pixel art with alpha channels that should perform better than any other. It should work well on both cartoon and 3D styled content.
-| 4xFireAlpha
-|
-|-
-| [https://drive.google.com/file/d/1trYs4AuC9s2JWAbryHdNyy5cgYV-V8cH/view Skyrim Alpha]
+===Alphas===
-| Deorder
-| 4x
-|[https://creativecommons.org/publicdomain/zero/1.0/ CC0]
-| ESRGAN
-| Pixel Art with Tranparency / Alpha Channel
-|
-| Dataset: Alpha Channels from Skyrim
-| Unknown
-|
-|-
-|}
-===CGI===
 {| class="wikitable sortable"
 |-
@@ Line 2,450: / Line 2,472: @@
 ! Pretrained_Model_G
 ! sample
 |-
-| [https://1drv.ms/u/s!Aip-EMByJHY20lUFCoOjzd5qxjUm unholy02.pth (link broken)]
+|[https://drive.google.com/open?id=192Mw2_yUwCgqt3tAJ2sRxZ8hYHe4CKrZ FireAlpha]
-| |[[User:DinJerr|DinJerr]]
+| |[[User:BlueAmulet|BlueAmulet]]
 | 4x
 |[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
 | ESRGAN
-| CGI
+| Alpha (4 channel)
-| 2019.07.04
+| 2019-11-12
-| Upscaling CG-painted anime images with light outlines. - Sharper, cleaner and more aggressive than manga109.
-| Created by interpolating a whole bunch of models about 30 times, mainly with my own WaifuGAN model and RRDB_esrgan.(edited)
 |
-|-
+| none
-| [https://1drv.ms/u/s!Aip-EMByJHY20wu_BcSsqOLKtthb unholy03.pth (link broken)]
-| |[[User:DinJerr|DinJerr]]
-| 4x
-|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
-| ESRGAN
-| CGI
-| 2019.07.04
-| Upscaling CG-painted anime images with light outlines. - Sharper, cleaner and more aggressive than manga109.
-| Created by interpolating a whole bunch of models about 30 times, mainly with my own WaifuGAN model and RRDB_esrgan.(edited)
 |
 |-
-| [https://1drv.ms/u/s!Aip-EMByJHY20wpGoLuSRzjdqh0T WaifuGAN_v3_30000]
+| [https://u.pcloud.link/publink/show?code=kZQfN4XZmIrkODabBWhtmmA95c0GMb19WUuy 4x_1ch-Alpha-Lite]
-| DinnJerr
+| Joey
 | 4x
-|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
+|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 | ESRGAN
-| CGI
+| Alpha
-| 2019.07.12
+| 2020-12-15
-| Upscaling CG-painted anime with variable outlines.
+| Obsoleted by Joey's Fork - Alpha channels of PNGs
-| Manga109v2.pth
+| none
 |
 |-
-|-
+| [https://u.pcloud.link/publink/show?code=kZkR7hXZhfCA4WvVQvbxXkNN50tazuxj73uX 2x_Gen5-Alpha]
-| [https://drive.google.com/file/d/1zlc8BWOcpCbSZpwf7ArMCqpb0Tf9DlZk/view?usp=drivesdk 2xBS_Wolly]
+| Joey
-| |[[User:BlackScout|BlackScout]]
 | 2x
-| [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]
+|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 | ESRGAN
-| CGI Animation
+| Pixel Art with Tranparency / Alpha Channel
-| 2020.02.07
+| 2021-02-03
-| Pixar Movies or Wall-E pictures/frames
+|
-| 2xESRGAN
+| 4xFireAlpha
 |
 |-
-| [https://drive.google.com/file/d/1kNSz5f2_krdlsJ700DwH78OEPYkkcjW5/view?usp=sharing 4xSGI]
+| [https://u.pcloud.link/publink/show?code=kZeNFhXZbuw2jGJOGqQnKecb8Moo1ha47W57 8x_Sphax-Alpha-NN]
-| ChrisNonyminus
+| Joey
-| 4x
+| 8x
-| GNU GPL3
+|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 | ESRGAN
-| CGI
+| Pixel Art with Tranparency / Alpha Channel
-| 2020.12.17
+| 2021-02-04
-| Upscaling and dedithering pre-rendered sprites, images and textures made in the 90s. Basically vintage CGI.
+| Replica of sphax with transparency
-| 4xESRGAN
+| 4xFireAlpha
-| https://imgur.com/a/iwLTjeB
+|
 |-
-| [https://lbry.tv/@Madiator2011:e/x2_CGIMaster_v1:6 CGIMaster_v1]
+| [https://u.pcloud.link/publink/show?code=kZrIFhXZxnpi72FuwgLz7FIDw8kdrp2suIEk 4x_PocketMonsters-Alpha]
-| Madiator
+| Joey
-| 2x
+| 4x
-| GNU GPL3
+|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 | ESRGAN
-| CGI Animation
+| Pixel Art with Tranparency / Alpha Channel
-| 2021.01.14
+| 2021-02-04
-| mixed 3D/2D CGI animations on some 2D animations it might sharpen the edges. General usage is to upscale CGI animations compressed by YouTube.
+| upscaling pixel art with alpha channels that should perform better than any other. It should work well on both cartoon and 3D styled content.
-| Sharp_Anime_v2
+| 4xFireAlpha
-| https://imgsli.com/Mzc1NTM
+|
 |-
-|}
-===Luminance/Chroma===
+| [https://drive.google.com/file/d/1trYs4AuC9s2JWAbryHdNyy5cgYV-V8cH/view Skyrim Alpha]
-{| class="wikitable sortable"
+| Deorder
-|-
+| 4x
-! Model Name
+|[https://creativecommons.org/publicdomain/zero/1.0/ CC0]
-! Author
-! Scale
-! License
-! Architecture
-! Purpose (short)
-! Date Posted
-! Purpose (Full)
-! Pretrained_Model_G
-! sample
-|-
-| [https://drive.google.com/file/d/1FDb9H6GOmE3aRvZbx_-kTiCLS77WyjgL/view 1x_BSLuma]
-| |[[User:BlackScout|BlackScout]]
-| 1x
-| [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]
 | ESRGAN
-| Luma
+| Pixel Art with Tranparency / Alpha Channel
-| 2020.02.28
-| Fix Luminance issues?? LumaSharpen ESRGAN Edition? - This model mostly does what "Lumasharpen" algorithms do. It may help fixing images with Luminance images issues? Like old DVD rips? I am not sure, didn't test.
-| none
 |
-|-
+| Dataset: Alpha Channels from Skyrim
+| Unknown
-| [https://drive.google.com/file/d/12v_2OwrB_rr6_0tMshHaHgD_XWRNgIyF/view 1x_BSChroma]
-| |[[User:BlackScout|BlackScout]]
-| 1x
-| [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]
-| ESRGAN
-| Sharpen
-| 2020.02.29
-| ChromaSharpen - makes the colors slightly more vibrant with a sideeffect of possibly adding Chromatic Abberation to the image. I am not sure about the usage of this model on real case scenarios but anything blurry or with fuzzy colors could work
-| none
 |
 |-
 |}
-===Cats===
+===CGI===
 {| class="wikitable sortable"
 |-
@@ Line 2,581: / Line 2,560: @@
 ! Pretrained_Model_G
 ! sample
+|-
-|-
+| [https://1drv.ms/u/s!Aip-EMByJHY20wpGoLuSRzjdqh0T WaifuGAN_v3_30000]
-| |[https://f002.backblazeb2.com/file/ESRGAN/_RELEASE/4x_cat_patch_325000_G.pth Cat_Patch]
+| DinnJerr
-| |[[User:Twittman|Twittman]]
 | 4x
-|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0] (?)
+|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
 | ESRGAN
-| Cats
+| CGI
-| not on discord
+| 2019-07-12
-|
+| Upscaling CG-painted anime with variable outlines.
-| previous attempt
+| Manga109v2.pth
 |
 |-
-|}
-===Coins===
-{| class="wikitable sortable"
-|-
-! Model Name
-! Author
-! Scale
-! License
-! Architecture
-! Purpose (short)
-! Date Posted
-! Purpose (Full)
-! Pretrained_Model_G
-! sample
-|-
+| [https://drive.google.com/file/d/1zlc8BWOcpCbSZpwf7ArMCqpb0Tf9DlZk/view?usp=drivesdk 2xBS_Wolly]
-| [https://drive.google.com/file/d/1zC97RLUg5ejqb5-4Dj5q-SzdLPLiMozH/view 4x_Nickelfront]
+| |[[User:BlackScout|BlackScout]]
-| BlackScout
+| 2x
-| 4x
+| [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]
-| GNU GPLv3
 | ESRGAN
-| Coins
+| CGI Animation
-| 2020.02.13
+| 2020-02-07
-| 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.
+| Pixar Movies or Wall-E pictures/frames
-| 4xESRGAN
+| 2xESRGAN
 |
+|-
+| [https://drive.google.com/file/d/1kNSz5f2_krdlsJ700DwH78OEPYkkcjW5/view?usp=sharing 4xSGI]
+| ChrisNonyminus
+| 4x
+| GNU GPL3
+| ESRGAN
+| CGI
+| 2020-12-17
+| Upscaling and dedithering pre-rendered sprites, images and textures made in the 90s. Basically vintage CGI.
+| 4xESRGAN
+| https://imgur.com/a/iwLTjeB
+|-
+| [https://lbry.tv/@Madiator2011:e/x2_CGIMaster_v1:6 CGIMaster_v1]
+| Madiator
+| 2x
+| GNU GPL3
+| ESRGAN
+| CGI Animation
+| 2021-01-14
+| mixed 3D/2D CGI animations on some 2D animations it might sharpen the edges. General usage is to upscale CGI animations compressed by YouTube.
+| Sharp_Anime_v2
+| https://imgsli.com/Mzc1NTM
 |-
 |}
-===Faces===
+===Luminance/Chroma===
 {| class="wikitable sortable"
 |-
@@ Line 2,637: / Line 2,625: @@
 ! Pretrained_Model_G
 ! sample
 |-
-| [https://de-next.owncube.com/index.php/s/PF5GTJ9jix4Log8 4x_Faces_N_250000.pth]
+| [https://drive.google.com/file/d/1FDb9H6GOmE3aRvZbx_-kTiCLS77WyjgL/view 1x_BSLuma]
-| |[[User:Twittman|Twittman]]
+| |[[User:BlackScout|BlackScout]]
-| 4x
+| 1x
-|
+| [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]
 | ESRGAN
-| Faces
+| Luma
-| 2019.07.18
+| 2020-02-28
-| Upscales images of faces of different scales, sometimes resulting in monsters.
+| Fix Luminance issues?? LumaSharpen ESRGAN Edition? - This model mostly does what "Lumasharpen" algorithms do. It may help fixing images with Luminance images issues? Like old DVD rips? I am not sure, didn't test.
-| 4xESRGAN
+| none
 |
 |-
-|-
+| [https://drive.google.com/file/d/12v_2OwrB_rr6_0tMshHaHgD_XWRNgIyF/view 1x_BSChroma]
-| [https://de-next.owncube.com/index.php/s/PF5GTJ9jix4Log8 4x_Faces_04_N_180000_G]
+| |[[User:BlackScout|BlackScout]]
-| |[[User:Twittman|Twittman]]
+| 1x
-| 4x
+| [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]
-|
 | ESRGAN
-| Faces
+| Sharpen
-| 2019.07.23
+| 2020-02-29
-| Upscale faces both pixelized and real
+| ChromaSharpen - makes the colors slightly more vibrant with a sideeffect of possibly adding Chromatic Abberation to the image. I am not sure about the usage of this model on real case scenarios but anything blurry or with fuzzy colors could work
-| 4x_Faces_N_250000.pth
+| none
 |
 |-
+|}
+===Cats===
+{| class="wikitable sortable"
 |-
-| [https://de-next.owncube.com/index.php/s/mZRG4HB3KdP2iP6 Face-Ality V1 (4x_Fatality_Faces_310000_G.pth)]
+! Model Name
+! Author
+! Scale
+! License
+! Architecture
+! Purpose (short)
+! Date Posted
+! Purpose (Full)
+! Pretrained_Model_G
+! sample
+|-
+| |[https://f002.backblazeb2.com/file/ESRGAN/_RELEASE/4x_cat_patch_325000_G.pth Cat_Patch]
 | |[[User:Twittman|Twittman]]
 | 4x
-| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0] (?)
+|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0] (?)
 | ESRGAN
-| Faces
+| Cats
+| not on discord
 |
-| Dataset: Custom (Faces)
+| previous attempt
-| 4x_Faces_04_N_180000_G.pth
 |
 |-
+|}
+===Coins===
+{| class="wikitable sortable"
 |-
-| [https://drive.google.com/open?id=1OyOJIW224hBhb-aTCbuUQb0qzKmE4oH6 TGHQFace8x]
+! Model Name
-| tg
+! Author
-| 8x
+! Scale
-| GNU GPL3
+! License
-| ESRGAN
+! Architecture
-| Faces
+! Purpose (short)
-| 2019.11.27
+! Date Posted
-| Upscales blurry 128px faces, usefull for enhancing that someone in a small picture.
+! Purpose (Full)
-| 8xESRGAN
+! Pretrained_Model_G
-| https://imgsli.com/OTM1NQ
+! sample
 |-
+| [https://drive.google.com/file/d/1zC97RLUg5ejqb5-4Dj5q-SzdLPLiMozH/view 4x_Nickelfront]
-| [https://onedrive.live.com/?authkey=%21AP69c97OwKxR3lM&id=36762472C0107E2A%2110699&cid=36762472C0107E2A FArtFace]
+| BlackScout
-| |[[User:DinJerr|DinJerr]]
 | 4x
-|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
+| GNU GPLv3
 | ESRGAN
-| Faces
+| Coins
-| 2019.11.28
+| 2020-02-13
-|
+| 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.
-|
+| 4xESRGAN
 |
 |-
+|}
-| [https://drive.google.com/file/d/14daAyYuoX-nZ_Lo1U6oekbFqrZTQlQkG/view?usp=drivesdk 4x_BS_SbeveHarvey]
+===Faces===
-| |[[User:BlackScout|BlackScout]]
+{| class="wikitable sortable"
+|-
+! Model Name
+! Author
+! Scale
+! License
+! Architecture
+! Purpose (short)
+! Date Posted
+! Purpose (Full)
+! Pretrained_Model_G
+! sample
+|-
+| [https://de-next.owncube.com/index.php/s/PF5GTJ9jix4Log8 4x_Faces_N_250000.pth]
+| |[[User:Twittman|Twittman]]
 | 4x
-| [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]
+|
 | ESRGAN
 | Faces
-| 2020.07.24
+| 2019-07-18
-| Upscale Steve Harvey, but maybe other things, somehow??
+| Upscales images of faces of different scales, sometimes resulting in monsters.
 | 4xESRGAN
 |
@@ Line 2,715: / Line 2,737: @@
 |-
-| [https://drive.google.com/file/d/19ICMKNuS4PbhmtA7Be9lUE6v8NHDDEzP/view Face Focus]
+| [https://de-next.owncube.com/index.php/s/PF5GTJ9jix4Log8 4x_Faces_04_N_180000_G]
-| |[[User:LyonHrt|LyonHrt]]
+| |[[User:Twittman|Twittman]]
 | 4x
-|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
+|
 | ESRGAN
 | Faces
-| not on discord
+| 2019-07-23
-| Face De-blur - slightly out of focus / blurred images of faces. It is aimed at faces / hair
+| Upscale faces both pixelized and real
-| 4xPSNR
+| 4x_Faces_N_250000.pth
 |
 |-
 |-
-| [https://drive.google.com/file/d/1OyOJIW224hBhb-aTCbuUQb0qzKmE4oH6/view TGHQFace8x]
+| [https://de-next.owncube.com/index.php/s/mZRG4HB3KdP2iP6 Face-Ality V1 (4x_Fatality_Faces_310000_G.pth)]
-| |[[User:Torrentguy|Torrentguy]]
+| |[[User:Twittman|Twittman]]
-| 8x
+| 4x
-| [https://www.gnu.org/licenses/gpl-3.0.en.html [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]]
+| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0] (?)
 | ESRGAN
-| Face Upscaling
+| Faces
 |
+| Dataset: Custom (Faces)
+| 4x_Faces_04_N_180000_G.pth
 |
+|-
+|-
+| [https://drive.google.com/open?id=1OyOJIW224hBhb-aTCbuUQb0qzKmE4oH6 TGHQFace8x]
+| tg
+| 8x
+| GNU GPL3
+| ESRGAN
+| Faces
+| 2019-11-27
+| Upscales blurry 128px faces, usefull for enhancing that someone in a small picture.
 | 8xESRGAN
+| https://imgsli.com/OTM1NQ
+|-
+| [https://onedrive.live.com/?authkey=%21AP69c97OwKxR3lM&id=36762472C0107E2A%2110699&cid=36762472C0107E2A FArtFace]
+| |[[User:DinJerr|DinJerr]]
+| 4x
+|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
+| ESRGAN
+| Faces
+| 2019-11-28
+|
+|
 |
 |-
-|}
-===Foliage/Ground===
+| [https://drive.google.com/file/d/14daAyYuoX-nZ_Lo1U6oekbFqrZTQlQkG/view?usp=drivesdk 4x_BS_SbeveHarvey]
-{| class="wikitable sortable"
+| |[[User:BlackScout|BlackScout]]
+| 4x
+| [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]
+| ESRGAN
+| Faces
+| 2020-07-24
+| Upscale Steve Harvey, but maybe other things, somehow??
+| 4xESRGAN
+|
+|-
+|-
+| [https://drive.google.com/file/d/19ICMKNuS4PbhmtA7Be9lUE6v8NHDDEzP/view Face Focus]
+| |[[User:LyonHrt|LyonHrt]]
+| 4x
+|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
+| ESRGAN
+| Faces
+| not on discord
+| Face De-blur - slightly out of focus / blurred images of faces. It is aimed at faces / hair
+| 4xPSNR
+|
+|-
+|-
+| [https://drive.google.com/file/d/1OyOJIW224hBhb-aTCbuUQb0qzKmE4oH6/view TGHQFace8x]
+| |[[User:Torrentguy|Torrentguy]]
+| 8x
+| [https://www.gnu.org/licenses/gpl-3.0.en.html [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]]
+| ESRGAN
+| Face Upscaling
+|
+|
+| 8xESRGAN
+|
+|-
+|}
+===Foliage/Ground===
+{| class="wikitable sortable"
 |-
 ! Model Name
@@ Line 2,762: / Line 2,847: @@
 | ESRGAN
 | bad upscale
-| 2021.06.23
+| 2021-06-23
 | Images of plants, trees or other foliage upscaled with Photoshop Preserve Details 2.0. Sharpens and "subdivides" details and noise so it doesn't look upscaled.
 | 1x_NMKD-h264Texturize_500k.pth
+| https://imgsli.com/NTg2MDk https://imgsli.com/NTg2MDg https://imgsli.com/NTg2MTA
+|-
+| [https://drive.google.com/file/d/1dGmhHUPmb3lO9buX_Bt2nq97Nk5MCTb4/view Ground]
+| ZaphodBreeblebox
+| 4x
+|
+| ESRGAN
+| Upscales ground textures
+| 2021-06-23
+| Dataset: 	Custom (Ground textures Google)
+|
 |
-| https://imgsli.com/NTg2MDk https://imgsli.com/NTg2MDg https://imgsli.com/NTg2MTA
 |-
 |}
@@ Line 2,792: / Line 2,888: @@
 | ESRGAN
 | Upscaling pack.png
-| 2020.01.26
+| 2020-01-26
 | Upscales Minecraft screenshots by 4x. May suffer from haloing, weird patterns on blocks and JPEG-like artifacts.
 | 4xESRGAN.pth
@@ Line 2,806: / Line 2,902: @@
 | ESRGAN
 | Upscaling pack.png
-| 2020.09.05
+| 2020-09-05
 | Designed to upscale one specific minecraft screenshot. Results on dissimilar screenshots may be poor.
 | 4xESRGAN/previous versions
@@ Line 2,819: / Line 2,915: @@
 | ESRGAN
 | Upscaling pack.png
-| 2020.01.29
+| 2020-01-29
 | Designed to upscale one specific minecraft screenshot. Results on dissimilar screenshots may be poor.
 | RRDB_PNSR_x4.pth
@@ Line 2,832: / Line 2,928: @@
 | ESRGAN
 | CGI
-| 2020.01.29
+| 2020-01-29
 | Game Screenshots
 | none
@@ Line 2,845: / Line 2,941: @@
 | SPSR
 | CGI
-| 2020.07.18
+| 2020-07-18
 | This model is designed to upscale game screenshots (3D Games) by 4 times. The SPSR version is an improvement over the ESRGAN based V2.
 | Screenbooster V2
@@ Line 2,852: / Line 2,948: @@
 |}
-====Normal Maps/Bump Maps====
+====Normal Map/Bump Map Generation====
 {| class="wikitable sortable"
 |-
@@ Line 2,873: / Line 2,969: @@
 | ESRGAN Lite [nf=32 nb=12]
 | Map Generation - normal maps
-| 2020.11.04
+| 2020-11-04
 | Generating normal maps from textures
 | 1x_DIV2K-Lite_450k.pth
 |
-|
 |-
@@ Line 2,886: / Line 2,981: @@
 | ESRGAN Lite [nf=32 nb=12]
 | Map Generation - roughness and displacement maps
-| 2020.11.07
+| 2020-11-07
 | This model generates "Franken Maps" (named after Frankenstein), which is a custom material map combination I made. Basically, the Red channel of RGB is just the texture converted to grayscale, the Green channel is the roughness map, and the Blue channel is the displacement map. I had to do this to get around the current limitation of CX loss where it requires a 3 channel output (otherwise I would have just made a 2 channel model, or separate single channel models). As of right now the channels need to be manually split from each other but I will be making a tool for doing this automatically in the coming days.
 | 1x_DIV2K-Lite_450k.pth
-|
 |
 |-
@@ Line 2,902: / Line 2,996: @@
 | This model generates "Franken Maps" (named after Frankenstein), which is a custom material map combination I made. Basically, the Red channel of RGB is just the texture converted to grayscale, the Green channel is the roughness map, and the Blue channel is the displacement map. I had to do this to get around the current limitation of CX loss where it requires a 3 channel output (otherwise I would have just made a 2 channel model, or separate single channel models). As of right now the channels need to be manually split from each other but I will be making a tool for doing this automatically in the coming days.
 | none (no interpolation)
-|
 |
 |-
@@ Line 2,930: / Line 3,023: @@
 | ESRGAN
 | Game textures
-| 2019.08.05
+| 2019-08-05
 | Video game textures, mostly metal rusty, clean or painted
 | Manga109Attempt
 |
 |-
 | [https://1drv.ms/u/s!AiWox1lAWLoThANuXjxIR-hqA6os Fallout Weapons V2]
 | Bob
@@ Line 2,941: / Line 3,035: @@
 | ESRGAN
 | Game textures
-| 2019.08.23
+| 2019-08-23
 | Video game textures, mostly metal rusty, clean or painted
 | Fallout 4 Weapons
@@ Line 2,947: / Line 3,041: @@
 |-
-|-
 | [https://drive.google.com/file/d/1y9nYjuy8vG7_LHpveYTj0ihK_6fE2XKF/view?usp=sharing 4x_ThiefGoldMod_100000]
 | Akven
@@ Line 2,954: / Line 3,048: @@
 | ESRGAN
 | Game textures
-| 2020.05.15
+| 2020-05-15
 | Version of the previous model but based on Manga109 pretrained model and with slightly different dataset. Sometimes gives better results especially for wood and metal, sometimes worse. Sometime generates the same dotted artifacts on very bright/white images.
 | 4x_Manga109Attempt
@@ Line 2,960: / Line 3,054: @@
 |-
-|-
 | [https://drive.google.com/file/d/1L8reADxi5Nt-8Tki0oY5jkQlv6kJg6w4/view?usp=sharing 4x_ThiefGold_110000]
 | Akven
@@ Line 2,967: / Line 3,061: @@
 | ESRGAN
 | Game textures
-| 2020.05.15
+| 2020-05-15
 | Various game textures. Primary wood, metal, stone
 | RRDB_ESRGAN_x4
@@ Line 2,973: / Line 3,067: @@
 |-
+| [https://mega.nz/folder/HNh0hLzD#vUuFhp2ZAeNi_5shZfCC0g 4x-VolArt]
+| |[[User:Kim2091|Kim2091]]
+| 4x
+| CC BY-NC-SA 4.0
+| ESRGAN
+| Game textures/Art
+| 2021-09-18
+| This model upscales artwork for the game Volfoss (2001). The model peaked in quality very quickly. The NR model removes most noise, but has the downside of removing transparent portions. Use the main model in most cases.
+| 4xESRGAN
+| [https://cdn.discordapp.com/attachments/888869052867543060/888869070928248852/unknown.png Sample 1] [https://cdn.discordapp.com/attachments/888869052867543060/888869784169619496/unknown.png Sample 2]
 |-
 | [https://drive.google.com/file/d/1Ful_AALrK-gxSwsTeMkzvwX5hh1ah8X8/view?usp=sharing 2xFaithfulSPSR]
 | Joey
@@ Line 2,980: / Line 3,086: @@
 | SPSR
 | Pixel art
-| 2020.07.19
+| 2020-07-19
 | Mainly just a test for SPSR. Seems to work better than the original 2xFaithful32_1316 that I used as a pretrained, even though it uses the same dataset.
 | 2xFaithful32_1316
@@ Line 2,992: / Line 3,098: @@
 | ESRGAN (lite)
 | Pixel Art
-| 2020.10.12
+| 2020-10-12
 | An attempt at recreating the "faithful" style without using the faithful dataset -- aka keeping the "pixel art" style of pixel art.
 | 2x_Faithful-Lite
@@ Line 3,004: / Line 3,110: @@
 | ESRGAN (lite)
 | Pixel Art
-| 2020.10.12
+| 2020-10-12
 | A "lite" model version of my Faithful model
 | none
@@ Line 3,016: / Line 3,122: @@
 | ESRGAN
 | DTX5 Compression
-| 2021.04.10
+| 2021-04-10
 | This model is made for Source Engine textures. It tries to remove compression artifacts such as blockyness, discoloration, green tint. It does pretty well on a lot of things, realistic stuff as well, but it was mostly made to work on TF2 textures. It's made to keep as much detail as possible, without any unnecessary denoising/sharpening. Huge thanks to Twittman for assisting me along this journey.
 | 1x_Saiyajin_DeJpeg_300000_G
@@ Line 3,046: / Line 3,152: @@
 |-
-|-
 | [https://drive.google.com/file/d/1RjVWNUFtVyz4ykqu6Pm9wmO03pPEBGqg/view Skyrim Misc]
 | Deorder
@@ Line 3,069: / Line 3,175: @@
 | ?
 |
+|-
+|-
+| [https://mega.nz/folder/fcp2SLKC#tF3vG7zjvfpnXK7OLUaFRA 4x-SkyrimTexV2.1 and V2_Fabric]
+| [[User:Kim2091|Kim2091]]
+| 4x
+| CC BY-NC-SA 4.0
+| ESRGAN
+| Game textures
+| 2021-09-25
+| This model set upscales most Skyrim textures. I hope it helps 🙂 The base model (2.1) works well on stone, wood, metals, and most other textures. The Fabric model is a 50/50 interpolation with a stronger iteration of this model and my Fabric model. As you can tell by the name, it's intended for Fabric textures. If you want to upscale Alpha textures, use a model dedicated to it. There's an INFO file in the folder, it just explains the extra models
+| 4xESRGAN
+| [https://cdn.discordapp.com/attachments/891300021453070387/891392169926098974/unknown.png Sample 1] [https://cdn.discordapp.com/attachments/891393393849147423/891397870266224731/unknown.png Sample 2] [https://cdn.discordapp.com/attachments/891300021453070387/891395469387890738/unknown.png Sample 3] [https://cdn.discordapp.com/attachments/891393393849147423/891398051325960202/unknown.png Sample 4]
 |-
@@ Line 3,106: / Line 3,225: @@
 |
 |-
 |}
@@ Line 3,132: / Line 3,253: @@
 | ESRGAN
 | Compression
-| 2019.07.03
+| 2019-07-03
 | Removal of Compression such as Cinepak, msvideo1 and Roq
 | none
@@ Line 3,155: / Line 3,276: @@
 | |[[User:Kim2091|Kim2091]]
 | 1x
-|WTFPL
+| CC BY-NC-SA 4.0
 | ESRGAN
 | Compression
@@ Line 3,170: / Line 3,291: @@
 | ESRGAN
 | Texturizing
-| 2020.10.20
+| 2020-10-20
 | Tries to reverse heavy h264 compression. Fails. Can be used to texturize images though.
 | 4x ESRGAN
@@ Line 3,183: / Line 3,304: @@
 | ESRGAN
 | artifact
-| 2021.07.19
+| 2021-07-19
 | This model attempts to make films upscaled to 4K with Topaz Gaia-HQ look more natural and filmic. It sharpens, adds film grain, and smooths out small artefacts from the upscaling process. I recommend adding a tiny amount of grain to the input to seed the model (you can do this in VEAI), otherwise the film grain will remain static across frames that don't move much. Pretrain model used with permission to relicense from Twittman.
 | 1x_UnResize_V3_110000_G.pth
 | https://imgsli.com/NjE5MTE https://imgsli.com/NjE5MTI https://imgsli.com/NjE5MTM https://imgsli.com/NjE5MTQ
-|-
-| [https://www108.zippyshare.com/v/PYWFtETd/file.html 2x_ATLA_KORRA_336200_G.pth]
-| aptitude
-| 2x
-|
-| ESRGAN
-| Animation
-| 2021.07.22
-| Upscaling of Animation based on The Legend of Korra.
-| 2xESRGAN.pth
-| https://imgsli.com/NjIzMzU https://imgsli.com/NjIzMTY https://imgsli.com/NjIzMTc https://imgsli.com/NjIzMTg https://imgsli.com/NjIzMTk https://imgsli.com/NjIzMjA https://imgsli.com/NjIzMjE https://imgsli.com/NjIzMjQ https://imgsli.com/NjIzMjc https://imgsli.com/NjIzMjY https://imgsli.com/NjIzMjU
 |-
@@ Line 3,237: / Line 3,346: @@
 | ESRGAN
 | VHS
-| 2021.03.03
+| 2021-03-03
 | Fixing minor VHS Chroma and Pattern Noise - NOTE: only works on deinterlaced sources
 | 1xESRGAN
@@ Line 3,249: / Line 3,358: @@
 | ESRGAN
 | VHS
-| 2021.03.28
+| 2021-03-28
 | VHS captures of Film material, but may work on VHS recorded native SD-TV material as well. Also useable for cleaned up source material
 | none
@@ Line 3,261: / Line 3,370: @@
 | ESRGAN
 | VHS
-| 2021.03.19
+| 2021-03-19
 | Make old VHS footage crispy. This model will not work on video and images with noticeable JPEG/Video compression artifacts, noticeable interlacing or haloing, heavy tape distortion/artifacts and scenes with tons of detail. For best results, use a downscaled HD capture of the VHS tape you intend to use it on.
 | 1xESRGAN
@@ Line 3,290: / Line 3,399: @@
 | ESRGAN
 | Pretrained
-| 2019.07.06
+| 2019-07-06
 |
 | RRDB_ESRGAN_x4.pth
@@ Line 3,303: / Line 3,412: @@
 | ESRGAN
 | Pretrained
-| 2019.07.06
+| 2019-07-06
 |
 | RRDB_ESRGAN_x4.pth
@@ Line 3,315: / Line 3,424: @@
 | ESRGAN
 | Pretrained
-| 2019.07.06
+| 2019-07-06
 |
 | RRDB_ESRGAN_x4.pth
@@ Line 3,328: / Line 3,437: @@
 | ESRGAN
 | Pretrained
-| 2019.07.06
+| 2019-07-06
 |
 | RRDB_ESRGAN_x4.pth
@@ Line 3,341: / Line 3,450: @@
 | ESRGAN
 | Pretrained
-| 2019.07.06
+| 2019-07-06
 |
 | RRDB_ESRGAN_x4.pth
@@ Line 3,354: / Line 3,463: @@
 | ESRGAN
 | Pretrained
-| 2020.04.20
+| 2020-04-20
 | The original RRDB_PSNR_x4.pth model converted to 1x, 2x, 8x and 16x scales, intended to be used as pretrained models for new models at those scales. These are compatible with victor's 4xESRGAN.pth conversions
 | RRDB_PSNR_x4.pth
@@ Line 3,367: / Line 3,476: @@
 | ESRGAN
 | Pretrained
-| 2020.04.20
+| 2020-04-20
 | The original RRDB_PSNR_x4.pth model converted to 1x, 2x, 8x and 16x scales, intended to be used as pretrained models for new models at those scales. These are compatible with victor's 4xESRGAN.pth conversions
 | RRDB_PSNR_x4.pth
@@ Line 3,380: / Line 3,489: @@
 | ESRGAN
 | Pretrained
-| 2020.04.20
+| 2020-04-20
 | The original RRDB_PSNR_x4.pth model converted to 1x, 2x, 8x and 16x scales, intended to be used as pretrained models for new models at those scales. These are compatible with victor's 4xESRGAN.pth conversions
 | RRDB_PSNR_x4.pth
@@ Line 3,393: / Line 3,502: @@
 | ESRGAN
 | Pretrained
-| 2020.04.20
+| 2020-04-20
 | The original RRDB_PSNR_x4.pth model converted to 1x, 2x, 8x and 16x scales, intended to be used as pretrained models for new models at those scales. These are compatible with victor's 4xESRGAN.pth conversions
 | RRDB_PSNR_x4.pth
@@ Line 3,406: / Line 3,515: @@
 | ESRGAN
 | Pretrained
-| 2020.04.20
+| 2020-04-20
 | The original RRDB_PSNR_x4.pth model converted to 1x, 2x, 8x and 16x scales, intended to be used as pretrained models for new models at those scales. These are compatible with victor's 4xESRGAN.pth conversions
 | RRDB_PSNR_x4.pth
@@ Line 3,434: / Line 3,543: @@
 | VGG
 | Pretrained discriminators
-| 2020.10.26
+| 2020-10-26
 | Most of these are my spongebob dataset so they will be more useful for cartoons but I did include my original faithful model discriminator.
 | none
@@ Line 3,447: / Line 3,556: @@
 | VGG
 | Pretrained discriminators
-| 2020.10.26
+| 2020-10-26
 | Most of these are my spongebob dataset so they will be more useful for cartoons but I did include my original faithful model discriminator.
 | none
@@ Line 3,460: / Line 3,569: @@
 | VGG
 | Pretrained discriminators
-| 2020.10.26
+| 2020-10-26
 | Most of these are my spongebob dataset so they will be more useful for cartoons but I did include my original faithful model discriminator.
 | none
@@ Line 3,471: / Line 3,580: @@
 | VGG
 | Pretrained discriminators
-| 2020.10.26
+| 2020-10-26
 | Most of these are my spongebob dataset so they will be more useful for cartoons but I did include my original faithful model discriminator.
 | none
@@ Line 3,483: / Line 3,592: @@
 | ESRGAN (G) / ResNet (D)
 | Pretrained
-| 2021.01.17
+| 2021-01-17
 | Clean bicubic downscales / Pretrained models (G/D)
 | RRDB_ESRGAN_x4_old_arch.pth
@@ Line 3,513: / Line 3,622: @@
 | SOFVSR
 | Animation
-| 2020.11.17
+| 2020-11-17
 | none
 |
@@ Line 3,526: / Line 3,635: @@
 | SOFVSR RRDB / VESRGAN
 | Animation
-| 2020.11.25
+| 2020-11-25
 | none
 |
@@ Line 3,538: / Line 3,647: @@
 | SOFVSR RRDB / SOFVESRGAN
 | Animation
-| 2020.12.03
+| 2020-12-03
 | none
 |
@@ Line 3,550: / Line 3,659: @@
 | SOFVSR RRDB / SOFVESRGAN Lite [nf=32, nb=12]
 | IRL videos
-| 2020.12.03
+| 2020-12-03
 | none
 |
@@ Line 3,562: / Line 3,671: @@
 | RRDB
 | IRL videos
-| 2021.02.26
+| 2021-02-26
 | upscale IRL videos. Use not recommended by creator
 | none
 | https://cdn.discordapp.com/attachments/547949806761410560/813134983236419664/100k_iter.mp4
+|-
+| [https://mega.nz/folder/qslgTZYQ#wE9l53sTH78B6wjPX5GRwQ 2x_VimeoScale_Unet]
+| Sazoji
+| 2x
+| CC BY-SA 4.0
+| SOFVSR-RRDB (light arch, 3 frames, nf=32, nb=12)
+| Upscaling video content
+| 2021-09-09
+| This model is meant to surpass VEAI 2x while being efficient to run quickly with fp16. The real-esrgan/BSRGAN augmentation and Unet should help with videos where the resolution is not ideal and can reconstruct details without effecting blurs in most cases. This model SHOULD run faster than real-esrgan while matching the resolving and enabling some multiframe feature extraction. No major denoising/compression/blurring effects (or artifacts) should be found.
+| Self-Trained Base for the Unet finalisation with vgg_fea discrim
+| [https://imgsli.com/NzAyMTc Sample 1] [https://imgsli.com/NzAyMTg Sample 2] [https://imgsli.com/NzAyMTk Sample 3]
+|-
+| [https://mega.nz/folder/b8MTgYhA#CkKajnw0fPu5BVynl-caOQ 4x_VimeoScale]
+| Sazoji
+| 4x
+| CC BY-SA 4.0
+| SOFVSR-RRDB (5 frames)
+| Upscaling IRL video content
+| 2021-10-08
+| This model is one of the longest I have trained and tuned, includes some noise training but this is not intended for deblocking/decompression. Combined with https://github.com/JoeyBallentine/Video-Inference 's fp16 mode, this should handle most SD and 720p content at or faster than ESRGAN, with a significant bump in quality.
+| Self-Trained Base for the Unet finalisation with vgg_fea discrim
+| [https://imgsli.com/NzUwODU Sample 1] [https://imgsli.com/NzUwODQ Sample 2] [https://imgsli.com/NzUwODc Sample 3] [https://imgsli.com/NzUwODY Sample 4]
 |-
 |}
@@ Line 3,624: / Line 3,757: @@
 |-
-This is a video frame rate interpolation AI model. This CANNOT be used with Cupscale or ESRGAN, you need this: https://gitlab.com/hubert.sontowski2007/cainapp
+CAIN is a video frame rate interpolation AI. These models are intended for use with CAIN only. These CANNOT be used with Cupscale or ESRGAN, you need this: https://gitlab.com/hubert.sontowski2007/cainapp
 | [http://91.232.191.56/models/190581.pth 190562_vimeo_enchanced.pth]
@@ Line 3,630: / Line 3,763: @@
 | 2x
 | MIT
-| CAIN  (https://gitlab.com/hubert.sontowski2007/cainapp)
+|[https://gitlab.com/hubert.sontowski2007/cainapp CAIN]
 | RL videos - interpolation
-| 2021.07.13
+| 2021-07-13
 |
 |
@@ Line 3,643: / Line 3,776: @@
 | 2x
 | MIT
-| CAIN  (https://gitlab.com/hubert.sontowski2007/cainapp)
+|[https://gitlab.com/hubert.sontowski2007/cainapp CAIN]
 | Anime - interpolation
-| 2021.08.06
+| 2021-08-06
 |
 |
 | [https://cdn.discordapp.com/attachments/724353640521007145/873861876352704533/1.webm Sample]
+|-
+| [https://e.pcloud.link/publink/show?code=kZhh05ZMvnTmaKOepQPfMoQlv9sMRD3nQw7 rvpV1]
+| sudo rm -rf / --no-preserve-root#8353
+| 2x
+|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
+|[https://gitlab.com/hubert.sontowski2007/cainapp CAIN]
+| Video Frame Interpolation for anime openings
+| 2021-09-14
+|
+| My ~~first~~ (ok technically second) attempt to create a video frame interpolation model and I like how it turned out. To use it, you can either use https://gitlab.com/hubert.sontowski2007/cainapp, https://github.com/styler00dollar/Colab-CAIN or the bot in [Game Upscale] (model called rvpv1 there, just use --model rvpv1). Some demo videos in pcloud, but you need to download them. The web player seems to playback in low fps. The architecture is mainly the same to the original CAIN, but i modified the padding to be zero padding instead. ``.pt`` means JIT model, `.pth`, means normal pytorch model. Architecture file is in pcloud as well. And no, no cupscale or flowframes. Dataset: Modified Animeinterp dataset
+| https://files.catbox.moe/xiq9vi.mp4
+|-
+| [https://files.catbox.moe/nxh1cv.pth cvpv6.pth]
+| hubert
+| 2x
+| MIT
+|[https://gitlab.com/hubert.sontowski2007/cainapp CAIN]
+| Anime - interpolation
+| 2021-09-21
+|
+|
+|
 |-
 |}

Difference between revisions of "Model Database"