Model Database

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.

For Datasets to train your models, go here: https://upscale.wiki/wiki/Dataset_Database

Looking for Official Models (Such as ESRGAN, BSRGAN, or Real-ESRGAN)? Check this page: https://upscale.wiki/wiki/Official_Research_Models

ESRGAN ("old Architecture") Models

These are all models that use the "old" ESRGAN architecture. There are various GUIs available to inference/upscale with these models. The only actively maintained program is chaiNNer by Joey. The others are: IEU by Honh Cupscale by NMKD.

These programs can be used to train your models: BasicSR, the official ESRGAN repository (old arch tag), victorca's traiNNer (https://github.com/victorca25/traiNNer), or sudo's colab-traiNNer (https://github.com/styler00dollar/Colab-traiNNer/).

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 Remacri Backup Mirror	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
4x-UltraSharp	Kim2091	4x	CC BY-NC-SA 4.0	ESRGAN	Universal Upscaler	2021-10-27	This is my best model yet! It generates lots and lots of detail and leaves a nice texture on images. It works on most images, whether compressed or not. It does work best on JPEG compression though, as that's mostly what it was trained on. It has the ability to restore highly compressed images as well! If you want a more balanced output, check out the UltraMix Collection down below. It's a bunch of interpolated models based around UltraSharp and my other models	4xESRGAN	Sample 1 Sample 2 Sample 3 Sample 4
UniScale-Balanced/Strong	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	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 or UltraSharp 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
realesrgan-x4minus	DinJerr	4x	WTFPL	Real-ESRGAN	General Upscaler	2022-04-19	Basically realesrgan-x4plus without the degradation training. Supposed to help retain more details, but unfortunately due to the dataset (I think) still blurs details adjacent to other objects.	realesrgan-x4plus	https://imgsli.com/MTA0OTA2
4x_2C2-ESRGAN_Nomos2K_200000_G.pth	Joey	4x	MIT	2C2-ESRGAN	General Upscaler	2022-04-20	Technically my previous experiment was the pretrained model, but for all intents and purposes this was trained from scratch. Description: Pretrained model for the new architecture modification I made. You can read more about it in the github README. Basically it makes smaller ESRGAN models that theoretically can produce the same level of quality. NOTE: THIS WILL NOT WORK IN CUPSCALE, IEU, OR CHAINNER (yet)! You have to use my fork to use it for now.
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
ArtStation	DinJerr	8x	?	ESRGAN	Art/People	2019-08-21		GO UP A FOLDER, THEN TO THE ARTSTAION1000 OR ARTSTATION1337 FOLDER
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
4x-AnimeSharp	Kim2091	4x	CC BY-NC-SA 4.0	ESRGAN	Anime or Text	2021-12-28	Text or Anime	Interpolation between 4x-UltraSharp and 4x-TextSharp-v0.5. Works amazingly on anime. It also upscales text, but it's far better with anime content. I rebranded this model on 2/10/22 to 4x-AnimeSharp from 4x-TextSharpV1.	Text Sample Anime Sample Anime Sample 2
4x-AnimeSharp-lite	Kim2091	4x	CC BY-NC-SA 4.0	ESRGAN-lite	Anime	2022-02-11	Anime	This model is a lite version of AnimeSharp. It was trained using student-teacher learning (if i'm using the term properly), where the HRs are LRs upscaled by the full size AnimeSharp ESRGAN model, and the lite model is trained on those outputs as the HR. It works best on clean or slightly blurry anime. Downscale by 50% first in almost all cases	https://cdn.discordapp.com/attachments/547949405949657100/941776512049360986/unknown.png https://cdn.discordapp.com/attachments/547949405949657100/941770824543797268/unknown.png https://cdn.discordapp.com/attachments/903415274521374750/941779970013925506/unknown.png
sudo_RealESRGAN2x_3.332.758_G.pth / sudo_RealESRGAN2x_Dropout_3.799.042_G.pth (pcloud) sudo_RealESRGAN2x_3.332.758_G.pth / sudo_RealESRGAN2x_Dropout_3.799.042_G.pth (mediafire)	sudo	2x	CC BY-NC-SA 4.0	ESRGAN (6B)	Anime	2022-06-25	Tried to make the best 2x model there is for drawings. I think i archived that. And yes, it is nearly 3.8 million iterations (probably a record nobody will beat here), took me nearly half a year to train. It can happen that in one edge is a noisy pattern in edges. You can use padding/crop for that. I aimed for perceptual quality without zooming in like 400%. Since RealESRGAN is 4x, I downscaled these images with bicubic. I would recommend my VSGAN code though and just load the onnx. https://github.com/styler00dollar/VSGAN-tensorrt-docker I just wanted a good 2x model for animations, but that model can also be used for wallpapers and so on. Before I hear people complaining, the dropout model is a modified architecture. Stuff like cupscale or chaiNNer won't work with pth. Load the onnx with VSGAN or chaiNNer. I did add the model before switching to dropout though, which is normal ESRGAN pth, that one should work everywhere. I also converted everything into onnx, jit and ncnn, so pretty much everything there is. If you want to use ncnn, don't use nihuis code (that also includes cupscale), these codes don't include propper tiling in C++, which is very bad for this model. I think chaiNNer should have overlap/padding with ncnn, so use that instead if you really want ncnn. Plz don't steal without credits, k thx.	Pretrained_Model_G: RealESRGAN_x4plus_anime_6B.pth / RealESRGAN_x4plus_anime_6B.pth (sudo_RealESRGAN2x_3.332.758_G.pth)	https://cdn.discordapp.com/attachments/579685650824036387/990323693660033045/jpg_compare.png https://cdn.discordapp.com/attachments/579685650824036387/990323694196916275/test2_compare.png https://cdn.discordapp.com/attachments/579685650824036387/990323694561816606/f4_compare.png https://cdn.discordapp.com/attachments/579685650824036387/990323695186763884/test_compare.png https://cdn.discordapp.com/attachments/579685650824036387/990323695601987584/f2_compare.png
2x_Bubble_AnimeScale_Compact_v1	Bubblemint#6472	2x	CC BY-NC-SA 4.0	Real-ESRGAN Compact	Anime or Text	2022-11-13	Text or Anime	This is my first model, so it's not perfect, but I wanted to see if I could train an upscaling model that didn't result in a lot of detail loss and deblurring like the current Compact upscaling models. I believe I accomplished this, but I was unable to reduce contrast shifting. The contrast shifting may cause skin tones to appear incorrect on bright frames, but it's not too bad overall! I'll list a few examples below; more can be found by clicking the Overview link on the Github release page.	https://imgsli.com/MTM0MzMx https://imgsli.com/MTM0MzM3 https://imgsli.com/MTM0MzQw
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_AnimeClassics_UltraLite_510K	CG1989	2x	CC BY-NC-SA 4.0	ESRGAN	Anime/Pretrained	2022-03-08	A 2x Ultra Lite model coming in under 8MB. Trained with over 15 sets of LRs ranging in a wide amount of issues. Handles Rainbows, Dot Crawl, MPEG/H.264 Compression, and may even assist in removing halos, and fixing blurriness in certain cases. This is my first public model for everyone. Best when used on old anime that is grainy. I can't say what anime it's best suited for as I have tried multiple series, and have found it does a good job on most all the tests. I wouldn't say use this for Western Animation, but it may work. I have done a few tests that I have shown in the upscale results, but that was chained with other models to achieve such a result. This model is meant to retain the more natural look of a series. There is a color shift on the end result, not drastic, but still noticable. I figure you should fix any color issues in post that way to give a more polished upscale. Big thanks to @SaurusX for the model name, and just helping out in general with anything.	2X_DigitalFilmV5_Lite.pth	Sample 1 Sample 2 Sample 3 Sample 4
600k 650k BooruGan	Tal	4x	WTFPL	ESRGAN	Anime	2021-11-26	This model is designed to mainly upscale anime artworks. If you have issues with chroma then try the 600k iterations release.	4x_Manga109Attempt	Sample 1 Sample 2 Sample 3
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
4x_eula_digimanga_bw_v1_860k	end user license agreement#9756	4x	CC BY-NC-SA 4.0	ESRGAN	Manga	2022-1-26	Black and white digital manga with halftones.	4xPSNR	Clean Heavy Degradation
4x_eula_digimanga_bw_v2_nc1_307k	end user license agreement#9756	4x	CC BY-NC-SA 4.0	ESRGAN	Manga	2022-08-17	Vast improvement over v1 in low frequency detail; moiré and artifacting reduced significantly and less random noise from JPEG artefacts in the input. Also now only works on 1 channel images, so it runs slightly faster on average and resulting images are much smaller but it might not work on some ESRGAN implementations, I personally recommend using chaiNNer. v1 may still be better in some edge cases. There's also a supplementary 1x model that denoises very low quality LRs and smooths halftones so the image works better with the 4x model. Only trained it to help build the dataset and it's useless for already decent-ish LRs but may help you in some situations.	4x_eula_digimanga_bw_v1_860k	https://slow.pics/c/Asbu0xgz
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
1x_BroadcastToStudioLite_485k	SaurusX	1x	CC BY-NC-SA 4.0	ESRGAN	Animation	2022-03-05	Improvement of low-quality cartoons from broadcast sources.	Will greatly increase the visual quality of bad broadcast tape sources of '80s and '90s cartoons (e.g. Garfield and Friends, Heathcliff, DuckTales, etc). Directly addresses chroma blur, dot crawl, and rainbowing. You're highly advised to take care of haloing beforehand in your favorite video editor as the model will not fix it and may make existing halos more noticeable.	Sample 1 Sample 2 Sample 3
2x_SwatKats_154000_G	SaurusX	2x		ESRGAN	Animation	2021-11-17	In addition to removing the vertical blur, the model upscales, sharpens and will remove MPEG-2 artifacting and a small amount of rainbowing and dot crawl. Another series afflicted with the vertical blur is Avatar the Last Airbender, which can be repaired by this model. The video fed into the model MUST be 540 vertical for the deblur to work properly.	2xESRGAN	https://imgsli.com/NzM2MDY https://imgsli.com/ODIxMjU
1x_SwatKatsLite_360000_G.pth	SaurusX	1x		ESRGAN	Animation	2021-11-17	Fix vertical blur / split lines / shadowing. A 1x lite model of my 2xSwatKats. Resolves the same video problems as before, but 1x and faster and meant for chaining to other 2x models (or whatever). Input MUST be 540 vertical as the blur problem is very resolution sensitive.	2xESRGAN	https://slow.pics/c/F4ilU8PM
1x_SheeepIt!	Kim2091	1x	CC BY-NC-SA 4.0	ESRGAN	Animation	2022-07-21	Restoring frames from the show "Sheeep"	This model was trained to restore "Sheeep" while retaining and enhancing the noise present in the show. The model amazingly finished training in only 8.8k iterations with no pretrain, with a dataset of only 4 image pairs. This model should work well for animes and cartoons with a lot of grain present. There are some slight haloing issues in dark colors unfortunately, but I was unable to fix it.	Sample 1 Sample 2 Sample 3 Sample 4
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: Sample 1 Sample 2 Sample 3 Sample 4 Sample 5 Video Sample Original Video
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
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 (4x_SpongeBob_235000_G / 4xSpongebob)	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

Digital Animation

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
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-lite	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.
2x_DigitoonLite_216k	SaurusX	2x	CC BY-NC-SA 4.0	ESRGAN-lite	Digital Animation	2022-07-05	Meant as a versatile model for upscaling high detail digital anime and cartoons. Has debanding, MPEG-2 correction, and halo reduction. Trained to handle both 4:3 and 16:9 DVD material with equal efficacy. Will retain a lot of textures except for the really high freq stuff.	2x_DigiGradients_Lite_486k.pth	https://imgsli.com/MTE1Mzg4
2x_DigiGradients_Lite_486k	SaurusX	2x	CC BY-NC-SA 4.0	ESRGAN-lite	Digital Animation	2022-08-24	A very focused model meant for upscaling the TMNT 2003 DVDs. Degradations were added via AVISynth in order to match the video on the TMNT 2003 DVDs to correct the source problems. Problems corrected include aliased red chroma, chroma vertical blur, bad deinterlacing, banding, compression "grain", and poor animation line detail. The AVS scripts for the LR's were run through HCEnc to get authentic low bit rate MPEG-2 artifacts for fixing. By design, the final model gives a very digital-looking result and does not do a good job of retaining textures as the style of TMNT 2003 is all flats and gradients.	none	https://imgsli.com/MTAxNjc1 https://imgsli.com/ODQ2NzI

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 (00-20%)	BlueAmulet	1x	CC BY-NC 4.0	ESRGAN	JPEG			Trained on Custom (CC0 Textures)	JPEG models by Alsa
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 (00-20%)	Alsa	1x	CC BY-NC-SA 4.0	ESRGAN	JPEG			Trained on Custom (Photos / Manga)
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)
Kim2091_DeJpeg_v0	Kim2091	1x	CC BY-NC-SA 4.0	ESRGAN Superlite	JPEG		Model I forgot to release. This doesn't totally remove JPEG artifacts, but it does a decent job at a fast rate. It seemingly does a better job of retaining detail than some other JPEG models. The model is incomplete, I need to train it further on compact rather than ESRGAN. This is just a temporary release	Custom JPEG dataset	https://cdn.discordapp.com/attachments/903415274521374750/1041539960672632832/1668392853.8196685.png https://cdn.discordapp.com/attachments/903415274521374750/1041540021175463956/1668392885.0326388.png
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	Kim2091	4x	CC BY-NC-SA 4.0	ESRGAN	JPEG (works on many compression formats)	2021-09-07	USE 4x-UltraSharp INSTEAD - 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)
1x_GainRESV3 (Aggro,Natural,Passive)	CF2lter	1x	WTFPL	ESRGAN	Anti aliasing / Deblur	2022-02-26	To eliminate aliasing and general artifacts caused by not enough resolution while bringing out details Im stopping its training here because it's getting worse, i think of some aligment issues by game's rendering pipeline + downscaling... Dataset: 5K resolution shots from paladins rendered by 200% for hr and 37.5%(1080p) for lr then downscaled to 1080	BCGONE_DetailedV2	https://cdn.discordapp.com/attachments/579685650824036387/947132730313949184/cmp2.png https://cdn.discordapp.com/attachments/579685650824036387/947132731056324668/cmp.png

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
x1_ITF_SkinDiffDDS_v1	intheflesh#3116	1x	CC BY-NC 4.0	ESRGAN	BC1 Compression	2022-08-24	Removes banding, blocking, dithering, aliasing, noise and color tint on DDS Compressed Skin Diffuse Textures. This should work extremely well on most modern DDS compression types. The training set was compressed with BC3/DXT5, BC3/DXT5 Fast, BC2/DXT3, BC2/DXT3 Fast, and a small number of JPEG compressed images to cover outliers. This model is trained to remove the slight green color tint that DDS compression tends to add to skin textures, so the model output will not match the original color tone of the input image. This is the desired result though, as DDS compression shifts the colors to a sickly green tint and this model corrects that to more natural color tones. The training set included faces, body parts, eyes, mouths and hair in a variety of skin types and tones so it should work well on most related diffuse textures. However it's not just limited to skin, many other images and textures can be cleaned with this model. Designed to be used as a first step cleaning pass before applying additional models after. Check out the other ITF Models.	1x_BC1-smooth2.pth	https://imgsli.com/MTIyMzE5 https://imgsli.com/MTIyMzIw https://imgsli.com/MTIyMzIx
1x_DXTDecompressor_Source_V3-300000_G	JosephtheKP	1x	WTFPL	ESRGAN	DXT1 Compression	2021-12-21	Removing compression artifacts from DXT1 compressed textures. This model was created to remove DXT1 compression artifacts from textures imported into the Source Engine. Compressed textures in the engine sometimes have a green-tint which this model also corrects. The data for this model contained a good mix of diffuse textures and normal maps which means this model is pretty good at removing compression from normals as well. Creating this model was a real learning experience for me and I hope someone finds a good use for it.		https://imgsli.com/ODcwNDg https://imgsli.com/ODcwNDk https://imgsli.com/ODcwNTA https://imgsli.com/ODcwNTE
1x_DEDXT	CF2lter	1x	WTFPL	ESRGAN	DXT compression	2022-02-26	To retain details while removing artifacts caused by dxt compression on textures		https://cdn.discordapp.com/attachments/579685650824036387/947116367205793882/cmp.png
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%)
1x_DEDITHER_32_512_126900_G .pth	Alsa	1x	CC BY-NC-SA 4.0	ESRGAN	Dithering			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.
1x_DeBLR	BlackScout	1x	Unknown or None	ESRGAN	Deblur	2020-02-19	General Deblurring
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	CC BY-NC-SA 4.0	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 - Purpose: Fix images that have been arbitrarily / poorly resized, such as non-integer nearest-neighbor upscaling/downscaling - Also acts as an image sharpener/deblur when used on slightly soft inputs	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
ReFocus V3 (1x_ReFocus_V3_140000_G.pth)	Twittman	1x	CC BY-NC-SA 4.0	ESRGAN	Deblur / ReFocus	2022-03-12	Dataset: Photos, Anime, and manga - Purpose: DeBlur, ReFocus, Sharpen Real life style images, but will work on Anime images too.	1x_Saiyajin_DeJPEG_300000_G.pth
ReFocus Cleanly (1x_ReFocus_Cleanly_100000_G.pth)	Twittman	1x	CC BY-NC-SA 4.0	ESRGAN	Deblur / ReFocus	2022-01-21	Dataset: Anime, manga, and photos - Purpose: DeBlur, ReFocus, Sharpen Manga, Anime and cartoon style images, but will work on real life images too.	1x_ReFocus_V3_110000_G.pth

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
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	sample
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
Ghibli_Grain.pth	nonogamester#3975	1x	CC BY-NC-SA 4.0	ESRGAN	Realistic Ghibli Grain	2022-11-16	Text or Anime	Attempt to get the nostalgic grain feel of classically animated Ghibli movies. Got the idea from researching the making of Ronin's :PKT_blue: 1x_AnimeFilmGrain28k. This was made running Nate video denoising with the preset "more denoising" on kiki's delivery service then overlaying it 66.65 percent over the original with DaVinci. On digital drawn anime it gives a slightly [10%] more organic/sharp feel to black lines. Matches well with content that already has a light digital grain. Run Twice for heavy grain. Eternal Thanks to all that indulge all my :psyduck: Wonderings :element_fire_neon:	https://slow.pics/c/M6dNTu6G https://imgsli.com/MTM0Nzcw/9/8

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
4x-TextSharpV1	Kim2091	4x	CC BY-NC-SA 4.0	ESRGAN	Text	2021-12-28	Text or Anime	Interpolation between 4x-UltraSharp and 4x-TextSharp-v0.5. This is a duplicate listing of 4x-AnimeSharp	https://media.discordapp.net/attachments/556604553424928768/925526934555881532/unknown.png https://cdn.discordapp.com/attachments/903415274521374750/925533775616696340/unknown.png
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

Alphas

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
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
1xRedImage10000.pth	3majsie1995	1x	CC BY-NC 4.0	ESRGAN	Correct old color photos that are tinted red	2022-08-04	Correct old color photos that are tinted red. Model only tested in nature.	1xESRGAN	https://i.imgur.com/5O74rRL.png
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

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
4x_SmolFace_200k	DinJerr	4x	CC BY-NC-SA 4.0	ESRGAN	Art/People	2022-08-19	A sharp upscaler trained specifically for small sprite faces. Does not blend, so avoid using on painted/photo portraits unless you were trying to retain more of the outlines somehow.	4x_NMKD-UltraYandere_300k	https://imgsli.com/MTIxNjU1/8/9
BigFace_v3, BigFace_V3_Blend, BigFace_V3_Clear	DinJerr	4x	CC BY-NC 4.0	ESRGAN	Art/People	2020-07-22		4x_BigFace
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

Skin

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
x1_ITF_SkinDiffDetail_Lite_v1	intheflesh#3116	1x	CC BY-NC-SA 4.0	ESRGAN	Skin Upscaling		Adds plausible high frequency detail and removes subtle blur. This is an early unfinished attempt at a x1 Lite model designed specifically for enhancing detail on skin diffuse textures of 3d characters. Even in its current state it works quite well. Best suited for uncompressed or cleaned textures - otherwise it may just enhance any existing compression artefacts too. The training set included faces, body parts, eyes and hair in a variety of skin types and tones so it should work well on most related diffuse textures. However it's not just limited to skin, many other images and textures can be enhanced with this model. The results are subtle, so run multiple times if desired.	50/50 Interpolation of DIV2K-Lite and SpongeBC1-Lite

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	tldr_coder	4x	WTFPL	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
4x_Link	Fielran#1024	4x	GNU GPL3	ESRGAN	Chainmail game textures. Alternatively, it can be used to turn plain images into chainmail.	2022-10-06	A highly generative model for chainmail game textures. Works fairly well on items without visible chainmail texture (ie just a grey area) or items with clear chainmail texture, less well on items with present but poorly defined chainmail texture. I'm not 100% happy with it but it is still an improvement over existing models in enough situations to be worth releasing.	4x_Nickelfront_14000G.pth	https://cdn.discordapp.com/attachments/579685650824036387/1027685415756509265/4x_Link_500000_G-TestImage-0x9F6EFFE0.png https://cdn.discordapp.com/attachments/579685650824036387/1027685416180121722/4x_Link_500000_G-TestImage-CMMM_Knight_Templar_ID2_DiffuseMap.png https://cdn.discordapp.com/attachments/579685650824036387/1027685416528261203/4x_Link_500000_G-TestImage-Crest_Venetian_DiffuseMap.png
4x-FatePlus-lite	Kim2091	4x	CC BY-NC-SA 4.0	ESRGAN-lite	Anime PSP games, Fate Extra	2022-07-03	This model was trained as a favor to Demon and the Fate Extra community. It leaves a nice grain on the images and upscales lines and details accurately without looking odd. This model works on most anime-style PSP games. Enjoy! It works best on content with dithering and quantization. NOTICE: I have included both NCNN and ONNX models to make upscaling easier if you rely on either of these. For NCNN, there's two versions. One is FP16 and the other is FP32. FP16 works best on RTX GPUs. Choose FP32 if in doubt about compatibility, or if FP16 doesn't work for you. To use ONNX, download chaiNNer and upscale through there with the ONNX nodes.	4x-AnimeSharp-lite
4x_GameAI_2.0 4x_GameAI_1.0	Tal	4x	WTFPL	ESRGAN	PS2 textures, cartoonish and realistic game textures.	2022-02-27	This model is intended to mainly handle PS2 compression and a mixture of Realistic and cartoonish textures, it's not meant to be used for very low resolution textures such as item icons. Dataset: I used textures from, "(A Hat in Time, Kingdom Hearts 3 and World of Final Fantasy) for GameAI_2.0" "(Skyrim, The Witcher 3, Resident Evil 4, Final Fantasy XV and Tales of Vesperia ) for GameAI_1.0" Dataset_size: 21.9k to 70k textures , up to 1024x1024 per texture	4x_GameAI_1.0	https://cdn.discordapp.com/attachments/579685650824036387/947610558981632040/2ea384c8dc05593e-55207ec648ad52a4-00006213_2-comparison.png https://cdn.discordapp.com/attachments/579685650824036387/947610559497510922/65aac3d41ce0297c-5ff21b7095173a35-00006213_2-comparison.png https://cdn.discordapp.com/attachments/579685650824036387/947610560005033984/a6518186b4e88a86-ddbb8bd9666cd975-00006213_2-comparison.png https://cdn.discordapp.com/attachments/579685650824036387/947610560369950740/ae6ae340a472b13d-2ade3b7d0cf4a09f-00005dd3_2-comparison.png
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

You may want to use this instead: https://github.com/JoeyBallentine/Material-Map-Generator

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
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
4x_HDCube	Venomalia	4x	CC0-1.0	ESRGAN	Gamecube and Wii textures.	2022-05-10	Gamecube and Wii textures (mainly DXT and 8bit color compression). Is good for preserving fine details without affecting the original style too much, it is not suitable for pixel art, small icons and text under 16 pixel.	4x_NMKD Siax	https://imgsli.com/MTA3NDQ3 https://slow.pics/c/rmQsQ6yb
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
Morrowind 2.0	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
DeBink_Lite	Kim2091	1x	CC BY-NC-SA 4.0	ESRGAN-lite	Compression	2021-10-30	This model was trained on lossless video frames of Metal Arms: Glitch in the System, compressed with Bink V1 for the LR frames. It's a lot more efficient than my first DeBink model, and also has less artifacts. It's not quite as robust, but the compression is barely noticeable in videos after processing with this.	none	Video Sample
1x-RoQ_nRoll	Kim2091	1x	CC BY-NC-SA 4.0	ESRGAN	Compression	2021-11-21	This model decompresses images and video compressed using RoQ. Config and presets will be added when Mega decides to let me use their site!	none	https://imgsli.com/ODI5Njg https://cdn.discordapp.com/attachments/911838608879677440/912086092755374200/unknown.png https://cdn.discordapp.com/attachments/911838608879677440/912084886792314880/unknown.png https://cdn.discordapp.com/attachments/911838608879677440/912085213859954788/unknown.png https://cdn.discordapp.com/attachments/911838608879677440/912087766366564372/unknown.png
1x_DeRoqBeta-lite	Kim2091	1x	CC BY-NC-SA 4.0	ESRGAN	Compression	2022-07-26	Incomplete lite model to remove ROQ compression		https://cdn.discordapp.com/attachments/579685650824036387/1001671437293207672/1658887461.0522466.png
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 (mirror) 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
ToonVHS	Redslam	1x	CC BY-NC-SA 4.0	ESRGAN	VHS	2022-02-06	Best when used on cartoons, it can work on anime. Due to the dataset it does struggle a bit with orange colors and grainy dark spots. This model is meant to be used to clean up the image before using it on a 2x or 4x model.	1xESRGAN	Examples of ToonVHS + other models Examples of ToonVHS by itself
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

Model Collections

Model Name	Author	Scale	License	Architecture	Purpose	Date Posted	Description	sample
OptimusPrimal's Collection	OptimusPrimal	Various	WTFPL	ESRGAN	Collection	2022-02-28	I'm dumping all my models here. (I moved my favorites to a favorite folder). Most of these models work well on DVD resolution animation sources. These are all ESRGAN models. Everything is with the WTFPL license. So do whatever you want with them. Credit is not needed, but would be nice if you use them to make something. There's a few that are interpolations with other user's publicly available models, or interpolations of other user's publicly available models (so technically, these are not mine), so credit goes out to them, the only ones I can remember off the top of my head is @twittman with the Fatality model series, which are great, and @cd VSGAN && poetry install with the Sol Levante/American Dad2 models, and if you do 50/50 with those 2 models, you get a really good model that I called Soladad.
Kim's Collection	Kim2091	Various	CC BY-NC-SA 4.0	Various (ESRGAN and ESRGAN-lite)	Collection	2022-02-28	My (Kim's) main folder for hosting models. Every model of mine on this database links to subsections of this folder. If a link is broken or you just want to see nearly all of the models I've trained, look here.
UltraMix Collection	Kim2091	Various	CC BY-NC-SA 4.0	Various (ESRGAN and ESRGAN-lite)	Collection	2022-06-28	This is a mixture of models based around UltraSharp and my other available models. These are usually interpolations that have separate but very helpful uses. As an example, UltraMix_Restore is a combination of UltraSharp and UniScale_Restore, and is great for video game textures.
NMKD's Collection	NMKD	Various	Various	Various (ESRGAN and ESRGAN-lite?)	Collection	2022-02-28	NMKD's main folder for hosting models. Nearly every one of NMKD's models posted on this wiki link to it.
Joey's ESRGAN Bot Collection	Various	Various	Various	Various	Collection	2022-08-04	Here is a dump of all the ESRGAN-Bot models. As it was a un-curated collection, many of the models here were never officially released, but I do not know exactly which ones. If one of your models is included here and you would like me to remove it, please let me know.

Pretrained Models

Looking for official models? Look here: https://upscale.wiki/wiki/Official_Research_Models

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
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
Compact Pretrained Models	Zarxrax	1x-4x	WTFPL	Real-ESRGAN "compact"	Pretrained	2022-07-31	This is a collection of pretrained models for Real-ESRGAN's Compact architecture. There are 1x, 2x, and 4x models, as well as 1x and 2x "UltraCompact" and "SubCompact" models (think of these as the equivalent to ESRGAN "lite" models). By using these are pretrains for your models, you can ensure that your models are able to be interpolated with other Compact models that were trained from these. These pretrains are compatible with most existing compact models.

Pretrained Discriminators

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
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

Real-ESRGAN Compact Custom Models

These are the new, small and fast Real-ESRGAN "compact" models. These are different from normal ESRGAN or Real-ESRGAN models. They can be used with chaiNNer.

Model Name	Author	Scale	License	Architecture	Purpose (short)	Date Posted	Purpose (Full)	Pretrained_Model_G	sample
Compact Pretrained Models	Zarxrax	1x-4x	WTFPL	Real-ESRGAN "compact"	Pretrained	2022-07-31	This is a collection of pretrained models for Real-ESRGAN's Compact architecture. There are 1x, 2x, and 4x models, as well as 1x and 2x "UltraCompact" and "SubCompact" models (think of these as the equivalent to ESRGAN "lite" models). By using these are pretrains for your models, you can ensure that your models are able to be interpolated with other Compact models that were trained from these. These pretrains are compatible with most existing compact models.
sudo_UltraCompact_2x_1.121.175_G.pth (pcloud) / sudo_UltraCompact_2x_1.121.175_G.pth (mediafire)	sudo	2x	CC BY-NC-SA 4.0	Compact	Realtime animation restauration and doing stuff like deblur and compression artefact removal	2022-05-29	My first attempt to make a REALTIME 2x upscaling model while also applying teacher student learning. It beats Anime4k in every way. These benchmarks use a 3060ti and it shows that everything better than a 3060ti should be able to handle 1080p input if you create engine files and use my TensorRT code. You can see in the readme how to convert onnx files into engines. The 2 right bars compare normal Compact2 and Ultracompact in speed, the 2 on the left showcase older apis I used which isn't too important for this showcase. To use this, you need to use my code which is https://github.com/styler00dollar/VSGAN-tensorrt-docker. If you use Manjaro, it is also possible to pipe the data stream directly into mpv, so you can watch it in a video player without rendering a video. Yeah the model does seem a little noisy if you zoom in a lot, but don't forget that the model itself is only 1.2mb. I think it does quite well. I still try to improve on fast models, but this is good enough to share as a first model. Plz don't steal without credits, k thx.	RealESRGANv2-animevideo-xsx2.pth (Teacher: RealESRGANv2-animevideo-xsx2.pth)	https://cdn.discordapp.com/attachments/579685650824036387/980550564725260358/compare.png https://cdn.discordapp.com/attachments/579685650824036387/980550565354410066/unknown.png https://cdn.discordapp.com/attachments/579685650824036387/980550565723529226/compare2.webp
2x_DigitalFlim_SubCompact	Zarxrax	2x	WTFPL	Compact [nf:24 nc:8]	Animation	2022-05-14	This was trained on the dataset that OptimusPrimal used for his DigitalFilm models. This model cleans up the image removing some noise while upscaling. This model is very fast, running around 200x the speed of a standard ESRGAN model on my system. This is primarily a proof of concept for how fast Real-ESRGAN models can get while still producing nice results.		https://imgsli.com/MTA3ODYx https://imgsli.com/MTA3ODY0 https://imgsli.com/MTA3ODY2 https://imgsli.com/MTA3ODY3
1x_HurrDeblur_SubCompact	Zarxrax	1x	WTFPL	Compact [nf:24 nc:8]	Animation	2022-06-04	This is a sharpening/deblurring model for anime video. It was created with three goals in mind: Be blazing fast Try to avoid enhancing noise and compression artifacts Try to avoid over-enhancing intentionally blurred parts of the image Despite that last point, this is not intended to be used on modern anime which makes heavy of use depth-of-field effects.		https://imgsli.com/MTEwOTg4 https://imgsli.com/MTEwOTY2 https://imgsli.com/MTEwOTY5 https://imgsli.com/MTEwOTcx
1x_AnimeUndeint_Compact	Zarxrax	1x	WTFPL	Compact	Animation	2022-06-05	This model corrects jagged lines on animation that has been deinterlaced. It handles simple line doubling, line interpolation, and even Yadif-style artifacts. It can also handle sources that were resized after deinterlacing, for example resizing from ntsc to pal resolutions. If a source has been upscaled after deinterlacing, it will need to be downsized before applying this model.		https://imgsli.com/MTExMTE0 https://imgsli.com/MTExMTE1 https://imgsli.com/MTExMTE2 https://imgsli.com/MTExMTE3
1x_BleedOut_Compact	Zarxrax	1x	WTFPL	Compact	Animation	2022-07-25	This model helps repair color bleed and heavy chroma noise that may be present on some older footage, particularly that which was recorded on VHS. It also cleans up rainbows if they are present.		https://imgsli.com/MTE4MjEz https://imgsli.com/MTE4MjE4 https://imgsli.com/MTE4MjE5
2x / 4x-anifilm_compact	Kim2091	2x and 4x	CC BY-NC-SA 4.0	Compact	Animation	2022-08-02	This model is based on a private model by @eula 5600x 3070 named 4x_eula_anifilm_v1_225k. He sent me a copy of the model, and I decided to train a compact model based on it with his permission. This model seems to fix the majority of the issues the original model had while being far faster, it's just a tiny bit softer in some images. The dataset consists of Dragon Ball movies converted to YUV24 with @sgdisk --zap-all /dev/sda's help to reduce artifacts, then upscaled with ArtClarity and eula_anifilm. LRs are the original frames right from DVD. As a result, this model corrects some color space issues. The 2x model's HRs were downscaled by 50% with Lanczos. The 2x and 4x models are pretty close in output despite being trained separately. The 2x model is a bit softer overall. The models in the Real-ESRGAN Compatible folder are the original output from Real-ESRGANs training code for compatibility reasons.	4x_Compact_Pretrain.pth	2x Comparison: Sample 1 Slider Comparison 1 4x Comparison: Sample 2 Slider Comparison 2

Official Models

To cut down on the length of this page and reduce confusion, these models have been moved here: https://upscale.wiki/wiki/Official_Research_Models This page contains models such as: ESRGAN, BSRGAN, Real-ESRGAN, and more.

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

RIFE Models

Model Name	Author	Scale	License	Architecture	Purpose	Date Posted	Description	Pretrained_Model_G	sample
sudo_rife4_269.662_testV1_scale1.pth	sudo	2x	CC BY-NC-SA 4.0	RIFE	Animation interpolation	2022-06-25	I never really mentioned it in model-releases prior since I think not too many care about interpolation here, but I trained a rife4 model for animation a some months ago, which is better than rife4 and rife4.2 imo. Thought I should also mention it here as well. I also converted it into ncnn. (Nihuis rife ncnn models are only exported with the fastest mode and not the best quality. I exported ncnn models for the most important quality settings. Due to different export/quality settings, there are multiple models. For that reason alone, my ncnn models are much better too, since nihui only exported the fastest one.) My https://github.com/styler00dollar/VSGAN-tensorrt-docker also has the rife ncnn extention, which can use VMAF, dedup, scene detection and so on, which I would recommend. My models are in that extention as well, just select model 10, 11 or 12 and use the dev docker. That test video is done with 2x framerate, enbemble True and FastMode False, combined with scene detection and dedup stuff, tta False. Towards the best quality rife can do. Plz don't steal without credits, k thx.		https://cdn.discordapp.com/attachments/579685650824036387/990345004260151296/ngnl_sudorife.mp4

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	Date Posted	Description	Pretrained_Model_G	sample
explodV1	hubert	2x	BSD-3-Clause	CAIN YUV	Animethemes	2022-07-29	I think one of sharpest models for anime Plz don't steal without credits, k thx.		https://cdn.discordapp.com/attachments/579685650824036387/1002663424695750686/output.mp4
190562_vimeo_enchanced.pth	hubert	2x	MIT	CAIN	RL videos - interpolation	2021-07-13
cainREALTIME	hubert	2x	MIT	CAIN (CAIN 1 Group)	RL videos - interpolation	2021-07-13	Trained mostly on abba music videos
cainliteanime.pth	hubert	2x	MIT	CAIN	Anime - interpolation	2021-08-06			Sample
rvpV1 (pcloud) rvpV1 (mediafire)	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

Waifu2x Models

Some helpful links for Waifu2x, rewritten in PyTorch. The repos contain the pretrained models themselves as well.

• Regular Waifu2x
• Waifu2x-CuNet