Info-icon.png We have moved to https://openmodeldb.info/. This new site has a tag and search system, which will make finding the right models for you much easier! If you have any questions, ask here: https://discord.gg/cpAUpDK

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|-
 
| '''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.'''
 
|}
 
  
{| class="wikitable"
+
{{Note|'''<big><big>We have moved to https://openmodeldb.info/. This new site has a tag and search system, which will make finding the right models for you much easier! If you have any questions, ask here: https://discord.gg/cpAUpDK</big></big>'''}}
|-
 
| '''For Datasets to train your models, go here: https://upscale.wiki/wiki/Dataset_Database'''
 
|}
 
  
=ESRGAN ("old Architecture") Models=
+
<big><big>If you need to look at the old Model Database anyway, [https://upscale.wiki/w/index.php?title=Model_Database&oldid=1571 look here]</big></big>
 
 
Models that use the "old" ESRGAN architecture. They can be used either with the official ESRGAN repository (old arch tag)
 
and BasicSR (old arch or preferably victorc's traiNNer version). You can also use tools that wrap around one of them, like IEU from Honh or Cupscale by [[User:nmkd|Nmkd]]. A new tool that allows chaining various tasks (such as image scaling, brightness/contrast editing, and comparison generation) with ESRGAN models is [https://github.com/joeyballentine/chaiNNer chaiNNer] by Joey.
 
 
 
==Image scaling and Video upscaling==
 
 
 
===Universal Models===
 
 
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
|-
 
 
 
 
 
|[https://drive.google.com/drive/folders/1YCLuYo_xDErhBi9GkHSTvzPfxIDcvhZW?usp=sharing CountryRoads]
 
|[[User:EzoGaming|EzoGaming]]
 
|4x
 
|WTFPL
 
|ESRGAN
 
|Universal Upscaler
 
|2021-08-26
 
|Streets with dense foliage in the background. Outdoor scenes.
 
|[https://drive.google.com/drive/folders/1ldwajXL50uC7PCS63B4Wato6Dnk-svNL 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
 
|-
 
 
 
| [https://u.pcloud.link/publink/show?code=kZgSLsXZ0M1fT3kFGfRXg2tNtoUgbSI4kcSy Remacri]
 
| Foolhardy
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
 
 
|[https://mega.nz/folder/qZRBmaIY#nIG8KyWFcGNTuMX_XNbJ_g 4x-UltraSharp]
 
|[[User:Kim2091|Kim2091]]
 
|4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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!
 
|[https://mega.nz/#!uhAVEaAA!qfwIQ44Ba3rXMAb2-M3aM3zFBCwzmyQ64IO_0O-csJE 4xESRGAN]
 
|[https://cdn.discordapp.com/attachments/902853011913732097/902855337705611294/unknown.png Sample 1] [https://cdn.discordapp.com/attachments/902853011913732097/902853340600360990/unknown.png Sample 2] [https://cdn.discordapp.com/attachments/902853011913732097/902855036768489512/unknown.png Sample 3] [https://cdn.discordapp.com/attachments/900506271566938122/902867618086670356/unknown.png Sample 4]
 
|-
 
 
 
|[https://mega.nz/folder/zUJjnCoB#_zK3vs5iW6atyElO735XDA UniScale-Balanced/Strong (Includes Interp)]
 
|[[User:Kim2091|Kim2091]]
 
|4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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.
 
|[https://mega.nz/#!uhAVEaAA!qfwIQ44Ba3rXMAb2-M3aM3zFBCwzmyQ64IO_0O-csJE 4xESRGAN]
 
|https://slow.pics/c/i75q0yN1
 
|-
 
 
 
|[https://mega.nz/folder/zUJjnCoB#_zK3vs5iW6atyElO735XDA UniScaleNR-Balanced/Strong]
 
|[[User:Kim2091|Kim2091]]
 
|4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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.
 
|[https://mega.nz/#!uhAVEaAA!qfwIQ44Ba3rXMAb2-M3aM3zFBCwzmyQ64IO_0O-csJE 4xESRGAN]
 
|https://slow.pics/c/UkCwdK13
 
|-
 
 
 
|[https://mega.nz/folder/zUJjnCoB#_zK3vs5iW6atyElO735XDA UniScale_Restore]
 
|[[User:Kim2091|Kim2091]]
 
|4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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.
 
|[https://mega.nz/#!uhAVEaAA!qfwIQ44Ba3rXMAb2-M3aM3zFBCwzmyQ64IO_0O-csJE 4xESRGAN]
 
|https://cdn.discordapp.com/attachments/880826637543964712/880934732748169226/unknown.png, https://cdn.discordapp.com/attachments/880826637543964712/880932754102026290/unknown.png
 
|-
 
 
 
|[https://mega.nz/folder/zUJjnCoB#_zK3vs5iW6atyElO735XDA UniScaleV2_Soft/Moderate/Sharp]
 
|[[User:Kim2091|Kim2091]]
 
|4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
|ESRGAN
 
|Universal Upscaler
 
|2021-09-06
 
|This model set is much sharper overall than UniScale V1. These models work great on game textures when interpolated 50/50 with UniScale_Restore, and work amazingly on uncompressed images. DO NOT USE FOR COMPRESSED IMAGES, use the original UniScale for that.
 
|[https://mega.nz/#!uhAVEaAA!qfwIQ44Ba3rXMAb2-M3aM3zFBCwzmyQ64IO_0O-csJE 4xESRGAN]
 
|https://cdn.discordapp.com/attachments/884239326471393331/884296266857713704/unknown.png https://cdn.discordapp.com/attachments/884239326471393331/884294468709257216/unknown.png https://cdn.discordapp.com/attachments/884239326471393331/884298572894441512/unknown.png https://cdn.discordapp.com/attachments/884239326471393331/884302370136289323/unknown.png
 
|-
 
 
 
| [https://e.pcloud.link/publink/show?code=XZ6msZu8BOExSFH4SxixhuxoyrmbRYGQQk Misc]
 
| [[User:Alsa|Alsa]]
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| General Upscaler
 
|
 
| The Misc model is trained on various pictures shot by myself ([[User:Alsa|Alsa]]), including bricks, stone, dirt, grass, plants, wood, bark, metal and a few others.
 
| [http://www.mediafire.com/file/w3jujtm752hvdj1/Manga109Attempt.pth.zip/file Manga109Attempt]
 
|-
 
 
 
 
 
| [https://drive.google.com/file/d/1IHp3Ibs3B8wSKZg2iGAVy4DP5bTSTOBb/view FuzzyBox]
 
| |[[User:BlueAmulet|BlueAmulet]]
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
 
| ESRGAN
 
| General upscaler
 
| 2020-07-21
 
| Photographs, Artwork, Textures, Anything really - Tried out a new pixel loss idea based on ensuring the HR downscaled matches the LR. Colors are pretty good as well as edges, but generated details seem slightly fuzzy hence the name.
 
| RRDB_ESRGAN_x4
 
|
 
|-
 
 
 
 
 
| [https://drive.google.com/u/1/uc?id=10h8YXKKOQ61ANnwLjjHqXJdn4SbBuUku&export=download Lollypop]
 
| |[[User:LyonHrt|LyonHrt]]
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| General upscaler
 
| 2020-09-11
 
| A universal model, that is aimed at prerendered images, but handles realistic faces, manga, pixel art and dedithering as well. Trained using the patchgan discriminator, with cx loss, cutmixup and frequency separation, it produces good results with a slight grain due to patchgan, with some sharpening using cutmixup.
 
| 4X_esrgan.pth
 
|
 
|-
 
 
 
 
 
 
 
| [https://drive.google.com/drive/u/1/folders/15dV3rhMcq_LXg5Vrn7DG6lwo4M6cXt6C UniversalUpscalerV2]
 
| |[[User:Mutin_Choler|Mutin_Choler]]
 
| 4x
 
| WTFPL
 
| ESRGAN
 
| General Upscaler
 
| 2021-04-01
 
| General Upscaler
 
| 1xESRGAN
 
| https://imgsli.com/NDc3ODA/2/1
 
|-
 
 
 
 
 
| [https://icedrive.net/1/43GNBihZyi NMKD Siax ("CX")]
 
| |[[User:nmkd|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===
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://mega.nz/file/STI3kIKJ#mr3PqAu35SI9yGHWUdCJsXm2kai1R1SrsYsBafyH-Vo 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
 
| [https://cdn.discordapp.com/attachments/579685650824036387/888256099986321408/5.png Sample 1]
 
|-
 
 
 
| [https://drive.google.com/file/d/1KToK9mOz05wgxeMaWj9XFLOE4cnvo40D/view 4x_Box]
 
| buildist
 
| 4x
 
| [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]
 
| ESRGAN
 
| Realistic Photos
 
| 2019-06-20
 
| RRDB_ESRGAN_x4 replacement for stuff that's supposed to look realistic.
 
| none
 
|-
 
 
 
| [https://drive.google.com/file/d/1d89zvzC6BKf5EKapBtc4MH2DX5GClKzl/view Nickelback]
 
| |[[User:BlackScout|BlackScout]]
 
| 4x
 
| [https://www.gnu.org/licenses/gpl-3.0.en.html 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
 
|
 
|-
 
 
 
| [https://drive.google.com/file/d/1GL0OjGPsMwSmCr_FmkqtRjZu2IM0s019/view NickelbackFS]
 
| |[[User:BlackScout|BlackScout]]
 
| 4x
 
| [https://www.gnu.org/licenses/gpl-3.0.en.html 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
 
|
 
|-
 
 
 
| [https://icedrive.net/1/43GNBihZyi 4x NMKD Superscale]
 
| |[[User:nmkd|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===
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://drive.google.com/open?id=1LFd4BqZ2N8p21JzjLX6hGdm7RpVIkH7s 4x_xbrz_90k]
 
| LyonHrt
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
 
| ESRGAN
 
| Pixel Art
 
| 2019-06-05
 
| Xbrz style pixel art upscaler
 
| 4xPSNR
 
|
 
|-
 
 
 
| [https://drive.google.com/u/1/uc?id=1WXJQzqVGTKaX_8_Ma1hJ45W5nUkZBGFu&export=download Rebout]
 
| LyonHrt
 
| 4x
 
| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Pixel Art/Sprites
 
| 2019-08-04
 
| For upscaling character sprites
 
| Detoon
 
|
 
|-
 
 
 
 
 
| [https://drive.google.com/u/1/uc?id=1h-bY4gq_61sRF_xK3F4OiVK1cWRX0Q9w&export=download Rebout Blend]
 
| |[[User:LyonHrt|LyonHrt]]
 
| 4x
 
| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Pixel Art/Sprites
 
|
 
| Dataset: Custom prepared sprites from kof 94 rebout, which with gradients blending
 
| Detoon
 
|
 
|-
 
 
 
 
 
| [https://u.pcloud.link/publink/show?code=kZ4WthXZDDnqbo4Hye8zBgCkhgbbQf3WXT27 Arzenal (v1.1)]
 
| ComputerK
 
| 8x
 
| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Pixel Art
 
|
 
| Smooth general pixel art, Minecraft textures
 
| [https://nmkd.de/?esrgan-list Interpolated from nmkd's pixel art upscaling models with different interpolation settings and de-dithered versions]
 
|
 
|-
 
 
 
| [https://drive.google.com/open?id=1jE2le5Lsab-AcMUMm0Zr9L-OvFNhnRAG 4x_scalenx_90k]
 
| LyonHrt
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
 
| ESRGAN
 
| Pixel Art
 
| 2019-06-15
 
| Scalenx style pixel art upscaler
 
| 4xPSNR
 
|
 
|-
 
 
 
| [https://drive.google.com/open?id=1h5YufgcS1jbCdqwsw7dye0DvLj3kIfox 4x_xbrz+dd_260k]
 
| LyonHrt
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
 
| ESRGAN
 
| Pixel Art
 
| 2019-06-17
 
| xbrz plus dedithering style pixel-art upscaling model to wiki under specialised
 
| 4x_xbrz_90k
 
|
 
|-
 
 
 
 
 
| [https://1drv.ms/u/s!Aip-EMByJHY20xsc9EvnxVZ50Ja7 Lady0101_208000.pth]
 
| DinnJerr
 
| 4x
 
|
 
| ESRGAN
 
| Pixel Art/Paintings
 
| 2019-07-25
 
| Upscale pixel art/paintings to digital painting style
 
| WaifuGAN_v3_30000.pth
 
|
 
|-
 
 
 
 
 
 
 
| [https://de-next.owncube.com/index.php/s/LQSgW98ZeaoA3Po Fatality (4x_Fatality_01.pth)]
 
| [[User:twittman|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
 
|
 
|-
 
 
 
 
 
| [https://de-next.owncube.com/index.php/s/bT8nHoK4oD2MjoH Fatality MK2 (4x_Fatality_MKII_90000_G.pth)]
 
| [[User:twittman|twittman]]
 
| 4x
 
|
 
| ESRGAN
 
| Pixel Art/Sprites
 
|
 
| Dataset: Anime, Manga and some real life
 
| A previously attempted MK2
 
|
 
|-
 
 
 
 
 
| [https://de-next.owncube.com/index.php/s/KRa4bDzZpAGgyWr Fatal Pixels (4x_FatalPixels_340000_G.pth)]
 
| [[User:twittman|twittman]]
 
| 4x
 
|
 
| ESRGAN
 
| Pixel Art/Sprites
 
|
 
| Dataset: Anime, Manga
 
| Fatality_MKII_90k
 
|
 
|-
 
 
 
 
 
| [https://drive.google.com/open?id=1BzT-KwUBiZzACxGdIN6w930aOVvvfhg7 Faithful 2x]
 
| Joey
 
| 2x
 
| CC-BY-NC 4.0
 
| ESRGAN
 
| Pixel Art
 
| 2019-09-08
 
|
 
| 2xESRGAN
 
|
 
|-
 
 
 
 
 
| [https://drive.google.com/file/d/114yFJKeYCcr6st7aNNo9FJ8wDbEzLpdz/view?usp=sharing deviantPixelHD]
 
| raulsangonzalo
 
| 4x
 
| You're free to use this model for all non-commercial projects and interpolation, please give credit if featured in any projects
 
| ESRGAN
 
| Pixel Art
 
| 2019-09-09
 
| Similar to Manga109, can be used as a general digital upscaler as well as with pixel art
 
| RRDB_PSNR_x4
 
| https://www.youtube.com/channel/UCwBfuiHdSPQ-zslOmiW8OHg
 
|-
 
 
 
| [https://drive.google.com/file/d/1hLhsp3aKurLys4cALQiEkYxyxGWNf1ET/view?usp=drivesdk 4x_BS_Deviance]
 
| systemd-resolved/BlackScout
 
| 4x
 
| GNU GPLv3
 
| ESRGAN
 
| 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
 
|
 
|-
 
 
 
 
 
| [https://drive.google.com/open?id=1Uc9RUc2YpZKpPoGQeGxNUb3Ro-U720cH 4xSmoothRealism]
 
| Joey
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc/4.0/ 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
 
|
 
|-
 
 
 
| [https://1drv.ms/u/s!Aip-EMByJHY26nuB0Lo0rdirfGoi?e=XI9Fa2 8x_HugePeeps_v1]
 
| DinJerr
 
| 8x
 
|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
 
| ESRGAN
 
| Art/People
 
| 2020-06-16
 
| Painted humans
 
| TGHQFace8x
 
|
 
|-
 
 
 
| [https://1drv.ms/u/s!Aip-EMByJHY27CHg3-1Uue5KgbtK?e=6k0COU BigFace_v3_Clear]
 
| DinJerr
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
 
| ESRGAN
 
| Art/People
 
| 2020-07-22
 
|
 
| 4x_BigFace
 
|
 
|-
 
 
 
| [https://drive.google.com/file/d/1OVqM2D-T5meRBCdFjsGVl0bgQZd8kZe5/view?usp=drivesdk 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
 
|
 
|-
 
 
 
| [https://drive.google.com/file/d/1OVqM2D-T5meRBCdFjsGVl0bgQZd8kZe5/view?usp=drivesdk 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
 
|
 
|-
 
 
 
 
 
| [https://drive.google.com/file/d/1RhEkTYy-1DxJP2ynLW5NSrz6BjVMy8xx/view 4x_Struzan]
 
| Laserschwert
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Art
 
| 2020-10-12
 
| Upscaling airbrush/pencil-based artwork
 
| 4xPSNR
 
| https://drive.google.com/drive/folders/1fyeIWInDrM6r-xxrCW4U09oafWw08u9S?usp=sharing
 
|-
 
 
 
 
 
| [https://drive.google.com/drive/u/1/folders/1C82o6p9jXzOZIZtMHeVXFW8BYV0s10FA 4x_PixelPerfectV4_137000_G]
 
| Mutin Choler
 
| 4x
 
| WTFPL
 
| ESRGAN
 
| Pixel Art/Sprites
 
| 2020-11-16
 
| Sprite Upscaler
 
| 4xESRGAN
 
| https://imgsli.com/MzgxMTc/1/2
 
|-
 
 
 
| [https://1drv.ms/u/s!Aip-EMByJHY200v-vXPezsCsUd5T?e=r7mBNn BigFArt]
 
| DinJerr
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
 
| ESRGAN
 
| Pixel art
 
| 2020-15-31
 
| Larger-scaled pixels to digital painting
 
| Face Focus
 
|
 
|-
 
 
 
 
 
| [https://u.pcloud.link/publink/show?code=kZPTiBXZPnCIVsFUmrpu4NY1sKfKw8Pyw6rk MS Unpainter]
 
| FoolhardyVEVO
 
| 8x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
 
 
| [https://u.pcloud.link/publink/show?code=kZPTiBXZPnCIVsFUmrpu4NY1sKfKw8Pyw6rk MS Unpainter De-Dither]
 
| FoolhardyVEVO
 
| 8x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
 
 
| [https://1drv.ms/u/s!Aip-EMByJHY22BhfdJ1Epkfc3ugq?e=yVfXkz UltraFArt_v3 / FArtDIV3 Suite]
 
| DinJerr
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|-
 
 
 
| [https://drive.google.com/drive/folders/1mYTMpwDlKQulBmjgKpcxL3-T6xAGXVxl?usp=sharing NXbrz]
 
| Archerpolation
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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====
 
 
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
 
 
|-
 
| [https://drive.google.com/open?id=1H3F8OVBnK2cd5NjbCyc3tGwTZJBF1gk7 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
 
|
 
|-
 
 
 
|-
 
| [https://drive.google.com/file/d/1DRyqqy24OU6G_mwsGjy6Zaxan_Fy1LNU/view?usp=sharing 600k] [https://drive.google.com/file/d/1psKp2DLWscPmDuzSTC8XqXL0LWnWuTYs/view?usp=sharing 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
 
| [https://cdn.discordapp.com/attachments/579685650824036387/913500929012150323/4f012e36d686033b274261295da89b32-comparison.jpg Sample 1] [https://cdn.discordapp.com/attachments/579685650824036387/913500929356070912/256x256fdbb-comparison.jpg Sample 2] [https://cdn.discordapp.com/attachments/579685650824036387/913500929649688617/franky-super-810x456-comparison.jpg Sample 3]
 
|-
 
 
 
|-
 
| [https://drive.google.com/file/d/1FWzEgqaSg2z0qOSjcmAxEUB3clEkm1PG/view 2x_Byousoku_5_Centimeter.pth]
 
| Mystery_Bullet#0642 (Shady Adel)
 
| 2x
 
| [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]
 
| ESRGAN
 
| Anime/Pretrained
 
| 2020-04-08
 
| Anime landscape upscale. Trained on Frames from BluRay of Byousoku 5 Centimeter
 
| [https://mega.nz/#!vtgSWKQT!K7Asn2zKe4N70R2aV89KEMTKhH3aiyGAAiuQDJF09qs 2xESRGAN]
 
|
 
|-
 
 
 
| [https://1fichier.com/?tsmmdifzgwkwtdfcc5uo 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
 
 
 
|
 
|-
 
| [https://www23.zippyshare.com/v/lhOStpVa/file.html 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/
 
|-
 
 
 
| [https://1fichier.com/?u7kwdxdn6uljha3icte8 4x_OLDIES_ALTERNATIVE_FINAL.pth]
 
| solidd93110
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|-
 
 
 
| [https://1fichier.com/?cnw3fwws08tdoaxycimj 2x_SHARP_ANIME_V1]
 
| solidd93110
 
| 2x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|-
 
 
 
| [https://s.katou.pw/4x_MeguUp_150000_G.pth MeguUp]
 
| /katoumegumi_#3231
 
|
 
| [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3].
 
| ESRGAN
 
| Anime
 
| 2020-09-16
 
| Upscaling of lossless (uncompressed) anime art.
 
| interpolated - SYNLA: |[[User:LyonHrt|LyonHrt]] (bloc97 dataset, MIT license). Fatal Pixels, Fatality Anime: Twittman (CC BY-NC-SA 4.0, acquired special permission to relicense. https://s.katou.pw/Discord_dPUiI1x3Pf.png). Deviance: |[[User:BlackScout|BlackScout]] ([https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3])
 
 
 
|
 
|-
 
 
 
 
 
| [https://icedrive.net/1/43GNBihZyi NMKD UltraYandere]
 
| |[[User:nmkd|Nmkd]]
 
| 4x
 
| WTFPL
 
| ESRGAN
 
| Art/Anime
 
| 2020-10-08
 
| Highly flexible 2D Art upscaling
 
| 4xESRGAN
 
 
 
|
 
|-
 
 
 
| [https://icedrive.net/1/43GNBihZyi NMKD UltraYandere Lite]
 
| |[[User:nmkd|Nmkd]]
 
| 4x
 
| WTFPL
 
| ESRGAN Lite [nf=32 nb=12]
 
| Anime
 
| 2020-10-15
 
| Fast Anime/Art upscaling
 
| 4x_DIV2K-Lite
 
 
 
|
 
|-
 
 
 
| [https://www115.zippyshare.com/v/O2do1VCf/file.html 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
 
|-
 
 
 
 
 
| [https://1fichier.com/?020t1y83kjrusd95dh0a 2x_SHARP_ANIME_V2]
 
| solidd93110
 
| 2x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Anime
 
| 2020-12-09
 
| 2x_PSNR.pth
 
|
 
| https://imgsli.com/MzI0MDk
 
|-
 
 
 
| [https://1fichier.com/?23hzkj20isef5b75cw3y 2x_BIGOLDIES_415000_G.pth]
 
| solidd93110
 
| 2x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|-
 
 
 
 
 
| [https://icedrive.net/1/f0UAiRqz3N NMKD YandereNeo]
 
| |[[User:nmkd|Nmkd]]
 
| 2x
 
| WTFPL
 
| ESRGAN (Lite)
 
| Anime
 
| 2021-01-26
 
|
 
|
 
| https://i.imgur.com/oxs71v5.png
 
 
 
 
 
|-
 
| [https://icedrive.net/1/f0UAiRqz3N NMKD YandereNeo]
 
| |[[User:nmkd|Nmkd]]
 
| 4x
 
| WTFPL
 
| ESRGAN (Lite)
 
| Anime
 
| 2021-01-26
 
|
 
| 4x_DIV2K-Lite_1M
 
| https://i.imgur.com/oxs71v5.png
 
|-
 
 
 
| [https://u.pcloud.link/publink/show?code=XZRAmuXZRy3vkvvBdTftheNOFeJ0tLLv74eX 2x_Waifaux-NL3-SuperLite]
 
| Joey
 
| 2x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
 
 
| [https://u.pcloud.link/publink/show?code=XZPLWuXZbQz9nPrUhlytIN0ne4UjyzQRMHmX 2x_Waifaux-NL3-SRResNet]
 
| Joey
 
| 2x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
 
 
| [https://u.pcloud.link/publink/show?code=kZcUlBXZ9egcFjtf3cjX02lDqNAr5j4l3jFX 4x_Training4Melozard_Anime]
 
| Joey
 
| 4x
 
| Whatever @B.Melozard2 wants
 
| ESRGAN
 
| Anime
 
| 2021-03-17
 
|
 
| RRDB_ESRGAN_x4_old_arch
 
|
 
|-
 
 
 
| [https://drive.google.com/file/d/18iWj4eWiMfUd2WyLCEzMlZK1JVT7L8nT/view?usp=sharing 2x_LD-Anime_Skr_v1.0]
 
| Skr
 
| 2x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Denoise/Dehalo
 
| 2021-04-17
 
| Denoise, dehalo, derainbow old anime
 
| 2xESRGAN
 
| https://imgsli.com/NTA3MDU/
 
|-
 
 
 
| [https://drive.google.com/drive/u/4/folders/19IQNM5Vo5vGcoKaRJaRrLScfxBbFBVff 2x_KemonoScale_v2]
 
| EzoGaming
 
| 2x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|-
 
 
 
| [https://s.katou.pw/4x_muy4_035_1.pth 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)
 
|-
 
 
 
| [http://www.mediafire.com/file/w3jujtm752hvdj1/Manga109Attempt.pth.zip/file Falcon Fanart]
 
| |[[User:LyonHrt|LyonHrt]]
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Anime
 
| not on discord
 
|
 
| 4xPSNR
 
|
 
|-
 
|}
 
 
 
====Manga====
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://drive.google.com/file/d/1uraeNuUPx46HKZ77xUI1PCBBoH-LhikY/view?usp=sharing FSMangaV2]
 
| Jacob_
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|-
 
 
 
| [https://mega.nz/file/nR51EYYC#RcAKkxb8hAzvZAj4TLxnAukd9gbrYuUeyjUp2l1ffb8 MangaScaleV3]
 
| Bunzero++
 
| 2x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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====
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
|-
 
 
 
 
 
|-
 
| [https://u.pcloud.link/publink/show?code=kZy6TKXZruJNkiysJ3R2fqxMra9RQQquMczV 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
 
| [https://u.pcloud.link/publink/show?code=kZy6TKXZruJNkiysJ3R2fqxMra9RQQquMczV Examples]
 
|-
 
 
 
|-
 
| [https://drive.google.com/file/d/1dT7Pw0iwPkQC4-rWriibrVLuA3KS3pS4/view SpongeBob]
 
| Joey
 
| 4x
 
| CC-BY-NC 4.0
 
| ESRGAN
 
| Animation
 
| 2019-09-12
 
|
 
| 4xESRGAN
 
|
 
|-
 
 
 
|-
 
| [https://drive.google.com/file/d/1qoiIvjMuazD6MCw_aZ5pEPESA6Pi03oM/view 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
 
|
 
|-
 
 
 
| [https://drive.google.com/open?id=1geNLDAnQzLadMvvoRLhVy4MXhQf5t8JP 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
 
|
 
|-
 
 
 
| [https://drive.google.com/open?id=1HFA1e75QvdostGAZVPBxFHtkiru5gLPa 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
 
|
 
|-
 
 
 
| [https://drive.google.com/open?id=1NHuNF36dp_myvPH__IesJ5x6GuppUwS6 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
 
|
 
|-
 
 
 
| [https://drive.google.com/open?id=1D3AjglmYlQ2HGda7iw4JXckSGbVBqsQr 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
 
|
 
|-
 
 
 
| [https://u.pcloud.link/publink/show?code=kZ8f9HXZaNaKIDTqP9YPl33NGlz7VmaA3kqV 1x_SpongeBC1-Lite]
 
| Joey
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
 
 
| [https://u.pcloud.link/publink/show?code=kZh614XZIyy5JlX7rFm4d3HJJTBovbSz3ycy 4x_SpongeBob-Reloaded]
 
| Joey
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Animation, Pixel Art
 
| 2020-12-11
 
|
 
| 4xSpongeBob
 
|
 
|-
 
| [https://u.pcloud.link/publink/show?code=kZh614XZIyy5JlX7rFm4d3HJJTBovbSz3ycy 4x_SpongeBob-Reloaded-SWAG]
 
| Joey
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Animation, Pixel Art
 
| 2020-12-11
 
|
 
| 4xSpongeBob
 
|
 
|-
 
 
 
| [https://mega.nz/file/vOwmULKK#nFznUd8ZY3-P0x9_63OyYE8eZifmTvZqDejIrMBXJtk 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
 
|-
 
 
 
| [https://mega.nz/file/La5AQCKb#aXvqZE9ZhlImJICJ8DRGI9CZfdtL9J9quQvoRmYFan0 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
 
|-
 
 
 
|-
 
| [https://mega.nz/folder/zUJjnCoB#_zK3vs5iW6atyElO735XDA 2x-UniScale_CartoonRestore-lite]
 
| [[User:Kim2091|Kim2091]]
 
| 2x
 
| CC BY-NC-SA 4.0
 
| ESRGAN
 
| Animation, Pixel Art
 
| 2021-08-31
 
| This model has VERY strong compression removal and line restructuring that allows it to restore any heavily compressed drawings, animation, cartoons, or anime. Also works on games as well as DDS compression. It renders frames very quickly and is very viable for restoring videos.
 
| 4x-MMScale
 
| Comparisons:
 
https://cdn.discordapp.com/attachments/880826637543964712/882136618461458462/unknown.png
 
https://cdn.discordapp.com/attachments/880826637543964712/882136455999262750/unknown.png
 
https://cdn.discordapp.com/attachments/880826637543964712/882136979410673684/unknown.png
 
https://cdn.discordapp.com/attachments/649861104645701637/882121519973666886/unknown.png
 
https://cdn.discordapp.com/attachments/649861104645701637/882124248368427078/unknown.png
 
Video Example:
 
https://cdn.discordapp.com/attachments/880826637543964712/882110147676221480/Spongebob_UniScale_CartoonRestore.mp4
 
Original for comparison: https://cdn.discordapp.com/attachments/547949806761410560/881971445813633044/Spongebob_Original.mp4
 
|-
 
 
 
| [https://www108.zippyshare.com/v/PYWFtETd/file.html 2x_ATLA_KORRA_336200_G.pth]
 
| aptitude
 
| 2x
 
|
 
| ESRGAN
 
| Animation
 
| 2021-07-22
 
| Upscaling of Animation based on The Legend of Korra.
 
| 2xESRGAN.pth
 
| https://imgsli.com/NjIzMzU https://imgsli.com/NjIzMTY https://imgsli.com/NjIzMTc https://imgsli.com/NjIzMTg https://imgsli.com/NjIzMTk https://imgsli.com/NjIzMjA https://imgsli.com/NjIzMjE https://imgsli.com/NjIzMjQ https://imgsli.com/NjIzMjc https://imgsli.com/NjIzMjY https://imgsli.com/NjIzMjU
 
|-
 
 
 
 
 
|}
 
 
 
====Digital Animation====
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://u.pcloud.link/publink/show?code=XZQlqjXZPNgmLRJl5HLLG0M3VRmzmzmHr5hk 4x_DigitalFake-2.1]
 
| Joey
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
 
 
| [https://mega.nz/folder/QsUWWJjb#SIuqcPEzrkpLW0WNSth66g 4X_KCJPUNK_1.0233089 G.pth]
 
| KCJPUNK
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Digital Animation
 
| 2021-03-23
 
| Up-scaling Digital Animation
 
| 4x_fatal_Anime_500000_G
 
|
 
|-
 
 
 
| [https://mega.nz/folder/4oVRHQaA#vE3Lplfetc9z9SJOxZD6nA 2X_KcjpunkAnime_2.0_Lite_196496_G]
 
| KCJPUNK
 
| 2x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN-light
 
| Digital Animation
 
| 2021-03-23
 
| Up-scaling Digital Animation
 
| This is my first attempt to make Light model so I started with 2x version. This model is much faster and give better results than my previous one.
 
|
 
|-
 
|}
 
 
 
====Drawings====
 
 
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
 
 
|-
 
| [https://www.dropbox.com/s/52hsqa7ymt5pgga/KDM003_scans_1x.pth 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
 
|
 
|-
 
 
 
|-
 
| [https://drive.google.com/open?id=103MX2bvd3GW0MYpC53ABU5VYY6v1t99Y DigiPaint]
 
| Rastrum
 
| 4x
 
| CC0
 
| ESRGAN
 
| Art
 
| 2019-09-07
 
| Digital Art Upscaler
 
| 4xfalcoon300(manga).pth
 
|
 
|-
 
|}
 
 
 
====General Animation====
 
 
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://drive.google.com/file/d/1i68bWo7xh3JPFIO-zLv9UMD72E-5xNr_/view American Dad 2 (American.Dad.2.HD.150ki.5e-PHOENiX.pth)]
 
| PHEONiX (?)
 
| 4x
 
|
 
| ESRGAN
 
| Animation
 
|
 
| American Dad
 
|
 
|
 
|-
 
 
 
|-
 
| [https://de-next.owncube.com/index.php/s/jYnFtncarkBmpcF FatalimiX]
 
| |[[User:Twittman|Twittman]]
 
| 4x
 
| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0] (?)
 
| ESRGAN
 
| Animation
 
| 2019-10-29
 
| Comic and Cartoon style images
 
| 4x_Fatality_MKII_90000_G_02.pth
 
|
 
|-
 
 
 
|-
 
| [https://drive.google.com/open?id=1qjpxp8z4FGLZxieUDEVKd6FDum-8vpvJ Comic Book]
 
| |[[User:LyonHrt|LyonHrt]]
 
| 4x
 
| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Animation
 
|
 
| Comic / Drawings. Trained on Custom (Spider-Man) dataset 
 
| none (no interpolation)
 
|
 
|-
 
 
 
|-
 
| [https://de-next.owncube.com/index.php/s/x99pKzS7TNaErrC Fatal_Anime]
 
| |[[User:Twittman|Twittman]]
 
| 4x
 
| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0] (?)
 
| ESRGAN
 
| Animation
 
|
 
| Trained on Anime and Manga images
 
| none (no interpolation)
 
|
 
|-
 
 
 
|-
 
| [https://1drv.ms/u/s!Aip-EMByJHY26wU-wOqApp7Hu7tt?e=4ihnBr HugePaint]
 
| |[[User:DinJerr|DinJerr]]
 
| 8x
 
| [https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
 
| ESRGAN
 
| Digital Illustrations
 
|
 
| Trained on a variety of images from ArtStation
 
| HugePeeps
 
|
 
|-
 
 
 
|-
 
| [http://cloud.mitch.best/index.php/s/iio9SL9BdgWiCoi 4x_AbeScale]
 
| |[[User:mitch#1337|mitch#1337]]
 
| 4x
 
| GNU
 
| ESRGAN
 
| Linework Cartoons
 
|
 
| Dataset: LR: Clone High DVD, HR: Re-illustrated Vectors from Frames
 
| [https://mega.nz/#!uhAVEaAA!qfwIQ44Ba3rXMAb2-M3aM3zFBCwzmyQ64IO_0O-csJE 4xESRGAN]
 
|
 
|-
 
 
 
|-
 
| [https://mega.nz/file/9dJFjYrT#LY4Op8myZGJsh6ytUvF6ITVGXpx8XODN_AG-kzvWg4Y 2x_Loyaldk-SuperPony_370000 V1.0]
 
| ChaseMMD
 
| 2x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|-
 
 
 
|-
 
| [https://mega.nz/file/RYxGEKRL#nTe0Zy2gB9e9QF5T8UhJSla1oEPQjSCXAB0BpNrTrRk 2x_Loyaldk-LitePony_380500 V1.0]
 
| ChaseMMD
 
| 2x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Animation
 
| 2021-03-01
 
| Upscale MLP episodes. Liter version.
 
| 2x_ESRGAN
 
|
 
|-
 
 
 
|-
 
| [https://mega.nz/file/VM5WmLwb#QvO1n6w6llYRh8qauXXkXy4tElrBCwclCl5VHM3IH8M 2x_Loyaldk-LitePony_500000_V2.0]
 
| ChaseMMD#6957
 
| 2x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
 
 
|-
 
| [https://mega.nz/file/YMwm0TbZ#agDBMDkswkpMM7FE1tDRlGX4zIOE4D0WBzcWudkN7Mc 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
 
|
 
|-
 
 
 
|-
 
| [https://mega.nz/file/hcoViIQQ#O1cmQ8FsLk5RAIP5lxB3Q2L0suh9IWX_dGHhuSuL9U4 4x_Loyaldk-LitePony_500000_V2.0]
 
| ChaseMMD
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
 
 
|-
 
| [https://mega.nz/file/IBhElRYJ#C_lVc8Vr2q8X6hEltJKD6I63U7oL_FDLeJgPh72AZmg 2x_Loyaldk-SuperPony_500000_V2.0]
 
| ChaseMMD
 
| 2x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
 
 
|-
 
| [https://mega.nz/file/BMhUCbJZ#kYz0wvc26RW0n0f8AUXekW_ZCuRamKmh2-iWf1eefn0 4x_Loyaldk-SuperPony_500000_V2.0]
 
| ChaseMMD
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
 
 
|-
 
| [https://mega.nz/file/lYo01DRI#HIiJ7M5YaXjwAb3zEbtSLzAI59iljwEX72Ad88CvUf0 4x_Loyaldk-MediumPony_500000_V2.0]
 
| ChaseMMD
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
 
 
|-
 
| [https://mega.nz/folder/5UAlQCRJ#2Bj1lq8PYeB3P9k5UKSvkQ Platoon Model Set]
 
| ChaseMMD
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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====
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://cdn.discordapp.com/attachments/579685650824036387/812414843939455036/2X_DigitalFilmV5_Lite.pth 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
 
|-
 
 
 
| [https://mega.nz/file/GFFkSL5R#C-dDxaxTZpSPUh_heAUw_idGIF8Xizdr0ktyGi05yFk 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=====
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
|[https://drive.google.com/drive/folders/1HWokMsUwsR_Mw-NOJgc8OdS8mkdIje_C JPG (20-40%)]
 
| |[[User:BlueAmulet|BlueAmulet]]
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
 
| ESRGAN
 
| JPEG
 
|
 
|
 
| Trained on Custom (CC0 Textures)
 
| JPEG models by Alsa
 
|-
 
 
 
 
 
|[https://drive.google.com/drive/folders/1HWokMsUwsR_Mw-NOJgc8OdS8mkdIje_C JPG (40-60%)]
 
| |[[User:BlueAmulet|BlueAmulet]]
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
 
| ESRGAN
 
| JPEG
 
|
 
|
 
| Trained on Custom (CC0 Textures)
 
| JPEG models by Alsa
 
|-
 
 
 
|[https://drive.google.com/drive/folders/1HWokMsUwsR_Mw-NOJgc8OdS8mkdIje_C JPG (60-80%)]
 
| |[[User:BlueAmulet|BlueAmulet]]
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
 
| ESRGAN
 
| JPEG
 
|
 
|
 
| Trained on Custom (CC0 Textures)
 
| JPEG models by Alsa
 
|-
 
 
 
 
 
| [https://drive.google.com/drive/folders/1HWokMsUwsR_Mw-NOJgc8OdS8mkdIje_C JPG (80-100%)]
 
| |[[User:BlueAmulet|BlueAmulet]]
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
 
| ESRGAN
 
| JPEG
 
|
 
|
 
| Trained on Custom (CC0 Textures)
 
| JPEG models by Alsa
 
|-
 
 
 
 
 
|[https://mega.nz/#!OzpFHYAD!0swA_J18bSygyVgMHac3P4kkBx6ZYUHNnL9qXhiu-9I JPG (20-40%)]
 
| |[[User:Alsa|Alsa]]
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/  CC BY-NC-SA 4.0]
 
| ESRGAN
 
| JPEG
 
|
 
|
 
| Trained on Custom (Photos / Manga)
 
|
 
|-
 
 
 
 
 
|[https://mega.nz/#!Kr5Q1C7C!yq4910SjvAyMS_40IhrOsShA21OXdP8rxfiMsEuYbW8 JPG (40-60%)]
 
| |[[User:Alsa|Alsa]]
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/  CC BY-NC-SA 4.0]
 
| ESRGAN
 
| JPEG
 
|
 
|
 
| Trained on Custom (Photos / Manga)
 
|
 
|-
 
 
 
 
 
|[https://mega.nz/#!6j4RRQBD!3CX7XN9ZEAeWR3aXBAsDRpxSfKbM8zR1N9GXgbP38Ig JPG (60-80%)]
 
| |[[User:Alsa|Alsa]]
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/  CC BY-NC-SA 4.0]
 
| ESRGAN
 
| JPEG
 
|
 
|
 
| Trained on Custom (Photos / Manga)
 
|
 
|-
 
 
 
 
 
| [https://mega.nz/#!2uxwRYYT!2KgAsRac70jqYYXyOvQ5HSd4ipoqC0WGB4Md2Su_OM8 JPG (80-100%)]
 
| |[[User:Alsa|Alsa]]
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/  CC BY-NC-SA 4.0]
 
| ESRGAN
 
| JPEG
 
|
 
|
 
| Trained on Custom (Photos / Manga)
 
|
 
|-
 
 
 
| [https://icedrive.net/1/43GNBihZyi 4x NMKD-PatchySharp]
 
| nmkd
 
| 4x
 
| WTFPL
 
| ESRGAN (Old Arch)
 
| Art/CGI
 
| 2020-09-12
 
| Upscaler for clean images or images with compression artifacts (jpeg quality >75) - Produces very sharp lines/edges due to NN-Filtered HR images. Proven to produce very, very good results on drawings (sharp lines) and CGI, but should also work pretty well for real-world images.
 
| 4xESRGAN
 
| https://i.imgur.com/PzFkmAg.png
 
|-
 
 
 
 
 
| [https://drive.google.com/open?id=1HWokMsUwsR_Mw-NOJgc8OdS8mkdIje_C 1x_JPEG (by compression level)]
 
| |[[User:BlueAmulet|BlueAmulet]]
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc/4.0/ 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
 
| JPEG models by |[[User:Alsa|Alsa]]
 
| https://drive.google.com/open?id=1HWokMsUwsR_Mw-NOJgc8OdS8mkdIje_C
 
|-
 
 
 
 
 
| [https://de-next.owncube.com/index.php/s/w82HLrLWmWi4SQ5 DeJpeg Fatality_PlusULTRA!]
 
| |[[User:Twittman|Twittman]]
 
| 1x
 
| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0] (?)
 
| ESRGAN
 
| JPEG
 
| 2019-10-29
 
|
 
| 1x_DeJpeg_Fatality_01_200000_G.pth
 
|
 
|-
 
 
 
 
 
| [https://mega.nz/folder/zUJjnCoB#_zK3vs5iW6atyElO735XDA DeCompress and DeCompress-Strong]
 
| |[[User:Kim2091|Kim2091]]
 
| 4x
 
| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| JPEG (works on many compression formats)
 
| 2021-09-07
 
| 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
 
|-
 
 
 
 
 
| [https://de-next.owncube.com/index.php/s/w82HLrLWmWi4SQ5 JPG PlusULTRA (1x_jpg_PlusULTRA_130000.pth)]
 
| |[[User:Twittman|Twittman]]
 
| 1x
 
| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0] (?)
 
| ESRGAN
 
| JPEG
 
| 2019-10-29
 
|
 
| 1x_DeJpeg_Fatality_01_200000_G.pth
 
|
 
|-
 
 
 
 
 
| [https://f002.backblazeb2.com/file/ESRGAN/_RELEASE/1x_Saiyajin_DeJPEG_300000_G.pth SaiyaJin DeJpeg]
 
| |[[User:Twittman|Twittman]]
 
| 1x
 
| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0] (?)
 
| ESRGAN
 
| JPEG
 
| 2019-10-29
 
| Dataset: Anime, real life, manga, generated
 
| 1x_DeJpeg_Fatality_PlusULTRA_200000_G.pth
 
|
 
|-
 
 
 
| [https://drive.google.com/file/d/1C0Lnn3PfXrm4UX9trjQIWsmxtspjQjmm/view?usp=drivesdk 1x_JPEGDestroyer]
 
| |[[User:BlackScout|BlackScout]]
 
| 1x
 
| [https://www.gnu.org/licenses/gpl-3.0.en.html 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
 
|
 
|-
 
 
 
| [https://drive.google.com/file/d/17k72r01xTkeOzqsaYCN6ZqnAktKqTLyw/view?usp=sharing 4xJaypeg90]
 
| Jacob
 
| 4x
 
| [https://www.gnu.org/licenses/gpl-3.0.en.html 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
 
|-
 
 
 
| [https://u.pcloud.link/publink/show?code=kZvfeFXZMyUSYScxAizUmTKjax0JQzTk9Gfk 1x_SBDV-DeJPEG-Lite]
 
| Joey
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN (lite)
 
| JPEG compression
 
| 2020-10-10
 
|
 
| 1x_DIV2K-Lite_80k.pth
 
|
 
|-
 
 
 
| [https://icedrive.net/1/43GNBihZyi NMKD Jaywreck3 & Jaywreck3-Soft (Lite)]
 
| |[[User:nmkd|Nmkd]]
 
| 1x
 
| WTFPL
 
| ESRGAN Lite [nf=32 nb=12]
 
| JPEG compression
 
| 2020-10-13
 
| 1xESRGAN
 
| 1xESRGAN
 
|
 
|-
 
 
 
| [https://mega.nz/folder/fAg21TRI#kBk0synXgNqTGaXiW6nSZA MangaJPEG]
 
| Bunzero++
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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=====
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
|-
 
 
 
|-
 
| [https://drive.google.com/open?id=11nMqVF9sUN2jRRagYc3wdWNX5acEy0MJ SS Anti Alias 9x]
 
| |[[User:BlueAmulet|BlueAmulet]]
 
| 1x
 
| [https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
 
| ESRGAN
 
| Anti aliasing
 
|
 
| Dataset: Custom (9x Supersampling AA)
 
| none (no interpolation)
 
|
 
|-
 
 
 
|-
 
| [https://de-next.owncube.com/index.php/s/mmYCcK4H3rQQR5Y Anti Aliasing]
 
| |[[User:Twittman|Twittman]]
 
| 1x
 
| [https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
 
| ESRGAN
 
| Anti aliasing / Images with pixelated edges
 
|
 
| Dataset: Custom (?)
 
| none (no interpolation)
 
|
 
|-
 
 
 
|}
 
 
 
=====GIF=====
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
|-
 
| [https://icedrive.net/1/43GNBihZyi DeGif]
 
| |[[User:nmkd|nmkd]]
 
| 2x
 
| WTFPL
 
| ESRGAN
 
| GIF Restoration
 
|
 
| GIF Restoration
 
| [https://mega.nz/#!vtgSWKQT!K7Asn2zKe4N70R2aV89KEMTKhH3aiyGAAiuQDJF09qs 2xESRGAN]
 
|
 
|-
 
|}
 
 
 
=====DDS (BC1/DXT1, BC3/DXT5 Compression)=====
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://drive.google.com/open?id=1LHplsPRqhmjR28jGgRlEekeP_bvx3nUC 1x_BC1-smooth2.pth]
 
| |[[User:BlueAmulet|BlueAmulet]]
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc/4.0/ 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
 
|
 
|-
 
 
 
|-
 
| [https://drive.google.com/file/d/1WXBNdlqDWV10a3L1_U7zuNkSpN9aBF0M/view?usp=sharing 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
 
|-
 
 
 
|-
 
| [https://e.pcloud.link/publink/show?code=XZXbsZK03Y0UsmtR0W7wRMHWGvYkzgPII7 1x_artifacts_bc1_free_alsa.pth]
 
| |[[User:Alsa|Alsa]]
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| BC1 Compression
 
|
 
|
 
| [https://mega.nz/#!r2hEAAAb!zdk-Ka6VCqVnKThtfJVYM0NnVBSUyeqsjYs-NgKjLkc BC1 take 2]
 
|
 
|-
 
 
 
| [https://drive.google.com/drive/u/1/folders/1pnyPklpLPtMAHeNC5NVU1mV_Qh61wWnx 1x_BCGone_Smooth_110000_G]
 
| |[[User:Mutin_Choler|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
 
|-
 
 
 
| [https://drive.google.com/drive/folders/1pnyPklpLPtMAHeNC5NVU1mV_Qh61wWnx?usp=sharing 1x_BCGone-DetailedV2_40-60_115000_G]
 
| |[[User:Mutin_Choler|Mutin_Choler]]
 
| 1x
 
| WTFPL
 
| ESRGAN
 
| BC1 Compression
 
| 2021-03-18
 
|
 
| 1xESRGAN
 
|
 
|-
 
|}
 
 
 
=====Dithering=====
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
 
 
|-
 
| [https://e.pcloud.link/publink/show?code=XZ5bsZtd0ldzEF2UFLSYqIBNhqNH21slxX 1x_artifacts_dithering_alsa.pth]
 
| [[User:Alsa|Alsa]]
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Dithering
 
|
 
| Dithered Images
 
| [https://mega.nz/#!7io2gSQR!UB9u2k51daixTgC2H0LdOWzNlkDyIDHwxBX4BVY2J3k JPG (0-20%)]
 
|
 
|-
 
 
 
| [https://mega.nz/file/IsABVIJb#ljH6JDvFahi6KLWpaeQ_G9DOSQlvhwjbitlPBbSHcuo 1x_DEDITHER_32_512_126900_G .pth]
 
| [[User:Alsa|Alsa]]
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Dithering
 
|
 
|
 
| JPG (0-20%)
 
|-
 
 
 
|-
 
| [https://drive.google.com/file/d/1H4KQyhcknOoExjvDdsoxAgTBMO7JuJ3w/view 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/
 
|-
 
 
 
|-
 
| [https://drive.google.com/open?id=1Vtwt9kgnmju1edibl07WI6Rg7CrAlHIx 4xFSDedither_Manga]
 
| Jacob
 
| 4x
 
| [https://www.gnu.org/licenses/gpl-3.0.en.html 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
 
|-
 
 
 
| [https://buildism.net/files/4xFSDedither_Riven.pth 4xFSDedither_Riven]
 
| Jacob
 
| 4x
 
| [https://www.gnu.org/licenses/gpl-3.0.en.html 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
 
|-
 
 
 
| [https://drive.google.com/drive/folders/1XKREcpHnaYz_dcmkMPDbyETcXzDcQsR2?usp=sharing 1x_DitherDeleter-Smooth_104000_G]
 
| |[[User:Mutin_Choler|Mutin_Choler]]
 
| 1x
 
| WTFPL
 
| ESRGAN
 
| Dithering
 
| 2021-01-23
 
| 1xESRGAN
 
| https://imgsli.com/Mzg0MTk/1/2
 
|-
 
 
 
| [https://drive.google.com/drive/folders/1XKREcpHnaYz_dcmkMPDbyETcXzDcQsR2?usp=sharing 1x_DitherDeleterV3-Smooth]
 
| |[[User:Mutin_Choler|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====
 
 
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://mega.nz/file/CYoXCAKR#eRKwpP9rCL9vFCsO41oVImvmVwAEOtYUlp2CquX0Fw8 1x_ThePi7on-Solidd_Deborutify_UltraLite_260k_G]
 
| ThePi7on
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Deblur
 
| 2021-05-09
 
| Sharpening, line darkening and slight line thinning, specifically made for the Boruto anime.
 
|
 
|
 
|-
 
 
 
| [https://cloud.owncube.com/s/p3w7M2sfaWWYCK9/download?path=%2F&files=1x_mdeblur.pth mdeblur]
 
| LyonHrt
 
| 1x
 
|UNKNOWN
 
| ESRGAN
 
| Blurring
 
|
 
| Strong deblurring model
 
|
 
|
 
|-
 
 
 
| [https://1drv.ms/u/s!Aip-EMByJHY27TDhiFPB39jM0pwq?e=5zAFtO 1x_PixelSharpen_100000]
 
| DinJerr
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Pixel Art
 
| 2021-03-19
 
| Restores blurry/upscaled pixel art.
 
| 1xESRGAN
 
| https://imgsli.com/NDUxNDQ/5/4
 
|-
 
 
 
| [https://1drv.ms/u/s!Aip-EMByJHY28w0Zkd9fdANYH3j6?e=9zwxII 1x_ArtClarity]
 
| DinnJerr
 
| 1x
 
| WTFPL
 
| ESRGAN
 
| Pixel Art
 
| 2021-08-05
 
| Texture retaining denoiser and sharpener for digital artwork
 
| 4xPSNR
 
|
 
|-
 
 
 
| [https://de-next.owncube.com/index.php/s/aAojXwLTPZto8rP 1x_Fatality_DeBlur]
 
| |[[User:Twittman|Twittman]]
 
| 1x
 
| [https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
 
 
| [https://de-next.owncube.com/index.php/s/nmNfcd33mnLLwEC UnResize V3 (1x_UnResize_V3_200000_G.pth)]
 
| |[[User:Twittman|Twittman]]
 
| 1x
 
| [https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
 
 
| [https://mega.nz/folder/OVomUZyT#vDyNntGY1MirBEACNjpqVg 1x-Focus and 1x-Focus_Moderate]
 
| |[[User:Kim2091|Kim2091]]
 
| 1x
 
| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Deblur
 
|
 
| These models deblur most images. It was trained mostly on aniso2 and iso blurring (BSRGAN augmentation) with some gaussian mixed in. It performs well on most blurry images, but I'd recommend using something like Fatality_Deblur for very strong gaussian blur. Dataset: The UniScale Dataset + My Fabric dataset
 
| 1xESRGAN
 
| [https://cdn.discordapp.com/attachments/893483065664483338/893483645803847690/unknown.png Sample 1] [https://cdn.discordapp.com/attachments/893483065664483338/893497416207188028/unknown.png Sample 2] [https://cdn.discordapp.com/attachments/893483065664483338/893483280895193118/unknown.png Sample 3] [https://cdn.discordapp.com/attachments/893483065664483338/893496207832408135/unknown.png Sample 4]
 
|-
 
 
 
| [https://de-next.owncube.com/index.php/s/GjbBw7pcgm5gmYm ReFocus Cleanly (1x_ReFocus_Cleanly_100000_G.pth)]
 
| |[[User:Twittman|Twittman]]
 
| 1x
 
| [https://creativecommons.org/licenses/by-nc-sa/4.0/ 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====
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://drive.google.com/file/d/1GNguVMV4E5t_4dn23w6UMXVKN6Ff9XPt/view?usp=sharing 1x_N64clean]
 
| |[[User:BlueAmulet|BlueAmulet]]
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc/4.0/ 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
 
|
 
|-
 
 
 
|-
 
| [https://drive.google.com/file/d/14YW1z12CG7n4-g4_nxpX8SfvqN9Yssry/view?usp=drivesdk 1xBS_DebandizerSPSRV2]
 
| |[[User:BlackScout|BlackScout]]
 
| 1x
 
| [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]
 
| SPSR
 
| Banding
 
| 2020-07-21
 
| mostly ends up dithering the image slightly but it has the potential to recover detail.
 
| 1xBS_DebandizerSPSRV1
 
|
 
|-
 
 
 
| [https://drive.google.com/drive/folders/1WD2RqtER_jk0QkPFUySeXhDV2aAO8_nr?usp=sharing 1x_Bandage-Smooth]
 
| |[[User:Mutin_Choler|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
 
|-
 
 
 
|-
 
| [https://f002.backblazeb2.com/file/ESRGAN/_RELEASE/1x_Debandurh_FS_lite_140000_G.pth Debandurh_FS Ultra-lite (1x_Debandurh_FS_lite_140000_G.pth)]
 
| |[[User:Twittman|Twittman]]
 
| 1x
 
| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0] (?)
 
| ESRGAN
 
| Debanding images
 
|
 
| Dataset: Anime, real life, manga
 
| None
 
|
 
|-
 
 
 
|}
 
 
 
====Halo Removal====
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://drive.google.com/drive/u/1/folders/1pT75GdIU4JAH75eJzpxsaHfIoJ1a_gXB 1x_DeEdge_105000_G]
 
| |[[User:Mutin_Choler|Mutin_Choler]]
 
| 1x
 
| WTFPL
 
| ESRGAN
 
| Halo remover
 
| 2020-11-03
 
|
 
| 1xESRGAN
 
| https://imgsli.com/MjgxMDU/3/0
 
|-
 
|}
 
 
 
====Noise====
 
 
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://drive.google.com/file/d/1GoUY7t5kE0Ubi-NDvlMB8lUs-_u_f6tS/view?usp=sharing 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
 
|
 
|-
 
 
 
| [https://drive.google.com/drive/u/1/folders/12j6BvuR7SU48ui9DHjBPB1vzPpQri9bD 1x_NoiseToner-Poisson-Detailed_108000_G]
 
| |[[User:Mutin_Choler|Mutin_Choler]]
 
| 1x
 
| WTFPL
 
| ESRGAN
 
| Noise remover
 
| 2021-10-08
 
| Attempts to remove the damages done from noise. Successor of sorts to Noisetoner_Poisson_150000_G
 
| 1xESRGAN
 
| https://imgsli.com/NzQ5MzM/2/0
 
|-
 
 
 
| [https://drive.google.com/drive/u/1/folders/12j6BvuR7SU48ui9DHjBPB1vzPpQri9bD 1x_NoiseToner_Poisson_150000_G]
 
| |[[User:Mutin_Choler|Mutin_Choler]]
 
| 1x
 
| WTFPL
 
| ESRGAN
 
| Noise remover
 
| 2020-10-14
 
|
 
| 1xESRGAN
 
| https://imgsli.com/MjU1ODU/3/1
 
|-
 
 
 
| [https://drive.google.com/drive/u/1/folders/12j6BvuR7SU48ui9DHjBPB1vzPpQri9bD 1x_NoiseToner_Uniform_100000_G]
 
| |[[User:Mutin_Choler|Mutin_Choler]]
 
| 1x
 
| WTFPL
 
| ESRGAN
 
| Noise remover
 
| 2020-10-14
 
|
 
| 1xESRGAN
 
| https://imgsli.com/MjU1Nzg/2/1
 
|-
 
 
 
|-
 
| [https://drive.google.com/file/d/1f5kIr3gG5GjbN_EM96CCB0nqu_2_56gh/view 1x_ISO_denoise_v1]
 
| Alpha
 
| 1x
 
| WTFPL
 
| ESRGAN
 
| denoise
 
| not on discord
 
| Remove high ISO noise
 
| 1xESRGAN
 
 
 
|
 
|-
 
| [https://drive.google.com/file/d/1HSUvnQm56_CmVAAMjTfVn_Hi6a4Bm2h0/view 1x_ISO_denoise_v2]
 
| Alpha
 
| 1x
 
| WTFPL
 
| ESRGAN
 
| denoise
 
| not on discord
 
| Remove high ISO noise
 
| ISO denoise v1
 
 
 
|
 
|-
 
| [https://drive.google.com/file/d/1kO3fx9FL5rKhoDk2n4kiiPWuCNHojkIR/view Film-Degrainer_1-000]
 
| Tika
 
| 1x
 
| CC0
 
| ESRGAN
 
| denoise
 
| not on discord
 
| Remove film grain/noise
 
| none
 
|
 
|}
 
 
 
 
 
====Oversharpening====
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://mega.nz/#!qRZD3SLL!RqP7cISIcoW5YakPya9CXEWSEHWqUSKdWLQSdYKGa14 1x_DeSharpen]
 
| Loinne
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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====
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
 
 
|-
 
| [https://drive.google.com/open?id=1uJvdx3g3GEY0VxMnHb0ItBvoc6pmGvuH detoon]
 
| |[[User:LyonHrt|LyonHrt]]
 
|
 
|
 
| ESRGAN
 
| Detooning
 
| 2019-06-24
 
| A toon to realistic shading style model to wiki under drawings
 
|
 
|
 
|-
 
 
 
| [https://drive.google.com/file/d/12vkDn35cuVnq2KYpkaA3XfCmk6zY_u4_/view?usp=sharing 1xDoubleDetoon]
 
| Joey
 
| 1x
 
| CC BY-NC-SA
 
| ESRGAN
 
| Detooning
 
| 2020-07-31
 
| An attempt to detoon images/drawings of people
 
| 1xESRGAN
 
|
 
|-
 
|}
 
 
 
 
 
 
 
 
 
====Image De/Colorization====
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://drive.google.com/file/d/1UgxnymTfLaVhY3aaDuBRnTZ9ehckKVKJ BS_Colorizer/Vapourizer]
 
| |[[User:BlackScout|BlackScout]]
 
| 1x
 
| [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]
 
| ESRGAN
 
| Colorization
 
| 2020-01-30
 
| Colorize Grayscale or Desaturated images. - This model is a partially failed attempt at restoring color from Grayscale | B/W | 100% Desaturated images. It mostly results in Blue and Yellow images with slight hints of Green, Orange and Magenta. You are free to use this as a pretrain to achieve better results.
 
| 1xESRGAN
 
|
 
|-
 
 
 
| [https://u.pcloud.link/publink/show?code=kZpAGFXZARxWIu9Pp4YDLUSIN8I8aFuJ5TKV 1x_SpongeColor-Lite]
 
| Joey
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
 
 
|-
 
| [https://drive.google.com/open?id=1-mxmDF1Dh-PnQqRz_PeCrvsTkHjYCbi3 Deoldify]
 
| Rastrum
 
| 4x
 
| CC0
 
| ESRGAN
 
| Photos
 
| 2019-08-29
 
| Old black and white photo restoration.
 
| Falcon Fanart
 
|
 
|-
 
|}
 
 
 
===Stylization===
 
====Images====
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://u.pcloud.link/publink/show?code=XZbO5pXZTEQNLwBzQjQCo1g8havjhSHCCSsV Rek's Effeks Photoanime v2]
 
| Rek
 
| 4x
 
| GNU GPL3
 
| ESRGAN
 
| Stylization
 
| 2020-10-17
 
| Photo stylization from JPEGs. Trained on images upscaled by ISO Denoise v2 -> DeJPEG Fatality PlusULTRA -> NMKD Yan2. Essentially a combination of that model chain into one. Use if you're looking for a stylized output, not photo quality.
 
| NMKD Yandere2
 
|
 
|-
 
|}
 
 
 
==Specialized Models==
 
===Text===
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://drive.google.com/file/d/15ovbadCoYs7q8nSd5Mq02PqBOpwiBkoS/view 2x_BSTexty]
 
| |[[User:BlackScout|BlackScout]]
 
| 2x
 
| [https://www.gnu.org/licenses/gpl-3.0.en.html 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
 
|
 
 
 
|-
 
| [https://mega.nz/file/CFZGHb4A#yo2NaVANd9-gk9n4lxA9zkzKPqVukZYpzendRVCinDw 4x-TextSharpV1]
 
| |[[User:Kim2091|Kim2091]]
 
| 4x
 
| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Text
 
| 2021-12-28
 
| Text or Anime
 
| Interpolation between 4x-UltraSharp and 4x-TextSharp-v0.5
 
| https://media.discordapp.net/attachments/556604553424928768/925526934555881532/unknown.png https://cdn.discordapp.com/attachments/903415274521374750/925533775616696340/unknown.png
 
 
 
 
 
|-
 
| [https://icedrive.net/1/43GNBihZyi NMKD Typescale]
 
| |[[User:nmkd|Nmkd]]
 
| 8x
 
| WTFPL
 
| ESRGAN
 
| Text
 
| 2020-11-04
 
| Low-resolution text/typography and symbols
 
| 8xESRGAN
 
|-
 
|}
 
 
 
===Inpainting===
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://e.pcloud.link/publink/show?code=kZQOu7ZldzmFyMPUcFNGkEvwqOxQ8Bl3CeX 1x_sudo_inpaint_PartialConv2D_424000_G.pth]
 
| sudo rm -rf / --no-preserve-root#8353
 
| 1x
 
| [https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
| [https://e.pcloud.link/publink/show?code=kZQOu7ZldzmFyMPUcFNGkEvwqOxQ8Bl3CeX Samples]
 
 
 
|-
 
| [https://icedrive.net/1/43GNBihZyi 1x_NMKD-YandereInpaint_375000_G.pth]
 
| [[User:nmkd|Nmkd]]
 
| 1x
 
| Unknown
 
| ESRGAN
 
| Inpainting
 
| Unknown
 
|
 
| None
 
| [https://icedrive.net/1/43GNBihZyi Samples]
 
|-
 
 
 
|}
 
 
 
===Fabric/Cloth===
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://mega.nz/folder/6EJjwADL#oDvv9p0z1t9nQvObbvBRBQ 4x-Fabric and Fabric-Alt]
 
| |[[User:Kim2091|Kim2091]]
 
| 4x
 
| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Fabric
 
| 2021-09-15
 
| This model set upscales fabric or cloth textures (works on cats too!). The Alt model is just an earlier iteration version. It may work better on some images.The images need to be minimally compressed or passed through a decompression model first. It works with DDS compression though.
 
| 4xESRGAN
 
| [https://cdn.discordapp.com/attachments/887850596214902835/887852703873638410/unknown.png Sample 1] [https://cdn.discordapp.com/attachments/887850596214902835/887852170156847124/unknown.png Sample 2] [https://cdn.discordapp.com/attachments/887850596214902835/887856392269094952/unknown.png Sample 3] [https://cdn.discordapp.com/attachments/887850596214902835/887853344545194084/unknown.png Sample 4]
 
 
 
|}
 
 
 
 
 
===Alphas===
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
|[https://drive.google.com/open?id=192Mw2_yUwCgqt3tAJ2sRxZ8hYHe4CKrZ FireAlpha]
 
| |[[User:BlueAmulet|BlueAmulet]]
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
 
| ESRGAN
 
| Alpha (4 channel)
 
| 2019-11-12
 
|
 
| none
 
|
 
|-
 
 
 
| [https://u.pcloud.link/publink/show?code=kZQfN4XZmIrkODabBWhtmmA95c0GMb19WUuy 4x_1ch-Alpha-Lite]
 
| Joey
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Alpha
 
| 2020-12-15
 
| Obsoleted by Joey's Fork - Alpha channels of PNGs
 
| none
 
|
 
|-
 
 
 
| [https://u.pcloud.link/publink/show?code=kZkR7hXZhfCA4WvVQvbxXkNN50tazuxj73uX 2x_Gen5-Alpha]
 
| Joey
 
| 2x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Pixel Art with Tranparency / Alpha Channel
 
| 2021-02-03
 
|
 
| 4xFireAlpha
 
|
 
|-
 
 
 
| [https://u.pcloud.link/publink/show?code=kZeNFhXZbuw2jGJOGqQnKecb8Moo1ha47W57 8x_Sphax-Alpha-NN]
 
| Joey
 
| 8x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Pixel Art with Tranparency / Alpha Channel
 
| 2021-02-04
 
| Replica of sphax with transparency
 
| 4xFireAlpha
 
|
 
|-
 
 
 
| [https://u.pcloud.link/publink/show?code=kZrIFhXZxnpi72FuwgLz7FIDw8kdrp2suIEk 4x_PocketMonsters-Alpha]
 
| Joey
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Pixel Art with Tranparency / Alpha Channel
 
| 2021-02-04
 
| upscaling pixel art with alpha channels that should perform better than any other. It should work well on both cartoon and 3D styled content.
 
| 4xFireAlpha
 
|
 
|-
 
 
 
| [https://drive.google.com/file/d/1trYs4AuC9s2JWAbryHdNyy5cgYV-V8cH/view Skyrim Alpha]
 
| Deorder
 
| 4x
 
|[https://creativecommons.org/publicdomain/zero/1.0/ CC0]
 
| ESRGAN
 
| Pixel Art with Tranparency / Alpha Channel
 
|
 
| Dataset: Alpha Channels from Skyrim
 
| Unknown
 
|
 
|-
 
|}
 
 
 
===CGI===
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
|-
 
 
 
| [https://1drv.ms/u/s!Aip-EMByJHY20wpGoLuSRzjdqh0T WaifuGAN_v3_30000]
 
| DinnJerr
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
 
| ESRGAN
 
| CGI
 
| 2019-07-12
 
| Upscaling CG-painted anime with variable outlines.
 
| Manga109v2.pth
 
|
 
|-
 
 
 
 
 
| [https://drive.google.com/file/d/1zlc8BWOcpCbSZpwf7ArMCqpb0Tf9DlZk/view?usp=drivesdk 2xBS_Wolly]
 
| |[[User:BlackScout|BlackScout]]
 
| 2x
 
| [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]
 
| ESRGAN
 
| CGI Animation
 
| 2020-02-07
 
| Pixar Movies or Wall-E pictures/frames
 
| 2xESRGAN
 
|
 
|-
 
 
 
| [https://drive.google.com/file/d/1kNSz5f2_krdlsJ700DwH78OEPYkkcjW5/view?usp=sharing 4xSGI]
 
| ChrisNonyminus
 
| 4x
 
| GNU GPL3
 
| ESRGAN
 
| CGI
 
| 2020-12-17
 
| Upscaling and dedithering pre-rendered sprites, images and textures made in the 90s. Basically vintage CGI.
 
| 4xESRGAN
 
| https://imgur.com/a/iwLTjeB
 
|-
 
 
 
| [https://lbry.tv/@Madiator2011:e/x2_CGIMaster_v1:6 CGIMaster_v1]
 
| Madiator
 
| 2x
 
| GNU GPL3
 
| ESRGAN
 
| CGI Animation
 
| 2021-01-14
 
| mixed 3D/2D CGI animations on some 2D animations it might sharpen the edges. General usage is to upscale CGI animations compressed by YouTube.
 
| Sharp_Anime_v2
 
| https://imgsli.com/Mzc1NTM
 
|-
 
|}
 
 
 
===Luminance/Chroma===
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
 
 
|-
 
| [https://drive.google.com/file/d/1FDb9H6GOmE3aRvZbx_-kTiCLS77WyjgL/view 1x_BSLuma]
 
| |[[User:BlackScout|BlackScout]]
 
| 1x
 
| [https://www.gnu.org/licenses/gpl-3.0.en.html 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
 
|
 
|-
 
 
 
| [https://drive.google.com/file/d/12v_2OwrB_rr6_0tMshHaHgD_XWRNgIyF/view 1x_BSChroma]
 
| |[[User:BlackScout|BlackScout]]
 
| 1x
 
| [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]
 
| ESRGAN
 
| Sharpen
 
| 2020-02-29
 
| ChromaSharpen - makes the colors slightly more vibrant with a sideeffect of possibly adding Chromatic Abberation to the image. I am not sure about the usage of this model on real case scenarios but anything blurry or with fuzzy colors could work
 
| none
 
|
 
|-
 
|}
 
 
 
===Cats===
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| |[https://f002.backblazeb2.com/file/ESRGAN/_RELEASE/4x_cat_patch_325000_G.pth Cat_Patch]
 
| |[[User:Twittman|Twittman]]
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0] (?)
 
| ESRGAN
 
| Cats
 
| not on discord
 
|
 
| previous attempt
 
|
 
|-
 
|}
 
 
 
===Coins===
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://drive.google.com/file/d/1zC97RLUg5ejqb5-4Dj5q-SzdLPLiMozH/view 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===
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://de-next.owncube.com/index.php/s/PF5GTJ9jix4Log8 4x_Faces_N_250000.pth]
 
| |[[User:Twittman|Twittman]]
 
| 4x
 
|
 
| ESRGAN
 
| Faces
 
| 2019-07-18
 
| Upscales images of faces of different scales, sometimes resulting in monsters.
 
| 4xESRGAN
 
|
 
|-
 
 
 
|-
 
| [https://de-next.owncube.com/index.php/s/PF5GTJ9jix4Log8 4x_Faces_04_N_180000_G]
 
| |[[User:Twittman|Twittman]]
 
| 4x
 
|
 
| ESRGAN
 
| Faces
 
| 2019-07-23
 
| Upscale faces both pixelized and real
 
| 4x_Faces_N_250000.pth
 
|
 
|-
 
 
 
|-
 
| [https://de-next.owncube.com/index.php/s/mZRG4HB3KdP2iP6 Face-Ality V1 (4x_Fatality_Faces_310000_G.pth)]
 
| |[[User:Twittman|Twittman]]
 
| 4x
 
| [https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0] (?)
 
| ESRGAN
 
| Faces
 
|
 
| Dataset: Custom (Faces)
 
| 4x_Faces_04_N_180000_G.pth
 
|
 
|-
 
 
 
|-
 
| [https://drive.google.com/open?id=1OyOJIW224hBhb-aTCbuUQb0qzKmE4oH6 TGHQFace8x]
 
| tg
 
| 8x
 
| GNU GPL3
 
| ESRGAN
 
| Faces
 
| 2019-11-27
 
| Upscales blurry 128px faces, usefull for enhancing that someone in a small picture.
 
| 8xESRGAN
 
| https://imgsli.com/OTM1NQ
 
|-
 
 
 
| [https://onedrive.live.com/?authkey=%21AP69c97OwKxR3lM&id=36762472C0107E2A%2110699&cid=36762472C0107E2A FArtFace]
 
| |[[User:DinJerr|DinJerr]]
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc/4.0/ CC BY-NC 4.0]
 
| ESRGAN
 
| Faces
 
| 2019-11-28
 
|
 
|
 
|
 
|-
 
 
 
| [https://drive.google.com/file/d/14daAyYuoX-nZ_Lo1U6oekbFqrZTQlQkG/view?usp=drivesdk 4x_BS_SbeveHarvey]
 
| |[[User:BlackScout|BlackScout]]
 
| 4x
 
| [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]
 
| ESRGAN
 
| Faces
 
| 2020-07-24
 
| Upscale Steve Harvey, but maybe other things, somehow??
 
| 4xESRGAN
 
|
 
|-
 
 
 
|-
 
| [https://drive.google.com/file/d/19ICMKNuS4PbhmtA7Be9lUE6v8NHDDEzP/view Face Focus]
 
| |[[User:LyonHrt|LyonHrt]]
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Faces
 
| not on discord
 
| Face De-blur - slightly out of focus / blurred images of faces. It is aimed at faces / hair
 
| 4xPSNR
 
|
 
|-
 
 
 
|-
 
| [https://drive.google.com/file/d/1OyOJIW224hBhb-aTCbuUQb0qzKmE4oH6/view TGHQFace8x]
 
| |[[User:Torrentguy|Torrentguy]]
 
| 8x
 
| [https://www.gnu.org/licenses/gpl-3.0.en.html [https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]]
 
| ESRGAN
 
| Face Upscaling
 
|
 
|
 
| 8xESRGAN
 
|
 
|-
 
|}
 
 
 
===Foliage/Ground===
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://drive.google.com/drive/folders/1ZcMD3hy1YCm-hsrT6xYGvhboxSzhrJKg 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
 
|-
 
 
 
| [https://drive.google.com/file/d/1dGmhHUPmb3lO9buX_Bt2nq97Nk5MCTb4/view Ground]
 
| ZaphodBreeblebox
 
| 4x
 
|
 
| ESRGAN
 
| Upscales ground textures
 
| 2021-06-23
 
| Dataset: Custom (Ground textures Google)
 
|
 
|
 
|-
 
|}
 
 
 
===Video Games===
 
====Game Screenshots====
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://drive.google.com/file/d/1DbbM4saRpJu0dmgvccQFwfF4zI2rjiQ_ Minepack]
 
| |[[User:BlackScout|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
 
|
 
|-
 
 
 
|-
 
 
 
| [https://drive.google.com/file/d/1Xe1JorGFJzPClR9tUuGmpuMyLhTA-d2T/view?usp=sharing 4xPackCraft_v4]
 
| Joey
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|-
 
 
 
|-
 
| [https://drive.google.com/drive/folders/1XsOFqGx_cGMWQTBuE9K9smwULg_wiaWc?usp=sharing MinecraftAlphaUpscaler with Good data]
 
| Washed Up
 
| 4x
 
| [https://www.gnu.org/licenses/gpl-3.0.en.html 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
 
|
 
|-
 
 
 
|-
 
| [https://drive.google.com/file/d/1MkqAuELmbhrEGcD55IUJhDFFNniOmNWN ScreenBooster V2]
 
| |[[User:BlackScout|BlackScout]]
 
| 4x
 
| CC BY-NC-SA
 
| ESRGAN
 
| CGI
 
| 2020-01-29
 
| Game Screenshots
 
| none
 
|
 
|-
 
 
 
|-
 
| [https://drive.google.com/file/d/1JI8VZSSHpH9u7HzE8MvuNG351Dgn4jwU/view?usp=sharing BS_ScreenBooster_SPSR]
 
| |[[User:BlackScout|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
 
 
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://u.pcloud.link/publink/show?code=kZEdNHXZ3bpVwUoge94d9igFWxbjQQrcbpny 1x_NormalMapGenerator-CX-Lite]
 
| Joey
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
 
 
| [https://u.pcloud.link/publink/show?code=kZecVzXZEO6fAyO6w25YDc43BkSVHRgFdOwX 1x_FrankenMapGenerator-CX-Lite]
 
| Joey
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
 
 
| [https://drive.google.com/file/d/1uksv1uyyZjQcU4567OrfU0w2NECcG8dY/view 1x_normals_generator_general_215k]
 
| [[User:LyonHrt|LyonHrt]]
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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====
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
 
 
|-
 
| [https://1drv.ms/u/s!AiWox1lAWLoTg1bUeJouJNOFZ_Jj Fallout Weapons (Fallout 4 Weapons?)]
 
| Bob
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Game textures
 
| 2019-08-05
 
| Video game textures, mostly metal rusty, clean or painted
 
| Manga109Attempt
 
|
 
|-
 
 
 
| [https://1drv.ms/u/s!AiWox1lAWLoThANuXjxIR-hqA6os Fallout Weapons V2]
 
| Bob
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Game textures
 
| 2019-08-23
 
| Video game textures, mostly metal rusty, clean or painted
 
| Fallout 4 Weapons
 
|
 
|-
 
 
 
 
 
| [https://drive.google.com/file/d/1y9nYjuy8vG7_LHpveYTj0ihK_6fE2XKF/view?usp=sharing 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
 
|-
 
 
 
 
 
| [https://drive.google.com/file/d/1L8reADxi5Nt-8Tki0oY5jkQlv6kJg6w4/view?usp=sharing 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
 
|-
 
 
 
| [https://mega.nz/folder/HNh0hLzD#vUuFhp2ZAeNi_5shZfCC0g 4x-VolArt]
 
| |[[User:Kim2091|Kim2091]]
 
| 4x
 
| CC BY-NC-SA 4.0
 
| ESRGAN
 
| Game textures/Art
 
| 2021-09-18
 
| This model upscales artwork for the game Volfoss (2001). The model peaked in quality very quickly. The NR model removes most noise, but has the downside of removing transparent portions. Use the main model in most cases.
 
| 4xESRGAN
 
| [https://cdn.discordapp.com/attachments/888869052867543060/888869070928248852/unknown.png Sample 1] [https://cdn.discordapp.com/attachments/888869052867543060/888869784169619496/unknown.png Sample 2]
 
|-
 
 
 
 
 
| [https://drive.google.com/file/d/1Ful_AALrK-gxSwsTeMkzvwX5hh1ah8X8/view?usp=sharing 2xFaithfulSPSR]
 
| Joey
 
| 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
 
|
 
|-
 
 
 
| [https://u.pcloud.link/publink/show?code=kZUMKFXZUG6BpzHR6wFGack19pvWgbQQ9OA7 2x_FakeFaith-Lite]
 
| Joey
 
| 2x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
 
 
| [https://u.pcloud.link/publink/show?code=XZHawFXZhqD7dF4qtYHnqJVPnQd0ey0vW1JX 2x_Faithful-Lite]
 
| Joey
 
| 2x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN (lite)
 
| Pixel Art
 
| 2020-10-12
 
| A "lite" model version of my Faithful model
 
| none
 
|
 
|-
 
 
 
| [https://u.pcloud.link/publink/show?code=XZTAmsXZzEO8tMJaYAF1MrKKnmOCKu7Ghedy 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
 
|-
 
 
 
| [https://drive.google.com/file/d/1HIBRKFs7s-XhpN1p7rwAWcMTHwFRqn3n/view Trixie]
 
| |[[User:LyonHrt|LyonHrt]]
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
 
 
| [https://e.pcloud.link/publink/show?code=XZGmsZo1yNrot19O4R5SrPVD1GWpRy1MKX Skyrim Armory]
 
| |[[User:Alsa|Alsa]]
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Game textures/equipment
 
| not on discord
 
|
 
| Manga109Attempt
 
|
 
|-
 
 
 
 
 
| [https://drive.google.com/file/d/1RjVWNUFtVyz4ykqu6Pm9wmO03pPEBGqg/view Skyrim Misc]
 
| Deorder
 
| 4x
 
| CC0
 
| ESRGAN
 
| Game textures
 
| not on discord
 
| Skyrim Diffuse Textures
 
| ?
 
|
 
|-
 
 
 
| [https://drive.google.com/file/d/1RjVWNUFtVyz4ykqu6Pm9wmO03pPEBGqg/view Skyrim Wood]
 
| Laeris
 
| 4x
 
|
 
| ESRGAN
 
| Game textures
 
| not on discord
 
| Wood
 
| ?
 
|
 
|-
 
 
 
|-
 
| [https://mega.nz/folder/fcp2SLKC#tF3vG7zjvfpnXK7OLUaFRA 4x-SkyrimTexV2.1 and V2_Fabric]
 
| [[User:Kim2091|Kim2091]]
 
| 4x
 
| CC BY-NC-SA 4.0
 
| ESRGAN
 
| Game textures
 
| 2021-09-25
 
| This model set upscales most Skyrim textures. I hope it helps 🙂 The base model (2.1) works well on stone, wood, metals, and most other textures. The Fabric model is a 50/50 interpolation with a stronger iteration of this model and my Fabric model. As you can tell by the name, it's intended for Fabric textures. If you want to upscale Alpha textures, use a model dedicated to it. There's an INFO file in the folder, it just explains the extra models
 
| 4xESRGAN
 
| [https://cdn.discordapp.com/attachments/891300021453070387/891392169926098974/unknown.png Sample 1] [https://cdn.discordapp.com/attachments/891393393849147423/891397870266224731/unknown.png Sample 2] [https://cdn.discordapp.com/attachments/891300021453070387/891395469387890738/unknown.png Sample 3] [https://cdn.discordapp.com/attachments/891393393849147423/891398051325960202/unknown.png Sample 4]
 
|-
 
 
 
| [https://drive.google.com/file/d/12fR-pWw6YL2ZbS6EDvrAeOVoQHWkWl5L/view Forest]
 
| |[[User:LyonHrt|LyonHrt]]
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Game textures
 
| not on discord
 
| Wood / Leaves
 
| none
 
|
 
|-
 
 
 
| [https://mega.nz/folder/tFhl0L5b#CK4WLHYxjX7KFXU1PLNDuQ Morrowind Mixed]
 
| mkultra
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Game textures
 
| not on discord
 
| Morrowind Mod Textures
 
| 4xESRGAN
 
|
 
|-
 
 
 
| [https://drive.google.com/file/d/1xPzqzTG5L6y5I0U3W0oQjexwGF5zfG32/view Map]
 
| |[[User:LyonHrt|LyonHrt]]
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| Game textures
 
| not on discord
 
| Map / Old Paper with text
 
| none
 
|
 
|-
 
 
 
 
 
|}
 
 
 
 
 
==Video Restoration==
 
===Video Compression===
 
 
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://de-next.owncube.com/index.php/s/wKjLmYsq7M5JAmx 1x_cinepak_200000]
 
| |[[User:Twittman|Twittman]]
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0] (?)
 
| ESRGAN
 
| Compression
 
| 2019-07-03
 
| Removal of Compression such as Cinepak, msvideo1 and Roq
 
| none
 
|
 
|-
 
 
 
|-
 
| [https://de-next.owncube.com/index.php/s/wKjLmYsq7M5JAmx 1x_cinepak_alt.pth]
 
| |buildist
 
| 1x
 
|[https://www.gnu.org/licenses/gpl-3.0.en.html GNU GPLv3]
 
| ESRGAN
 
| Compression
 
|
 
| Cinepak (only)
 
| none
 
|
 
|-
 
 
 
|-
 
| [https://drive.google.com/drive/folders/1qn1LeYI93HDKHxREEK4EYsDB6LDsZ_dI?usp=sharing DeBink v4/v5/v6]
 
| |[[User:Kim2091|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
 
|
 
|-
 
 
 
|-
 
| [https://mega.nz/folder/6cxHzIxB#IN6ZgG-S0j3LjM0x5DEqew DeBink_Lite]
 
| |[[User:Kim2091|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
 
| [https://cdn.discordapp.com/attachments/903415274521374750/904129653374078976/XB_Demo_Mov-85600_G.mp4 Video Sample]
 
|-
 
 
 
|-
 
| [https://mega.nz/file/rUh0WCQI#rLy6foaaeagDxPKnVCVeMghO-VZr6AtTulrXmZMT6j4 1x-RoQ_nRoll]
 
| |[[User:Kim2091|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
 
|-
 
 
 
| [https://icedrive.net/1/43GNBihZyi NMKD h264Texturize]
 
| |[[User:nmkd|Nmkd]]
 
| 1x
 
| WTFPL
 
| ESRGAN
 
| Texturizing
 
| 2020-10-20
 
| Tries to reverse heavy h264 compression. Fails. Can be used to texturize images though.
 
| 4x ESRGAN
 
|
 
|-
 
 
 
 
 
| [https://drive.google.com/drive/folders/1ZcMD3hy1YCm-hsrT6xYGvhboxSzhrJKg 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
 
|-
 
 
 
|-
 
| [https://drive.google.com/file/d/1-lfgZ_6vtS9DsWU-57ig8UJExH26XmCv/view?usp=sharing DeIndeo]
 
| Wild West Quest#7975
 
| 4x
 
| WTFPL
 
| ESRGAN
 
| Indeo Compression Artifacts
 
|
 
| Dataset: Custom
 
| [https://mega.nz/#!uhAVEaAA!qfwIQ44Ba3rXMAb2-M3aM3zFBCwzmyQ64IO_0O-csJE 4xESRGAN]
 
|
 
|-
 
 
 
|}
 
 
 
===VHS Tapes===
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://icedrive.net/0/d3bwO9Byjo 1xBaldrickVHSFix_180000_G_V0.2]
 
| NimRodZorg
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
 
 
| [https://drive.google.com/drive/folders/1NVT-5hmcrXc1d_DFjzNf-z-VfOa_xhwI?usp=sharing 2x_VHS-upscale-and-denoise_Film_477000_G]
 
| Itewreed
 
| 2x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
 
 
| [https://mega.nz/file/Z5IXBSrA#bE9VasE60zLqZ_NggOhs40Z9l2z8DapROZb5VX0F3h0 VHS-Sharpen-1x]
 
| RTX 2080 ti hoarder
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN
 
| VHS
 
| 2021-03-19
 
| Make old VHS footage crispy. This model will not work on video and images with noticeable JPEG/Video compression artifacts, noticeable interlacing or haloing, heavy tape distortion/artifacts and scenes with tons of detail. For best results, use a downscaled HD capture of the VHS tape you intend to use it on.
 
| 1xESRGAN
 
| https://imgsli.com/NDUxNDY/2/3
 
|-
 
 
 
|}
 
 
 
==Pretrained Models==
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://mega.nz/#!D940CAKR!-BAx7tSj1CgeopGkaMW31VuPsC3hvNBL35TEVAj4LIo 1xESRGAN]
 
| victorca25
 
| 1x
 
| Apache License 2.0
 
| ESRGAN
 
| Pretrained
 
| 2019-07-06
 
|
 
| RRDB_ESRGAN_x4.pth
 
|
 
|-
 
 
 
 
 
| [https://mega.nz/#!vtgSWKQT!K7Asn2zKe4N70R2aV89KEMTKhH3aiyGAAiuQDJF09qs 2xESRGAN]
 
| victorca25
 
| 2x
 
| Apache License 2.0
 
| ESRGAN
 
| Pretrained
 
| 2019-07-06
 
|
 
| RRDB_ESRGAN_x4.pth
 
|
 
|-
 
 
 
| [https://mega.nz/#!uhAVEaAA!qfwIQ44Ba3rXMAb2-M3aM3zFBCwzmyQ64IO_0O-csJE 4xESRGAN]
 
| xinntao
 
| 4x
 
| Apache License 2.0
 
| ESRGAN
 
| Pretrained
 
| 2019-07-06
 
|
 
| RRDB_ESRGAN_x4.pth
 
|
 
|-
 
 
 
 
 
| [https://mega.nz/#!6kwQiCCS!v2uN8R44vVrlzmSqffGaCnzgogkPhhl67myJbuG45SA 8xESRGAN]
 
| victorca25
 
| 8x
 
| Apache License 2.0
 
| ESRGAN
 
| Pretrained
 
| 2019-07-06
 
|
 
| RRDB_ESRGAN_x4.pth
 
|
 
|-
 
 
 
 
 
| [https://mega.nz/#!btwEXAoI!nNxWI89OdQCEkcRoPEFwj6GoFN8uzZyZFaCn1wbhzKY 16xESRGAN]
 
| victorca25
 
| 16x
 
| Apache License 2.0
 
| ESRGAN
 
| Pretrained
 
| 2019-07-06
 
|
 
| RRDB_ESRGAN_x4.pth
 
|
 
|-
 
 
 
|-
 
| [https://drive.google.com/open?id=1ldwajXL50uC7PCS63B4Wato6Dnk-svNL 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
 
|
 
|-
 
 
 
 
 
| [https://drive.google.com/open?id=1ldwajXL50uC7PCS63B4Wato6Dnk-svNL 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
 
|
 
|-
 
 
 
 
 
| [https://drive.google.com/open?id=1ldwajXL50uC7PCS63B4Wato6Dnk-svNL 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
 
|
 
|-
 
 
 
 
 
| [https://drive.google.com/open?id=1ldwajXL50uC7PCS63B4Wato6Dnk-svNL 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
 
|
 
|-
 
 
 
 
 
| [https://drive.google.com/open?id=1ldwajXL50uC7PCS63B4Wato6Dnk-svNL 16x PSNR Pretrained Model]
 
| BlueAmulet
 
| 16x
 
| Apache License 2.0 (ESRGAN's license)
 
| ESRGAN
 
| Pretrained
 
| 2020-04-20
 
| The original RRDB_PSNR_x4.pth model converted to 1x, 2x, 8x and 16x scales, intended to be used as pretrained models for new models at those scales. These are compatible with victor's 4xESRGAN.pth conversions
 
| RRDB_PSNR_x4.pth
 
|
 
|-
 
|}
 
 
 
==Pretrained Discriminators==
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
 
 
|-
 
| [https://u.pcloud.link/publink/show?code=kZkLGpXZLPOptIrA1fjXvFdIS0NpdzuWSfkk 1x Pretrained Discriminator Pack]
 
| Joey
 
| 1x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
 
 
 
 
| [https://u.pcloud.link/publink/show?code=kZkLGpXZLPOptIrA1fjXvFdIS0NpdzuWSfkk 2x Pretrained Discriminator Pack]
 
| Joey
 
| 2x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
 
 
 
 
| [https://u.pcloud.link/publink/show?code=kZkLGpXZLPOptIrA1fjXvFdIS0NpdzuWSfkk 4x Pretrained Discriminator Pack]
 
| Joey
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
| [https://u.pcloud.link/publink/show?code=kZkLGpXZLPOptIrA1fjXvFdIS0NpdzuWSfkk 8x Pretrained Discriminator Pack]
 
| Joey
 
| 8x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ 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
 
|
 
|-
 
 
 
| [https://u.pcloud.link/publink/show?code=kZPxrYXZOBnSmRzYywHg9heV55yt0JvKC3gk 4x_RRDB-G_ResNet-D (Both G and D)]
 
| Joey
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| ESRGAN (G) / ResNet (D)
 
| Pretrained
 
| 2021-01-17
 
| Clean bicubic downscales / Pretrained models (G/D)
 
| RRDB_ESRGAN_x4_old_arch.pth
 
|
 
|-
 
|}
 
 
 
=SOFVSR Models=
 
These models are for SOFVSR, they will not work in Cupscale or the main ESRGAN forks. You need this to use it: https://github.com/JoeyBallentine/Video-Inference
 
 
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
|-
 
 
 
| [https://u.pcloud.link/publink/show?code=XZMmozXZjW4hHqJu7ikbQpyeqUItTh7QJO6k 3x_Video_TSSM]
 
| Joey
 
| 3x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| SOFVSR
 
| Animation
 
| 2020-11-17
 
| none
 
|
 
|
 
|-
 
 
 
 
 
| [https://u.pcloud.link/publink/show?code=XZ2AERXZ9YpzzV4rRvySFiq3MsrTEYdEjtkV 3x_Video_TSSM_RRDB]
 
| Joey
 
| 3x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| SOFVSR RRDB / VESRGAN
 
| Animation
 
| 2020-11-25
 
| none
 
|
 
|
 
|-
 
 
 
| [https://u.pcloud.link/publink/show?code=kZ5QKLXZ5mPYmsGpGU75DLNII9AOlYQNqMjk 2x_SBS11-RRDB]
 
| Joey
 
| 2x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| SOFVSR RRDB / SOFVESRGAN
 
| Animation
 
| 2020-12-03
 
| none
 
|
 
|
 
|-
 
 
 
| [https://u.pcloud.link/publink/show?code=kZojwLXZfeqA3Eoyv6SKXXt01AlSeuHH0WKX 4x_REDSVAL-7f-RRDB-Lite (both G and D)]
 
| Joey
 
| 4x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
| SOFVSR RRDB / SOFVESRGAN Lite [nf=32, nb=12]
 
| IRL videos
 
| 2020-12-03
 
| none
 
|
 
|
 
|-
 
 
 
| [https://mega.nz/file/bpA2QTxI#j_ALxzI5rNjt-T5XcOu8P6ogtAjmFHJeggJbXLGy_Nc 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
 
|-
 
 
 
| [https://mega.nz/folder/qslgTZYQ#wE9l53sTH78B6wjPX5GRwQ 2x_VimeoScale_Unet]
 
| Sazoji
 
| 2x
 
| CC BY-SA 4.0
 
| SOFVSR-RRDB (light arch, 3 frames, nf=32, nb=12)
 
| Upscaling video content
 
| 2021-09-09
 
| This model is meant to surpass VEAI 2x while being efficient to run quickly with fp16. The real-esrgan/BSRGAN augmentation and Unet should help with videos where the resolution is not ideal and can reconstruct details without effecting blurs in most cases. This model SHOULD run faster than real-esrgan while matching the resolving and enabling some multiframe feature extraction. No major denoising/compression/blurring effects (or artifacts) should be found.
 
| Self-Trained Base for the Unet finalisation with vgg_fea discrim
 
| [https://imgsli.com/NzAyMTc Sample 1] [https://imgsli.com/NzAyMTg Sample 2] [https://imgsli.com/NzAyMTk Sample 3]
 
|-
 
 
 
| [https://mega.nz/folder/b8MTgYhA#CkKajnw0fPu5BVynl-caOQ 4x_VimeoScale]
 
| Sazoji
 
| 4x
 
| CC BY-SA 4.0
 
| SOFVSR-RRDB (5 frames)
 
| Upscaling IRL video content
 
| 2021-10-08
 
| This model is one of the longest I have trained and tuned, includes some noise training but this is not intended for deblocking/decompression. Combined with https://github.com/JoeyBallentine/Video-Inference 's fp16 mode, this should handle most SD and 720p content at or faster than ESRGAN, with a significant bump in quality.
 
| Self-Trained Base for the Unet finalisation with vgg_fea discrim
 
| [https://imgsli.com/NzUwODU Sample 1] [https://imgsli.com/NzUwODQ Sample 2] [https://imgsli.com/NzUwODc Sample 3] [https://imgsli.com/NzUwODY Sample 4]
 
|-
 
|}
 
 
 
==Pretrained SOFVSR Models==
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
|-
 
 
 
| [https://mega.nz/file/28JmyLrK#xhRP-EZKR7Vg7UjIRZQqotiFLix21JaGGLSvZq7cjt4 video_G]
 
| victorca25
 
| 4x
 
| Unknown
 
| SOFVSR net
 
|
 
|
 
| Trained on REDS' size dataset
 
| none
 
|
 
|-
 
 
 
| [https://mega.nz/file/TwwEWD7Q#wCfUvVudI17weYc1JLeM3nTeK2xiMlVdc_JN1Nov3ac VESRGAN_G]
 
| victorca25
 
| 4x
 
| Unknown
 
| RRDB
 
|
 
|
 
| Trained on REDS' size dataset
 
| none
 
|
 
|-
 
|}
 
 
 
=CAIN Models=
 
{| class="wikitable sortable"
 
|-
 
! Model Name
 
! Author
 
! Scale
 
! License
 
! Architecture
 
! Purpose (short)
 
! Date Posted
 
! Purpose (Full)
 
! Pretrained_Model_G
 
! sample
 
|-
 
 
 
CAIN is a video frame rate interpolation AI. These models are intended for use with CAIN only. These CANNOT be used with Cupscale or ESRGAN, you need this: https://gitlab.com/hubert.sontowski2007/cainapp
 
 
 
| [http://91.232.191.56/models/190581.pth 190562_vimeo_enchanced.pth]
 
| hubert
 
| 2x
 
| MIT
 
|[https://gitlab.com/hubert.sontowski2007/cainapp CAIN]
 
| RL videos - interpolation
 
| 2021-07-13
 
|
 
|
 
|
 
|-
 
 
 
 
 
| [https://cdn.discordapp.com/attachments/873173887427416114/874695897257246770/726770_JIT.pth cainliteanime.pth]
 
| hubert
 
| 2x
 
| MIT
 
|[https://gitlab.com/hubert.sontowski2007/cainapp CAIN]
 
| Anime - interpolation
 
| 2021-08-06
 
|
 
|
 
| [https://cdn.discordapp.com/attachments/724353640521007145/873861876352704533/1.webm Sample]
 
|-
 
 
 
| [https://e.pcloud.link/publink/show?code=kZhh05ZMvnTmaKOepQPfMoQlv9sMRD3nQw7 rvpV1]
 
| sudo rm -rf / --no-preserve-root#8353
 
| 2x
 
|[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]
 
|[https://gitlab.com/hubert.sontowski2007/cainapp CAIN]
 
| Video Frame Interpolation for anime openings
 
| 2021-09-14
 
|
 
| My ~~first~~ (ok technically second) attempt to create a video frame interpolation model and I like how it turned out. To use it, you can either use https://gitlab.com/hubert.sontowski2007/cainapp, https://github.com/styler00dollar/Colab-CAIN or the bot in [Game Upscale] (model called rvpv1 there, just use --model rvpv1). Some demo videos in pcloud, but you need to download them. The web player seems to playback in low fps. The architecture is mainly the same to the original CAIN, but i modified the padding to be zero padding instead. ``.pt`` means JIT model, `.pth`, means normal pytorch model. Architecture file is in pcloud as well. And no, no cupscale or flowframes. Dataset: Modified Animeinterp dataset
 
| https://files.catbox.moe/xiq9vi.mp4
 
|-
 
 
 
| [https://files.catbox.moe/nxh1cv.pth cvpv6.pth]
 
| hubert
 
| 2x
 
| MIT
 
|[https://gitlab.com/hubert.sontowski2007/cainapp CAIN]
 
| Anime - interpolation
 
| 2021-09-21
 
|
 
|
 
|
 
|-
 
|}
 

Latest revision as of 04:21, 10 August 2023

Info-icon.png We have moved to https://openmodeldb.info/. This new site has a tag and search system, which will make finding the right models for you much easier! If you have any questions, ask here: https://discord.gg/cpAUpDK

If you need to look at the old Model Database anyway, look here