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

Difference between revisions of "Old Content"

From Upscale Wiki
Jump to navigation Jump to search
Line 54: Line 54:
  
 
'''Pretrained_Model_G:''' Default PSNR_4X
 
'''Pretrained_Model_G:''' Default PSNR_4X
 +
 +
==Other Model Sources==
 +
 +
The very first Model Database outside of our Discord from Etokapa. It isn't up to date but includes some models that are not from our community or have been deprecated, so if you are lucky the links in it might still work and you might find a gem.
 +
https://docs.google.com/spreadsheets/d/1asDV7NVBlLD25bd4w77mHMxSM7tvexXySafTzSugeHE/edit#gid=0
  
 
== Scripts ==
 
== Scripts ==

Revision as of 18:12, 16 September 2019

Some Content from the Discord that will be preserved here forever.

Models

From LyonHrt: https://drive.google.com/open?id=1RpRueBeJFlkQo-KSCAFILDC8AHsl1xFt a de-dither based model trained at 500000 based on an anime dataset(edited)

From LyonHrt: https://drive.google.com/open?id=1gbJC1sM7BSBhW1e5WMymWlCcPhbGV504 a jpeg artefact removal model attempt at 160000 inters(edited)

From loinne: https://drive.google.com/open?id=1DqdeZRGpkrdi3mxVpEgW9cFLQ4jzGTA6 my attempt on Manga109 by fine-tuning RRDB_ESRGAN_x4.pth - slighly more agressive version of Manga109 by Kingdom

---

Author: kingdomakrillic

Name: 2x_Faux_1x_Colour_Banding_Removal_model

Link: https://www.mediafire.com/file/436f2cbzio6sgr4/DebandDemonstration.pth/file

Description: "I don't recommend actually using it, as I don't think I have the right combination of settings and dataset. It's just an attempt to show off the versatility of ESRGAN. If you do use it, you should downscale the results, as in addition to being debanded, it'll be upscaled by 2x."

---

Author: kingdomakrillic

Name: 2x_Faux_1x_DeDither

Scale: faux x1 (x2 nearest neighbor scaling)

Description: Tried to train a model to reduce dithering. It only partially succeeded, possibly because I started out with a smaller dataset and kept adding more and more to it out of desperation

Link: https://www.mediafire.com/file/9xb6td54hrvbck8/De-dither_attempt.zip/file

batch_size: 4

Pretrained_Model_G: None, trained from scratch

---

Author: loinne

Notice: Not recommended to use (optional)

Scale: 4

Description: Used 9e-2 Gan_weight

Link: https://drive.google.com/open?id=1DS8VrS5PwqyBZ1zzhGNDEE4BSrd_bVw0

Iterations: about 80k

batch_size: 12

Dataset_size: 4700

Pretrained_Model_G: Default PSNR_4X

Other Model Sources

The very first Model Database outside of our Discord from Etokapa. It isn't up to date but includes some models that are not from our community or have been deprecated, so if you are lucky the links in it might still work and you might find a gem. https://docs.google.com/spreadsheets/d/1asDV7NVBlLD25bd4w77mHMxSM7tvexXySafTzSugeHE/edit#gid=0

Scripts

For ESRGAN

An alternate script with alpha support https://www.dropbox.com/s/uv6hxur4qpr6za5/alpha.py?dl=0

From: Emilien I should really upload my script so you can pass upscale as an argument. It has a few params and I've added the video script from reddit. https://cdn.discordapp.com/attachments/547950274313191425/560137215104253986/test_-_remadewithfolderandvideosupport.py