Difference between revisions of "Old Content"

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Tag: visualeditor
(Added Normal Map models)
 
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Some Content from the Discord that will be preserved here forever.
 
Some Content from the Discord that will be preserved here forever.
  
<br />
+
==ESRGAN Models==
  
== Models ==
+
===Scaling===
From LyonHrt: <nowiki>https://drive.google.com/open?id=1RpRueBeJFlkQo-KSCAFILDC8AHsl1xFt</nowiki> a de-dither based model trained at 500000 based on an anime dataset(edited)
 
  
From LyonHrt: <nowiki>https://drive.google.com/open?id=1gbJC1sM7BSBhW1e5WMymWlCcPhbGV504</nowiki> a jpeg artefact removal model attempt at 160000 inters(edited)
+
====Texture Maps====
  
From loinne: <nowiki>https://drive.google.com/open?id=1DqdeZRGpkrdi3mxVpEgW9cFLQ4jzGTA6</nowiki> my attempt on Manga109 by fine-tuning RRDB_ESRGAN_x4.pth - slighly more agressive version of Manga109 by Kingdom
+
=====Normal Maps=====
 +
 
 +
{| class="wikitable sortable"
 +
|-
 +
{{ModelDBColumns|Name|Author|Scale|License|Purpose|Iterations|Batch Size|HR Size|Dataset Size|Dataset|Pretrained Model}}
 +
|-
 +
|[https://mega.nz/#!Sq52DIQD!v01R93hb8Je0_8aaXLiZwKzOslDv7-FEri5_FW7H-Pw Normal Maps]||[[User:Alsa|Alsa]]||4||[https://creativecommons.org/licenses/by-nc-sa/4.0/ CC BY-NC-SA 4.0]||Normal Maps||36K||27||128||?||Custom (Normal Maps)||[https://drive.google.com/file/d/14eWzh-AG6BsXX3tSiPgfQKs_zPHDOwI7/view Normal Maps - Skyrim artifacted]
 +
|-
 +
|[https://drive.google.com/file/d/14eWzh-AG6BsXX3tSiPgfQKs_zPHDOwI7/view Normal Maps - Skyrim artifacted]||Deorder||4||[https://creativecommons.org/publicdomain/zero/1.0/ CC0]||Skyrim Normal Maps||145K||?||128||?||Skyrim Normal Maps||?
 +
|}
 +
 
 +
The first one is based on the second one it was trained, with a higher learning rate and insane n_workers and batch_size values. It is meant to replace the old Normal Map model from Deorder, but without adding BC1 compression to your normal maps.
 +
 
 +
The second one was trained on Skyrim’s Normal Maps, including compression artifacts, so it will have to be redone.
 +
 
 +
== Others ==
 +
 
 +
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
  
 
---
 
---
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Name: 2x_Faux_1x_Colour_Banding_Removal_model
 
Name: 2x_Faux_1x_Colour_Banding_Removal_model
  
Link: <nowiki>https://www.mediafire.com/file/436f2cbzio6sgr4/DebandDemonstration.pth/file</nowiki>
+
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."
 
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."
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---
 
---
  
Author: kingdomakrillic
+
'''Author:''' kingdomakrillic
  
'''Name: 2x_Faux_1x_DeDither'''
+
'''Name:''' 2x_Faux_1x_DeDither
  
 
'''Scale:''' faux x1 (x2 nearest neighbor scaling)  
 
'''Scale:''' faux x1 (x2 nearest neighbor scaling)  
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'''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  
 
'''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:''' <nowiki>https://www.mediafire.com/file/9xb6td54hrvbck8/De-dither_attempt.zip/file</nowiki>
+
'''Link:''' https://www.mediafire.com/file/9xb6td54hrvbck8/De-dither_attempt.zip/file  
  
 
'''batch_size:''' 4  
 
'''batch_size:''' 4  
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---
 
---
  
Author: loinne
+
'''Author:''' loinne
  
 
'''Notice:''' Not recommended to use (optional)  
 
'''Notice:''' Not recommended to use (optional)  
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'''Description:''' Used 9e-2 Gan_weight  
 
'''Description:''' Used 9e-2 Gan_weight  
  
'''Link:''' <nowiki>https://drive.google.com/open?id=1DS8VrS5PwqyBZ1zzhGNDEE4BSrd_bVw0</nowiki>
+
'''Link:''' https://drive.google.com/open?id=1DS8VrS5PwqyBZ1zzhGNDEE4BSrd_bVw0  
  
 
'''Iterations:''' about 80k  
 
'''Iterations:''' about 80k  
Line 55: Line 75:
  
 
'''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
 +
 +
==PPON Models==
 +
 +
===Upscaling===
 +
 +
====Pixel Art====
 +
 +
{| class="wikitable sortable"
 +
|-
 +
!Name!!Author!!Scale!!License!!Purpose!!Iterations (Phase 1; 2; 3)!!Batch Size (Phase 1; 2; 3)!!HR Size (Phase 1; 2; 3)!!Dataset Size (Phase 1; 2; 3)!!Dataset (Phase 1; 2; 3)!!Pretrained Model
 +
|-
 +
|[https://mega.nz/#!nkhSiSSJ!TS2H2Sg9khLFKayyjz6xix-Id7x-8kbkSczlwu9e6zM Pixie]||[https://github.com/victorca25 victorca25]||4|| ||Pixel Art / some Cartoons||80K(?; ?; ?)||8; 8; 8||192; 192; 192||?; ?; ?||Custom(Drawings); Custom(Drawings); Custom(Drawings)||[https://drive.google.com/drive/folders/112qwpKHNt5TC3xyzGxYAhYaPHQqo_VrA PPON]
 +
|-
 +
|[https://mega.nz/#!2swygARK!nSZgsN4HR267B8kQzRXNIS42xMWrPtggAM6XcJFhD7I xBRZ+]||[https://github.com/victorca25 victorca25]||4|| ||Pixel Art||60K(?; ?; ?)||8; 8; 8||128; 128; 128||?; ?; ?||Custom (xBRZ images); Custom (xBRZ images); Custom (Drawings)
 +
|[https://mega.nz/#!nkhSiSSJ!TS2H2Sg9khLFKayyjz6xix-Id7x-8kbkSczlwu9e6zM Pixie]
 +
|}
 +
 +
===Pretrained models for different scales===
 +
 +
{| class="wikitable sortable"
 +
|-
 +
{{ModelDBColumns|Name|Author|Scale}}
 +
|-
 +
|[https://drive.google.com/drive/folders/112qwpKHNt5TC3xyzGxYAhYaPHQqo_VrA PPON]||[https://github.com/Zheng222 Zheng Hui (惠政)]||4
 +
|}
  
 
== Scripts ==
 
== Scripts ==
  
 
=== For ESRGAN ===
 
=== For ESRGAN ===
An alternate script with alpha support <nowiki>https://www.dropbox.com/s/uv6hxur4qpr6za5/alpha.py?dl=0</nowiki>
+
 
<br />
+
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

Latest revision as of 15:03, 1 September 2020

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

ESRGAN Models

Scaling

Texture Maps

Normal Maps
Name
Author
Scale
License
Purpose
Iterations
Batch Size
HR Size
Dataset Size
Dataset
Pretrained Model
"
Normal Maps Alsa 4 CC BY-NC-SA 4.0 Normal Maps 36K 27 128 ? Custom (Normal Maps) Normal Maps - Skyrim artifacted
Normal Maps - Skyrim artifacted Deorder 4 CC0 Skyrim Normal Maps 145K ? 128 ? Skyrim Normal Maps ?

The first one is based on the second one it was trained, with a higher learning rate and insane n_workers and batch_size values. It is meant to replace the old Normal Map model from Deorder, but without adding BC1 compression to your normal maps.

The second one was trained on Skyrim’s Normal Maps, including compression artifacts, so it will have to be redone.

Others

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

PPON Models

Upscaling

Pixel Art

Name Author Scale License Purpose Iterations (Phase 1; 2; 3) Batch Size (Phase 1; 2; 3) HR Size (Phase 1; 2; 3) Dataset Size (Phase 1; 2; 3) Dataset (Phase 1; 2; 3) Pretrained Model
Pixie victorca25 4 Pixel Art / some Cartoons 80K(?; ?; ?) 8; 8; 8 192; 192; 192 ?; ?; ? Custom(Drawings); Custom(Drawings); Custom(Drawings) PPON
xBRZ+ victorca25 4 Pixel Art 60K(?; ?; ?) 8; 8; 8 128; 128; 128 ?; ?; ? Custom (xBRZ images); Custom (xBRZ images); Custom (Drawings) Pixie

Pretrained models for different scales

Name
Author
Scale
{{{4}}}
{{{5}}}
{{{6}}}
{{{7}}}
{{{8}}}
{{{9}}}
{{{10}}}
{{{11}}}
"
PPON Zheng Hui (惠政) 4

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