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Phips/4xDRCT-mssim-pretrains
4xDRCT-mssim-pretrains is a image-to-image model from Phips. Use it when you need one image transformed into another. The card lists the license as cc-by-4.0.
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Updated Oct 10, 2024
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From the Hugging Face model README
Since no DRCT model releases exist yet, I am releasing my drct-s, drct and drct-l pretrains.
These can be used to speed up and stabilize early training stages when training new drct models.
Trained with mssim (and augs, and color and lumaloss) on downscaled nomosuni.
Training files are also provided additionally.
Scale: 4
Architecture: DRCT
Architecture Option: DRCT-S
Author: Philip Hofmann
License: CC-BY-0.4
Purpose: Pretrained
Subject: Anime, Photography
Input Type: Images
Release Date: 28.04.2024
Dataset: nomos_uni
Dataset Size: 2989
OTF (on the fly augmentations): No
Pretrained Model: None (=From Scratch)
Iterations: 75'000
Batch Size: 6
GT Size: 128-320
Description: A pretrain to start drct-s model training, since there are no official released drct pretrains yet I trained these myself and release them here.
Scale: 4
Architecture: DRCT
Architecture Option: DRCT
Author: Philip Hofmann
License: CC-BY-0.4
Purpose: Pretrained
Subject: Anime, Photography
Input Type: Images
Release Date: 28.04.2024
Dataset: nomos_uni
Dataset Size: 2989
OTF (on the fly augmentations): No
Pretrained Model: None (=From Scratch)
Iterations: 95'000
Batch Size: 2-6
GT Size: 128-320
Description: A pretrain to start drct model training, since there are no official released drct pretrains yet I trained these myself and release them here.
Scale: 4
Architecture: DRCT
Architecture Option: DRCT-L
Author: Philip Hofmann
License: CC-BY-0.4
Purpose: Pretrained
Subject: Anime, Photography
Input Type: Images
Release Date: 28.04.2024
Dataset: nomos_uni
Dataset Size: 2989
OTF (on the fly augmentations): No
Pretrained Model: None (=From Scratch)
Iterations: 108'000
Batch Size: 2-6
GT Size: 128-320
Description: A pretrain to start drct-l model training, since there are no official released drct pretrains yet I trained these myself and release them here.
Showcase: