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metadata
license: cc-by-4.0
pipeline_tag: image-to-image
tags:
  - pytorch
  - super-resolution

Link to Github Release

4xArtFaces_realplksr_dysample

Scale: 4
Architecture: RealPLKSR with Dysample
Architecture Option: realplksr

Author: Philip Hofmann
License: CC-BY-0.4
Purpose: Restoration
Subject: Art
Input Type: Images
Release Date: 08.08.2024

Dataset: ArtFaces
Dataset Size: 5'630
OTF (on the fly augmentations): No
Pretrained Model: 4xNomos2_realplksr_dysample
Iterations: 139'000
Batch Size: 6
Patch Size: 64

Description:
A Dysample RealPLKSR 4x upscaling model for art / painted faces.
Based on my ArtFaces Dataset which is a curated version of the metfaces dataset for the purpose of training single image super resolution models.

Showcase:
Example1 Example2 Example3 Example4 [Example5