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4xArtFaces Realplksr Dysample

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

KindOtherVersion4x Art Faces realplksr dysampleCgrade

Model source

Kind
Other
File size
28.3 MB
Version
v4x Art Faces realplksr dysample
Updated
Oct 26, 2026
Source
Hugging Face

Source description

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

Sources

1 source
Hugging FacePrimaryVersion 42a3d9b3c38bcbbbfa168002df27c9632ee87f08
huggingface.co/Phips/4xArtFaces_realplksr_dysample/tree/42a3d9b3c38bcbbbfa168002df27c9632ee87f08

Verified Oct 26

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Model artifacts

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4xArtFaces_realplksr_dysample.pth

pth · 28.3 MB · SHA-256 bf313b7bad11…271a · Hugging Face

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4xArtFaces_realplksr_dysample.safetensors

safetensors · 28.3 MB · SHA-256 f405b4a2571a…a58c · Hugging Face

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Source excerpts

2 excerpts

--- license: cc-by-4.0 pipeline_tag: image-to-image tags: - pytorch - super-resolution --- [Link to Github Release](https://github.com/Phhofm/models/releases/tag/4xArtFaces_realplksr_dysample) # 4xArtFaces_realplksr_dysample Scale: 4 Architecture: [RealPLKSR with Dysample](https://github.com/muslll/neosr/?tab=readme-ov-file#supported-archs) Architecture Option: [realplksr](https://github.com/muslll/neosr/blob/master/neosr/archs/realplksr_arch.py) Author: Philip Hofmann License: CC-BY-0.4 Purpose: Restoration Subject: Art Input Type: Images Release Date: 08.08.2024 Dataset: [ArtFaces](https://github.com/Phhofm/models/releases/tag/dataset_artfaces) Dataset Size: 5'630 OTF (on the fly augmentations): No Pretrained Model: [4xNomos2_realplksr_dysample](https://github.com/Phhofm/models/releases/tag/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](https://github.com/Phhofm/models/releases/tag/dataset_artfaces) which is a curated version of the [metfaces dataset](https://github.com/NVlabs/metfaces-dataset) for the purpose of training single image super resolution models. Showcase: ![Example1](https://github.com/user-attachments/assets/5901df2c-d9a3-488e-b270-56b41e7ab1f1) ![Example2](https://github.com/user-attachments/assets/0cc97f6a-af0c-416d-adbf-1d61817ff8fe) ![Example3](https://github.com/user-attachments/assets/b9b3bb46-c139-40e2-8dc7-25873b027716) ![Example4](https://github.com/user-attachments/assets/25c623a6-72d5-42c0-af5b-64d0df011b59) [![Example5](https://github.com/user-attachments/assets/f1f5f177-b5f0-4c6e-8865-b8d4087e2c68)

Source context: 0 downloads · 0 likes · Pipeline image-to-image · Repo Phips/4xArtFaces_realplksr_dysample