Scale: 4 Architecture: RealPLKSR with Dysample Architecture Option: realplksr
Modellquelle
Quellenbeschreibung
Scale: 4
Architecture: RealPLKSR with Dysample
Architecture Option: realplksr
Quellen
1 QuelleVerifiziert 8. Aug.
Modellartefakte
2 Artefakte4xArtFaces_realplksr_dysample.pth
pth · 28,3 MB · SHA-256 bf313b7bad11…271a · Hugging Face
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safetensors · 28,3 MB · SHA-256 f405b4a2571a…a58c · Hugging Face
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2 AuszügeAuthor: 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
--- 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:     [
Source context: 0 downloads · 0 likes · Pipeline image-to-image · Repo Phips/4xArtFaces_realplksr_dysample