2xEvangelion Omnisr
Name: 2xEvangelionomnisr License: CC BY 4.0 Release Date: 08.02.2024 (dd/mm/yy) Author: Philip Hofmann Network: OmniSR Scale: 2 Purpose: 2x upscaler for evangelion episodes Iterations: 218'000 epoch: 198 batchsize:...
Model source
- Kind
- Other
- File size
- 3.03 MB
- Version
- v2x Evangelion omnisr
- Updated
- Oct 26, 2026
- Source
- Hugging Face
Source description
2xEvangelion_omnisr
Name: 2xEvangelion_omnisr
License: CC BY 4.0
Release Date: 08.02.2024 (dd/mm/yy)
Author: Philip Hofmann
Network: OmniSR
Scale: 2
Purpose: 2x upscaler for evangelion episodes
Iterations: 218'000
epoch: 198
batch_size: 12-32
HR_size: 128-256
Dataset: "Upscale Archive Evangelion DVD's" by pwnsweet
Number of train images: 3174
OTF Training: No
Pretrained_Model_G: 2xHFA2kOmniSR
Description:
2x upscaler for evangelion episodes on the evangelion dataset provided by pwnsweet, which called for model trainers to train models on it on the OmniSR Architecture.
Examples (Wavelet Color Corrected):
Example1
Example2
Example3
Sources
1 source
Sources
1 sourceVerified Oct 26
Model artifacts
1 artifact
Model artifacts
1 artifact2xEvangelion_omnisr.safetensors
safetensors · 3.03 MB · SHA-256 5a999a3a43c2…4b00 · Hugging Face
Download fileSource excerpts
2 excerpts
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/2xEvangelion_omnisr) # 2xEvangelion_omnisr Name: 2xEvangelion_omnisr License: CC BY 4.0 Release Date: 08.02.2024 (dd/mm/yy) Author: Philip Hofmann Network: [OmniSR](https://github.com/Francis0625/Omni-SR) Scale: 2 Purpose: 2x upscaler for evangelion episodes Iterations: 218'000 epoch: 198 batch_size: 12-32 HR_size: 128-256 Dataset: "Upscale Archive Evangelion DVD's" by pwnsweet Number of train images: 3174 OTF Training: No Pretrained_Model_G: 2xHFA2kOmniSR Description: 2x upscaler for evangelion episodes on the evangelion dataset provided by pwnsweet, which called for model trainers to train models on it on the OmniSR Architecture. Examples (Wavelet Color Corrected):   
Source context: 0 downloads · 1 likes · Pipeline image-to-image · Repo Phips/2xEvangelion_omnisr
