4xNomosUni Rgt S Multijpg
Name: 4xNomosUnirgtsmultijpg License: CC BY 4.0 Author: Philip Hofmann Network: RGT Scale: 4 Release Date: 16.02.2024 Purpose: 4x universal DoF preserving upscaler Iterations: 87'000 epoch: 68 batchsize: 12 HRsize:...
Model source
- Kind
- Other
- File size
- 129 MB
- Version
- v4x Nomos Uni rgt s multijpg
- Updated
- Oct 26, 2026
- Source
- Hugging Face
Source description
4xNomosUni_rgt_s_multijpg
Name: 4xNomosUni_rgt_s_multijpg
License: CC BY 4.0
Author: Philip Hofmann
Network: RGT
Scale: 4
Release Date: 16.02.2024
Purpose: 4x universal DoF preserving upscaler
Iterations: 87'000
epoch: 68
batch_size: 12
HR_size: 128
Dataset: nomosuni
Number of train images: 2989
OTF Training: No
Pretrained_Model_G: DAT_2_x4
Description:
4x universal DoF preserving upscaler, pair trained with jpg degradation (down to 40) and multiscale (down_up, bicubic, bilinear, box, nearest, lanczos) in neosr with adamw, unet and pixel, perceptual, gan, color and ldl losses.
Face_4xNomosUni_rgt_s_multijpg Car_4xNomosUni_rgt_s_multijpg Digitalart_4xNomosUni_rgt_s_multijpg SDRevolverMouse_4xNomosUni_rgt_s_multijpg
Sources
1 source
Sources
1 sourceVerified Oct 26
Model artifacts
1 artifact
Model artifacts
1 artifact4xNomosUni_rgt_s_multijpg.safetensors
safetensors · 129 MB · SHA-256 b1251e047bab…60ce · 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/4xNomosUni_rgt_s_multijpg) # 4xNomosUni_rgt_s_multijpg Name: 4xNomosUni_rgt_s_multijpg License: CC BY 4.0 Author: Philip Hofmann Network: RGT Scale: 4 Release Date: 16.02.2024 Purpose: 4x universal DoF preserving upscaler Iterations: 87'000 epoch: 68 batch_size: 12 HR_size: 128 Dataset: nomosuni Number of train images: 2989 OTF Training: No Pretrained_Model_G: DAT_2_x4 Description: 4x universal DoF preserving upscaler, pair trained with jpg degradation (down to 40) and multiscale (down_up, bicubic, bilinear, box, nearest, lanczos) in neosr with adamw, unet and pixel, perceptual, gan, color and ldl losses. Examples: [Imgsli](https://imgsli.com/MjQwNDk5) [Slowpics](https://slow.pics/s/sIRl3w7J)    
Source context: 0 downloads · 0 likes · Pipeline image-to-image · Repo Phips/4xNomosUni_rgt_s_multijpg
