4xNomosUniDAT Otf
Name: 4xNomosUniDATotf Author: Philip Hofmann Release: 23.09.2023 License: CC BY 4.0 Network: DAT Scale: 4 Purpose: 4x multipurpose upscaler otf version (resize, jpg, noise, blur) Iterations: 150000 epoch: 70...
Source du modèle
- Type
- Other
- Taille du fichier
- 147 MB
- Version
- vRevision fce2ce8
- Mis à jour
- 26 oct. 2026
- Téléchargements
- 0
- Source
- Hugging Face
Description de la source
4xNomosUniDAT_otf
Name: 4xNomosUniDAT_otf
Author: Philip Hofmann
Release: 23.09.2023
License: CC BY 4.0
Network: DAT
Scale: 4
Purpose: 4x multipurpose upscaler otf version (resize, jpg, noise, blur)
Iterations: 150000
epoch: 70
batch_size: 8
HR_size: 128
Dataset: nomosuni
Number of train images: 2989
OTF Training: Yes
Pretrained_Model_G: DAT_x4.pth
Description: 4x multipurpose dat upscaler that handles resize, jpg compression, noise and blur. Trained on DAT with Adan, U-Net SN, huber pixel loss, huber perceptual loss, vanilla gan loss and huber color loss, on paired nomos_uni (universal dataset containing photographs, anime, text, maps, music sheets, paintings ..).
Some Imgsli examples:
Real degraded photo
JPG Compression
Noisy Photo
Manga
Example1 Example2 Example3 Example4
Sources
1 source
Sources
1 sourceVérifié 26 oct.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefact4xNomosUniDAT_otf.safetensors
safetensors · 147 MB · SHA-256 29a4e94fca48…69a9 · Hugging Face
Download fileExtraits de sources
3 extraits
Extraits de sources
3 extraits--- 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/4xNomosUniDAT_otf) # 4xNomosUniDAT_otf Name: 4xNomosUniDAT_otf Author: Philip Hofmann Release: 23.09.2023 License: CC BY 4.0 Network: DAT Scale: 4 Purpose: 4x multipurpose upscaler otf version (resize, jpg, noise, blur) Iterations: 150000 epoch: 70 batch_size: 8 HR_size: 128 Dataset: nomosuni Number of train images: 2989 OTF Training: Yes Pretrained_Model_G: DAT_x4.pth Description: 4x multipurpose dat upscaler that handles resize, jpg compression, noise and blur. Trained on DAT with Adan, U-Net SN, huber pixel loss, huber perceptual loss, vanilla gan loss and huber color loss, on paired nomos_uni (universal dataset containing photographs, anime, text, maps, music sheets, paintings ..). Some Imgsli examples: [Real degraded photo](https://imgsli.com/MjA4NjMw) [JPG Compression](https://imgsli.com/MjA4NjI2) [Noisy Photo](https://imgsli.com/MjA4NjI4) [Manga](https://imgsli.com/MjA4NjMx)    
Source context: 0 downloads · 3 likes · Pipeline image-to-image · Repo Phips/4xNomosUniDAT_otf
Source context: 0 downloads · 2 likes · Pipeline image-to-image · Repo Phips/4xNomosUniDAT_otf
