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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...

TypeOtherVersionRevision fce2ce8CClasse

Source du modèle

Type
Other
Taille du fichier
147 MB
Version
vRevision fce2ce8
Mis à jour
26 oct. 2026
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0
Source
Hugging Face

Description de la source

Link to Github Release

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
Hugging FacePrincipalVersion fce2ce83d597c3f79cb0671702901049c5af0959
huggingface.co/Phips/4xNomosUniDAT_otf/tree/fce2ce83d597c3f79cb0671702901049c5af0959

Vérifié 26 oct.

Artefacts du modèle

1 artefact

4xNomosUniDAT_otf.safetensors

safetensors · 147 MB · SHA-256 29a4e94fca48…69a9 · Hugging Face

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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) ![Example1](https://github.com/Phhofm/models/assets/14755670/0bc23ace-c406-408a-b19b-2743319625b4) ![Example2](https://github.com/Phhofm/models/assets/14755670/c0dcde4f-d5cf-4e44-9a97-5aa2efc161a7) ![Example3](https://github.com/Phhofm/models/assets/14755670/7d787f9a-dd7d-4947-8399-8730b9bdc9b9) ![Example4](https://github.com/Phhofm/models/assets/14755670/755c8503-0f16-4898-bb2b-a23969dce11b)

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