4xBHI Dat2 Multiblur
Scale: 4x Network type: DAT2 Author: Philip Hofmann License: CC-BY-4.0 Purpose: 4x upscaling uncompressed images Pretrained Model: 4xNomos2hqdat2 Training iterations: 250000 Description: 4x dat2 upscaling model,...
Source du modèle
- Type
- Other
- Taille du fichier
- 133 MB
- Version
- v4x BHI dat2 multiblur
- Mis à jour
- 20 oct. 2026
- Source
- Hugging Face
Description de la source
4xBHI_dat2_multiblur
Scale: 4x
Network type: DAT2
Author: Philip Hofmann
License: CC-BY-4.0
Purpose: 4x upscaling uncompressed images
Pretrained Model: 4xNomos2_hq_dat2
Training iterations: 250000
Description: 4x dat2 upscaling model, trained with down_up,linear, cubic_mitchell, lanczos, gauss and box scaling algos, some average, gaussian and anisotropic blurs. Trained on my BHI sisr dataset.
Sources
1 source
Sources
1 sourceVérifié 20 oct.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefact4xBHI_dat2_multiblur.safetensors
safetensors · 133 MB · SHA-256 10cc463d27e3…3ca3 · Hugging Face
Download fileExtraits de sources
2 extraits
Extraits de sources
2 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/4xBHI_dat2_multiblurjpg) # 4xBHI_dat2_multiblur Scale: 4x Network type: DAT2 Author: Philip Hofmann License: CC-BY-4.0 Purpose: 4x upscaling uncompressed images Pretrained Model: 4xNomos2_hq_dat2 Training iterations: 250000 Description: 4x dat2 upscaling model, trained with down_up,linear, cubic_mitchell, lanczos, gauss and box scaling algos, some average, gaussian and anisotropic blurs. Trained on my BHI sisr dataset.
Source context: 0 downloads · 0 likes · Pipeline image-to-image · Repo Phips/4xBHI_dat2_multiblur
