2xNomosUni Compact Multijpg
Name: 2xNomosUnicompactmultijpg Author: Philip Hofmann Release Date: 13.12.2023 License: CC BY 4.0 Network: Compact (SRVGGNet) Scale: 2 Purpose: 2x fast universal upscaler Iterations: 30'000 epoch: 17 batchsize: 9...
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- 1,15 MB
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- vRevision 4774921
- Aktualisiert
- 27. Okt. 2026
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- Hugging Face
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2xNomosUni_compact_multijpg
Name: 2xNomosUni_compact_multijpg
Author: Philip Hofmann
Release Date: 13.12.2023
License: CC BY 4.0
Network: Compact (SRVGGNet)
Scale: 2
Purpose: 2x fast universal upscaler
Iterations: 30'000
epoch: 17
batch_size: 9
HR_size: 512
Dataset: nomosuni
Number of train images: 2989
OTF Training: No
Pretrained_Model_G: 2x-Compact-Pretrain
Description:
2x compact fast universal upscaler pair trained with jpg degradation (down to 40) and multiscale (down_up, bicubic, bilinear, box, nearest, lanczos).
2xNomosUni_compact_multijpg
2xNomosUni_compact_multijpg
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1 Quelle
Quellen
1 QuelleVerifiziert 27. Okt.
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Modellartefakte
1 Artefakt2xNomosUni_compact_multijpg.safetensors
safetensors · 1,15 MB · SHA-256 ea51bc7aa05c…0401 · Hugging Face
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2 Auszüge--- 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/2xNomosUni_compact_multijpg) # 2xNomosUni_compact_multijpg Name: 2xNomosUni_compact_multijpg Author: Philip Hofmann Release Date: 13.12.2023 License: CC BY 4.0 Network: Compact (SRVGGNet) Scale: 2 Purpose: 2x fast universal upscaler Iterations: 30'000 epoch: 17 batch_size: 9 HR_size: 512 Dataset: nomosuni Number of train images: 2989 OTF Training: No Pretrained_Model_G: 2x-Compact-Pretrain Description: 2x compact fast universal upscaler pair trained with jpg degradation (down to 40) and multiscale (down_up, bicubic, bilinear, box, nearest, lanczos).  
Source context: 0 downloads · 2 likes · Pipeline image-to-image · Repo Phips/2xNomosUni_compact_multijpg
