ModelPublicadoExterno

4xmssim Mosr Pretrain

Scale: 4 Architecture: MoSR Architecture Option: mosr

Fuentehuggingface.co/Phips/4xmssim_mosr_pretrain/tree/48e7222e2dd4842d1830bb8bb0007cdc42bd456e

TipoOtherVersiónVersion 1Ccalidad

Fuente del modelo

Tipo: Other
Tamaño del archivo: 8,20–16,4 MB
Versión: vVersion 1
Actualizado: 15 sept 2026
Fuente: Hugging Face

Descripción de la fuente

Link to Github Release

4xmssim_mosr_pretrain

Scale: 4
Architecture: MoSR
Architecture Option: mosr

Author: Philip Hofmann
License: CC-BY-0.4
Purpose: Pretrained
Subject: Photography
Input Type: Images
Release Date: 25.08.2024

Dataset: nomosv2
Dataset Size: 6000
OTF (on the fly augmentations): No
Pretrained Model: None
Iterations: 420'000
Batch Size: 6
Patch Size: 64

Description:
A 4x MoSR pretrain model with mssim only on the Nomos2 dataset, usable as a pretrain when starting training new mosr models.

Training metrics graphs:
image

Showcase:
Slowpics

Fuentes

1 fuente

Hugging FacePrincipalVersión 48e7222e2dd4842d1830bb8bb0007cdc42bd456e

huggingface.co/Phips/4xmssim_mosr_pretrain/tree/48e7222e2dd4842d1830bb8bb0007cdc42bd456e

Verificado 8 ago

Artefactos del modelo

2 artefactos

4xmssim_mosr_pretrain.pth

pth · 16,4 MB · SHA-256 ce1f5ac585ad…cbf5 · Hugging Face

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4xmssim_mosr_pretrain.safetensors

safetensors · 8,20 MB · SHA-256 bcc77d62c936…e8b3 · Hugging Face

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Extractos de fuentes

2 extractos

Readme8 agohuggingface.co/Phips/4xmssim_mosr_pretrain

--- license: cc-by-4.0 pipeline_tag: image-to-image tags: - pytorch - super-resolution - pretrain --- [Link to Github Release](https://github.com/Phhofm/models/releases/tag/4xmssim_mosr_pretrain) # 4xmssim_mosr_pretrain Scale: 4 Architecture: [MoSR](https://github.com/umzi2/MoSR) Architecture Option: [mosr](https://github.com/umzi2/MoSR/blob/95c5bf73cca014493fe952c2fbc0bdbe593da08f/neosr/archs/mosr_arch.py#L117) Author: Philip Hofmann License: CC-BY-0.4 Purpose: Pretrained Subject: Photography Input Type: Images Release Date: 25.08.2024 Dataset: [nomosv2](https://github.com/muslll/neosr/?tab=readme-ov-file#-datasets) Dataset Size: 6000 OTF (on the fly augmentations): No Pretrained Model: None Iterations: 420'000 Batch Size: 6 Patch Size: 64 Description: A 4x [MoSR](https://github.com/umzi2/MoSR) pretrain model with mssim only on the Nomos2 dataset, usable as a pretrain when starting training new mosr models. Training metrics graphs: ![image](https://github.com/user-attachments/assets/b66b75d8-f83c-4b6e-8094-ef5e5cba9c81) Showcase: [Slowpics](https://slow.pics/c/T59QQaQ0)

Note8 agohuggingface.co/Phips/4xmssim_mosr_pretrain

Source context: 0 downloads · 0 likes · Pipeline image-to-image · Repo Phips/4xmssim_mosr_pretrain