4xLSDIRCompactN3
Name: 4xLSDIRCompactN3 Author: Philip Hofmann Release Date: 11.04.2023 License: CC BY 4.0 Model Architecture: SRVGGNetCompact Scale: 4 Purpose: Upscale good quality input photos to x4 their size Iterations: 185'000...
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 1,19 MB
- Versión
- v4x LSDIRCompact N3
- Actualizado
- 27 oct 2026
- Fuente
- Hugging Face
Descripción de la fuente
4xLSDIRCompactN3
Name: 4xLSDIRCompactN3
Author: Philip Hofmann
Release Date: 11.04.2023
License: CC BY 4.0
Model Architecture: SRVGGNetCompact
Scale: 4
Purpose: Upscale good quality input photos to x4 their size
Iterations: 185'000
batch_size: Variable(1-10)
HR_size: 256
Dataset: LSDIR
Dataset_size: 84991 hr + 84991 lr
OTF Training No
Pretrained_Model_G: 4x_Compact_Pretrain.pth
Description: The original 4xLSDIRCompact a bit more trained, cannot handle degradation
Total Training Time: 32+ hours
image image
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 27 oct
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefacto4xLSDIRCompactN3.safetensors
safetensors · 1,19 MB · SHA-256 4ff5a58f8a52…f025 · Hugging Face
Download fileExtractos de fuentes
2 extractos
Extractos de fuentes
2 extractos--- 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/4xLSDIRCompact3) # 4xLSDIRCompactN3 **Name:** 4xLSDIRCompactN3 **Author:** Philip Hofmann **Release Date:** 11.04.2023 **License:** CC BY 4.0 **Model Architecture:** SRVGGNetCompact **Scale:** 4 **Purpose:** Upscale good quality input photos to x4 their size **Iterations:** 185'000 **batch_size:** Variable(1-10) **HR_size:** 256 **Dataset:** LSDIR **Dataset_size:** 84991 hr + 84991 lr **OTF Training** No **Pretrained_Model_G:** 4x_Compact_Pretrain.pth **Description:** The original 4xLSDIRCompact a bit more trained, cannot handle degradation **Total Training Time:** 32+ hours  
Source context: 0 downloads · 0 likes · Pipeline image-to-image · Repo Phips/4xLSDIRCompactN3
