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---
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_multiblurjpg
Scale: 4x
Network type: DAT2
Author: Philip Hofmann
License: CC-BY-4.0
Purpose: 4x upscaling images, handles jpg compression
Pretrained Model: 4xNomos2_hq_dat2
Training iterations: 320000
Description: 4x dat2 upscaling model, trained with down_up,linear, cubic_mitchell, lanczos, gauss and box scaling algos, some average, gaussian and anisotropic blurs and jpg compression. Trained on my BHI sisr dataset.
You can also try out the 4xBHI_dat2_multiblur checkpoint below (trained to 250000 iters), which cannot handle compression but might give just slightly better output on non-degraded input.
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