--- 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.  