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license: cc-by-4.0
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license: cc-by-4.0
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pipeline_tag: image-to-image
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tags:
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- pytorch
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- super-resolution
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---
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[Link to Github Release](https://github.com/Phhofm/models/releases/tag/4xBHI_dat2_multiblurjpg)
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# 4xBHI_dat2_multiblurjpg
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Scale: 4x
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Network type: DAT2
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Author: Philip Hofmann
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License: CC-BY-4.0
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Purpose: 4x upscaling images, handles jpg compression
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Pretrained Model: 4xNomos2_hq_dat2
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Training iterations: 320000
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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.
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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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