This repository will contain extra models that users can download and use in Upscayl. Upscayl v2.5 comes with a Custom Models option where users can select a models folder and use their own imported models.
- Download this repository
- Extract the downloaded ZIP file.
- Open Upscayl and click the Settings tab.
- Click on the "Select Folder" button under the "ADD CUSTOM MODELS" section.
- Select the
modelsfolder in the earlier extracted folder. - Go back to Upscayl screen and select your custom models.
The Upscayl wiki has a guide on how to convert pre-existing ESRGAN models!
4x_NMKD-Siax_200k- NMKD Siax - Universal upscaler for clean and slightly compressed images (JPEG quality 75 or better), based on CX loss + PatchGAN.4x_NMKD-Superscale-SP_178000_G- NMKD Superscale - Perfect upscaling of clean (artifact-free) real-world images.- RealESRGANv3 - Lightweight and faster versions of the default model, with (very slightly) worse quality.
RealESRGAN_General_WDN_x4_v3- wide and deep network modelRealESRGAN_General_x4_v3
unknown-2.0.1- "Unknown" - We still don't know what this model is, but we accidently included it in place of Ultrasharp in v2.0.1 and @royal-rigolo liked it, so here it is!uniscale_restoreby Kim2091.4xLSDIRby Phhofm.4xLSDIRplusCby Phhofm.4xLSDIRCompactC3as a SRVGGNET (Compact) model, meaning inference times should be faster, by Phhofm.4xNomos8kSCby Phhofm.4xHFA2kby Phhofm.
animevideo models for scales x2, x3 and x4.
realesr-animevideov3-x2realesr-animevideov3-x3realesr-animevideov3-x4
Note
Upscayl will use the model file name to detect the scale that it supports. If the model file name has 'x2' or '2x' in its name, Upscayl-NCNN will set the target resolution for upscaling accordingly. This doesn't affect the post-processing scaling option, this only affects the actual upscaling via ESRGAN.
