SURPRISE ;)Merry Christmas, everyone. As a little Christmas gift for you all, I've been working on a new version for the SD 1.5 version of Juggernaut in my spare time for the past few weeks.I took a small portion of the JuggernautXL dataset and trained it on SD 1.5 (Base Juggernaut Final), while also updating the epiCRealism model in the merge. However, the RPG and Diva models that were added in the 'Aftermath' version have been removed.Images were created with the following settings: 512*768 Sampler: DPM++ 2M Karras Steps: 35 CFG: 7 HiRes Fix: Sampler: 4xNMKD Siax 200k Steps: 15 Denoise: 0.5 Upscale: 2Lastly, the recipe for the last Juggernaut (Aftermath) version on SD 1.5:SD 1.5 BaseTraining Set 1 (0.65)<a target="_blank" rel="ugc" href="https://civarchive.com/models/81458">Absolute Reality</a> (0.18)<a target="_blank" rel="ugc" href="https://civarchive.com/models/25694?modelVersionId=105035">epiCRealism V3</a> (0.2)<a target="_blank" rel="ugc" href="https://civarchive.com/models/98755?modelVersionId=105639">Humans</a> (0.15)Skin Enhancer (0.15)<a target="_blank" rel="ugc" href="https://civarchive.com/models/41809?modelVersionId=53221">Better Portrait Lighting</a> (0.2)Training Set 2 (0.55)<a target="_blank" rel="ugc" href="https://civarchive.com/models/1116?modelVersionId=124626">RPG 5</a> (0.38)<a target="_blank" rel="ugc" href="https://civarchive.com/models/113337?modelVersionId=122472">Divas</a> (0.15)And of course the NinjaFix made by @chillpixelThanks all those Creators for their hard work :)Of Course you can run "Juggernaut" on <a target="_blank" rel="ugc" href="https://tensor.art/u/597789882022103034">Tensor.Art</a>

Juggernaut

My First Baked VAE Version. I have tried several VAEs to see what would be the best fit for Juggernaut. Since Juggernaut's focus is photography, I ultimately decided on the <a rel="ugc" href="https://civitai.com/models/87271/tone-range-compressor-vae">Tone Range Compressor VAE</a>. The softer contrast is perfect for photography. The whole thing works semi well in the artistic part. If you're not satisfied, simply switch back to the original version 2.2 :)

Files with SHA256: 00cbc15e75304e9cf902d024735f3b55d1643b5b0e4219f5acd6387155abb7ac