Duchesse Style Z-Imagev2 - I don't normally release updates so quickly but I liked this version and wanted to post images with it. I tried changing some of the training settings and doubling the number of training images and it seems to work pretty well. I get fewer extra limbs and a stronger style with this one.I trained this on Z-Image base but all the sample images are done with Z-Image TurboDuchesse Style FluxI don't know if anyone but me wanted this but I had the dataset and a lot of blue buzz so here it is!Duchesse Style v1.5 Winning auctions is expensive and I’m buzz poor, so to keep some of the Duchesse checkpoint's style available for on-site generation I’ve made this LoRA.This version of the LoRA is more faithful to the Duchesse checkpoint's aesthetic, while also being more versatile across a wide range of checkpoints.The samples include images from seven different checkpoints so you can see how Duchesse Style v1.5 interacts with each style and what kinds of results you can expect. Duchesse Style v1A LoRA I made to capture the look and feel of my Duchesse checkpoint—a blend of painterly elegance and soft character rendering. The style was originally inspired by DucHaiten-Pony v6, and this LoRA captures many of its distinctive visual traits for Illustrious checkpoints. I tested it with a few different checkpoints—PerfectDeliberate was my personal favorite, mostly because that combo came closest to the aesthetic of the Duchesse checkpoint. I usually kept the weight between 0.8 and 1.0, and that gave me great results. I've also included examples from iLustMix, Illustrij, One obsession. I'll be trying it out with other checkpoints as well and I'll post the images here.Feel free to try it out with those or any other Illustrious based checkpoints—I’d love to see what you come up with! Link to the Duchesse checkpoint: <a target="_blank" rel="ugc" href="https://civarchive.com/models/1798332/duchesse">https://civarchive.com/models/1798332/duchesse</a>

Duchesse Style

DuchesseStyle_Zimage.safetensors

Files with SHA256: 29a1904aeeb8dcf5a9e2df245589c8ce41b821d5b703ce8708845967f901ff1d