Crayon ✏️ by Huggy

💡 Search "huggy" to find all my models on site.💡 Models are updated frequently, so be sure to check back and use the latest version.📒 Current issuesA crayon-style LoRA for SDXL Pony was trained using 168 images with Epochs 10, Num Repeats 10, UNet LR 0.0005, Text Encoder LR 0.00005, Network Dim 32, Alpha 16, and Noise Offset 0.1. Although the training preserved the character’s likeness, the generated images were excessively refined, causing the crayon texture to be smoothed out. Attempts to restore texture by lowering the CFG scale to 1.5 and adjusting the step value to 19 resulted in faded colors and deformations. An extra “SDXL Lighting 8 Step” LoRA improved overall quality, yet a more optimal training setup was needed.📒 Alternative training settings for next versionUNet Learning Rate: Reduce from 0.0005 to 0.0003–0.00025. Prevents excessive refinement and helps maintain rough textures.Noise Offset: Lower from 0.1 to 0.05–0.02.High noise offset can make textures too clean, so lowering it should keep the crayon strokes more visible.Min SNR Gamma: Set to ~3 to minimize over-smoothing. Civitai defaults to 5, lowering it to 3 reduces the model's tendency to over-polish details.Parameter Reduction: Lower Network Dim to 16–24 and Alpha to 8–16 for a smaller file size.📒 Important instructions for V1.1The key to generate images with rich crayon strokes is to set a low CFG value.If your scene is very simple (solo and close-up portrait), turn draft mode on, as in draft mode the CFG value is 1 and the step value is 8. However 8 is a very low step value for any image, you might see missing limb and deformed hand, plus use low CFG scale setting will make your work monochrome.Use SDXL lightning 8step lora, starting with CFG value 1.5 and step value 19.Depend on complexity of the scene, if you see object missing, increase the step value; if there are extra objects like fingers, lower the step value.Any quality related tags in both positive and negative prompt will neutralize crayon textures.🎉 This lora is part of my goal to create 100 lora.📒 MirroringI’ve noticed a few sites, like Modelslab and yodayo, using bots to mirror my models. SeaArt in particular shows big numbers for downloads and generations.I don’t mind if you mirror my models — sites like civitaiarchive have always done that.I do mind if you block users from downloading the models and force them onto a paid online service.I do mind if you claim copyright or give users ownership of the generations. These are open-source models, trained on open-source bases with limited-ownership data. No one — not even me — should claim copyright. Credit is all that’s needed.