description: <p>LoRA trained on JoseBonn's artstyle for ponydiff: <a target="_blank" rel="ugc" href="https://civitai.com/models/257749">https://civitai.com/models/257749</a></p><p>Artist: <a target="_blank" rel="ugc" href="https://x.com/jose_bonn?s=20">https://x.com/jose_bonn</a> | <a target="_blank" rel="ugc" href="http://patreon.com/JoseBonn">patreon.com/JoseBonn</a></p><p></p><p>Because of my lack of experience and time, the version number may be based on changes that have made certain aspects worse. As such a previous version may perform better than a later version.</p><p>I'm still learning the ins and outs of the model and LoRA training in general, please leave reproducible feedback or tips so that I may improve over time.</p><p>Check the "About this version" section for any quirks or pitfalls I'm aware of, this is trained with a small dataset and so it is expected to have more bias</p><p></p><h3 id="heading-2001"><span style="color:rgb(134, 142, 150)">Some Q's:</span></h3><ol><li><p>What's your workflow?</p><ul><li><p>Sampler from images is done with Restarts with segments of [3,2,0.06,0.30], which are values from the paper on Restarts</p></li><li><p>Initial resolution is typically 768 x 1152 or vice-versa and upscaled by x(5/3), I try to keep the pixel count around 1024 x 1024 for initial gens and adjust the upscale ratio as needed</p></li><li><p>Upscaler is usually 4x_fatal_Anime_500000_G or 4x_NMKD-Siax_200k</p></li><li><p>Second sample pass is the same as the first (params are on civit's meta interface) but at ~.35 denoise</p></li><li><p>A facedetailer is used</p></li><li><p>I use ComfyUI, sorry</p></li></ul></li><li><p>What strength should I be using?</p><ul><li><p>1</p></li></ul></li></ol>
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name: JoseBonn - PonyDiffusionXLV6
tags: style artstyle artist lora josebonn