<h1 id="z-image-realistic-cane-spanking-welts">[z-image] Realistic Cane Spanking Welts</h1><h2 id="introduction">📖 Introduction</h2>This LoRA is specifically designed for the z-image model. It aims to accurately replicate the physiological textures of 3D, parallel, and swollen welts on the skin resulting from cane-based disciplinary actions.<hr /><h2 id="training-specifications">⚙️ Training Specifications</h2><ul><li>Dataset: 55 high-quality real-texture images.</li><li>Steps: 16,500 Steps.</li><li>Base Model: <code>z-image-turbo-bf16</code>.</li></ul><hr /><h2 id="weight-and-usage-guide">💡 Weight &amp; Usage Guide</h2>To achieve the best results, please strictly follow these weight recommendations:<ul><li>Optimal Range: <code>0.2 - 0.5</code></li><li>Warning Range: <code>0.5 - 0.8</code><ul><li>Feature Shift: When the weight exceeds 0.5, the model will exhibit significant feature leakage. The character's facial features will irreversibly shift toward Western looks (even strong Asian-themed prompts may not be able to counteract this).</li><li>Structural Risks: When the weight approaches 0.8, the probability of structural artifacts (especially in hands and feet) increases significantly.</li></ul></li></ul><hr /><h2 id="prompting-strategy-core-focus!">✍️ Prompting Strategy — CORE FOCUS!</h2>This model is highly dependent on Natural Language Descriptions. If you only use vague terms like <code>cane marks</code> or <code>red welts</code>, the LoRA's effect will not be fully activated, and the textures may appear flat and uninspiring.【Correct Usage】：You must act like a "sculptor," providing detailed descriptions of the style, shape, and distribution of the marks.Tip: It is strongly recommended to refer to the prompts provided in my Example Images.<hr /><h2 id="author's-note">💬 Author's Note</h2>Since texture-based LoRAs perform differently across various lighting conditions and scenarios, I would greatly appreciate it if you could share your generated images and provide feedback!

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