<h3 id="elaborate">Elaborate</h3>Elaborate is a bidirectional concept LoRA for controlling the degree of elaboration applied to a generated subject. It moves between simplified, restrained forms at negative weights and increasingly elaborate, articulated, embellished forms at positive weights.Rather than applying one specific decorative style, Elaborate interprets elaboration according to the subject. On clothing, increasing the weight can introduce more complex construction, paneling, embroidery, beadwork, jewelry, and ornamental detailing. On architecture, it can increase structural articulation, trim, window and roof complexity, columns, and other architectural features. On decorated objects such as cakes, it can progress from simple surfaces and piping toward relief work, scrollwork, filigree, decorative elements, and additional ornament.The LoRA therefore behaves less like a generic “detail enhancer” and more like a semantic elaboration control: the model determines what additional elaboration makes sense for the object being generated.Weight range: approximately <code>-3/-4 → +4/+5</code>, with <code>0</code> representing the base checkpoint. Negative weights progressively simplify or reduce elaboration. The current version remains usable into roughly the <code>-3</code> to <code>-4</code> region without the severe subject-collapse behavior seen in earlier iterations. Positive weights continue adding meaningful elaboration through approximately <code>+4</code> to <code>+5</code>, although stronger values increasingly risk concept leakage.One particularly useful characteristic is that Elaborate tends to target the principal subject rather than indiscriminately increasing detail everywhere. This makes it substantially different from global sharpness, texture, or image-complexity controls. However, localization is not absolute. At high positive weights, elaboration can escape the intended subject: for example, while elaborating a cake, a previously plain wall may begin acquiring ornamental forms. This behavior can occur in both txt2img and img2img and becomes more likely as the LoRA weight increases.For practical use, moderate weights should provide the best balance between subject-directed elaboration and preservation of surrounding scene structure; the extremes are also useful as a probe of the learned conceptual direction.Negative pole: simplified, restrained, reduced, minimally articulated Positive pole: elaborate, articulated, embellished, ornate, increasingly complex Primary intent: control how much design effort/complexity the model invests in the subject Secondary effects at high weights: environmental ornamentation, increased scene complexity, concept leakage Not intended as: a sharpness/detail-restoration LoRA, fixed ornamental style, or simple texture enhancer

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