<h3 id="heading-77">This is a set of wildcards that enable random variance for the weights of LoRAs and Textual Inversion embeddings.</h3>Use for LoRAs may look like &lt;lora:my-lora:__proc/[modifier]__&gt; where [modifier] can include the following:<ul><li>full: For when you want a lot of variance for common models. The range is 0.10-0.95 with an average of 0.60.</li><li>high: High range values typical for most character/clothing/subject models. R:0.55-0.95, A:0.75</li><li>mid or med: Mid range values. R:0.3-0.7, A:0.50</li><li>low: Low range values for accents and themes. R:0.10-0.45, A:0.27</li></ul>For a TI embedding, an example may look like (my-textual-inversion:__proc/[modifier]__) where [modifier] might be:<ul><li>buff: Enhances an embedding. R1.05-1.3, A:1.17</li><li>dep: Depresses an embedding. R:0.80-0.95, A:0.88</li></ul>There's also a series of values for weights that have a +/- 0.15 variance for finer precision. These can be accessed with the wildcard: __proc/p[value]__ where [value] can be a quarter {25, 50, 75} or a quintile {20, 40, 60, 80}. These precision weights are more flexible in their formatting because they do not include a digit before the decimal point, so you can adjust their magnitude by adding this. For example having 1__proc/p25__ in your prompt would return values ranging from 1.1 to 1.4. To make weights negative, add a minus sign in front of the wildcard.Precision values that are a multiple of 100 are not as flexible because they must have a digit before the decimal point. __proc/p000__ can also return negative values, so adding a minus sign would create a double negative.<h3 id="heading-78">LoRA Block Weights:</h3>You can also use wildcards to randomly assign lora block weights. The syntax is a little different depending on whether you're applying it to a SD LoRA, XL LoRA or LyCORIS.SD: &lt;lora:[my-sd-lora]:1,1:__proc/lbw/[modifier]__&gt;XL: &lt;lora:[my-xl-lora]:1,1:__proc/lbwXL/[modifier]__&gt;Lycoris: &lt;lora:[my-lycoris]:1:1:__proc/lbwLyc/[modifier]__&gt;The following modifiers apply to all three forms. Only UNet blocks are affected, the BASE block is always set to 1 using these methods.<ul><li>rand: Sets each individual block to 1 or 0.</li><li>randIN: Same as rand except it applies only to IN blocks.</li><li>randOUT: Same as rand except it applies only to OUT blocks.</li><li>midd: Sets the MID and a random number of adjacent IN and OUT blocks to 1.</li><li>wrap: Inverse of midd, sets MID and a random number of adjacent blocks to 0.</li></ul><h3 id="heading-79">Other:</h3>Finally, you can generate some whole numbers with the following dice. This could be useful in some edge cases with a little formatting.<ul><li>__proc/d10__ will return digits from 0 to 9.</li><li>__proc/d100__ will return numbers from 00 to 99.</li></ul>Cover art generated using SirDigsbey's model of <a target="_blank" rel="ugc" href="https://civarchive.com/models/345736/mary-wiseman-tilly-from-star-trek-discovery">Mary Wiseman</a>.

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