description: <p><a target="_blank" rel="ugc" href="https://linktr.ee/Brandyontherocks">Who is Brandy?</a></p><p>Brandy loves cats.</p><p>Showcase images are at a weight of .9. It's pretty forgiving though.</p><h1 id="heading-315">Training info</h1><p><span style="color:rgb(193, 194, 197)">There are 58 core images and 164 supporting images. Core images were used 5 times each epoch, and supporting images used once per epoch.</span></p><p><span style="color:rgb(193, 194, 197)">Captioning done with wd14.</span></p><p><span style="color:rgb(193, 194, 197)">I've included both the Kohya configuration json and all of the images used to generate this lora as zip that accompanies this model. </span></p><p><span style="color:rgb(193, 194, 197)">It is my hope that if you are making your own loras, you can use it see what I chose to select as core images vs supporting images and improve your own work.</span></p>
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modelVersions.description: <p>Brandy was the first model that I started using supporting images with.  I wanted to revisit her and apply some changes to my protocol.</p><p>I went from a training batch size of 1 to 2.  This should kind of mix the two images so they learn together.  It lowers the total number of steps as well.</p><p>I also changed the captions.  I'd used straight wd14 before, but this time I trimmed out all of the things that define her core features (aside from the hair, which I've left malleable).</p><p>I pushed this training to its limits, which is why it's 2.1.  I only did 14 epochs comprised of 3178 steps, and wanted to continue training.  I performed another 6 epochs for an additional 1386 steps to come to the epoch I selected for this version.</p><p>I used the same images for both versions.  Instead of a 2 and 5 split, I went for 1 and 5.</p><p>There are 164 supporting images and 58 core images.  So about 300 core iterations, and half that in supporting iterations.</p>
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name: Brandy Gordon
tags: instagram celebrity