description: <p>Another SDXL LoRA for more explicit content, this time it is for dildos and sex toys. This was a difficult concept for SD 1.5 to master, so we will see how XL can handle it.</p><p></p><ul><li><p>v0.3:</p><ul><li><p>Better support for anime and cartoon/render/pixar styles.</p></li><li><p>More variety of lingerie and clothing, not always with breasts out.</p></li><li><p>Works at 0.8-1.0 strength, not as overtrained.</p></li></ul></li><li><p>v0.2:</p><ul><li><p>Epoch 93 and 99 are both pretty good, using 0.7 - 0.8 strength.</p></li></ul></li><li><p>v0.1:</p><ul><li><p>In general, I think epoch 74 has the best results, using about 0.75 strength.</p></li></ul></li></ul><p></p><h2 id="heading-452">Learned Keywords:</h2><ul><li><p>primary:</p><ul><li><p><code>dildo</code> for v0.3</p></li><li><p><code>sexl_dildo</code> for v0.1 and v0.2</p></li></ul></li><li><p>others:</p><ul><li><p>dildo: 1410</p></li><li><p>1girl: 1254</p></li><li><p>pussy: 1114</p></li><li><p>solo: 1099</p></li><li><p>realistic: 1015</p></li><li><p>sex toy: 864</p></li><li><p>object insertion: 837</p></li><li><p>nude: 674</p></li><li><p>ass: 634</p></li><li><p>breasts: 610</p></li><li><p>masturbation: 603</p></li><li><p>anus: 569</p></li><li><p>female masturbation: 563</p></li><li><p>nipples: 549</p></li><li><p>spread legs: 534</p></li><li><p>long hair: 524</p></li><li><p>pubic hair: 510</p></li><li><p>vaginal: 505</p></li><li><p>vaginal object insertion: 488</p></li><li><p>female pubic hair: 424</p></li><li><p>lips: 360</p></li><li><p>lying: 354</p></li><li><p>brown hair: 349</p></li><li><p>anal: 338</p></li><li><p>blonde hair: 317</p></li><li><p>black hair: 317</p></li><li><p>anal object insertion: 314</p></li></ul></li></ul><p></p><p>Complete list of tag frequencies: <a target="_blank" rel="ugc" href="https://gist.github.com/onnx-nsfw/4bd77d82a0354853bec14bc667b1ddd1">https://gist.github.com/onnx-nsfw/4bd77d82a0354853bec14bc667b1ddd1</a></p><p></p><h3 id="heading-453">Example Captions:</h3><ul><li><p>dildo, solo, ass, pantyhose, nude, pussy, indoors, from behind, vaginal, fingernails, uncensored, anus, sex toy, anal, close-up, masturbation, female masturbation, object insertion, realistic, dildo, ass focus, anal object insertion, vaginal object insertion, lower body, gaping, large insertion, dildo riding</p></li><li><p>dildo, solo, ass, pantyhose, pussy, from behind, vaginal, uncensored, anus, sex toy, anal, close-up, masturbation, female masturbation, object insertion, realistic, dildo, ass focus, anal object insertion, vaginal object insertion, lower body, gaping, large insertion, dildo riding</p></li><li><p>dildo, solo, ass, nude, pussy, from behind, vaginal, fingernails, uncensored, anus, sex toy, anal, close-up, masturbation, female masturbation, object insertion, realistic, dildo, ass focus, anal object insertion, vaginal object insertion, dildo riding</p></li><li><p>dildo, solo, thighhighs, underwear, panties, ass, from behind, bra, black panties, back, underwear only, lingerie, black bra, close-up, garter belt, head out of frame, ass focus</p></li><li><p>dildo, solo, thighhighs, underwear, panties, ass, from behind, fishnets, sex toy, anal, garter belt, object insertion, dildo, ass focus, fishnet pantyhose, anal object insertion, fishnet thighhighs</p></li></ul><p></p><h2 id="heading-451">Training Method:</h2><p>Testing this method: <a target="_blank" rel="ugc" href="https://civitai.com/articles/1771">https://civitai.com/articles/1771</a>. Versions 0.1 and 0.2 used the 100 epoch method with 2e-05 learning rate.</p><ul><li><p>v0.3:</p><ul><li><p>1458 source images (&gt; 768 in shortest dimension)</p></li><li><p>1588 random crops (1024x1024)</p></li><li><p>1410 remaining after curation</p><ul><li><p>up to 12 crops per source</p></li><li><p>downscaled shortest dimension to 1024</p></li><li><p>deduplicated with resnet 18, cosine similarity, 0.925 threshold</p></li><li><p>deleted partial and out of frame</p></li><li><p>no watermarks</p></li></ul></li><li><p>automated captions with WD 1.4, threshold 0.45</p><ul><li><p>incorrect tags removed</p></li></ul></li><li><p>2 repeats</p></li><li><p>8 batch size</p></li><li><p>100 epochs</p></li><li><p>32 dim/32 alpha</p></li><li><p>AdamW8bit with constant</p></li><li><p>2e-05 learning rate for both text encoder and UNet</p></li><li><p>shuffle captions</p></li><li><p>caption dropout rate 0.05</p></li><li><p>stop text encoder training after 30% (still not sure if this feature is implemented)</p></li></ul></li><li><p>v0.2:</p><ul><li><p>344 source images</p></li><li><p>287 after deduplication and resize</p></li><li><p>1087 random crops</p></li><li><p>806 remaining after curation</p><ul><li><p>same method as v0.1</p></li></ul></li><li><p>automation captions with WD 1.4, threshold 0.6</p><ul><li><p>lightly curated, incorrect tags removed</p></li></ul></li><li><p>3 repeats</p></li><li><p>8 batch size</p></li><li><p>100 epochs</p></li><li><p>32 dim/32 alpha</p></li><li><p>AdamW8bit with constant</p></li><li><p>2e-05 learning rate for both text encoder and UNet</p></li><li><p>shuffle captions</p></li></ul></li><li><p>v0.1:</p><ul><li><p>about 500 source images (&gt; 1024x1024)</p></li><li><p>about 1000 random crops (1024x1024)</p></li><li><p>440 remaining after curation</p><ul><li><p>deduplicated with resnet 18, cosine similarity, 0.9 threshold</p></li><li><p>deleted partial and out of frame</p></li><li><p>no watermarks</p></li></ul></li><li><p>1 repeats</p></li><li><p>8 batch size</p></li><li><p>100 epochs (models around 45-50 and 70-75 were best)</p></li><li><p>32 dim/32 alpha</p></li><li><p>AdamW8bit with constant</p></li><li><p>2e-05 learning rate for both text encoder and UNet</p></li></ul></li></ul><p></p><p>I am happy to share the data set but do not have a good place for hosting those.</p><p></p><ul><li><p>v0.3:</p><ul><li><p>Includes more lingerie and clothing</p></li></ul></li><li><p>v0.2:</p><ul><li><p>Next time I need to indicate the color of the dildo in the caption and include more of the image poses.</p></li></ul></li><li><p>v0.1:</p><ul><li><p>Next time I think I will try removing the <code>sexl_dildo</code> keyword and specializing the existing dildo token.</p></li></ul></li></ul><p></p><h3 id="heading-454">Training Parameters:</h3><pre><code>{
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