I can guide you with the best practices, tips, and tricks to achieve your goal in your Stable Diffusion training. Take a look at my Patreon, subscriptions for just $5. Exclusive content. <a target="_blank" rel="ugc" href="https://www.patreon.com/sdisn">Patreon</a>. :)<h3 id="about:-qm4rsavqd">About:</h3>This is my first LoRA here at CivitAI. Its purpose is to <s>(try to)</s> replicate the anal missionary position in a POV angle. Be careful, as it sometimes generates body horror and disembodied penises.It was trained in 768x768, using captions and with 160 high-resolution images. I plan to try to improve it in possible new versions.The demo images of the model aren't edited, but they are cherry-picked and generated using hires-fix (0.40 denoising).<h3 id="suggested-settings-for-inference:-kr5o68376">Suggested Settings for Inference:</h3>Model: <a target="_blank" rel="ugc" href="https://civarchive.com/models/10961?modelVersionId=300972">lazymixRealAmateur_v40</a> (but works with almost any)Positive: beautiful nude woman, natural skin, busty, huge breasts, brown hair, bob cut, anal, lying on back, short hair, man, eye contact, penis, pussy, angry expression, pov &lt;lora:MissyFold_sd15:1:0.6&gt;Negative: <a target="_blank" rel="ugc" href="https://civarchive.com/models/116230/bad-hands-5">bad-hands-5</a> <a target="_blank" rel="ugc" href="https://civarchive.com/models/11772?modelVersionId=25820">verybadimagenegative_v1.3</a>, polydactylSampler: DPM++ 2M KarrasSteps: 28CFG: 5~6Resolution: 512x768Note¹: As you can see, the LoRA tag has two weights: &lt;lora:MissyFold_sd15_by_IsnAI:1:0.6). This is a feature of the A1111 (which many people aren't aware of), but you can set separate weights for the UNet and the Text Encoder. The TE is always a pain in the ass to get the training right, so it's usually better to reduce its weight in the inferences rather than having it undertrained.Note²: You can get more image variations if you also tweak the resolution a bit. In my tests, the best photos were in portrait format. In landscape format, they don't turn out very well because it shows too much of the feet, and in the dataset, there are hardly any examples of feet, so the model didn't learn very well in that aspect.<h3 id="triggers:-iuvjgpuqv">Triggers:</h3>Main: woman, anal, lying on back, man, penis, pussyTags Used on Training: hands, fingers, teeth, open mouth, half-closed eyes, testicles, indoors, pubic hair, outdoors, eye contact, pov, legs up, feet, smile, arms up, closed eyes, panties aside, tongue, fishnets, fingering, from top, shirt, arm up, deep penetration, thighhighs, oiled, tattoo, penis grab, looking down, spread pussy, glasses, sex toy, leg up, tongue out, clenched teeth, licking, pants, petite, gloves, cap, lips

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