Please check out my <a target="_blank" rel="ugc" href="https://ko-fi.com/part_loras">Ko-Fi</a> page if you are interested in supporting me.LoRA commissions open! -&gt; <a target="_blank" rel="ugc" href="https://www.fiverr.com/partai/develop-your-custom-lora-or-loha-model-for-stable-diffusion">Fiverr</a><h3>This is a LoHa LoRA! You need the <a target="_blank" rel="ugc" href="https://github.com/KohakuBlueleaf/a1111-sd-webui-locon">extension</a>! Why? They do a lot better with multi-concepts. Trigger words for V1.20:</h3>&lt;lora:CuplessCrotchless120:0.8&gt;(bra, cupless bra, crotchless panties)Specifying: "pussy", "nipples", "panties", "bra" helps it with generating the actual keywords for the LoRA. If you get full panties, specify pussy for example. If you get just a "shelf bra" then specifying "bra" helps it draw the upper part... Don't want both at the same time? Go with just "panties" or just "bra" without "nipples" or "pussy".You can try "micro bra", "pearl thong", "nursing bra" and "string panties", "string bra". I tagged for those in the dataset BUT HAD NO LUCK with generating them (they COULD work, but not guaranteed)! Maybe for a next update.<h3>Follow the steps in the Model Version notes to reproduce my images.</h3>Sample images generated with Hassaku.All negative embeds should be easy to find. and Prompts should be included in the sample images! Click the little icon in the bottom right to see it.It learned pretty well how to do covered nipples! Probably capable of using it for any type of shirt if you just want nipples texture. Could use same tags in negatives to control how it generates.It was trained on 185 512x512 images scraped from the internet and 20 epochs using animefull_final_pruned.Danbooru tags generated by Waifu Diffusion 1.4 Tagger and fine tuned for specific details like nipples texture, see-through, and impossible shirt or form fitting.

Cupless | Crotchless - LoHa

Generate using a weight of 0.6-1 like this: &lt;lora:CuplessCrotchlessv120:0.8&gt;.I've used 0.8 in all samples. Haven't really tested other numbers. How I archived my generations:<ol><li>txt2img: DPM++ SDE Karras with 20 steps, 512x512(can go up to 768 for wide or tall), Restore faces on (using CodeFormer weight 1.0 in Settings), Hires-fix on, to 1024x1024 (double original size) with your preferred upscaler and Denoise 0.4, CFG 7. Then send to img2img!</li><li>img2img: DPM++ SED Karras with 20 steps, Restore faces on (CodeFormer weight 1), rescale to 1536x1536, CFG 7, Denoise between 0.3-0.7 (based on how much you want to improve the image), SAME PROMPT! Send to extras when happy with img2img/inpaint results.</li><li>extras: Scale to x3 (final will be 4608x4608, I suggest going lower, I did x3 just for the samples here) Upscaler 1 - FatalAnime 4x, Upscaler 2 - SwinIR 4x with 0.10 visibility, GFPGAN 0.10 visibility, CodeFormer 0.10 visibility.</li></ol>If anyone is curious about my version names: v{version}.{trainingEpochs}

Files with SHA256: 0b812413e3e60d15930c57de25f9ad757a6da1aefdaa531310b09ae40c89ffb9