This is the LoRA version of my <a target="_blank" rel="ugc" href="https://civarchive.com/models/81609/l666">L666 model</a>. You have the flexibility to create lingerie-clad girls with any model you choose (though it seems to work very well with F222.)I recommend starting with a strength of 1.0 and adjusting as needed depending on your model, prompt, etc.This model supports most Danbooru tags related to people, women, fashion, lingerie, etc.Recommended tags:<ul><li>Asian or European. If you specify Asian, you'll get Asian girls. If you specify European, you'll get white girls. If you don't specify either, you might get either or mixed-race girls. Although the model wasn't trained on other races, I've been able to prompt for them (i.e. black girls) but you may need to add "Asian" and/or "European" to the negative prompt for best results.</li><li>bra, panties, underwear, etc: that's the main thing this model is trained to produce.</li><li>good aesthetic, good quality, good blur, good noise, good contrast - Put any or all of these in your prompt if you want to the image to look better. Note: I've programmatically labeled images this way, <a target="_blank" rel="ugc" href="https://cafeai.notion.site/WD-1-5-Beta-Release-Notes-967d3a5ece054d07bb02cba02e8199b7">similar to how WD1.5 was trained</a>.</li><li>pntyad: Some of the images were trained on lingerie/panty ads which may result in higher quality images but with a greater possibility of watermarks, text, signatures, and other artifacts appearing. Highly recommended that you add the appropriate negative prompt.</li><li>(Negative Prompt): poor aesthetic, poor quality, poor blur, poor noise, poor contrast -Put any of these in your negative prompt if your images aren't looking as great.</li><li>(Negative Prompt): <a target="_blank" rel="ugc" href="https://huggingface.co/yesyeahvh/bad-hands-5/tree/main">bad-hands-5</a> - this textual inversion seems to work very well when you're not getting great hands.</li><li>(Negative Prompt): <a target="_blank" rel="ugc" href="https://huggingface.co/datasets/Nerfgun3/bad_prompt/tree/main">bad_prompt</a> - similarly, this textual inversion works great when you're not getting properly formed limbs.</li><li>(Negative Prompt): text, logo, signature, username, watermark - A lot of images in the training set contained logos and watermarks so you'll want these in the negative prompt.</li></ul>

Files with SHA256: 089eb9066198bb428bb473f3bb78707abff3d9972d9126b5d2c33c6767be7211