A more flexible cum model. Supports many more cum tags and concepts than my previous model, and is trained at 768-based bins for better large, detailed images.Dial-a-cum capability anywhere from maximum realism on up past ridiculous. Can technically make images with no cum at all, but who would want to?This model isn't intended to be e.g. a good blowjob or titjob model. Instead, it's designed to play nice with other models and whatever big prompts, by just adding this model and a few select keywords.Also, I tried to make a very broad model with this one but there are plenty of focused cum models that do a more narrow concept better or more reliably.<h3 id="heading-53">Instructions</h3>Short answer: just run it at like 0.4-0.8 and add "cum" to the prompt somewhere.Long answer: Click the 🛈 info button at the lower right of any example image (or just click the image) to see details of how it was made. Most of my example images have the prompt etc. included, so flip through the examples and copy what you like. I've added a list of tags that specifically exist in the dataset, but you can also just add any cum-related language to your prompt and your generations should become spunkier. Using a list of cum tags is more robust than just one, and adding weight to the whole list is an effective way to scale the volume up or down. You can turn the tags up and the main lora weight down to get similar results without interfering as much with concepts in other loras or the base checkpoint.<h3 id="heading-4">Tags/Activation</h3>Training images were auto-tagged with Booru tags and a few concepts that the captioner didn't reliably pick up on were manually tagged as well. These tags are more likely to be understood by both the lora and the base model. Here's an alphabetical list of the cum-related tags that appear in at least one dataset image:<ul><li>after fellatio</li><li>after vaginal</li><li>bukkake</li><li>covered in cum</li><li>cum</li><li>cum in ass</li><li>cum in clothes</li><li>cum in mouth</li><li>cum in pussy</li><li>cum in shoes</li><li>cum on ass</li><li>cum on body</li><li>cum on boy</li><li>cum on breasts</li><li>cum on breasts</li><li>cum on clothes</li><li>cum on feet</li><li>cum on floor</li><li>cum on hair</li><li>cum on hair</li><li>cum on hand</li><li>cum on hands</li><li>cum on stomach</li><li>cum on tongue</li><li>cum on tongue</li><li>cum pool</li><li>cum string</li><li>cum swapping</li><li>cumdrip</li><li>ejaculation</li><li>excessive cum</li><li>facial</li><li>gokkun</li><li>licking cum</li><li>mouth full of cum</li><li>projectile cum</li><li>pussy juice</li><li>suggestive fluid</li></ul>

Cum II

Trained on about 550 pictures of cum here and there. Auto tagged with wd14 moat tagger via kohya, auto removed a list of undesired tags, added cum to the front, and manually added some specific tags like mouth full of cum.

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