This LORA produces a variety of inflatable toys, largely in the style of Imaginary Creature Factory products. It trained on three hundred photos, which I hand-labeled; style is therefore usually photographic but at lower weights the underlying model's original style can show up.
Prominent tags: ICFInflatable, inflatable Eastern dragon, inflatable gryphon, inflatable sea dragon, inflatable Western dragon, glossy vinyl, matte vinyl, etc. Has some knowledge of "partially deflated [limb]", "deflated", "flat", various colors of vinyl, various body parts, various poses, etc. Also has opinions about what various rooms and furnishings look like because I wanted to train them in so I could negatively tag them. Aware of vague "medium shot", "wide shot", "close up", "close shot", "front view", "front angle", "side angle", "side view", "back view", "from behind", etc.
Less-trained tags: a variety of names of specific toys, fox, ghost dragon, bat dragon, husky, maned wolf, convention, stacked toys, kissing, snuggling, tailbutt, paw focus, toe beans, inflatable talons, plastic talons (useful for inflatable gryphons), PuffyPaws inflatable, IWInflatable
Tags you may want to negate: IKEA, cluttered shelves, clutter, electric fan, etc. or put them in positively if that's the vibe you want. cluttered spaces are common in these photos (including the ones in my living room lul) and the model can overproduce that.
It's my first LoRA, I may try to improve the tags and add more content and balance it a bit, the usual. I wrote my own software to tag it, I have this entire taxonomy of tags now so I can just type "inflatable eastern dragon" and get all the inflatable eastern dragon parts you'd expect and just cancel out the ones that you can't see in the picture (and then they're marked so auto-deduce won't put them back in), I should finish up Just One More Feature and put it on github or something
Description
This version has much better tagging for "solo", "multiple inflatables", "feral", "anthro", "stacked toys", and a number of other major tagging improvements. It should require fewer redundant tags to get ideas across to it (I improved my software to prune redundant tags at export time). Its training data includes a few images not in the previous version, but this is mostly a tagging improvement.
It's not very accurate at responding to names of inflatables alone, largely because they were never presented in isolation. I'm planning improvements to my tagging software to produce a duplicate copy of every image with "implied tags" all stripped out so the model is forced to learn character names at the top level.
I've added some suggested tags to "Trigger Words", but many, many related concepts have been trained into this LoRA, experiment and find out.