<h1 id="gaping-anus-(-)*(-)">Gaping Anus ( )*( )</h1> IMPORTANT: This is NOT a SLIDER LoRA like all my other LoRAs. This is a normal LoRA trained on a dataset. There seem to be a trend lately that creators try to make the larges possible LoRA with over Rank200 and over 1GB large LoRAs, but i dont think that is nessesary, and i wanted to test if that is really needed. So i trained this 7mb Rank1 LoRA on a 25-image dataset. And i want to share the setting i used if anyone else want to make fun small LoRAs like this. LR: 0.00002 Steps: 10000 (batch 1), but half or less would probably do as well. Timestep Type: Linear Timestep Bias: Low Noise Loss Type: Wavelet Dataset: 25 images with captions. No faces. Res: 768x768 or similar Wavelet has given me some problems on other LoRAs i have made when the dataset had one bad image out of a dataset of 30 images. So be aware that wavelet is probably not the most forgiving and best setting to use. This was only intended as a testrun, since i dont train normal LoRAs at all. So the dataset could probably have a bit more variation on a V2, if i decide to make a new version. But i think it turned out pretty good for what it is.Only females in the dataset. But it should be possible to use with male/trans at lower str.I used a trigger word, g4pe, as well as natural language captions. But i dont think the triggerword does anything significant. You are better off just including gaping anus with natural language in the prompt.<h3 id="recommended-range:-1.0-to-1.8">Recommended range: 1.0 to 1.8</h3>(but it depends if used alone, with Bypass, or other LoRAs etc)Can be combined with all other LoRAs without any problem. And even though it can go way past 1.0, i dont recommend pushing past 1.5 on closeup, and not past 2.0 on wide shots.

Files with SHA256: ddc29e8ba0e7c9b51ce7fcfd23da35b56e53689bd1b3c8e141cc00dd616b3a89