<h3 id="recommended-conditions-o0q7nrwi5">Recommended Conditions</h3>Trigger:b1tingchest (optional, no space between words)Strength:1.0Support Tags:2girls, biting chest, kissing chest, sucking chest, licking chest, head on chest, face on chest, head on another's chestTry this out first with "biting chest". "Head on chest", "head on another's chest (booru)" and "face on chest (e621)" further direct one's face toward the other's chest and improve the hit rate by virtue of some flexibility. A few models do not work at all with either of "biting" and "kissing" while prefer "sucking" to describe the same situation. However, "sucking" often calls breast sucking for others.<h3 id="description-122jqujaj">Description</h3>This LoRA assists in generating a situation where one woman bites another woman's chest. It basically targets the upper part of a chest.It was trained all with YURI (= lesbian) images because of my preference. However, it could work with straight couples when the LoRA strength is properly reduced.About Support TagsThe situation is registered as both "kissing chest" and "biting chest" in booru, but only a few images are nested under them and would not be learned in most models. The effectiveness of these tags are all up to model flexibility.About trigger"b1tingchest" was used for training. This LoRA works even without trigger tag, but it might increase the hit rate. The trigger itself would do nothing without support prompts.Sample imagesThe sample images are generated with different models and very simple prompting such as:<pre><code>2girls, b1tingchest, biting chest, casual dress</code></pre>All the images are created with Euler a + Karras on ComfyUI.<h3 id="-l876aqu2g"></h3><h3 id="tips-deplcpxhf">Tips</h3>In general, tweaking prompt strengths is very important when two casts are on image because prompts can affect both of them. About this LoRA, the bitten person sometimes does action such as clenching teeth. The following ideas might reduce this problem: 1) weakening the prompts, 2) adding expression prompts and 3) not using LCM LoRA (occasionally).

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