<p>The purpose of this LoRA is to provide a better french kissing generation then the base model. The base model does kissing and some degree of french kissing but its not good. We want a little bit more tongue and not kiss peck!</p><h3 id="features"><span style="color:rgb(250, 176, 5)">Features</span></h3><ul><li><p>Longer french kissing sessions</p></li><li><p>Optional 'tongue play' prompt</p></li><li><p>Compatible with both I2V &amp; T2V Wan2.2 Models. Primarily geared towards I2V.</p></li><li><p>Trained on close-up and full body.</p></li></ul><h3 id="tips"><span style="color:rgb(230, 73, 128)">Tips</span></h3><ul><li><p>Low Noise - try between 0.5 to 1 strength (I2V). Lower strength if you are experiencing face changes. Closer to 1 for (T2V).</p></li><li><p>This model technically works without the Low Noise model (I2V) because the base model is trained on kissing to some degree.</p></li><li><p>May need to bring the faces closer otherwise could do some air french kissing. "the man leans towards the woman" type of thing.</p></li><li><p>Try prompting like this for longer french kissing scenes:</p></li></ul><pre><code>(AT 0-1s) the woman leans towards the woman and begins french kissing her</code></pre><pre><code>(AT 2-4s) the woman continues to french kiss the woman.</code></pre><ul><li><p>Slow Motion Issues? <a target="_blank" rel="ugc" href="https://www.reddit.com/r/StableDiffusion/comments/1mr0sep/how_to_fix_slow_motion_in_wan_22/">https://www.reddit.com/r/StableDiffusion/comments/1mr0sep/how_to_fix_slow_motion_in_wan_22/</a></p></li></ul><h3 id="prompts"><span style="color:rgb(76, 110, 245)">Prompts</span></h3><pre><code>the woman french kisses the man</code></pre><pre><code>the woman are tongue playing as they french kiss each other</code></pre><h3 id="other"><span style="color:rgb(64, 192, 87)">Other</span></h3><p>Trained on Wan2.2 T2V base model. 59 high quality images and 33 videos that were handpicked and farmed raised to perfection using musubi-tuner. This LoRA works with both I2V and T2V.</p><p><span style="color:rgb(230, 73, 128)"><strong>Shoutout</strong></span> to all the LoRA creators out there doing the insanely tedious work of tagging, editing and running training sessions</p>

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