Wan doesn't seem to understand the concept of licking or sucking fingers, so I decided to remedy that!Wan 2.2 version: trained locally on my RTX5090 with Musubi Tuner on 20 videos of various porn stars. 384x384x60 frames. Different training set to Wan 2.1 that has less exaggerated mouth movements which are more natural. Hi: 40 epochs 800 steps (2h45m), Lo: 65 epochs 1300 steps (5h30m)Wan 2.1 versions (T2V/I2V): trained locally on my RTX5090 with Musubi Tuner on 34 videos of various porn stars. 256x256 resolution, 3400 steps, 100 epochs. 5 hours total training time.My Wan motion LoRA full training process <a target="_blank" rel="ugc" href="https://youtu.be/HyICHBL26KU">is covered here in my new tutorial.</a><a target="_blank" rel="ugc" href="https://civarchive.com/articles/27580">I have also written a series of articles here on Civitai on the subject of Video Motion Training.</a>Please consider supporting me on <a target="_blank" rel="ugc" href="https://riotmodels.com/generation3dx">RiotModels</a> to help me in continuing to make new LoRAs. Your reward is exclusive content of the Seven Sisters in the most naughty of animations.Keyword shouldn't be necessary but it's "fingers_in_mouth" for Wan 2.2Prompt is simple. Use any combination of<ul><li>licking fingers</li><li>fingers in mouth</li><li>sucking fingers</li><li>she licks her fingers</li></ul>For one person licking the other person's fingers, the starting image really needs the other's fingers close to the mouth otherwise the person tends to suck their own fingers.See sample videos for full prompts.Versions:<ul><li>Wan 2.2 i2v v1.0 - good natural motion with guaranteed prompt adherence</li><li>Wan 2.1 480 i2v v1.0 - very nice, detailed licking and sucking action with lips, fingers and tongue</li><li>Wan 2.1 14B t2v v1.0 - good motion but IMO not as good as i2v. May require more training.</li></ul>

Wan Finger Licking and Sucking

Wan Video 14B t2v version.Uses the same training set of videos as i2v 480 v1.0.I had to increase the LR to 1e-04 for this model as 3e-05 was too low and it hardly went anywhere over the 3400 steps and 100 epochs.Personally I don't think the inference is as good on this model as i2v, so it may require even further training. But as I never use t2v then I'll look to the community for further guidance.

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