An attempt to make a lora focused on worshiping big cocks. It was trained on 69 clips (not on purpose, the 70th clip had a hard cut so it was cut from the dataset last minute). Never trained a motion Lora before. T2V is trained on Wan 2.2 T2V fp16 model I2V is trained on Wan 2.2 I2V fp16modelI started training the model as an I2V because those lora's always gave me better results even with T2V. Due to difficulties renting a GPU, I decided to try a different service to compare speed and price so I opted to train the T2V on the second service. I figured it it worked well enough I'd throw them up on Civitai.I believe the workflow used to generate the samples was created by a former user - playtime_ai It utilizes the MoE ksampler. I get best results using the following settings:Sampler - er_sde Scheduler - beta57 Shift - 8 Steps - 8 Lightning - <a target="_blank" rel="ugc" href="https://huggingface.co/lightx2v/Wan2.2-Distill-Loras/tree/main">i2v_lightx2v_4step_1022</a> Str - 1 on both high and low. (Yes, I use the i2v lightning lora for T2V generations. I don't know why, but it always gives more more dynamic and realistic results). Trained with the following trigger words: cock_worship cock_lick cock_slap blowjob deepthroat titfuck handjob Does somethings better than others. Slapping and titfuck it struggles with. Occasionally does some fun body horror. Follow up edit: I've added some clarity to the description and will attach a zip file to the T2V Low noise model for all the captions used for Lora training. They all follow the same structure - start with the trigger word(s) featured in the video trained followed by solely focusing on the movement during the video. All videos were 320x320, 81 frames, 16 FPS. Generate responsibly.

Worship It

I generated two quick examples. Don't usually use I2V workflows, so it's basically untested.

Files with SHA256: 7cc97557e308370ff1b8331d0ba052ebe82dfb216070e57af98984fc659c8198