Attempting to use a more diverse dataset with this one, so the results are a little less "one trick pony" like my Missionary LoRA. Unfortunately you get the occasional contortionist show, but it's not very frequent.

As always, I've included the ComfyUI metadata in my example videos, so Save them and drag / drop into ComfyUI for the workflow.

For training, I followed dtwr434's very helpful Training Data guides for training WAN loras with diffusion-pipe, in fact I don't think I changed any settings at all for this one.

For captioning, I just drop in one of the first frames of the video into Joy Caption 2 to get a baseline. From there, I add specific things that you'd only see watching full video, like speed, movements, jiggles, shakes, etc.

Please share your generations! Your prompts and settings have helped me learn what makes a better and more capable LoRA.