WAN 2.2

This one is pretty damn good if I do say so myself. Swapped out some of the other penis LoRAs for WAN 2.2 in my tests and this v2 blows them all away. Your results may vary, so look at the showcase prompts for help. This can create videos or images of male anatomy from a prompt, in realistic detail. It can also preserve the genitals if they are in your start frame for image to video workflows. Detailed anatomy prompting helps, see showcase for v1 and v2 for example prompts, or use local LLM Qwen VL or Grok for help with dick anatomy terms.

And it knows cum this time. No other LoRAs were used for showcase videos except for Lightx2v. For the cumshot, describe how much and exact details of where it goes. Beware saying 'massive cumshot' or you'll get a firehose like velocity and volume shooting out (see showcase).

You need both the high and low models in your workflows for video creation. The high noise model is in the Required Components panel. The high noise part gets the shape, and low noise gets the details. You can use the low noise with WAN 2.1 or its variants such as the amazing Bindweave. You can create images also with Magic WAN that are quite good (see showcase).

v2

Built on v1, adding 60 videos and the latest image dataset with the goal to fix the backwards or upside-down anatomy. It still can produce backwards glans, but before it would do it 90% of the time when viewing the underside of the penis, and now completely opposite, failing about 10% of my tests. Prompts can help if you get that. use 'detailed defined glans'. I guess it's hard to get rid of all the backwards dick heads in this world. Trained to a total of 15k steps, 20 hours of additional GPU time for version 2, stopping and adjusting along the way. Loads of work

v1

Trained on the same dataset as versions 1 of my Z-Image Turbo and LTX-2 LoRA, but for WAN 2.2 trained with the T2V model, which can be used to generate penises from your detailed prompt, or keep them in your scene if using i2v workflow. See showcase for prompts and workflows should be embedded in most mp4 files.