Adds muscle to the female protagonist of your video. The model works well with both Wan 2.1 and Wan 2.2. This LoRA can be treated like a slider with a strength range from 0.25 up to 2.0 and beyond, although there are consequences for high values that I'll describe below.

Important: This model is 100% fictitious and is not based on images of any real person. The data set for the model was generated from still image checkpoints and has evolved from there using only AI rendering. No images (neither actual nor AI-generated) of any real person were ever involved in the making of this model.

The key phrase is "muscular woman" as in "a muscular woman is walking in the park".

• 0.25 - 0.5.0 is an athletic woman who exercises regularly and looks a little muscular

• 0.75 - 1.50 is an obviously muscular woman who works out and lifts weights regularly

• above 1.5 is a bodybuilder level of muscular, but with some oversaturation and limited motion because of the over-strong LoRA

For enhanced results without the penalty of saturation and less motion, you can use prompt hints. Wan 2.2 is especially good at respecting prompt descriptions for this LoRA. A simple change is to say "an extremely muscular woman", but you can go into more specific detail if you want. Beware of using the word "bodybuilder" with Wan, however, as that will likely influence the poses and motions that you get. Wan seems to know about bodybuilder competitions and posing, and those influences will appear in your video if you use that word in your prompt.

This model will also increase breast size to some degree, depending on your prompt and the character in your clip. Sorry not sorry.

One last prompting hint. With Wan 2.2 and its split model pipeline, you have the freedom to use different values for high and low noise, giving you different results. Changes in the high noise pipeline will affect the overall motion in the video as well as the overall shape of the people and objects in the scene. You should avoid very high LoRA values in the high noise pipe since that will hurt your video motion. Changing the low noise pipeline will influence the final look of the video with all the details. You can boost values here to get a stronger LoRA effect without changing motion, but beware this is where oversaturation can occur.

In my experience, the mode looks best up to about 1.50 and any more extreme effects are better achieved with prompt hints.

My sample videos include label text that shows the strength that was used for each so you can see what the effects are. Feel free to play around with the values on your own until you get the look you want.

Finally, my biggest frustration with this model is the influence of the faces from my dataset. It changes the faces of the women in the videos and the oversaturation of the faces can be very frustrating at high strength. I trained the LoRA here on Civitai and I don't know if that trainer supports masking. I'd love to censor the faces from the dataset to reduce these bad effects, but I don't know if it'll work or how to set it up. If anyone here has experience with using masks on the Civitai Wan trainer specifically, I'd love to hear your advice on this and I'll make a Version 2.

I hope you all enjoy this dose of strong women.