Trained on some hand picked scenes I personally liked. ( ͡° ͜ʖ ͡°)

From my testing v4 is very consistent and works fine at 1.0 strength, while v1 I had to set strength to 2.0 for consistent and better results, which sometimes distorted the image. Though v1 might still be a better choice when using multiple loras.

v4 info:

Samples were generated with lora strength at 1.0 and prompt:

a woman orgasming, she is experiencing an orgasm, a woman having an orgasm, she is orgasming

The prompt is just a concatenation of the captions used for training this lora. It might be possible to get more specific results by mixing and matching them in a specific way.

v1 info:

Samples were generated with strength 2 and prompt:

A woman having an orgasm

You might have to test lora strength somewhere between 1 and 2.

Some example phrases that might help guide the model to better results:

She opens her mouth wide, she closes her eyes, her body twitches

hunyuan info:

I don't really use hunyuan but since a few people requested it I gave it a try. The results aren't nearly as good as the wan version.

I reused my wan dataset when training it, which is 16 fps, so it might look sped up at the 24 fps that hunyuan uses.