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:<pre><code>a woman orgasming, she is experiencing an orgasm, a woman having an orgasm, she is orgasming</code></pre>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:<pre><code>A woman having an orgasm</code></pre>You might have to test lora strength somewhere between 1 and 2.Some example phrases that might help guide the model to better results:<pre><code>She opens her mouth wide, she closes her eyes, her body twitches</code></pre>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.

Female Orgasm LoRA for Wan2.1 I2V and Hunyuan Video

orgasm_v4_e48.safetensors

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