This is not only i2v Lora. The idea is to teach the correct male anatomy. All examples are t2v. It should perform way better with i2v if the anatomy is already present, but hopefully when I finish training it will not be needed. This is a first experimental version. Trained with my experimental implementation of <a target="_blank" rel="ugc" href="https://github.com/diodiogod/musubi-tuner_simple_GUI">Musubi in my GUI</a>. <a target="_blank" rel="ugc" href="https://github.com/diodiogod/musubi-tuner_simple_GUI">https://github.com/diodiogod/musubi-tuner_simple_GUI</a>After proper quality control technique (inspired by Ostris AiToolkit), it maintains quality very well. I intend to keep training it. It was trained at first with just still images at 256x. Why? Since Klein training first on 256 has been positively good. I'm doing a continuation training on 1024 for details now and maybe I'll try 2048. I trained 10 epochs, each is 1.629 steps. But I choose epoch 8 as it had the best asshole positioning. Penis shape is still shit. But it's getting there. If you use a i2v for first frame with a penis it should be great. No trigger word, just reference a man from behind or showing assSome supporting trigger words used on the dataset:<pre><code>glans, large penis, small penis, medium-size penis, wide open anus gap, closed tight anus gap, penis upside-down, scrotum, testicles, low-hanging testicles, hairy, shaved </code></pre>

Male Ass – H3

Epoch 8, so 13.032 steps. 256x. Use 1.0

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