For v0.0.0, I trained the LoRA using 24 training images featuring the same pose and the same room, plus 6 additional images showing variations of the pose and environment.

As a result, applying the LoRA tends to overfit the pose and scenery, causing both to become strongly fixed.

The training used the terms "virtual_insanity_pose" and "liminal space" in advance, but during generation, the model tends to reproduce the training images almost verbatim regardless of which trigger words are used.