Underview v1 - A Penis Model for Z-Image

This model is version 4 of attempting to train male anatomy with z-image turbo. I used the z-image de-turbo model provided by Ostris's Ai-Toolkit. After many attempts, I found that training at a high step count (this model is at 12k steps with 50 images at 512px with the de-turbo preset) and essentially over-baking allowed a low strength to be used so that quality of the image isn't badly degraded. This model is best used with a strength of 0.50-0.67, the quality should be similar to base (or better) and remains very flexible in outputs. It works best with a CFG more than 1 but less 3, I usually use 1.8 at 12-20 steps. You may need to do a low de-noise after to get some finer details. The model was trained with captions provided with the AutoDescribe-Images tool provided by hydropix on github. The trigger word is Underview, I specifically avoided training images of the top part of the glans as loras tend to get confused on which way is top or below, so keep vantage points at a lower angle and expect to get gens with the penis pointed up or to the side.

Underview v2

v2 is a modified version of v1 with an improved and much more consistent output. thanks to the amazing RealTimeLora v2 node shootthesound made!

After trial and error, the layers 24, 27, 28, and 29 could be turned off and eliminate most of the unwanted noise/artifacts that are present when the lora gets to full strength.

The lora also seems to understand higher angle views now, keeping it named "Underview" may be underselling it.

The RealTimeLora node pack also comes with a lora scheduling node that greatly improves the output.

The best schedule for the lora is (0:0, 0.2:0.65, 0.85:1, 1:0.65).

The v2 workflow is here: Underview v2 Workflow

The v1 version of the lora is still recommended to be used as a base pass (0.65 strength) before passing it to the v2 lora (with the above strength schedule).

v1 is better at following the prompted body types if you are wanting a less defined physique.