My guess is those images likely used one of those models that takes one of the newer stable diffusion versions (2.x, XL) and tries to train it to allowing nudity. The problem is, those models are heavily censored unlike the 1.x models, so if you want to be successful, you will need a MASSIVE dataset of nude and porn images, very good captions for the images, and aggressive and lengthy training sessions. Lora also won't cut it.
These also don't seem to be trained to focus on the celebrities being generated here, so they have a poor likeness, unlike my models which were trained specifically on each individual celebrity, as well as a large collection of nude photoshoots and porn.
In my experience, the newer SD models are going to be more trouble than they're worth, until I'm able to get a more powerful GPU and increase the size of my nudity datasets. While the newer models can render higher resolutions with less need for upscaling, it's just going to take a LOT more work to train them to doing what we want with them to a quality level that is satisfying, so I'd rather focus on the older models and using careful ControlNet parameters to upscale the results. I specifically include a lot of closeup shots in my datasets because I think that will help with the details when rendering larger resolutions. Without those closeups, the model may not have a clear idea of what certain features look like at high resolutions. I do need to add some more closeups to focus more on hands and open mouths though I think.
That being said, I keep all of my dataset images in their highest resolution possible, so whenever I end up upgrading to a new GPU (could still be years away) I'll be able to start training with the new generation of models, and come up with training parameters that are aggressive and lengthy enough to work.
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