Uber Realistic Porn Merge (URPM) - LoRA Extract

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My SDXL and Pony-SDXL Hybrid models are now available here: /model/790652/uber-realistic-porn-merge-ponyxl-hybrid-or-xl-and-pony-loras-or-controlnet

This is based on the URPM checkpoint. For more information check out the checkpoint page! /model/2661/uber-realistic-porn-merge-urpm

How to use it in AUTOMATIC1111 WebUI?

Place the LoRA model in .\stable-diffusion-webui\models\Lora then use lora:filename:multiplier in the prompt.

Example Images:

None of the sample images were altered, upscaled, etc. All can be reproduced using the metadata via the unpruned model with xformers disabled.

Prompting help (Depends on the model, some of these may not be possible):

Doggystyle:

positive: 20 year old woman (on all fours), ((penis penetrating pussy)), 1man, 1girl
negative: ((blurry)), duplicate, deformed, cartoon, animated, child, childish

Pussy Penetration:

positive: 20 year old woman riding dick, (penis penetrating pussy), ((detailed facial features))
negative: ((blurry)), duplicate, deformed, cartoon, animated, child, childish

Blowjob:

positive: 20 year old woman giving a man a blowjob, (sucking dick), ((detailed facial features))
negative: ((blurry)), duplicate, deformed, cartoon, animated, child, childish

Blowjob with Cum:

prompt: 20 year old woman sucking dick, (cum dripping on face)
negative: ((blurry)), duplicate, deformed, makeup, cartoon, animated, render, missing limbs, child, childish

Pussy Spread / Hands on pussy

prompt: 20 year old woman masturbating, legs spread, (hand on pussy), (detailed face)
negative: ((blurry)), duplicate, deformed, makeup, cartoon, animated, render, missing limbs, child, childish

If you notice that it’s not doing what it should do, be extremely light with the negative prompt. Example: ((blurry)), animated, cartoon, duplicate, child, childish

And then I re-use the same seed and add more words when needed.

Just like any NSFW merge that contains merges with Stable Diffusion 1.5, it is important to use negatives to avoid combining people of all ages with NSFW. This is sadly unavoidable without adding negative prompts, until there is an embedding or the like that can help automate this process. Here are a few things that I generally do to avoid such imagery (and will start representing this change in future version examples):

I avoid using the term "girl" or "boy" in the positive prompt and instead opt for "woman" or "man". The only exception is when I am specifying how many women should appear in a scene, which I would then use "1girl" or "2girls".

In the negative prompt I use: child, childish.

This has helped me prevent any kind of accidental imagery. I know a lot of us are used to using the term "girl" for "women", but AI can't understand the difference.

Liability:

In no event shall I or my team be liable for any claim, damages or other liability, whether in an action of contract, tort or otherwise, arising from, out of or in connection with the use of this model. Please render responsibly.