A Telegram user who advertises their services on Twitter will create an AI-generated pornographic image of anyone in the world for as little as $10 if users send them pictures of that person. Like many other Telegram communities and users producing nonconsensual AI-generated sexual images, this user creates fake nude images of celebrities, including images of minors in swimsuits, but is particularly notable because it plainly and openly shows one of the most severe harms of generative AI tools: easily creating nonconsensual pornography of ordinary people.
Wait? This is a tool built into stable diffusion?
In regards to people doing it themselves, it might be a bit too technical for some people to setup. But I’ve never tried stable diffusion.
It’s not like deep fake pornography is “built in” but Stable Diffusion can take existing images and generate stuff based on it. That’s kinda how it works really. The de-facto standard UI makes it pretty simple, even for someone who’s not too tech savvy: https://github.com/AUTOMATIC1111/stable-diffusion-webui
Img2img isn’t always spot-on with what you want it to do, though. I was making extra pictures for my kid’s bedtime books that we made together and it was really hit or miss. I’ve even goofed around with my own pictures to turn myself into various characters and it doesn’t work out like you want it to much of the time. I can imagine it’s the same when going for porn, where you’d need to do numerous iterations and tweaking over and over to get the right look/facsimile. There are tools/SD plugins like Roop which does make transferring over faces with img2img easier and more reliable, but even then it’s still not perfect. I haven’t messed around with it in several months, so maybe it’s better and easier now.
It depends on the models you use too. There’s specific training models data out there and all you need to do is give it a prompt of “naked” or something and it’s scary good at making something realistic in 2 minutes. But yeah, there is a learning curve at setting everything up.
Thanks for the link, I’ve been running some llm locally, and I have been interested in stable diffusion. I’m not sure I have the specs for it at the moment though.
An iPhone from 2018 can run Stable Diffusion. You can probably run it on your computer. It just might not be very fast.
By the way, if you’re interested in Stable Diffusion and it turns out your computer CAN’T handle it, there are sites that will let you toy around with it for free, like civitai. They host an enormous number of models and many of them work with the site’s built in generation.
Not quite as robust as running it locally, but worth trying out. And much faster than any of the ancient computers I own.