![]() And in time, the group’s organizers began exploring ways to build - and monetize - their own porn-generating models on top of Stable Diffusion. One group, Unstable Diffusion, grew especially quickly on Reddit, then Discord. When Stable Diffusion, the text-to-image AI model developed by Stability AI, was open sourced late last year, it didn’t take long for the internet to wield it for porn-creating purposes. None of this has deterred Unstable Diffusion, one of the original groups behind AI porn generators, from forging ahead. And workers in adult films and art have raised concerns about what this means for their livelihoods - and their industry. Reddit users have been scammed with AI porn models, meanwhile - sold explicit images of people who don’t exist. In one instance reported by Fox News, a 15-year-old boy was blackmailed by a member of an online gym enthusiast group who used generative AI to edit a photo of the boy’s bare chest into a nude. In an even more disturbing example of the ways in which generative porn tech is being used, there’s been a small but meaningful uptick in the amount of photorealistic AI-generated child sexual abuse material circulating on the dark web. Just a few months ago, a 22-year-old was sentenced to six months in jail for taking underage womens’ photos from social media and using them to create sexually explicit deepfakes. The vast majority of pornographic deepfakes on the web depict women, in truth - and frequently, they’re weaponized.Ī Washington Post piece recounts how a small-town school teacher lost her job after students’ parents learned about AI porn made in the teacher’s likeness without her consent. To this day, the targeted creators receive copies of the images via DMs as a form of harassment. The creator of the deepfaked images eventually succumbed to pressure, agreeing to delete them. Twitch personality Brandon Ewing, known online as Atrioc, was recently caught on stream looking at nonconsensually deepfaked sexual images of well-known women streamers on Twitch. No easy answersĪs AI porn and the tools to create it become commodified, they’re beginning to have frightening real-world impacts. As for the images, while they aren’t perfect, some could well be mistaken for professional artwork.Īnd the ethical questions have only grown. People in the synthetic porn had extra limbs or a nipple where their nose should be, among other disconcerting, fleshy contortions.įast-forward to today, and a search for “AI porn generator” turns up dozens of results across the web - many of which are free to use. The apps and the AI models underpinning them struggled to understand the nuances of anatomy, often generating physically bizarre subjects that wouldn’t be out of place in a Cronenberg film. And the results weren’t what anyone would call “good.” When TechCrunch covered efforts to create AI porn generators nearly a year ago, the apps were nascent and relatively few and far between. And like its more respectable sibling, it’s improving. Hopefully you see something like this: data/dog.jpg: Predicted in 0.160994 seconds.As generative AI enters the mainstream, so, too, does AI-generated porn. darknet classify cfg/tiny.cfg tiny.weights data/dog.jpg Here's how to use it in Darknet (and also how to install Darknet): git clone The real winner here is clearly the Darknet reference model but if you insist on wanting a small model, use Tiny Darknet. ![]() Alexnet was a great first pass at classification but we shouldn't be stuck back in the days when networks this bad are also this slow!īut anyway, people are super into SqueezeNet so if you really insist on small networks, use this: Tiny Darknet Model ![]() So what about SqueezeNet? Sure the weights are only 4.8 MB but a forward pass is still 2.2 billion operations. Darknet is 2.9 times faster and it's small and it's 4% more accurate. When most high quality images are 10MB or more why do we care if our models are 5 MB or 50 MB? If you want a small model that's actually FAST, why not check out the Darknet reference network? It's only 28 MB but more importantly, it's only 800 million floating point operations. SqueezeNet is cool but it's JUST optimizing for parameter count. I've heard a lot of people talking about SqueezeNet. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |