Reports indicate that Reddit users have been paying for fake, AI-generated nude photos of a woman. These images, created by the AI tool Stable Diffusion, are extremely realistic and difficult to distinguish from real photographs. They first appeared on multiple Reddit forums a few months ago, garnering significant attention and comments from users.
Beautiful photos generated by Stable Diffusion
One user even left a comment after seeing Claudia's photos: "You are so beautiful!" Another exclaimed, "Wow, she's really gorgeous!"
Although some users began to suspect the authenticity of these photos, believing they looked too manipulated, many others remained captivated by the allure of this "beauty."
An informed user reminded everyone in a comment: "I have to burst your bubble; this is actually AI-generated. If you've played with AI image models, you'd spot it right away."
The creator of Claudia revealed that they have earned around $100 by selling these nude photos. Initially, the account's purpose was to test whether AI images could successfully deceive users.
They stated: "You can think of this as the concept of a virtual streamer. We created our own character and performed completely under another identity. We didn't expect it to attract so much attention."
AI researchers pointed out that Claudia's photos do exhibit some obvious AI-generated features, such as strange details in the background and imperfections in the hands. The emergence of these images marks the latest development in AI diffusion model technology, which can generate entirely new, realistic human images.
It is worth noting that Claudia first appeared on the r/amIhot subreddit, which has since implemented measures requiring users to provide 10 to 15 seconds of video to verify their identity to prevent similar incidents.
Key Points:
🌐 AI technology has made the virtual model "Claudia" a hot topic on Reddit.
💰 The creator has earned approximately $100 by selling Claudia's nude photos.
🔍 The r/amIhot subreddit has introduced identity verification measures to prevent misleading users.
