DignifAI : Puts clothes on nude photos

DignifAI is a new fashion AI tool aimed at women that is gaining traction as it puts clothes on nude photos instead of taking them off.

dignifai n

“DignifAI” emerged from the controversial messaging site 4chan, which gathered some people using artificial intelligence tools to add clothes to nude photos of women. And going a step further they even remove tattoos or anything that is wacky.

The “DignifAI movement” has an account on X (formerly Twitter) where he posted some images taken at the recent Grammy Awards in which Miley Cyrus and Doja Cat have changed their looks. Doja Cat has her tattoos removed, while Miley has a whole new wardrobe change.

 

And they haven't just stopped there. The infamous image of Elon Musk in a swimsuit on a boat has been turned into a suit.
dignifai 2

Even the naked statues have been dressed using artificial intelligence..
dignifai 3

DignifAI has a website which contains instructions on how to install and configure the AI ​​image generator. Most of the AI ​​image tools he mentions are questionable as they work through an offline version of Stable Diffusion.

DignifAI was started by 4Chan members who say they want to eliminate e-girls who post photos of themselves, using artificial intelligence to edit them so they look like they're wearing less clothing.

The movement was charged by conservative influencer Jack Posobiec (Jack Posobiec), after he started retweeting DignifAI posts.

Get the best viral stories straight into your inbox!















aftificial,intelligence,DignifAI,artificial,intelligence

Written by Dimitris

Dimitris hates on Mondays .....

Leave a reply

Your email address is not published. Required fields are mentioned with *

Your message will not be published if:
1. Contains insulting, defamatory, racist, offensive or inappropriate comments.
2. Causes harm to minors.
3. It interferes with the privacy and individual and social rights of other users.
4. Advertises products or services or websites.
5. Contains personal information (address, phone, etc.).