Sikvel

AI Solitaire - Single Ladies - Aisha

AI Solitaire - Single Ladies - Aisha
Supported OS Windows
Release Date 17 August 2024
Developers Bikini Beach Games
Publishers Bikini Beach Games
Sold copies ~ 10,000
$2.99 -20% Buy at discount!
Buy for $2.39 $2.99
You will be redirected to the official Steam website
About this dlc  

AI Solitaire - Single Ladies - Aisha provides 6 new decks to use with AI Solitaire! Each of these decks features our fashion model Aisha.

Packages

AI Solitaire - Single Ladies - Aisha

$2.99 -20% 2.39 USD
Features
Single-player Downloadable Content Partial Controller Support
Genres
Casual Strategy

The first time you run AI Solitaire you will be directed to the Parental Controls menu. There you can set the allowable content level that will be seen in the game. You may protect these settings with a password, or you can permanently change them so that they can only be changed by uninstalling and reinstalling the game. AI Solitaire is intended to be a celebration of AI Generated Art. The content of this DLC includes beautiful women rendered in a variety of artistic styles. The outfits and costumes can be revealing. Various art styles may feature exagerated proportions. Swimsuits and sexy clothing will always have a minimum of a Teen+ rating. Overly exagerated female proportions or wearing realistic lingerie will be rated Adult.

AI Solitaire - Single Ladies - Aisha is © Copyright 2024 by Denki Gaka. All Rights Reserved.
Please Note: The art for the majority of the card decks was created using Stable Diffusion, an artificial intelligence text to image generator. The main purpose in creating this product was to test the limits of what is possible using this amazing new technology. We claim copyright in the card deck images as they are presented here, but acknowledge that the artwork is not an original work made by us, but rather is the results of years of hard work by talented computer scientists, as well as decades, if not centuries, of artistic endeavor by the truly talented artists whose work was used to train the models. Acknowledgement and our thanks goes out to both groups.