Catching Heat v0.3.0

How our system works: poses, tags, etc defined
This post aims to help define and describe our process for generating game content.
pose: A human pose. These are usually generated using AI from models created in software such as Blender or other model/pose creating software.
tags: These are text attributes that describe the desired image. By changing the attributes, we can control many aspects of the generated image that would otherwise be very difficult to control.
In a nutshell: Our system works by taking a human pose, combining it with attribute tags and shoving it through a custom neural network that takes the two inputs and produces images, scenery, etc.
This project aims to push the limits of AI to generate compelling adult-themed games. The benefits from AI generated content include rapid regeneration of visuals and content tailored to specific interests or styles.
Under development is Catching Heat, the first in a trilogy of games we’d like to produce. Catching Heat follows the story of a succubus who strives to seduce a group of individuals and use the “lust energy” from them for some noble purpose (she won’t tell us why!). Her goals are thwarted, however, by a mysterious creature that was initially “helping” her with her plan.
The research and experiments to develop the initial models is a time-consuming process and uses intense compute resources (lots and lots of GPUs training for months at a time). For this reason, we ask your help. If you like our content, please consider supporting us in generating new unique content and pushing AI and gaming to the next-level.