Our project analyses image making models and how the images they create are interlaced with biases and limits in ways that are not immediately apparent to most users. This project was created by Kathleen Hoang, Ryan Munoz, and Luis Mateo.
We aimed to analyze the latent space that our images were being generated out of, and the pool of images that were created held evidence of bias and limits with prompts that restrained, as well as prompts that were open for the image generator. We analyzed multiple image generators, the generators being Stable Diffusion (web), Krea.ai, and ChatGPT and Midjourney.
We appreciate anything you have to say about our analysis and our project!