TIGMaN-text-to-image

TIGMaN AI - Trained Image Generation Model and Neural AI

TIGMaN is a new cutting-edge image generation model based on the Stable Diffusion 1.5 architecture. TIGMaN is trained exclusively on public domain images, allowing it to be a robust and versatile model while ensuring that it is avaliable for unrestricted use.

Limitations

TIGMaN may face challenges in generating highly detailed or text-reliant images due to the constraints of permissive content datasets. Additionally, TIGMaN may carry biases encountered on the datasets used for training.

Datasets/Sources Used For Training

TIGMaN is trained on images and content from the following sources:

• Pexels: Pexels License (Public Domain)
• LIBRESHOT: CC0 (Public Domain)
• Unsplash: Lite Dataset License (Public Domain)
• opengameart.org: CC0 (Public Domain)
• Authors: CC0 (Public Domain)
• Contributors: CC0 (Public Domain)
• Met Museum Open Access CC0 (Public Domain)

Intended Uses

• Generative art
• Experiments on generative AI
• Research on the limits of the public domain