metadata
license: apache-2.0
language:
- en
pipeline_tag: text-to-image
tags:
- safetensors
- diffusers
- image-generation
- stable-diffusion
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