---
license: apache-2.0
language:
- en
pipeline_tag: text-to-image
tags:
- safetensors
- diffusers
- image-generation
- stable-diffusion
---
![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6500c7c912c1442d994c36e5/VasTVNmub5PzLwUbDgbQL.jpeg)

## 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