TIGMaN Text To Image

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

--- 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