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--- |
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license: apache-2.0 |
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language: |
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- en |
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pipeline_tag: text-to-image |
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tags: |
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- safetensors |
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- diffusers |
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- image-generation |
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- stable-diffusion |
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--- |
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## TIGMaN AI - Trained Image Generation Model and Neural AI |
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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. |
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## Limitations |
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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. |
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## Datasets/Sources Used For Training |
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TIGMaN is trained on images and content from the following sources: |
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- **Pexels:** Pexels License (Public Domain) |
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- **LIBRESHOT:** CC0 (Public Domain) |
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- **Unsplash:** Lite Dataset License (Public Domain) |
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- **opengameart.org:** CC0 (Public Domain) |
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- **Authors:** CC0 (Public Domain) |
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- **Contributors:** CC0 (Public Domain) |
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- **Met Museum Open Access** CC0 (Public Domain) |
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## Intended Uses |
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* Generative art |
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* Experiments on generative AI |
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* Research on the limits of the public domain |
