--- license: other license_name: fair-ai-public-license-1.0-sd license_link: https://freedevproject.org/faipl-1.0-sd/ --- # New Image Generation Model This is an image generation model based on training from Illustrious-xl. It utilizes the latest full Danbooru and e621 datasets for training, with native tags caption. ## Datasets - Latest Danbooru images up to the training date(for v1.0,it mean before 2024-10-23) - E621 images [e621-2024-webp-4Mpixel](https://huggingface.co/datasets/NebulaeWis/e621-2024-webp-4Mpixel) dataset on Hugging Face ## Caption ``` <1girl/1boy/1other/...>, , , , , ``` ## Quality Tags For quality tags, we evaluated image popularity through the following process: - Data normalization based on various sources and ratings. - Application of time-based decay coefficients according to date recency. - Ranking of images within the entire dataset based on this processing. Our ultimate goal is to ensure that quality tags effectively track user preferences in recent years. | Percentile Range | Quality Tags | |:-----------------|:------------------| | > 95th | masterpiece | | > 85th, <= 95th | best quality | | > 60th, <= 85th | good quality | | > 30th, <= 60th | normal quality | | <= 30th | worst quality | ## Date tags | Year Range | Period | |:-----------------|:------------------| | 2005-2010 | old | | 2011-2014 | early | | 2014-2017 | mid | | 2018-2020 | recent | | 2021-2024 | newest | # Model License This model's license inherits from ill0.1's free ai license and adds the following terms. Any use of this model and its variants is bound by this license. ## I. Usage Restrictions - Prohibited use for harmful, malicious, or illegal activities, including but not limited to harassment, threats, and spreading misinformation. - Prohibited generation of unethical or offensive content. - Prohibited violation of laws and regulations in the user's jurisdiction. ## II. Commercial Prohibition We prohibit any form of commercialization, including but not limited to monetization or commercial use of the model, derivative models, or model-generated products. ## III. Open Source Community For the open source community, you need to: - Open source derivative models, merged models, LoRAs, and products based on the above models. - Share work details such as synthesis formulas, prompts, and workflows. - Follow the fair-ai-public-license to ensure derivative works remain open source. ## IV. Disclaimer Generated models may produce unexpected or harmful outputs. Users must assume all risks and potential consequences of usage.