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# Model Card: Illustrious-XL-v0.1 |
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## License: |
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- **Type**: Other |
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- **Name**: fair-ai-public-license |
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- **Link**: [https://freedevproject.org/faipl-1.0-sd/](https://freedevproject.org/faipl-1.0-sd/) |
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## Model Information: |
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**Name**: Illustrious-XL-v0.1 |
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**Model Type**: Stable Diffusion XL Model |
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**Dataset**: Fine-tuned on Danbooru2023 Dataset |
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**Description**: |
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Illustrious-XL is a powerful generative model, fine-tuned on the comprehensive Danbooru2023 dataset. It includes a wide variety of character designs, styles, and artistic knowledge derived from the dataset, making it suitable for creative and artistic AI generation tasks. |
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## Technical Details: |
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- Full technical details and specifications will be released soon. |
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- **Expected Release Date**: September 30, 2024, 00:00 UTC. |
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## Terms and Conditions: |
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- This is an early release version of the model. |
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- Redistribution of the model is strictly prohibited until the official release. |
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- The Illustrious team intends to release future versions progressively, but reserves the right to withhold future releases if the terms of use are violated. |
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## Training/Merging Policy: |
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You may fine-tune, merge, or train LoRA based on this model. However, to foster an open-source community, you are required to: |
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- Openly share details of any derived models, including references to the original model licensed under the fair-ai-public-license. |
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- Provide information on datasets and "merge recipes" used for fine-tuning or training. |
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- Adhere to the **fair-ai-public-license**, ensuring that any derivative works are also open source. |
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- **However, please wait until the official release date before redistributing any derivative models.** |
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**Monetization Prohibition**: |
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- You are prohibited from monetizing any **close-sourced fine-tuned / merged model, which disallows the public from accessing the model's source code / weights.** |
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- As per the license, you must openly publish any derivative models and variants. This model is intended for open-source use, and all derivatives must follow the same principles. |
