OnomaAIResearch/Illustrious-xl-early-release-v0

Model Card: Illustrious-XL-v0.1

License:

• Type: Other
• Name: fair-ai-public-license
• Link: https://freedevproject.org/faipl-1.0-sd/

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Model Information:

Name: Illustrious-XL-v0.1
Model Type: Stable Diffusion XL Model
Dataset: Fine-tuned on Danbooru2023 Dataset

Description:
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.

Technical Details:

• Full technical details and specifications will be released soon.
• Expected Release Date: September 30, 2024, 00:00 UTC.

Terms and Conditions:

• This is an early release version of the model.
• Redistribution of the model is strictly prohibited until the official release.
• The Illustrious team intends to release future versions progressively, but reserves the right to withhold future releases if the terms of use are violated.

Training/Merging Policy:

You may fine-tune, merge, or train LoRA based on this model. However, to foster an open-source community, you are required to:

• Openly share details of any derived models, including references to the original model licensed under the fair-ai-public-license.
• Provide information on datasets and "merge recipes" used for fine-tuning or training.
• Adhere to the fair-ai-public-license, ensuring that any derivative works are also open source.
• However, please wait until the official release date before redistributing any derivative models.

Uploading / Generation Policy:

We do not restrict any upload or spread of the generation results, as we do not own any rights regard to generated materials. This includes 'personally trained models / finetuned models / trained lora-related results'. However, we kindly ask you to open the generation details, to foster the open source communities and researches.

Monetization Prohibition:

• You are prohibited from monetizing any close-sourced fine-tuned / merged model, which disallows the public from accessing the model's source code / weights.
• 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.