Illustrious-XL - CivArchive (CivitAI Archive)

Illustrious-XL - V-Pred-1.0-Version

Illustrious XL: A Powerful Model for Illustration

Illustrious XL is an advanced Stable Diffusion XL (SD XL)-based model, developed by OnomaAI Research, optimized specifically for illustration and animation tasks. It is built upon the Kohaku XL-Beta - Revision 5 checkpoint, leveraging its robust foundation to deliver high-quality generative capabilities.

The full technical specifications for Illustrious XL are available in https://arxiv.org/abs/2409.19946. For detailed information and updates, please refer to our official release page.

As an open-source project, Illustrious XL is designed to drive innovation and support the open-source community. We encourage collaboration, knowledge sharing, and transparency around its use, aiming to foster creative advancements in technology and content creation.

While the model is open for all to use, we urge users to uphold the spirit of openness. Using the model for closed-source or proprietary monetization purposes contradicts the ethos of this project.

Illustrious XL has been developed with resources provided by OnomaAI, and we hope that the community respects this by promoting open collaboration.

//09-26 - Fixed main thumbnail being wrongly uploaded

// The sentences were kindly cleaned up by gpt4o.

Description

Merry Christmas! NOOBAI XL-VPred 1.0 has been released! The V prediction series has come to a successful end, and what an interesting journey it has been. Who knows, we might have the chance to do this again in the future. With this, our Laxhar Lab's weekly update plan comes to a grand finale!

By the way, here are the advantages of this version:

1. Fine-tuned with high-quality datasets: We have optimized the model for anatomical accuracy and compositional rationality through meticulous adjustments with high-quality datasets.

2. Flexible style combination weights: The model now offers more flexibility in combining different painting styles, with improved robustness when overlaying multiple styles.

3. Enhanced utility of quality words: The effectiveness of quality words has become more pronounced in this version.

4. A blend of features from the standard and S versions: The color style is vibrant yet less prone to overexposure, combining the best of both worlds.

Usage recommendations and future work:

1. Use with dynamic CFG plugin: We recommend using the dynamic CFG & CFG Rescale plugin when employing the V prediction model to prevent oversaturation or overly gray images. You can refer to the configuration of 0.2 for the best results.

2. Choice of sampling methods: Although NOOBAI XL-VPred 1.0 supports most sampling methods, V prediction does not support the Karras series of sampling. Therefore, we suggest using Euler and DDIM sampling methods for more stable outcomes.

3. Ongoing updates and support: We will continue to update VPred 1.0, including the ControlNet model and other plugins. The main model will also be updated irregularly when there are significant improvements (let's see how the DIT effect of NAI4 is and learn from it), so stay tuned!

Lastly, I must share a personal recommendation: the recent game "MiSide" is truly a great game. It has been a long time since a solo game has moved me so much. I strongly recommend it. Wishing you all a Merry Christmas. After a year of hard work, it's time to rest. Until we meet again in this world of possibilitiesミ(・・)ミ