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Sep 21, 2026
Version 1.0 Notes:
Initial Release: Optimized natively for the Illustrious-XL architecture using a balanced learning rate matrix.
Dataset Scale: Trained using 125 high-resolution images running at 16 repetitions over 10 epochs (totaling 10,000 internal steps).
Checkpoint Selection: Compiled from Epoch 5, selected as the absolute sweet spot for maximum composition flexibility and crisp defining features.
Anatomical Consistency: Structural weights have been finely tuned to capture her signature defining features.
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License:
Illustrious LicenseYu Seolha (Absolute Dominion) | Character LoRA
This is a dedicated character LoRA for Yu Seolha from the manhwa Absolute Dominion.
To ensure the highest possible quality and composition versatility, this model was trained on a highly curated dataset consisting of 125 high-resolution, high-detail images optimized natively for the Illustrious-XL architecture. No specific backgrounds, rigid poses, or static aesthetics are baked into the weights, ensuring maximum prompt responsiveness.
⚠️ Work In Progress Note:
This model is an ongoing project. It will be continuously updated version-by-version if and when more high-detailed images become available for training.
Key Capabilities:
High Fidelity: Accurately reproduces her signature character design, including her asymmetrical facial structure, intense eye shape, forehead cloth wrap, and distinct long hair configuration.
Exceptional Flexibility: Highly receptive to clothing modifications, environment changes, and complex compositional prompts.
Versatile Application: The model functions seamlessly across various workflows, adapting effortlessly to traditional martial arts settings, modern apparel shifts, or specialized content requests based entirely on user prompting.
Generation Recommendations:
Base Model: Formulated for Illustrious XL and derivative community models.
LoRA Weight: 0.8 - 1.2 (Adjust according to your specific checkpoint and prompt complexity).
Feedback and community generations are highly encouraged. Please consider uploading your renders to the review section below to help optimize future version updates.
