Custom Styles
Create, train, and manage your own AI styles. This collection covers everything from building a high-quality dataset and choosing the right category to training, publishing, unpublishing, and optimizing your custom styles for the best results.
5 articles
- How to build a good style dataset?Learn how to build a high-quality style dataset, including image quality requirements, maintaining consistency, diversifying subjects, and using existing models as a starting point.
- Quick Start with Styles TrainingLearn what style training is, how to prepare your dataset, how long training takes, and how to create your first custom style in starryai.
- What Does It Mean to Train a Style?Learn what style training means, how the AI learns visual patterns, and how custom styles can help with branding, storytelling, and creative control.
- When Creating Styles, How Do Categories Make a Difference?Learn how style categories affect training quality, what each category is optimized for, and how to choose the best option for your dataset.
- How Long Does Style Training Take?Learn how long style training usually takes, what to expect during busy periods, and what happens if training doesn’t complete successfully.