Advancements in Personalized Artistic Image Generation via Subdivision and Dual Binding for Text-to-Image Synthesis of Any Artistic Styles

The core message of this paper is to introduce a novel fine-tuning method called StyleForge that enables personalization of text-to-image generation across various artistic styles. StyleForge utilizes a pre-trained text-to-image diffusion model and fine-tunes it using a combination of target style reference images and auxiliary images to capture the intricate details of the target style.