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

arXiv:2404.05256v1 Announce Type: new
Abstract: Recent advancements in text-to-image models, such as Stable Diffusion, have demonstrated their ability to synthesize visual images through natural language prompts. One approach of personalizing text-to-image models, exemplified by DreamBooth, fine-tunes the pre-trained model by binding unique text identifiers with a few images of a specific subject. Although existing fine-tuning methods have demonstrated competence in rendering images according to the styles of famous painters, it is still challenging to learn to produce images encapsulating distinct …

abstract arxiv cs.ai cs.cv diffusion dreambooth image image generation images language natural natural language natural language prompts personalized pre-trained model prompts stable diffusion synthesis text text-to-image through type via visual