User-Friendly Customized Generation with Multi-Modal Prompts

Understand

Text-to-image generation models have seen considerable advancement, catering to the increasing interest in personalized image creation.

• Current customization techniques often necessitate users to provide multiple images (typically 3-5) for each customized object, along with the classification of these objects and descriptive textual prompts for scenes.
• This paper questions whether the process can be made more user-friendly and the customization more intricate.
• We propose a method where users need only provide images along with text for each customization topic, and necessitates only a single image per visual concept.