Pick-and-Draw: Training-free Semantic Guidance for Text-to-Image
Personalization
Pick-and-Draw: Training-free Semantic Guidance for Text-to-Image
Personalization
Diffusion-based text-to-image personalization have achieved great success in generating subjects specified by users among various contexts. Even though, existing finetuning-based methods still suffer from model overfitting, which greatly harms the generative diversity, especially when given subject images are few. To this end, we propose Pick-and-Draw, a training-free semantic guidance approach …