Enhancing Text-to-Image Diffusion Models through Fine-Tuning the Text Encoder

Fine-tuning the pre-trained text encoder can significantly enhance the performance of text-to-image diffusion models, leading to better image quality and text-image alignment, without introducing additional computational or storage overhead.