Uncovering the Latent Potential of Text Embedding in Text-to-Image Diffusion Models
The text embedding, as the pivotal intermediary between text and images in text-to-image diffusion models, possesses inherent properties that enable controllable image editing and explicable semantic direction discovery in a learning-free manner.
