LABridge: Text-Image Latent Alignment Framework via Mean-Conditioned OUProcess

Diffusion models have emerged as state-of-the-art in image synthesis.However, it often suffer from semantic instability and slow iterative denoising. We introduce Latent Alignment Framework (LABridge), a novel Text-Image Latent Alignment Framework via an Ornstein-Uhlenbeck (OU) Process, which explicitly preserves and aligns textual and visual semantics in an aligned latent space. LABridge employs a Text-Image Alignment Encoder (TIAE) to encode text prompts into structured priors that are directly aligned with image latents.