Z-Image

Researchers introduced i2L (image-to-LoRA), a framework that compresses style LoRA training into a single forward pass, enabling immediate style instantiation from reference images without per-style o…

Researchers have developed Diff-Instruct with Diffused Reward (DIDR), a data-free trajectory-level alignment framework that propagates reward-tilted clean-image distributions across all noise levels t…