Z-Image-Turbo-SDA is a highly efficient LoKr (Low-Rank Kronecker Product) adapter designed to rescue the "Diversity Collapse" problem in few-step distilled Flow Matching / Diffusion models.
ZIT SDA (Semantic Directional Alignment) - v1
Version Detail
Z-Image-Turbo
Project Permissions
Model reprinted from : https://huggingface.co/F16/z-image-turbo-sda
Reprinted models are for communication and learning purposes only, not for commercial use. Original authors can contact us to transfer the models through our Discord channel --- #claim-models.