A single adaptation layer allows pre-trained visual encoders to function within generative latent spaces. Researchers at Apple solved the mismatch between understanding-oriented features and generation-friendly spaces. This method simplifies the integration of high-quality representations into diffusion models. Practitioners can now leverage frozen encoders without extensive retraining or complex architectural overhauls.