Zhou 2 · De 1† & Usage https://github.com/user-attachments/assets/b29a4cd4-d103-4f7c-a890-2cdde307ef36 dc-sae brings image reconstruction and latent-space generation into one training and evaluation pipeline. A pretrained vision encoder provides semantic features, an HF branch complements them, and a decoder reconstructs the image. DiT learns the resulting latent distribution for class-conditional generation. The release includes SAE and DiT training, latent-statistics estimation, reconstruction PSNR / rFID, and generation gFID evaluation at 256px and 512px, using configurations matched to each checkpoint. See the Installation & Usage guide for dependencies, model downloads, weight…