Open-MAGVIT2
Open-MAGVIT2 is an open-source auto-regressive image generation model collection replicating Google's MAGVIT-v2 tokenizer, featuring a massive vocabulary. It introduces asymmetric token factorization and improved sub-token interaction for enhanced image quality. The project provides models up to 1.5B parameters and excels in reconstructing performance on 256x256 ImageNet images. By making its codes and models accessible, it promotes innovation and creativity in visual generation.
