further exploration of MIM by demonstrating its effectiveness on large-scale text-to-image generation and releasing reproducible training code. We also release checkpoints for two models which directly produce images at 256x256 and 512x512 resolutions. Model Params amused-256 603M amused-512 608M  AmusedPipeline  class diffusers.AmusedPipeline  < source > ( vqvae: VQModel tokenizer: CLIPTokenizer text_encoder: CLIPTextModelWithProjection transf