 many diffusion models. In contrast with muse, it uses the smaller text encoder CLIP-L/14 instead of t5-xxl. Due to its small parameter count and few forward pass generation process, amused can generate many images quickly. This benefit is seen particularly at larger batch sizes. Model Params amused-256 603M amused-512 608M  AmusedPipeline  class diffusers.AmusedPipeline  < source > ( vqvae: VQModel tokenizer: CLIPTokenizer text_encoder: CLIPTe