LlamaGen is a new family of image generation models that applies the original next token prediction paradigm of large language models to the field of visual generation. This model achieves state-of-the-art image generation performance without inductive bias on visual signals through appropriate extensions. LlamaGen re-examines the design space of image partitioners, the scalability properties of image generation models, and the quality of their training data.