FLUX.1, an open-source large model platform launched by AI image generation expert Robin Rombach, features a Vision Transformer architecture with 12 billion parameters. Utilizing techniques such as flow-matching training methods and rotational positional embedding, it significantly surpasses closed-source models like DALL·E 3 and Midjourney V6, as well as the SD3 series. In terms of performance, FLUX.1 excels in text semantic restoration, image quality, action consistency, coherence, and diversity.

Midjourney V6 has been released, featuring text-to-image generation and emphasizing enhanced language processing capabilities. Key improvements include better adherence to prompts and support for longer prompt lengths. Enhancements are based on context management, sequence modeling, and interactive state tracking, improving the model's logical consistency. The advantages of the text-to-image model lie in public image resources, which can be used to continually enhance the performance of the pre-trained large model. Additionally, Midjourney V6 has introduced text rendering capabilities, further expanding its language-related functionalities.