This article introduces the Flexible Vision Transformer (FiT), a groundbreaking image generation model capable of generating images independent of resolution and aspect ratio. Unlike traditional models, FiT treats images as a series of variable-sized image blocks, and through clever network structure design, it achieves flexible processing of images of different resolutions without additional training. This has brought revolutionary changes to the field of image generation and provided a new direction for future innovations in image processing technology. The article also provides a brief overview of the latest progress in other related large model and generative model frameworks, providing readers with more comprehensive information.
The emergence of Flexible Vision Transformer (FiT) marks a new stage in image generation technology. Its unique image block processing method and flexible adaptability provide unprecedented possibilities for creating images of various sizes and proportions. In the future, FiT and related technologies are expected to be applied in more fields and promote the further development of image generation technology.
I hope this article can help readers understand the FiT model and its significance in the field of image generation.