The latest OPT2I framework released by Meta Company has brought breakthrough progress to the image generation technology of text-to-image (T2I) model. This framework cleverly utilizes large-scale language models to effectively improve image consistency in the SD image generation process, significantly improving the matching between images and prompt words while maintaining image quality. This is undoubtedly an important technological innovation for application fields that rely on accurate image generation.
Meta Corporation has launched a new framework called OPT2I that utilizes large language models to improve consistency in the SD image generation process. This framework has been verified to significantly improve the consistency score while maintaining the quality of the generated images, providing a new and effective method to improve the cue-image consistency of T2I models.
The emergence of the OPT2I framework marks a new stage of image generation technology moving towards higher accuracy and consistency. In the future, we can look forward to more applications based on the OPT2I framework to bring users a better and more accurate image generation experience. The success of this framework also provides valuable experience and reference for the application of other large language models in the field of image generation.