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Challenges might include the complexity of training bi-directional models and the potential trade-offs between speed and quality. I should address these to give a balanced view.

Okay, time to put this all together into a structured paper with clear sections and logical flow, making sure each part addresses the user's request for an informative paper on the best practices and applications of LBFM in image generation. lbfm pictures best

Also, think about the structure again. Start with an introduction that sets the context of image generation challenges. Then explain LBFM, how it works, its benefits, best practices for using it, applications, challenges, and future directions. how it works