Need to include real-world applications. Maybe mention areas like medical imaging, where high resolution and detail are crucial, or in mobile devices due to lower power consumption. Also, consider artistic applications since image generation is widely used there.
Best practices could include model architecture optimization, training strategies, hyperparameter tuning, and computational efficiency. Applications should be varied and include both commercial and research domains. 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. Need to include real-world applications