Flux Me is a checkpoint model meticulously designed to elevate the quality of realism in image synthesis from text. Trained utilizing a rich dataset comprising 2000 specialized images and 5400 regular images, this model inherits the foundational capabilities of the Flux Dev base model while refining visual details and representational accuracy. For optimal results, we strongly recommend employing a guidance scale of 3.0 and setting the number of steps between 4 and 35, with the Euler Beta sampler.