How we optimized FLUX.1 Kontext [dev]

Introduced TaylorSeer optimization for FLUX.1 Kontext [dev], a method to approximate intermediate image predictions using cached image changes (derivatives) and formulae derived from Taylor Series approximations. This reduces model calls from 30 to 10-15 by caching past predictions and their finite differences and using Taylor series to approximate the model's output at skipped steps, while maintaining quality. Implemented a `generate_compute_step_map` function to control the acceleration level and decide which steps to compute fully and which to approximate.