sented as a proportion of discrete timesteps as defined by the scheduler. If you’re also using the strength parameter, it’ll be ignored because the number of denoising steps is determined by the discrete timesteps the model is trained on and the declared fractional cutoff. Let’s set denoising_end=0.8 so the base model performs the first 80% of denoising the high-noise timesteps and set denoising_start=0.8 so the refiner model performs the last 