hanism by calling disable_freeu() on a pipeline. And then run inference:   Copied prompt = "A squirrel eating a burger"
seed = 2023
image = pipeline(prompt, generator=torch.manual_seed(seed)).images[0]
image The figure below compares non-FreeU and FreeU results respectively for the same hyperparameters used above (prompt and seed):  Let’s see how Stable Diffusion 2 results are impacted:   Copied from diffusers import DiffusionPipeline
import to