onfig(pipe.scheduler.config, timestep_spacing="trailing") rescale classifier-free guidance to prevent over-exposure   Copied image = pipe(prompt, guidance_rescale=0.7).images[0] For example:   Copied from diffusers import DiffusionPipeline, DDIMScheduler
import torch

pipe = DiffusionPipeline.from_pretrained("ptx0/pseudo-journey-v2", torch_dtype=torch.float16)
pipe.scheduler = DDIMScheduler.from_config(
    pipe.scheduler.config, rescale_betas_