Hub or locally. For this loading method, you need to set timestep_spacing="trailing" (feel free to experiment with the other scheduler config values to get better results):   Copied from diffusers import StableDiffusionXLPipeline, EulerAncestralDiscreteScheduler
import torch

pipeline = StableDiffusionXLPipeline.from_single_file(
    "https://huggingface.co/stabilityai/sdxl-turbo/blob/main/sd_xl_turbo_1.0_fp16.safetensors",
    torch_dtype=torc