eForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=torch.float16, variant="fp16")
pipeline = pipeline.to("cuda") You can also use the from_single_file() method to load a model checkpoint stored in a single file format (.ckpt or .safetensors) from the Hub or locally. For this loading method, you need to set timestep_spacing="trailing" (feel free to experiment with the other sch