r running fewer inference steps. Let’s start by loading the model in float16 and generate an image:   Copied import torch

pipeline = DiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16, use_safetensors=True)
pipeline = pipeline.to("cuda")
generator = torch.Generator("cuda").manual_seed(0)
image = pipeline(prompt, generator=generator).images[0]
image  This time, it only took ~11 seconds to generate the image, which is almost 3