ginal = StableDiffusionPipeline.from_pretrained(
    "CompVis/stable-diffusion-v1-4", torch_dtype=torch.float16, use_safetensors=True,
).to("cuda") Given a prompt, get the inference time for the original model:   Copied import time

seed = 2023
generator = torch.manual_seed(seed)

NUM_ITERS_TO_RUN = 3
NUM_INFERENCE_STEPS = 25
NUM_IMAGES_PER_PROMPT = 4

prompt = "a golden vase with different flowers"

start = time.time_ns()
for _ in range(NUM_IT