import torch
from diffusers import StableDiffusionPipeline

MODEL_ID = "stabilityai/sd-turbo"

_pipe = None

def get_pipe():
    global _pipe

    if _pipe is None:
        _pipe = StableDiffusionPipeline.from_pretrained(
            MODEL_ID,
            torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32,
        )

        _pipe = _pipe.to("cuda" if torch.cuda.is_available() else "cpu")

        # sd-turbo does not use safety checker
        if hasattr(_pipe, "safety_checker"):
            _pipe.safety_checker = None

    return _pipe


def generate_image(prompt: str):
    pipe = get_pipe()

    image = pipe(
        prompt=prompt,
        num_inference_steps=4,
        guidance_scale=0.0
    ).images[0]

    return image