import fal

@fal.function(
    requirements=["diffusers[torch]", "transformers"],
    machine_type="GPU",
    keep_alive=60,
)
def run_stable_diffusion(options: DiffusionOptions) -> Result:
		# Load the Diffusers pipeline
    pipe = load_model()

		# Perform the inference process
    result = pipe(options.prompt, num_inference_steps=options.steps)

		# Upload the image and return it
    image = Image.from_pil(result.images[0])
		return Result(image=image)

run_stable_diffusion("An astronaut riding a horse")