#!/usr/bin/env python3
from diffusers import (
    SASolverScheduler,
    StableDiffusionPipeline,
    KDPM2DiscreteScheduler,
    StableDiffusionImg2ImgPipeline,
    HeunDiscreteScheduler,
    KDPM2AncestralDiscreteScheduler,
    DDIMScheduler,
)
import time
import torch
import sys
from pathlib import Path

# path = sys.argv[1]
path = "runwayml/stable-diffusion-v1-5"
device = "mps"

pipe = StableDiffusionPipeline.from_pretrained(path, torch_dtype=torch.float16)
pipe.scheduler = SASolverScheduler.from_config(pipe.scheduler.config)
pipe.to(device)

prompt = "A lion in galaxies, spirals, nebulae, stars, smoke, iridescent, intricate detail, octane render, 8k"

start_time = time.time()
generator = torch.Generator(device=device).manual_seed(0)
images = pipe(
    prompt=prompt, generator=generator, num_images_per_prompt=1, num_inference_steps=30
).images
print(time.time() - start_time)

images[0].show()