from optimum.intel import OVStableDiffusionXLPipeline
from diffusers import DiffusionPipeline, LCMScheduler
import time
model_path = 'XXX2333/centerfold-pony-v20-sdxl-openvino'
pipeline = OVStableDiffusionXLPipeline.from_pretrained(
model_path,
ov_config={"CACHE_DIR": "."},
)
prompt="a photo of a cat, score_9"
image = pipeline(prompt = prompt, num_inference_steps=8,guidance_scale=1).images[0]
image.save("ovgenerated_ship.png")
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