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")
Downloads last month
4
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support