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1from optimum.intel.openvino.modeling_diffusion import OVStableDiffusionPipeline
2
3model_path = 'XXX2333/sdxs-512-dreamshaper-openvino'
4pipeline = OVStableDiffusionPipeline.from_pretrained(
5 model_path,
6 ov_config={"CACHE_DIR": ""},
7)
8prompt = "a close-up picture of an old man standing in the rain"
9
10images = pipeline(
11 prompt=prompt,
12 width=512,
13 height=512,
14 num_inference_steps=1,
15 guidance_scale=1.0,
16).images
17images[0].save("output-ov.png")