from optimum.intel.openvino.modeling_diffusion import OVStableDiffusionPipeline batch_size = 1 num_images_per_prompt = 1 height = 256 width = 256 # load the model and reshape to static shapes for faster inference model_id = "helenai/andite-anything-v4.0-ov" stable_diffusion = OVStableDiffusionPipeline.from_pretrained(model_id, compile=False) stable_diffusion.reshape( batch_size=batch_size, height=height, width=width, num_images_per_prompt=num_images_per_prompt) stable_diffusion.compile() # generate image! prompt = "a random image" images = stable_diffusion(prompt, height=height, width=width, num_images_per_prompt=num_images_per_prompt).images images[0].save("result.png")