et_conditioning_scale = 0.5
>>> controlnet = ControlNetXSModel.from_pretrained(
...     "UmerHA/ConrolNetXS-SD2.1-canny", torch_dtype=torch.float16
... )
>>> pipe = StableDiffusionControlNetXSPipeline.from_pretrained(
...     "stabilityai/stable-diffusion-2-1", controlnet=controlnet, torch_dtype=torch.float16
... )
>>> pipe.enable_model_cpu_offload()

>>> # get canny image
>>> image = np.array(image)
>>> image = cv2.Canny(image, 100, 200)
>>> i