controlnet = ControlNetModel.from_pretrained(
"lllyasviel/control_v11p_sd15_openpose", torch_dtype=torch.float16, variant="fp16"
).to("cuda")
pose_image = load_image("https://huggingface.co/lllyasviel/control_v11p_sd15_openpose/resolve/main/images/control.png")
```  
Pass the `controlnet` to the [`AutoPipelineForText2Image`], and provide the prompt and pose estimation image:  
```py
pipeline = AutoPipelineForText2Image.from_pretrained(