viel/control_v11p_sd15_openpose/resolve/main/images/control.png") Pass the controlnet to the AutoPipelineForText2Image, and provide the prompt and pose estimation image:   Copied pipeline = AutoPipelineForText2Image.from_pretrained(
	"runwayml/stable-diffusion-v1-5", controlnet=controlnet, torch_dtype=torch.float16, variant="fp16"
).to("cuda")
generator = torch.Generator("cuda").manual_seed(31)
image = pipeline("Astronaut in a jungle, cold colo