controlnet-aux

import requests from PIL import Image from io import BytesIO from controlnet_aux.processor import Processor # Load an image from a URL url = "https://huggingface.co/lllyasviel/sd-controlnet-openpose/resolve/main/images/pose.png" response = requests.get(url) img = Image.open(BytesIO(response.content)).convert("RGB") # Instantiate the processor for a specific ControlNet annotator (e.g., 'openpose') # Common processor_ids include: 'canny', 'depth_leres', 'openpose', 'scribble_hed', 'lineart_realistic', 'dwpose' processor_id = 'openpose' processor = Processor(processor_id) # Process the image processed_image = processor(img, to_pil=True) # Display or save the processed image # processed_image.show() # Uncomment to display print(f"Image processed successfully using {processor_id}. Output image size: {processed_image.size}")