depth_detector = ZoeDetector.from_pretrained("lllyasviel/Annotators").to("cuda")
video = load_video("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/animatediff-vid2vid-input-1.gif")
conditioning_frames = []

with pipe.progress_bar(total=len(video)) as progress_bar:
for frame in video:
conditioning_frames.append(depth_detector(frame))
progress_bar.update()