eo_path, "ffmpeg")
frame_count = 8
pose_images = [Image.fromarray(reader.get_data(i)) for i in range(frame_count)] Load a ControlNetModel for pose estimation and a checkpoint into the StableDiffusionControlNetPipeline. Then you’ll use the CrossFrameAttnProcessor for the UNet and ControlNet.   Copied import torch
from diffusers import StableDiffusionControlNetPipeline, ControlNetModel
from diffusers.pipelines.text_to_video_synthesis.pipeline_tex