temporal-controlnet-lineart-svd-v1

Stable Video Diffusion Temporal Controlnet

Overview

Introducing the Stable Video Diffusion Temporal Controlnet! This tool uses a controlnet style encoder with the svd base. It's designed to enhance your video diffusion projects by providing precise temporal control.

Setup

• Controlnet Model: download the inference repo from here: https://github.com/CiaraStrawberry/sdv_controlnet
• Installation: run pip install -r requirements.txt
• Execution: Run "run_inference.py".

Demo

<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/63357214eb6132ca653020e7/RkjfJ8IKuZA-tYa-XS99y.mp4"></video>

Notes

• Focus on Central Object: The system tends to extract motion features primarily from a central object and, occasionally, from the background. It's best to avoid overly complex motion or obscure objects.
• Simplicity in Motion: Stick to motions that svd can handle well without the controlnet. This ensures it will be able to apply the motion.

Acknowledgements

• Diffusers Team: For the svd implementation.
• Pixeli99: For providing a practical svd training script: SVD_Xtend