README.md

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license: unknown
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# 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

![combined_with_square_image_new_gif](https://github.com/CiaraStrawberry/sdv_controlnet/assets/13116982/055c8d3b-074e-4aeb-9ddc-70d12b5504d5)

## 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](https://github.com/pixeli99/SVD_Xtend)