README.md

---
license: apache-2.0
language:
- en
tags:
- cogvideox
- video-generation
- video-to-video
- controlnet
- diffusers
pipeline_tag: video-to-video
---

# CogvideoX-5b Controlnet Extention


<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/63fde49f6315a264aba6a7ed/frns--XYMiWf0mBUI0UMK.mp4"></video>

### (Warning) This is raw version of controlnet. Better version will be published soon.

### How to
Clone repo 
```bash
git clone https://github.com/TheDenk/cogvideox-controlnet.git
cd cogvideox-controlnet
```
  
Create venv  
```bash
python -m venv venv
source venv/bin/activate
```
  
Install requirements
```bash
pip install -r requirements.txt
```

### Inference examples
#### Inference with cli
```bash
python -m inference.cli_demo \
    --video_path "resources/car.mp4" \
    --prompt "The camera follows behind red car. Car is surrounded by a panoramic view of the vast, azure ocean. Seagulls soar overhead, and in the distance, a lighthouse stands sentinel, its beam cutting through the twilight. The scene captures a perfect blend of adventure and serenity, with the car symbolizing freedom on the open sea." \
    --controlnet_type "hed" \
    --base_model_path THUDM/CogVideoX-5b \
    --controlnet_model_path TheDenk/cogvideox-5b-controlnet-hed-v1
```

#### Inference with Gradio
```bash
python -m inference.gradio_web_demo \
    --controlnet_type "hed" \
    --base_model_path THUDM/CogVideoX-5b \
    --controlnet_model_path TheDenk/cogvideox-5b-controlnet-hed-v1
```


## Acknowledgements
Original code and models [CogVideoX](https://github.com/THUDM/CogVideo/tree/main).  

## Contacts
<p>Issues should be raised directly in the repository. For professional support and recommendations please <a>[email protected]</a>.</p>