Instructions to use TheDenk/cogvideox-5b-controlnet-canny-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheDenk/cogvideox-5b-controlnet-canny-v1 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("TheDenk/cogvideox-5b-controlnet-canny-v1") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
File size: 1,669 Bytes
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license: apache-2.0
language:
- en
tags:
- cogvideox
- video-generation
- video-to-video
- controlnet
- diffusers
---
# CogvideoX-5b Controlnet Extention
<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/63fde49f6315a264aba6a7ed/MJuyaL8Kow8SOjuwRqP2H.mp4"></video>
### 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 "canny" \
--base_model_path THUDM/CogVideoX-5b \
--controlnet_model_path TheDenk/cogvideox-5b-controlnet-canny-v1
```
#### Inference with Gradio
```bash
python -m inference.gradio_web_demo \
--controlnet_type "canny" \
--base_model_path THUDM/CogVideoX-5b \
--controlnet_model_path TheDenk/cogvideox-5b-controlnet-canny-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>welcomedenk@gmail.com</a>.</p> |