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
| 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> |