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--- |
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license: apache-2.0 |
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language: |
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- en |
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tags: |
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- cogvideox |
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- video-generation |
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- video-to-video |
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- controlnet |
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- diffusers |
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--- |
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# CogvideoX-5b Controlnet Extention |
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<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/63fde49f6315a264aba6a7ed/frns--XYMiWf0mBUI0UMK.mp4"></video> |
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### (Warning) This is raw version of controlnet. Better version will be published soon. |
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### How to |
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Clone repo |
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```bash |
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git clone https://github.com/TheDenk/cogvideox-controlnet.git |
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cd cogvideox-controlnet |
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``` |
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Create venv |
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```bash |
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python -m venv venv |
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source venv/bin/activate |
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``` |
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Install requirements |
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```bash |
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pip install -r requirements.txt |
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``` |
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### Inference examples |
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#### Inference with cli |
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```bash |
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python -m inference.cli_demo \ |
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--video_path "resources/car.mp4" \ |
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--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." \ |
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--controlnet_type "hed" \ |
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--base_model_path THUDM/CogVideoX-5b \ |
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--controlnet_model_path TheDenk/cogvideox-5b-controlnet-hed-v1 |
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``` |
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#### Inference with Gradio |
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```bash |
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python -m inference.gradio_web_demo \ |
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--controlnet_type "hed" \ |
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--base_model_path THUDM/CogVideoX-5b \ |
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--controlnet_model_path TheDenk/cogvideox-5b-controlnet-hed-v1 |
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``` |
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## Acknowledgements |
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Original code and models [CogVideoX](https://github.com/THUDM/CogVideo/tree/main). |
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## Contacts |
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<p>Issues should be raised directly in the repository. For professional support and recommendations please <a>welcomedenk@gmail.com</a>.</p> |