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license: unknown |
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# Stable Video Diffusion Temporal Controlnet |
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## Overview |
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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. |
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## Setup |
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- **Controlnet Model:** First, obtain a svd temporal controlnet model folder from this repo and use it with the github inference code here: https://github.com/CiaraStrawberry/sdv_controlnet |
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- **Installation:** run `pip install -r requirements.txt` |
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- **Execution:** Run "run_inference.py". |
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## Demo |
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## Notes |
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- **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. |
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- **Simplicity in Motion:** Stick to motions that svd can handle well without the controlnet. This ensures it will be able to apply the motion. |
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## Acknowledgements |
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- **Diffusers Team:** For the svd implementation. |
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- **Pixeli99:** For providing a practical svd training script: [SVD_Xtend](https://github.com/pixeli99/SVD_Xtend) |
