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| license: openrail |
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| Introducing the Beta Version of TemporalNet |
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| TemporalNet is a ControlNet model designed to enhance the temporal consistency of generated outputs, as demonstrated in this example: https://twitter.com/CiaraRowles1/status/1637486561917906944. While it does not eliminate all flickering, it significantly reduces it, particularly at higher denoise levels. For optimal results, it is recommended to use TemporalNet in combination with other methods. |
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| Instructions for Use: |
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| 1) Add the model to your models folder in the ControlNet extension in Automatic1111's Web UI. |
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| 2) Create a folder that contains: |
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| - A subfolder named "Input_Images" with the input frames |
| - A PNG file called "init.png" that is pre-stylized in your desired style |
| - The "temporalvideo.py" script |
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| 3) Customize the "temporalvideo.py" script according to your preferences, such as the image resolution, prompt, and control net settings. |
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| 4) Launch Automatic1111's Web UI with the --api setting enabled. |
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| 5) Execute the Python script. |
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| *Please note that the "init.png" image will not significantly influence the style of the output video. Its primary purpose is to prevent a drastic change in aesthetics during the first few frames.* |
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| Also, I highly recommend you use this in conjunction with the hed model, the settings are already in the script. |
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| ToDo: |
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| Write an Extension for the web ui. |
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| Write a feature that automatically generates an "init.png" image if none is provided. |
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| Change the extension to .safetensors and investigate compression. |
