Instructions to use CiaraRowles/TemporalNet2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CiaraRowles/TemporalNet2 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("CiaraRowles/TemporalNet2") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
| license: openrail | |
| tags: | |
| - controlnet | |
| - stable-diffusion | |
| - diffusers | |
| base_model: runwayml/stable-diffusion-v1-5 | |
| Introducing TemporalNet2 | |
| TemporalNet was a ControlNet model designed to enhance the temporal consistency of generated outputs | |
| TemporalNet 2 is an evolution on the concept, where the generated outputs are guided by both the last frame *and* an optical flow map between the frames, improving generation consistency. | |
| This took some modification of the original controlnet code so you'll have to do some extra things. If you just want to run a gradio example or look at the modified controlnet code, | |
| that's here: https://github.com/CiaraStrawberry/TemporalNet Just drop the model from this directory into that model folder and make sure the gradio_temporalnet.py script points at the model. | |
| To use with stable diffusion, you can either use it with TemporalKit by moving to the branch here after following steps 1 and 2: https://github.com/CiaraStrawberry/TemporalKit/tree/TemporalNet , or use it just by accessing the base api through the temporalvideo.py script: | |
| 1) move your controlnet webui install to this branch: https://github.com/CiaraStrawberry/sd-webui-controlnet-TemporalNet-API | |
| 2) Add the model to your models folder in the ControlNet extension in Automatic1111's Web UI. | |
| 3) Check you have: | |
| - A folder 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 | |
| 4) Customize the "temporalvideo.py" script according to your preferences, such as the image resolution, prompt, and control net settings. | |
| 5) Launch Automatic1111's Web UI with the --api setting enabled. | |
| 6) Execute the Python script. | |
| *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.* | |
| Also, I highly recommend you use this in conjunction with the hed model, the settings are already in the script. | |
| ToDo: | |
| Write an Extension for the web ui. | |
| Write a feature that automatically generates an "init.png" image if none is provided. | |
| ̶C̶h̶a̶n̶g̶e̶ ̶t̶h̶e̶ ̶e̶x̶t̶e̶n̶s̶i̶o̶n̶ ̶t̶o̶ ̶.̶s̶a̶f̶e̶t̶e̶n̶s̶o̶r̶s̶ ̶a̶n̶d̶ ̶i̶n̶v̶e̶s̶t̶i̶g̶a̶t̶e̶ ̶c̶o̶m̶p̶r̶e̶s̶s̶i̶o̶n̶.̶ | |