Instructions to use CiaraRowles/TemporalNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CiaraRowles/TemporalNet with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("CiaraRowles/TemporalNet") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
Commit History
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Add diffusers weights (#13)
- add diffusers weights (777df19242878af168a865881e76b97efd683736) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>d47bd9b
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Add more tags! (#5)
- Add more tags! (b25c5e6688f4a22bc5ed850cbe4dd5c5592b1dea) Co-authored-by: Apolinário from multimodal AI art <multimodalart@users.noreply.huggingface.co>50e4b80
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Add diff version (#3)
- Add diff version (b5b1781a72a64b7d5523c7469bfb0cee2d7b5a37) - Updated temporalvideo.py to work with the dif checkpoint. (798a8f196ff6b1c8b2f2714b048c60144a106af8) - Upload temporalvideo.py (bdb6dee17e803acce7979efb2d7a56946e23b44a) Co-authored-by: OedoSoldier <OedoSoldier@users.noreply.huggingface.co>14cfc3d -
Fixed temporalvideo.py
had the hed and temporal video image inputs the wrong way around, oops.84a499e -
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Readme
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Initial Files
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initial commit
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