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
- Xet hash:
- ed60eef2febab34f0be1c99182ad2f9069ea9f684a09a45f75071f28f6418eea
- Size of remote file:
- 723 MB
- SHA256:
- 3e6289975e7b5398ad6cf0fc60102233c48f1efc0314927f8f230944335ac0a1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.