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
Extension using alternative method
#8
by Nekochu - opened
in https://youtu.be/kmT-z2lqEPQ it show off
-https://xanthius.itch.io/multi-frame-rendering-for-stablediffusion (https://gist.github.com/FurkanGozukara/69fa841e155e821c48a6d4643686f2fb)
-https://github.com/AbyszOne/Abysz-LAB-Ext
this are alternatives could help getting better results.
oooooh
I was looking for someone who did something similar, but I didn't see anything on the topic of multiframe rendering, it's good that I'm thinking in the right place, it's a pity that I'm not going into programming :D
still not interfaced with Automatic 1111, correct me if I'm wrong
Interesting, looks like a novel method.