Instructions to use Learner/jax-diffuser-event with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Learner/jax-diffuser-event with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Learner/jax-diffuser-event") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload controlnet as PyTorch weights
#1
by patrickvonplaten - opened
No description provided.
patrickvonplaten changed pull request title from Upload folder using huggingface_hub to Upload controlnet as PyTorch weights
uh amazing, thanks. How did you figure that out? @patrickvonplaten
Learner changed pull request status to merged