Instructions to use Pbihao/ControlNeXt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Pbihao/ControlNeXt with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Pbihao/ControlNeXt") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Link models to paper page, add metadata tags
Hi,
Niels here from the open-source team at HF. It's great to see you're releasing models on HF!
I found it from the paper page: https://huggingface.co/papers/2408.06070 (feel free to claim the paper so that it appears at your HF profile).
It would be great to add a model card explaining what the model does, as well as adding relevant metadata tags. This PR adds some + makes sure it is linked to the paper page.
To make download stats work, we actually recommend pushing model checkpoints to individual model repos, with safetensors weights at the root of the repo (cc @multimodalart ). See https://huggingface.co/docs/hub/models-download-stats for detalis.
Cheers!
Niels
Thank you for your kind reminder! We'll take care of the necessary tasks as soon as possible.