Instructions to use helenlu/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use helenlu/model with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("helenlu/model") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-4000/controlnet/diffusion_pytorch_model.bin from helenlu/model: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/helenlu/model/resolve/main/checkpoint-4000/controlnet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://helenlu/model/checkpoint-4000/controlnet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/helenlu/model/resolve/main/checkpoint-4000/controlnet/diffusion_pytorch_model.bin
1.45 GB
- Xet hash:
- 602f36b66f7842b7b2759958a0721d2b17d92a9d81a9cd7b219dddf5371c6db9
- Size of remote file:
- 1.45 GB
- SHA256:
- 1d0151296da60d56d9dd1a6f375f3b7a9035b69e4824cb6eecd582b5361e3d5b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.