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-11000/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-11000/controlnet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://helenlu/model/checkpoint-11000/controlnet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/helenlu/model/resolve/main/checkpoint-11000/controlnet/diffusion_pytorch_model.bin
1.45 GB
- Xet hash:
- e903720175f80f493c35abaf44b8b2e3361f3820fcf6a73f92944bb1a216cf56
- Size of remote file:
- 1.45 GB
- SHA256:
- ba7bd791c6afcc85661a63cedd116ef1442b4ecfffbaf8fb27729e0d3679dae6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.