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-10500/optimizer.bin from helenlu/model: direct link, hf CLI and curl.
- Browser
- Download file 725 MB
-
https://huggingface.co/helenlu/model/resolve/main/checkpoint-10500/optimizer.bin
- Command line
-
hf download hf://helenlu/model/checkpoint-10500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/helenlu/model/resolve/main/checkpoint-10500/optimizer.bin
725 MB
- Xet hash:
- db15848812d35ed84acaa9138122cba1e82c2c524e4ebf21f755f9db6e7acd16
- Size of remote file:
- 725 MB
- SHA256:
- 0e04b364cf292b90b42bff32211aead60698769019680486ff4bbedda1533c95
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.