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-1500/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-1500/controlnet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://helenlu/model/checkpoint-1500/controlnet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/helenlu/model/resolve/main/checkpoint-1500/controlnet/diffusion_pytorch_model.bin
1.45 GB
- Xet hash:
- 383613a9706c4ade7b95c0a196b98bd18bcb3a506343d3a6ffd794d63a4e6632
- Size of remote file:
- 1.45 GB
- SHA256:
- 1180e7a764a66b8f56adb02b1c63a93880a1b4a6f4fbd4ecff90f131c924f0fc
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