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-9500/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-9500/controlnet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://helenlu/model/checkpoint-9500/controlnet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/helenlu/model/resolve/main/checkpoint-9500/controlnet/diffusion_pytorch_model.bin
1.45 GB
- Xet hash:
- de28ffb6b934a6442b5227138b0f3a7dd5d6e79175b41b9a39c216e0edacd475
- Size of remote file:
- 1.45 GB
- SHA256:
- 40a035fc079675c5d6ac2ded501c50a2a93af0acff6ccb23b3be23e055095246
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