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
- Xet hash:
- 09a82562a0a00b4cac824e044711e0e70a31d851e4f2745ba3991167591d0537
- Size of remote file:
- 1.45 GB
- SHA256:
- 2e6303ebb21e9f9d041e4cfe9a1441052bce3588f8e4830691d6b9f712a58a87
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.