Instructions to use MadhurGarg/ControlNet_Train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MadhurGarg/ControlNet_Train with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("MadhurGarg/ControlNet_Train") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 3512511f7423e26fbeefbd2090fb329ce643028e9a11a5e9c623c5290ecfad29
- Size of remote file:
- 1.03 MB
- SHA256:
- 5c1cb5568cb62a2e14b6aebafc039775b362cc02d4c797187aa090e2b2f6c2f8
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