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 Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 3e8bdbddbdf135d85378167487b3da334acd59613e524feb7bcb830c06a1c5ce
- Size of remote file:
- 1.13 MB
- SHA256:
- 351b16ea2d3d2bd1ac615888812cb7e700c3443eea3bd696410ce2da6e7d5b4c
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