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:
- 4049107e6a201e373465e803d9c34dc0f88916a749b99a7010a2593728318798
- Size of remote file:
- 1.45 GB
- SHA256:
- 137aefbd70dc22479302579da9fd08d4cb124985a91efe5733b19365444433b9
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