Instructions to use Jenniferkmc/controlnet-model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jenniferkmc/controlnet-model2 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Jenniferkmc/controlnet-model2") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- fa0764356a3700a4b7a5204faf798b36b0b0ac840dc3d75f55807234a7c121aa
- Size of remote file:
- 731 MB
- SHA256:
- 3c46e015808b0e7e377b1db806400658c00a5c40b7b90c00fbe4477b51398577
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