Instructions to use simonlisss/controlnet_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use simonlisss/controlnet_output with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("simonlisss/controlnet_output") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 9044da91b9dc90b22ef57cbf4459b280eeb8c0940f94d579bfabf78184f760de
- Size of remote file:
- 731 MB
- SHA256:
- ce92c3e3e045b37976c191cd79ca6666a8224b80345d6497b9abf56bed54f353
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