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:
- 5f40c0cf2035700239bd216704c76a1007b0f9372746ff175ca1cef1d0d92efd
- Size of remote file:
- 1.46 GB
- SHA256:
- d54c99bb9ab35ce81cb733503b853b7d60b2675f0a31b027e13375b6cce8fd0e
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