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:
- 6da6ac1536225b983ff03bff912d78e7b3a3291e42fbc8ce8c1401a453e072e4
- Size of remote file:
- 1.46 GB
- SHA256:
- e3a4c1a5bbc57d839b21789a6615246da07a8b52faf2d3bdce72b06eeeacc168
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