Instructions to use killah-t-cell/boxes_cn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use killah-t-cell/boxes_cn with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("killah-t-cell/boxes_cn") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e84874fadf526b13d76574dde0c99a35d69de6d1960ff1d37b8b54bd4ca7d4b5
- Size of remote file:
- 1.46 GB
- SHA256:
- 6cafff2c2b43d48134e1b740a56061e84b6cdb35a3652cec6caebaa6b5cada01
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