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:
- bebd82817832c80042248f2bc6cdf3e97a3d1539f15f55b31f275e7725f9db40
- Size of remote file:
- 2.91 GB
- SHA256:
- e684e37f37e4f9ae167bc2a40c326365fcbbef342b897a46387ebeb6ea0a5fea
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