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
- Draw Things
- DiffusionBee
- Xet hash:
- 7efec064358b19ce9dc3ab3d2eef3c384ca1599730fb0b83644e4a7c0b3aa1cc
- Size of remote file:
- 1.46 GB
- SHA256:
- ac644575fc6dbf001f3d9836209ae77145040cbb9d54cbb8a932c17d635b3898
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