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
Download checkpoint-20/optimizer.bin from killah-t-cell/boxes_cn: direct link, hf CLI and curl.
- Browser
- Download file 2.91 GB
-
https://huggingface.co/killah-t-cell/boxes_cn/resolve/main/checkpoint-20/optimizer.bin
- Command line
-
hf download hf://killah-t-cell/boxes_cn/checkpoint-20/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/killah-t-cell/boxes_cn/resolve/main/checkpoint-20/optimizer.bin
2.91 GB
- Xet hash:
- 4d32a9137cb23a78aa4aaca8ae7a6ff1bd6dc8f1d8dece91c8b780f35f5e0598
- Size of remote file:
- 2.91 GB
- SHA256:
- f7de0bbcb219f343eecf5862e8bd388760273028829d94cb82b9d3edf1cd72d3
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