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-6000/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-6000/optimizer.bin
- Command line
-
hf download hf://killah-t-cell/boxes_cn/checkpoint-6000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/killah-t-cell/boxes_cn/resolve/main/checkpoint-6000/optimizer.bin
2.91 GB
- Xet hash:
- 5b5589bb4237161c4493d76bd1deddc9fba126efdde19fa5e6ec0ffb2748275b
- Size of remote file:
- 2.91 GB
- SHA256:
- 4847c704d2250b6c4e7aae8abde414846163f1ec4fbf63d73827bef9741ef84a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.