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-10/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-10/optimizer.bin
- Command line
-
hf download hf://killah-t-cell/boxes_cn/checkpoint-10/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/killah-t-cell/boxes_cn/resolve/main/checkpoint-10/optimizer.bin
2.91 GB
- Xet hash:
- a4940febe7d4b073c590c46e3125553dbc45625046234374a0e5219be76c746e
- Size of remote file:
- 2.91 GB
- SHA256:
- 335643b7a3aedfcad0907730e33dcc9dc63ff594e6c3c2196368d5cdf3699f4c
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