Instructions to use QFun/checkpoint_Sign_256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use QFun/checkpoint_Sign_256 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("QFun/checkpoint_Sign_256") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download diffusion_pytorch_model.safetensors from QFun/checkpoint_Sign_256: direct link, hf CLI and curl.
- Browser
- Download file 5 GB
-
https://huggingface.co/QFun/checkpoint_Sign_256/resolve/main/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://QFun/checkpoint_Sign_256/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/QFun/checkpoint_Sign_256/resolve/main/diffusion_pytorch_model.safetensors
5 GB
- Xet hash:
- 82242feb1ddf4f90da58d91e300d3b417fb8e5fee4c55d70e207696844619135
- Size of remote file:
- 5 GB
- SHA256:
- f548ef6e35125ae3080bd093c235d0d999467e13295b00638a188463899ce84b
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