Instructions to use QFun/checkpoint_Sign_resume with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use QFun/checkpoint_Sign_resume with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("QFun/checkpoint_Sign_resume") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- a8b7a1693c20b253bd6baab7335fb582c1fa6e3690e189b43315307ca81e9ff3
- Size of remote file:
- 10 GB
- SHA256:
- 318ad1239930cd6c480b818cbd0adb407d725f0e89f5ec072e622e70de421d91
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