Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
Instructions to use jbeomlee93/controlnet-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jbeomlee93/controlnet-model with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("jbeomlee93/controlnet-model") pipe = StableDiffusionControlNetPipeline.from_pretrained( "diffusers/stable-diffusion-xl-1.0-inpainting-0.1", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7499a7822ddf41b3698958d26c676ffa966f12610278eedbbb1a25da6aec88a8
- Size of remote file:
- 5 GB
- SHA256:
- 70b9e9252f7b5a63f43e9f871e20903e4be05cc28ea040d1856dc159e1231fab
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.