Instructions to use Eugeoter/noob-sdxl-controlnet-lineart_realistic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Eugeoter/noob-sdxl-controlnet-lineart_realistic with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Eugeoter/noob-sdxl-controlnet-lineart_realistic") pipe = StableDiffusionControlNetPipeline.from_pretrained( "Laxhar/sdxl_noob", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b5f1caf6c6d6bc20979a7cb1ca0e75acacda7a255442ff689ac9239ccd26b3df
- Size of remote file:
- 5 GB
- SHA256:
- c80ad372a374098d4f0ddc2aaf8bea7e790cb691086d882bb97091ed5da64bba
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.