Text-to-Image
Diffusers
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
diffusers-training
Instructions to use olduvai-jp/controlnet_xl_line_art with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use olduvai-jp/controlnet_xl_line_art with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("olduvai-jp/controlnet_xl_line_art") pipe = StableDiffusionControlNetPipeline.from_pretrained( "cagliostrolab/animagine-xl-3.1", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6a118a3ea447e935e17e9fc5f58d815d29767146a33dc7d00e406a06e7dad1b4
- Size of remote file:
- 5 GB
- SHA256:
- 3cd942b812340f2d07333e8f0171d0adb87cad2d4d8bec7c3b83c93925897116
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.