Instructions to use Sanjay07/model_out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sanjay07/model_out with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Sanjay07/model_out") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6b55122c80baa1687a54cc6a868bcb23ca4f1e43ac1fbf8d4df9ca9b41b0f7ce
- Size of remote file:
- 725 MB
- SHA256:
- 4f72682d5685ed49b89b7ce30eeebeac06187d1d313c97b2b1068b7dedafb868
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.