Instructions to use Kornberg/controlnet_landsat_binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kornberg/controlnet_landsat_binary with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Kornberg/controlnet_landsat_binary") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1307a6e957f3ce6967d8a8546323d313036dfe7c8ac8b90a2a53b81f56df5369
- Size of remote file:
- 2.91 GB
- SHA256:
- 28463127c157920e3a67f8f50c487e3106a4a7330dd1a83a283c83312f1abc02
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.