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:
- cb75a52b659b12b935442ec0d1d6872882b7ab4b867ca3e18c3a185ed76e76a3
- Size of remote file:
- 2.91 GB
- SHA256:
- 549fa7e3ec859049507f9198ab5fefa762d30038f2b4ca8122969fbc3f8e5681
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.