Image-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
controlnet
remote-sensing
openstreetmap
Instructions to use BiliSakura/controlearth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/controlearth with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("BiliSakura/controlearth") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b3de804c1977a281d33dc485ec229bfc34f53ad1bccec8c4f8b7d905f704126
- Size of remote file:
- 1.45 GB
- SHA256:
- a0bb55bcbb4dc2e279a0b0c61051e992769acb3748874efd389c5da1a41cabda
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.