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
Download vae/diffusion_pytorch_model.safetensors from BiliSakura/controlearth: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/BiliSakura/controlearth/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://BiliSakura/controlearth/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/BiliSakura/controlearth/resolve/main/vae/diffusion_pytorch_model.safetensors
335 MB
- Xet hash:
- 49dec6a77cc0d0ec9a7882bfeffd44dada0e64a348103c88b7281e6e9edb9823
- Size of remote file:
- 335 MB
- SHA256:
- a2b5134f4dbc140d9c11f11cba3233099e00af40f262f136c691fb7d38d2194c
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