Instructions to use BiliSakura/Text2Earth-ControlNet-xBD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/Text2Earth-ControlNet-xBD with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("BiliSakura/Text2Earth-ControlNet-xBD") pipe = StableDiffusionControlNetPipeline.from_pretrained( "lcybuaa/Text2Earth", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download controlnet/diffusion_pytorch_model.safetensors from BiliSakura/Text2Earth-ControlNet-xBD: direct link, hf CLI and curl.
- Browser
- Download file 1.47 GB
-
https://huggingface.co/BiliSakura/Text2Earth-ControlNet-xBD/resolve/main/controlnet/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://BiliSakura/Text2Earth-ControlNet-xBD/controlnet/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/BiliSakura/Text2Earth-ControlNet-xBD/resolve/main/controlnet/diffusion_pytorch_model.safetensors
1.47 GB
- Xet hash:
- 91b6e2169d8e07243971227cb7b2d858ae46a0e340cb3153e4606084cf7788d5
- Size of remote file:
- 1.47 GB
- SHA256:
- 38b83e5bbba46432b2aec5c2f9f8cf7d9f7d294159eabf20b711de8509a4bb52
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