Text-to-Image
Diffusers
Safetensors
English
CRSDiffPipeline
remote-sensing
diffusion
controlnet
custom-pipeline
Instructions to use BiliSakura/CRS-Diff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/CRS-Diff with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("BiliSakura/CRS-Diff") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download .gitattributes from BiliSakura/CRS-Diff: direct link, hf CLI and curl.
- Browser
- Download file 135 Bytes
-
https://huggingface.co/BiliSakura/CRS-Diff/resolve/main/.gitattributes
- Command line
-
hf download hf://BiliSakura/CRS-Diff/.gitattributes
-
curl -L -o .gitattributes https://huggingface.co/BiliSakura/CRS-Diff/resolve/main/.gitattributes
135 Bytes
| *.ckpt filter=lfs diff=lfs merge=lfs -text | |
| *.safetensors filter=lfs diff=lfs merge=lfs -text | |
| *.bin filter=lfs diff=lfs merge=lfs -text | |