Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
Instructions to use rgres/Seg2Sat-sd-controlnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rgres/Seg2Sat-sd-controlnet with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("rgres/Seg2Sat-sd-controlnet") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 2cda0345e961f8e984f76a37ada1b043c959646f4b8247ef526ed4a167ca5eda
- Size of remote file:
- 1.46 GB
- SHA256:
- d51e132ea8a4d1e5c19f92af37548af7faab70ab2bdc93de45588ad92b83aaea
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