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:
- 63ef3b65902299a1de70f90a3dac2c406b339f93e40a3078bc136c1a5caa439f
- Size of remote file:
- 1.22 GB
- SHA256:
- df26cb90afe3635ffffc128d038ceba9d0c72986d516d28940ef8260a0b6a0ce
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