Instructions to use Kornberg/controlnet_landsat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kornberg/controlnet_landsat with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Kornberg/controlnet_landsat") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
controlnet-Kornberg/controlnet_landsat_scheduler2
These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.
You can find some example images below.
prompt: A satellite image of the earth. The weather is clear
prompt: A satellite image of the earth. The weather is cloudy and cold
prompt: A satellite image of the earth. The weather is slightly cloudy and very snowy
prompt: A satellite image of the earth. The weather is clear
prompt: A satellite image of the earth. The weather is slightly cloudy and cold
prompt: A satellite image of the earth. The weather is very cloudy and very snowy

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Model tree for Kornberg/controlnet_landsat
Base model
stabilityai/stable-diffusion-2-1-base