README.md

---
license: creativeml-openrail-m
base_model: stabilityai/stable-diffusion-2-1-base
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- controlnet
inference: true
---
    
# controlnet-Kornberg/controlnet_landsat_scheduler
Source Repository: https://github.com/JKornberg/controlnet_landsat

Source dataset: https://huggingface.co/datasets/Kornberg/landsat_captions

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
![images_0)](./images_0.png)
prompt: A satellite image of the earth. The weather is cloudy and cold
![images_1)](./images_1.png)
prompt: A satellite image of the earth. The weather is slightly cloudy and very snowy
![images_2)](./images_2.png)
prompt: A satellite image of the earth. The weather is clear
![images_3)](./images_3.png)
prompt: A satellite image of the earth. The weather is slightly cloudy and cold
![images_4)](./images_4.png)
prompt: A satellite image of the earth. The weather is very cloudy and very snowy
![images_5)](./images_5.png)