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controlnet_landsat_old

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Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
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End of training

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Files changed (19) hide show
  1. README.md +9 -3
  2. checkpoint-10000/controlnet/diffusion_pytorch_model.safetensors +1 -1
  3. checkpoint-10000/optimizer.bin +1 -1
  4. checkpoint-10000/random_states_0.pkl +1 -1
  5. checkpoint-15000/controlnet/diffusion_pytorch_model.safetensors +1 -1
  6. checkpoint-15000/optimizer.bin +1 -1
  7. checkpoint-15000/random_states_0.pkl +2 -2
  8. checkpoint-15000/scheduler.bin +1 -1
  9. checkpoint-5000/controlnet/diffusion_pytorch_model.safetensors +1 -1
  10. checkpoint-5000/optimizer.bin +1 -1
  11. checkpoint-5000/random_states_0.pkl +1 -1
  12. diffusion_pytorch_model.safetensors +1 -1
  13. image_control.png +0 -0
  14. images_0.png +0 -0
  15. images_1.png +0 -0
  16. images_2.png +0 -0
  17. images_3.png +0 -0
  18. images_4.png +0 -0
  19. images_5.png +0 -0
README.md CHANGED
@@ -15,10 +15,16 @@ inference: true
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  These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.
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  You can find some example images below.
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- prompt: Image of earth from a satellite
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  ![images_0)](./images_0.png)
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- prompt: Image of earth from a satellite
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  ![images_1)](./images_1.png)
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- prompt: Image of earth from a satellite
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  ![images_2)](./images_2.png)
 
 
 
 
 
 
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  These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.
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  You can find some example images below.
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+ prompt: A satellite image of the earth. The weather is clear
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  ![images_0)](./images_0.png)
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+ prompt: A satellite image of the earth. The weather is cloudy and cold
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  ![images_1)](./images_1.png)
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+ prompt: A satellite image of the earth. The weather is slightly cloudy and very snowy
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  ![images_2)](./images_2.png)
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+ prompt: A satellite image of the earth. The weather is clear
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+ ![images_3)](./images_3.png)
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+ prompt: A satellite image of the earth. The weather is slightly cloudy and cold
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+ ![images_4)](./images_4.png)
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+ prompt: A satellite image of the earth. The weather is very cloudy and very snowy
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+ ![images_5)](./images_5.png)
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