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End of training

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Files changed (21) hide show
  1. 1000/config.json +33 -0
  2. 1000/diffusion_flax_model.msgpack +3 -0
  3. 1500/config.json +33 -0
  4. 1500/diffusion_flax_model.msgpack +3 -0
  5. 2000/config.json +33 -0
  6. 2000/diffusion_flax_model.msgpack +3 -0
  7. 2500/config.json +33 -0
  8. 2500/diffusion_flax_model.msgpack +3 -0
  9. 3000/config.json +33 -0
  10. 3000/diffusion_flax_model.msgpack +3 -0
  11. 3500/config.json +33 -0
  12. 3500/diffusion_flax_model.msgpack +3 -0
  13. 4000/config.json +33 -0
  14. 4000/diffusion_flax_model.msgpack +3 -0
  15. 500/config.json +33 -0
  16. 500/diffusion_flax_model.msgpack +3 -0
  17. README.md +3 -3
  18. diffusion_flax_model.msgpack +1 -1
  19. images_0.png +2 -2
  20. images_1.png +2 -2
  21. images_2.png +2 -2
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README.md CHANGED
@@ -16,10 +16,10 @@ inference: true
16
 
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  These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. You can find some example images in the following.
18
 
19
- prompt: a building with a stone wall and a cliff with light temperature 4500 and light direction NW
20
  ![images_0)](./images_0.png)
21
- prompt: a wooden table in front of a brick building with light temperature 5500 and light direction SE
22
  ![images_1)](./images_1.png)
23
- prompt: a stone tower on a rocky island with light temperature 2500 and light direction SW
24
  ![images_2)](./images_2.png)
25
 
 
16
 
17
  These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. You can find some example images in the following.
18
 
19
+ prompt: a building with a stone wall and a cliff, light temperature 4500, light direction NW
20
  ![images_0)](./images_0.png)
21
+ prompt: a wooden table in front of a brick building, light temperature 5500, light direction SE
22
  ![images_1)](./images_1.png)
23
+ prompt: a stone tower on a rocky island, light temperature 2500, light direction SW
24
  ![images_2)](./images_2.png)
25
 
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