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End of training

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  1. README.md +5 -6
  2. checkpoint-10/optimizer.bin +3 -0
  3. checkpoint-10/pytorch_lora_weights.bin +3 -0
  4. checkpoint-10/random_states_0.pkl +3 -0
  5. checkpoint-10/scaler.pt +3 -0
  6. checkpoint-10/scheduler.bin +3 -0
  7. checkpoint-100/optimizer.bin +3 -0
  8. checkpoint-100/pytorch_lora_weights.bin +3 -0
  9. checkpoint-100/random_states_0.pkl +3 -0
  10. checkpoint-100/scaler.pt +3 -0
  11. checkpoint-100/scheduler.bin +3 -0
  12. checkpoint-110/optimizer.bin +3 -0
  13. checkpoint-110/pytorch_lora_weights.bin +3 -0
  14. checkpoint-110/random_states_0.pkl +3 -0
  15. checkpoint-110/scaler.pt +3 -0
  16. checkpoint-110/scheduler.bin +3 -0
  17. checkpoint-120/optimizer.bin +3 -0
  18. checkpoint-120/pytorch_lora_weights.bin +3 -0
  19. checkpoint-120/random_states_0.pkl +3 -0
  20. checkpoint-120/scaler.pt +3 -0
  21. checkpoint-120/scheduler.bin +3 -0
  22. checkpoint-130/optimizer.bin +3 -0
  23. checkpoint-130/pytorch_lora_weights.bin +3 -0
  24. checkpoint-130/random_states_0.pkl +3 -0
  25. checkpoint-130/scaler.pt +3 -0
  26. checkpoint-130/scheduler.bin +3 -0
  27. checkpoint-140/optimizer.bin +3 -0
  28. checkpoint-140/pytorch_lora_weights.bin +3 -0
  29. checkpoint-140/random_states_0.pkl +3 -0
  30. checkpoint-140/scaler.pt +3 -0
  31. checkpoint-140/scheduler.bin +3 -0
  32. checkpoint-150/optimizer.bin +3 -0
  33. checkpoint-150/pytorch_lora_weights.bin +3 -0
  34. checkpoint-150/random_states_0.pkl +3 -0
  35. checkpoint-150/scaler.pt +3 -0
  36. checkpoint-150/scheduler.bin +3 -0
  37. checkpoint-160/optimizer.bin +3 -0
  38. checkpoint-160/pytorch_lora_weights.bin +3 -0
  39. checkpoint-160/random_states_0.pkl +3 -0
  40. checkpoint-160/scaler.pt +3 -0
  41. checkpoint-160/scheduler.bin +3 -0
  42. checkpoint-170/optimizer.bin +3 -0
  43. checkpoint-170/pytorch_lora_weights.bin +3 -0
  44. checkpoint-170/random_states_0.pkl +3 -0
  45. checkpoint-170/scaler.pt +3 -0
  46. checkpoint-170/scheduler.bin +3 -0
  47. checkpoint-180/optimizer.bin +3 -0
  48. checkpoint-180/pytorch_lora_weights.bin +3 -0
  49. checkpoint-180/random_states_0.pkl +3 -0
  50. checkpoint-180/scaler.pt +3 -0
README.md CHANGED
@@ -1,22 +1,21 @@
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  ---
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  license: creativeml-openrail-m
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- base_model: CompVis/stable-diffusion-v1-4
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  instance_prompt: a photo of sks dog
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  tags:
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  - stable-diffusion
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  - stable-diffusion-diffusers
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  - text-to-image
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  - diffusers
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- - dreambooth
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  inference: true
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  ---
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- # DreamBooth - patrickvonplaten/dog-example-demo
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- This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks dog using [DreamBooth](https://dreambooth.github.io/).
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- You can find some example images in the following.
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- DreamBooth for the text encoder was enabled: False.
 
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  ---
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  license: creativeml-openrail-m
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+ base_model: hf-internal-testing/tiny-stable-diffusion-pipe
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  instance_prompt: a photo of sks dog
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  tags:
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  - stable-diffusion
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  - stable-diffusion-diffusers
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  - text-to-image
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  - diffusers
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+ - lora
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  inference: true
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  ---
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+ # LoRA DreamBooth - patrickvonplaten/dog-example-demo
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+ These are LoRA adaption weights for hf-internal-testing/tiny-stable-diffusion-pipe. The weights were trained on a photo of sks dog using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
 
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+ LoRA for the text encoder was enabled: True.
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