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End of training

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  1. README.md +2 -2
  2. checkpoint-1000/optimizer.bin +3 -0
  3. checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
  4. checkpoint-1000/random_states_0.pkl +3 -0
  5. checkpoint-1000/scaler.pt +3 -0
  6. checkpoint-1000/scheduler.bin +3 -0
  7. checkpoint-1500/optimizer.bin +3 -0
  8. checkpoint-1500/pytorch_lora_weights.safetensors +3 -0
  9. checkpoint-1500/random_states_0.pkl +3 -0
  10. checkpoint-1500/scaler.pt +3 -0
  11. checkpoint-1500/scheduler.bin +3 -0
  12. checkpoint-2000/optimizer.bin +3 -0
  13. checkpoint-2000/pytorch_lora_weights.safetensors +3 -0
  14. checkpoint-2000/random_states_0.pkl +3 -0
  15. checkpoint-2000/scaler.pt +3 -0
  16. checkpoint-2000/scheduler.bin +3 -0
  17. checkpoint-2500/optimizer.bin +3 -0
  18. checkpoint-2500/pytorch_lora_weights.safetensors +3 -0
  19. checkpoint-2500/random_states_0.pkl +3 -0
  20. checkpoint-2500/scaler.pt +3 -0
  21. checkpoint-2500/scheduler.bin +3 -0
  22. checkpoint-3000/optimizer.bin +3 -0
  23. checkpoint-3000/pytorch_lora_weights.safetensors +3 -0
  24. checkpoint-3000/random_states_0.pkl +3 -0
  25. checkpoint-3000/scaler.pt +3 -0
  26. checkpoint-3000/scheduler.bin +3 -0
  27. checkpoint-3500/optimizer.bin +3 -0
  28. checkpoint-3500/pytorch_lora_weights.safetensors +3 -0
  29. checkpoint-3500/random_states_0.pkl +3 -0
  30. checkpoint-3500/scaler.pt +3 -0
  31. checkpoint-3500/scheduler.bin +3 -0
  32. checkpoint-4000/optimizer.bin +3 -0
  33. checkpoint-4000/pytorch_lora_weights.safetensors +3 -0
  34. checkpoint-4000/random_states_0.pkl +3 -0
  35. checkpoint-4000/scaler.pt +3 -0
  36. checkpoint-4000/scheduler.bin +3 -0
  37. checkpoint-4500/optimizer.bin +3 -0
  38. checkpoint-4500/pytorch_lora_weights.safetensors +3 -0
  39. checkpoint-4500/random_states_0.pkl +3 -0
  40. checkpoint-4500/scaler.pt +3 -0
  41. checkpoint-4500/scheduler.bin +3 -0
  42. checkpoint-500/optimizer.bin +2 -2
  43. checkpoint-500/pytorch_lora_weights.safetensors +2 -2
  44. checkpoint-500/random_states_0.pkl +1 -1
  45. checkpoint-5000/optimizer.bin +3 -0
  46. checkpoint-5000/pytorch_lora_weights.safetensors +3 -0
  47. checkpoint-5000/random_states_0.pkl +3 -0
  48. checkpoint-5000/scaler.pt +3 -0
  49. checkpoint-5000/scheduler.bin +3 -0
  50. image_0.png +2 -2
README.md CHANGED
@@ -1,7 +1,7 @@
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  ---
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  license: openrail++
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- base_model: stabilityai/stable-diffusion-xl-base-1.0
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  instance_prompt: a photo of sks dog
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  tags:
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  - stable-diffusion-xl
@@ -14,7 +14,7 @@ inference: true
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  # LoRA DreamBooth - ainjarts/output
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- These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. 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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  ![img_0](./image_0.png)
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  ![img_1](./image_1.png)
 
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  ---
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  license: openrail++
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+ base_model: segmind/SSD-1B
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  instance_prompt: a photo of sks dog
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  tags:
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  - stable-diffusion-xl
 
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  # LoRA DreamBooth - ainjarts/output
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+ These are LoRA adaption weights for segmind/SSD-1B. 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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  ![img_0](./image_0.png)
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  ![img_1](./image_1.png)
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