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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

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lora
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End of training

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  1. 2.0 normal dataset/pytorch_lora_weights_100.safetensors +3 -0
  2. README.md +1 -1
  3. checkpoint-1000/optimizer.bin +2 -2
  4. checkpoint-1000/pytorch_model.bin +2 -2
  5. checkpoint-1000/random_states_0.pkl +2 -2
  6. checkpoint-1000/scaler.pt +2 -2
  7. checkpoint-1000/scheduler.bin +2 -2
  8. checkpoint-10000/optimizer.bin +2 -2
  9. checkpoint-10000/pytorch_model.bin +2 -2
  10. checkpoint-10000/random_states_0.pkl +2 -2
  11. checkpoint-10000/scaler.pt +2 -2
  12. checkpoint-10000/scheduler.bin +2 -2
  13. checkpoint-10500/optimizer.bin +2 -2
  14. checkpoint-10500/pytorch_model.bin +2 -2
  15. checkpoint-10500/random_states_0.pkl +2 -2
  16. checkpoint-10500/scaler.pt +2 -2
  17. checkpoint-10500/scheduler.bin +2 -2
  18. checkpoint-11000/optimizer.bin +2 -2
  19. checkpoint-11000/pytorch_model.bin +2 -2
  20. checkpoint-11000/random_states_0.pkl +2 -2
  21. checkpoint-11000/scaler.pt +2 -2
  22. checkpoint-11000/scheduler.bin +2 -2
  23. checkpoint-11500/optimizer.bin +2 -2
  24. checkpoint-11500/pytorch_model.bin +2 -2
  25. checkpoint-11500/random_states_0.pkl +2 -2
  26. checkpoint-11500/scaler.pt +2 -2
  27. checkpoint-11500/scheduler.bin +2 -2
  28. checkpoint-12000/optimizer.bin +2 -2
  29. checkpoint-12000/pytorch_model.bin +2 -2
  30. checkpoint-12000/random_states_0.pkl +2 -2
  31. checkpoint-12000/scaler.pt +2 -2
  32. checkpoint-12000/scheduler.bin +2 -2
  33. checkpoint-12500/optimizer.bin +2 -2
  34. checkpoint-12500/pytorch_model.bin +2 -2
  35. checkpoint-12500/random_states_0.pkl +2 -2
  36. checkpoint-12500/scaler.pt +2 -2
  37. checkpoint-12500/scheduler.bin +2 -2
  38. checkpoint-13000/optimizer.bin +2 -2
  39. checkpoint-13000/pytorch_model.bin +2 -2
  40. checkpoint-13000/random_states_0.pkl +2 -2
  41. checkpoint-13000/scaler.pt +2 -2
  42. checkpoint-13000/scheduler.bin +2 -2
  43. checkpoint-13500/optimizer.bin +2 -2
  44. checkpoint-13500/pytorch_model.bin +2 -2
  45. checkpoint-13500/random_states_0.pkl +2 -2
  46. checkpoint-13500/scaler.pt +2 -2
  47. checkpoint-13500/scheduler.bin +2 -2
  48. checkpoint-14000/optimizer.bin +2 -2
  49. checkpoint-14000/pytorch_model.bin +2 -2
  50. checkpoint-14000/random_states_0.pkl +2 -2
2.0 normal dataset/pytorch_lora_weights_100.safetensors ADDED
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README.md CHANGED
@@ -12,7 +12,7 @@ inference: true
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  ---
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  # LoRA text2image fine-tuning - satouyuuba/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
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- These are LoRA adaption weights for stablediffusionapi/realistic-vision-v51. The weights were fine-tuned on the ../datasets/kowenje dataset. 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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  # LoRA text2image fine-tuning - satouyuuba/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
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+ These are LoRA adaption weights for stablediffusionapi/realistic-vision-v51. The weights were fine-tuned on the ../datasets/kowenje_ae dataset. 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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