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lora-trained-xl-colab_agsts_cat

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  1. .gitattributes +4 -0
  2. README.md +4 -0
  3. checkpoint-1000/optimizer.bin +3 -0
  4. checkpoint-1000/pytorch_lora_weights.bin +3 -0
  5. checkpoint-1000/random_states_0.pkl +3 -0
  6. checkpoint-1000/scaler.pt +3 -0
  7. checkpoint-1000/scheduler.bin +3 -0
  8. checkpoint-1500/optimizer.bin +3 -0
  9. checkpoint-1500/pytorch_lora_weights.bin +3 -0
  10. checkpoint-1500/random_states_0.pkl +3 -0
  11. checkpoint-1500/scaler.pt +3 -0
  12. checkpoint-1500/scheduler.bin +3 -0
  13. checkpoint-2000/optimizer.bin +3 -0
  14. checkpoint-2000/pytorch_lora_weights.bin +3 -0
  15. checkpoint-2000/random_states_0.pkl +3 -0
  16. checkpoint-2000/scaler.pt +3 -0
  17. checkpoint-2000/scheduler.bin +3 -0
  18. checkpoint-2500/optimizer.bin +3 -0
  19. checkpoint-2500/pytorch_lora_weights.bin +3 -0
  20. checkpoint-2500/random_states_0.pkl +3 -0
  21. checkpoint-2500/scaler.pt +3 -0
  22. checkpoint-2500/scheduler.bin +3 -0
  23. checkpoint-3000/optimizer.bin +3 -0
  24. checkpoint-3000/pytorch_lora_weights.bin +3 -0
  25. checkpoint-3000/random_states_0.pkl +3 -0
  26. checkpoint-3000/scaler.pt +3 -0
  27. checkpoint-3000/scheduler.bin +3 -0
  28. checkpoint-500/optimizer.bin +3 -0
  29. checkpoint-500/pytorch_lora_weights.bin +3 -0
  30. checkpoint-500/random_states_0.pkl +3 -0
  31. checkpoint-500/scaler.pt +3 -0
  32. checkpoint-500/scheduler.bin +3 -0
  33. image_0.png +3 -0
  34. image_1.png +3 -0
  35. image_2.png +3 -0
  36. image_3.png +3 -0
  37. pytorch_lora_weights.bin +1 -1
.gitattributes CHANGED
@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md CHANGED
@@ -16,6 +16,10 @@ inference: true
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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 agsts cat 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: False.
 
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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 agsts cat 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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+ ![img_2](./image_2.png)
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+ ![img_3](./image_3.png)
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  LoRA for the text encoder was enabled: False.
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