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  1. README.md +22 -0
  2. checkpoint-100/custom_checkpoint_0.pkl +3 -0
  3. checkpoint-100/optimizer.bin +3 -0
  4. checkpoint-100/pytorch_model.bin +3 -0
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  6. checkpoint-100/scaler.pt +3 -0
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  18. checkpoint-10000/scaler.pt +3 -0
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  20. checkpoint-1100/custom_checkpoint_0.pkl +3 -0
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  22. checkpoint-1100/pytorch_model.bin +3 -0
  23. checkpoint-1100/random_states_0.pkl +3 -0
  24. checkpoint-1100/scaler.pt +3 -0
  25. checkpoint-1100/scheduler.bin +3 -0
  26. checkpoint-1200/custom_checkpoint_0.pkl +3 -0
  27. checkpoint-1200/optimizer.bin +3 -0
  28. checkpoint-1200/pytorch_model.bin +3 -0
  29. checkpoint-1200/random_states_0.pkl +3 -0
  30. checkpoint-1200/scaler.pt +3 -0
  31. checkpoint-1200/scheduler.bin +3 -0
  32. checkpoint-1300/custom_checkpoint_0.pkl +3 -0
  33. checkpoint-1300/optimizer.bin +3 -0
  34. checkpoint-1300/pytorch_model.bin +3 -0
  35. checkpoint-1300/random_states_0.pkl +3 -0
  36. checkpoint-1300/scaler.pt +3 -0
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  41. checkpoint-1400/random_states_0.pkl +3 -0
  42. checkpoint-1400/scaler.pt +3 -0
  43. checkpoint-1400/scheduler.bin +3 -0
  44. checkpoint-1500/custom_checkpoint_0.pkl +3 -0
  45. checkpoint-1500/optimizer.bin +3 -0
  46. checkpoint-1500/pytorch_model.bin +3 -0
  47. checkpoint-1500/random_states_0.pkl +3 -0
  48. checkpoint-1500/scaler.pt +3 -0
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  50. checkpoint-1600/custom_checkpoint_0.pkl +3 -0
README.md ADDED
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+ ---
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+ license: creativeml-openrail-m
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+ base_model: WarriorMama777/AbyssOrangeMix2
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+ instance_prompt: unlight
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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 - unlight
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+
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+ These are LoRA adaption weights for [WarriorMama777/AbyssOrangeMix2](https://huggingface.co/WarriorMama777/AbyssOrangeMix2). The weights were trained on the instance prompt "unlight" using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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+
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+ Test prompt: 1boy, unlight
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+ ![image_0](test_images/image_0.png)
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+ ![image_1](test_images/image_1.png)
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+ ![image_2](test_images/image_2.png)
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+ ![image_3](test_images/image_3.png)
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+
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