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Diffusers
stable-diffusion
stable-diffusion-diffusers
lora
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End of training

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  1. README.md +23 -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
  5. checkpoint-100/random_states_0.pkl +3 -0
  6. checkpoint-100/scaler.pt +3 -0
  7. checkpoint-100/scheduler.bin +3 -0
  8. checkpoint-1000/custom_checkpoint_0.pkl +3 -0
  9. checkpoint-1000/optimizer.bin +3 -0
  10. checkpoint-1000/pytorch_model.bin +3 -0
  11. checkpoint-1000/random_states_0.pkl +3 -0
  12. checkpoint-1000/scaler.pt +3 -0
  13. checkpoint-1000/scheduler.bin +3 -0
  14. checkpoint-1100/custom_checkpoint_0.pkl +3 -0
  15. checkpoint-1100/optimizer.bin +3 -0
  16. checkpoint-1100/pytorch_model.bin +3 -0
  17. checkpoint-1100/random_states_0.pkl +3 -0
  18. checkpoint-1100/scaler.pt +3 -0
  19. checkpoint-1100/scheduler.bin +3 -0
  20. checkpoint-1200/custom_checkpoint_0.pkl +3 -0
  21. checkpoint-1200/optimizer.bin +3 -0
  22. checkpoint-1200/pytorch_model.bin +3 -0
  23. checkpoint-1200/random_states_0.pkl +3 -0
  24. checkpoint-1200/scaler.pt +3 -0
  25. checkpoint-1200/scheduler.bin +3 -0
  26. checkpoint-200/custom_checkpoint_0.pkl +3 -0
  27. checkpoint-200/optimizer.bin +3 -0
  28. checkpoint-200/pytorch_model.bin +3 -0
  29. checkpoint-200/random_states_0.pkl +3 -0
  30. checkpoint-200/scaler.pt +3 -0
  31. checkpoint-200/scheduler.bin +3 -0
  32. checkpoint-300/custom_checkpoint_0.pkl +3 -0
  33. checkpoint-300/optimizer.bin +3 -0
  34. checkpoint-300/pytorch_model.bin +3 -0
  35. checkpoint-300/random_states_0.pkl +3 -0
  36. checkpoint-300/scaler.pt +3 -0
  37. checkpoint-300/scheduler.bin +3 -0
  38. checkpoint-400/custom_checkpoint_0.pkl +3 -0
  39. checkpoint-400/optimizer.bin +3 -0
  40. checkpoint-400/pytorch_model.bin +3 -0
  41. checkpoint-400/random_states_0.pkl +3 -0
  42. checkpoint-400/scaler.pt +3 -0
  43. checkpoint-400/scheduler.bin +3 -0
  44. checkpoint-500/custom_checkpoint_0.pkl +3 -0
  45. checkpoint-500/optimizer.bin +3 -0
  46. checkpoint-500/pytorch_model.bin +3 -0
  47. checkpoint-500/random_states_0.pkl +3 -0
  48. checkpoint-500/scaler.pt +3 -0
  49. checkpoint-500/scheduler.bin +3 -0
  50. checkpoint-600/custom_checkpoint_0.pkl +3 -0
README.md ADDED
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+
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+ ---
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+ license: creativeml-openrail-m
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+ base_model: runwayml/stable-diffusion-v1-5
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+ instance_prompt: a photo of cat
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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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+
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+ # LoRA DreamBooth - iskandre/output
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+
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+ These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of cat using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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+
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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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+
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