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End of training

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  1. README.md +47 -0
  2. checkpoint-100/optimizer.bin +3 -0
  3. checkpoint-100/pytorch_lora_weights.safetensors +3 -0
  4. checkpoint-100/random_states_0.pkl +3 -0
  5. checkpoint-100/scheduler.bin +3 -0
  6. checkpoint-1000/optimizer.bin +3 -0
  7. checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
  8. checkpoint-1000/random_states_0.pkl +3 -0
  9. checkpoint-1000/scheduler.bin +3 -0
  10. checkpoint-200/optimizer.bin +3 -0
  11. checkpoint-200/pytorch_lora_weights.safetensors +3 -0
  12. checkpoint-200/random_states_0.pkl +3 -0
  13. checkpoint-200/scheduler.bin +3 -0
  14. checkpoint-300/optimizer.bin +3 -0
  15. checkpoint-300/pytorch_lora_weights.safetensors +3 -0
  16. checkpoint-300/random_states_0.pkl +3 -0
  17. checkpoint-300/scheduler.bin +3 -0
  18. checkpoint-400/optimizer.bin +3 -0
  19. checkpoint-400/pytorch_lora_weights.safetensors +3 -0
  20. checkpoint-400/random_states_0.pkl +3 -0
  21. checkpoint-400/scheduler.bin +3 -0
  22. checkpoint-500/optimizer.bin +3 -0
  23. checkpoint-500/pytorch_lora_weights.safetensors +3 -0
  24. checkpoint-500/random_states_0.pkl +3 -0
  25. checkpoint-500/scheduler.bin +3 -0
  26. checkpoint-600/optimizer.bin +3 -0
  27. checkpoint-600/pytorch_lora_weights.safetensors +3 -0
  28. checkpoint-600/random_states_0.pkl +3 -0
  29. checkpoint-600/scheduler.bin +3 -0
  30. checkpoint-700/optimizer.bin +3 -0
  31. checkpoint-700/pytorch_lora_weights.safetensors +3 -0
  32. checkpoint-700/random_states_0.pkl +3 -0
  33. checkpoint-700/scheduler.bin +3 -0
  34. checkpoint-800/optimizer.bin +3 -0
  35. checkpoint-800/pytorch_lora_weights.safetensors +3 -0
  36. checkpoint-800/random_states_0.pkl +3 -0
  37. checkpoint-800/scheduler.bin +3 -0
  38. checkpoint-900/optimizer.bin +3 -0
  39. checkpoint-900/pytorch_lora_weights.safetensors +3 -0
  40. checkpoint-900/random_states_0.pkl +3 -0
  41. checkpoint-900/scheduler.bin +3 -0
  42. image_0.png +0 -0
  43. image_1.png +0 -0
  44. image_2.png +0 -0
  45. image_3.png +0 -0
  46. logs/dreambooth-lora/1731303055.7215307/events.out.tfevents.1731303055.9cff2be28114.5557.1 +3 -0
  47. logs/dreambooth-lora/1731303055.7232497/hparams.yml +56 -0
  48. logs/dreambooth-lora/events.out.tfevents.1731303055.9cff2be28114.5557.0 +3 -0
  49. pytorch_lora_weights.safetensors +3 -0
README.md ADDED
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+ ---
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+ base_model: kyujinpy/KO-anything-v4-5
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+ library_name: diffusers
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+ license: creativeml-openrail-m
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+ tags:
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+ - text-to-image
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+ - diffusers
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+ - lora
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+ - diffusers-training
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+ - stable-diffusion
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+ - stable-diffusion-diffusers
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+ inference: true
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+ instance_prompt: 배불러
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the training script had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+
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+ # LoRA DreamBooth - KHongJae/LoRA_Any_0to1000
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+
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+ These are LoRA adaption weights for kyujinpy/KO-anything-v4-5. The weights were trained on 배불러 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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+
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+ LoRA for the text encoder was enabled: True.
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+
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+
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+ ## Intended uses & limitations
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+
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+ #### How to use
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+
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+ ```python
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+ # TODO: add an example code snippet for running this diffusion pipeline
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+ ```
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+
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+ #### Limitations and bias
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+
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+ [TODO: provide examples of latent issues and potential remediations]
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+
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+ ## Training details
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+
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+ [TODO: describe the data used to train the model]
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+ adam_beta1: 0.9
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+ learning_rate: 1.0e-06
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+ output_dir: LoRA_Any_0to1000
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