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  1. README.md +47 -0
  2. checkpoint-1000/optimizer.bin +3 -0
  3. checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
  4. checkpoint-1000/random_states_0.pkl +3 -0
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  10. checkpoint-2000/optimizer.bin +3 -0
  11. checkpoint-2000/pytorch_lora_weights.safetensors +3 -0
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  14. checkpoint-3000/optimizer.bin +3 -0
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  18. checkpoint-4000/optimizer.bin +3 -0
  19. checkpoint-4000/pytorch_lora_weights.safetensors +3 -0
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  22. checkpoint-5000/optimizer.bin +3 -0
  23. checkpoint-5000/pytorch_lora_weights.safetensors +3 -0
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  26. checkpoint-6000/optimizer.bin +3 -0
  27. checkpoint-6000/pytorch_lora_weights.safetensors +3 -0
  28. checkpoint-6000/random_states_0.pkl +3 -0
  29. checkpoint-6000/scheduler.bin +3 -0
  30. checkpoint-7000/optimizer.bin +3 -0
  31. checkpoint-7000/pytorch_lora_weights.safetensors +3 -0
  32. checkpoint-7000/random_states_0.pkl +3 -0
  33. checkpoint-7000/scheduler.bin +3 -0
  34. checkpoint-8000/optimizer.bin +3 -0
  35. checkpoint-8000/pytorch_lora_weights.safetensors +3 -0
  36. checkpoint-8000/random_states_0.pkl +3 -0
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  38. checkpoint-9000/optimizer.bin +3 -0
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  40. checkpoint-9000/random_states_0.pkl +3 -0
  41. checkpoint-9000/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/1731305322.3381057/events.out.tfevents.1731305322.cc484bb63e18.4362.1 +3 -0
  47. logs/dreambooth-lora/1731305322.3398542/hparams.yml +56 -0
  48. logs/dreambooth-lora/events.out.tfevents.1731305322.cc484bb63e18.4362.0 +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/before_txtrmANDimgcap_LoRA_Any_0to10000
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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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+ adam_beta2: 0.999
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+ instance_prompt: "\uBC30\uBD88\uB7EC"
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