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End of training

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  1. README.md +25 -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
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  23. checkpoint-1400/pytorch_lora_weights.safetensors +3 -0
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  26. checkpoint-1500/optimizer.bin +3 -0
  27. checkpoint-1500/pytorch_lora_weights.safetensors +3 -0
  28. checkpoint-1500/random_states_0.pkl +3 -0
  29. checkpoint-1500/scheduler.bin +3 -0
  30. checkpoint-1600/optimizer.bin +3 -0
  31. checkpoint-1600/pytorch_lora_weights.safetensors +3 -0
  32. checkpoint-1600/random_states_0.pkl +3 -0
  33. checkpoint-1600/scheduler.bin +3 -0
  34. checkpoint-1700/optimizer.bin +3 -0
  35. checkpoint-1700/pytorch_lora_weights.safetensors +3 -0
  36. checkpoint-1700/random_states_0.pkl +3 -0
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  38. checkpoint-1800/optimizer.bin +3 -0
  39. checkpoint-1800/pytorch_lora_weights.safetensors +3 -0
  40. checkpoint-1800/random_states_0.pkl +3 -0
  41. checkpoint-1800/scheduler.bin +3 -0
  42. checkpoint-1900/optimizer.bin +3 -0
  43. checkpoint-1900/pytorch_lora_weights.safetensors +3 -0
  44. checkpoint-1900/random_states_0.pkl +3 -0
  45. checkpoint-1900/scheduler.bin +3 -0
  46. checkpoint-200/optimizer.bin +3 -0
  47. checkpoint-200/pytorch_lora_weights.safetensors +3 -0
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  50. checkpoint-2000/optimizer.bin +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: stabilityai/stable-diffusion-2-1-base
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+ instance_prompt: photo of Luffytaro, a man with a straw hat
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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 - nakkati/loss_l1
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+
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+ These are LoRA adaption weights for stabilityai/stable-diffusion-2-1-base. The weights were trained on photo of Luffytaro, a man with a straw hat 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: False.
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