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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
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  26. checkpoint-400/optimizer.bin +3 -0
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  28. checkpoint-400/random_states_0.pkl +3 -0
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  30. checkpoint-500/optimizer.bin +3 -0
  31. checkpoint-500/pytorch_lora_weights.safetensors +3 -0
  32. checkpoint-500/random_states_0.pkl +3 -0
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  34. checkpoint-600/optimizer.bin +3 -0
  35. checkpoint-600/pytorch_lora_weights.safetensors +3 -0
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  38. checkpoint-700/optimizer.bin +3 -0
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  42. checkpoint-800/optimizer.bin +3 -0
  43. checkpoint-800/pytorch_lora_weights.safetensors +3 -0
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  46. checkpoint-900/optimizer.bin +3 -0
  47. checkpoint-900/pytorch_lora_weights.safetensors +3 -0
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  50. image_0.png +0 -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: a photo of sks dog
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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 - btmccarthy15/SD2LORA
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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 a photo of sks dog 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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