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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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  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-200/optimizer.bin +3 -0
  35. checkpoint-200/pytorch_lora_weights.safetensors +3 -0
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  41. checkpoint-300/scheduler.bin +3 -0
  42. checkpoint-400/optimizer.bin +3 -0
  43. checkpoint-400/pytorch_lora_weights.safetensors +3 -0
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  45. checkpoint-400/scheduler.bin +3 -0
  46. checkpoint-500/optimizer.bin +3 -0
  47. checkpoint-500/pytorch_lora_weights.safetensors +3 -0
  48. checkpoint-500/random_states_0.pkl +3 -0
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  50. checkpoint-600/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: runwayml/stable-diffusion-v1-5
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+ instance_prompt: a photo of wood and tile floor, rough wall
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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 - Johnkimmyshinmmy/l
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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 wood and tile floor, rough wall 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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