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End of training

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  1. README.md +25 -0
  2. checkpoint-100/pytorch_lora_weights.bin +3 -0
  3. checkpoint-200/pytorch_lora_weights.bin +3 -0
  4. checkpoint-300/pytorch_lora_weights.bin +3 -0
  5. checkpoint-400/pytorch_lora_weights.bin +3 -0
  6. checkpoint-500/pytorch_lora_weights.bin +3 -0
  7. image_0.png +0 -0
  8. image_1.png +0 -0
  9. image_2.png +0 -0
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  11. logs/dreambooth-lora/1683206608.4645793/events.out.tfevents.1683206608.fd3efedc41d6.24137.1 +3 -0
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  31. logs/text2image-fine-tune/events.out.tfevents.1683187823.2f1eb680c726.32017.0 +3 -0
  32. pytorch_lora_weights.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: shanshui style
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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 - kindlytree/lora-outputs
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+
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+ These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on shanshui style 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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