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End of training

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  1. README.md +23 -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
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  34. checkpoint-1700/optimizer.bin +3 -0
  35. checkpoint-1700/pytorch_lora_weights.safetensors +3 -0
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  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
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  46. checkpoint-200/optimizer.bin +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: CompVis/stable-diffusion-v1-4
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+ instance_prompt: penvinks laying and standing on the stony ground, with arctic landscape in the background
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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 - mcvertix/dreembooth_output
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+
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+ These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on penvinks laying and standing on the stony ground, with arctic landscape in the background 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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+
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+
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+ LoRA for the text encoder was enabled: False.
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