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pore_dream4

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stable-diffusion
stable-diffusion-diffusers
lora
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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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  22. checkpoint-10300/optimizer.bin +3 -0
  23. checkpoint-10300/pytorch_lora_weights.safetensors +3 -0
  24. checkpoint-10300/random_states_0.pkl +3 -0
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  26. checkpoint-10400/optimizer.bin +3 -0
  27. checkpoint-10400/pytorch_lora_weights.safetensors +3 -0
  28. checkpoint-10400/random_states_0.pkl +3 -0
  29. checkpoint-10400/scheduler.bin +3 -0
  30. checkpoint-10500/optimizer.bin +3 -0
  31. checkpoint-10500/pytorch_lora_weights.safetensors +3 -0
  32. checkpoint-10500/random_states_0.pkl +3 -0
  33. checkpoint-10500/scheduler.bin +3 -0
  34. checkpoint-10600/optimizer.bin +3 -0
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  40. checkpoint-10700/random_states_0.pkl +3 -0
  41. checkpoint-10700/scheduler.bin +3 -0
  42. checkpoint-10800/optimizer.bin +3 -0
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  46. checkpoint-10900/optimizer.bin +3 -0
  47. checkpoint-10900/pytorch_lora_weights.safetensors +3 -0
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  50. checkpoint-1100/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: stablediffusionapi/realistic-vision-v51
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+ instance_prompt: a photo of pore 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 - hiddenbox/pore_dream4
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+
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+ These are LoRA adaption weights for stablediffusionapi/realistic-vision-v51. The weights were trained on a photo of pore 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: False.
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