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alpacas001

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stable-diffusion
stable-diffusion-diffusers
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  1. README.md +22 -0
  2. checkpoint-100/custom_checkpoint_0.pkl +3 -0
  3. checkpoint-100/optimizer.bin +3 -0
  4. checkpoint-100/pytorch_model.bin +3 -0
  5. checkpoint-100/random_states_0.pkl +3 -0
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  14. checkpoint-300/custom_checkpoint_0.pkl +3 -0
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  17. checkpoint-300/random_states_0.pkl +3 -0
  18. checkpoint-300/scaler.pt +3 -0
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  21. checkpoint-400/optimizer.bin +3 -0
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  24. checkpoint-400/scaler.pt +3 -0
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  26. checkpoint-500/custom_checkpoint_0.pkl +3 -0
  27. checkpoint-500/optimizer.bin +3 -0
  28. checkpoint-500/pytorch_model.bin +3 -0
  29. checkpoint-500/random_states_0.pkl +3 -0
  30. checkpoint-500/scaler.pt +3 -0
  31. checkpoint-500/scheduler.bin +3 -0
  32. checkpoint-600/custom_checkpoint_0.pkl +3 -0
  33. checkpoint-600/optimizer.bin +3 -0
  34. checkpoint-600/pytorch_model.bin +3 -0
  35. checkpoint-600/random_states_0.pkl +3 -0
  36. checkpoint-600/scaler.pt +3 -0
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  38. checkpoint-700/custom_checkpoint_0.pkl +3 -0
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  44. checkpoint-800/custom_checkpoint_0.pkl +3 -0
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  46. checkpoint-800/pytorch_model.bin +3 -0
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  48. checkpoint-800/scaler.pt +3 -0
  49. checkpoint-800/scheduler.bin +3 -0
  50. logs/dreambooth-lora/1686753097.6792128/events.out.tfevents.1686753097.s-mazzma12-lora-dreambooth-training-ui-d37c5-5dd8b7cc54-52bpq.91.1 +3 -0
README.md ADDED
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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 alpaca 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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+ # LoRA DreamBooth - alpacas001
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+
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+ These are LoRA adaption weights for [stabilityai/stable-diffusion-2-1-base](https://huggingface.co/stabilityai/stable-diffusion-2-1-base). The weights were trained on the instance prompt "a photo of alpaca style" using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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+
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+ Test prompt: alpaca style
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+ ![image_0](test_images/image_0.png)
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+ ![image_1](test_images/image_1.png)
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+ ![image_2](test_images/image_2.png)
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+ ![image_3](test_images/image_3.png)
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+
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