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eristotelian
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milora1

Text-to-Image
Diffusers
stable-diffusion
stable-diffusion-diffusers
lora
Model card Files Community
eristotelian commited on
Commit
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1 Parent(s): a98aa6e

End of training

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Files changed (34) hide show
  1. .DS_Store +3 -0
  2. .gitattributes +5 -0
  3. .gitignore +2 -0
  4. README.md +23 -0
  5. checkpoint-100/custom_checkpoint_0.pkl +3 -0
  6. checkpoint-100/optimizer.bin +3 -0
  7. checkpoint-100/pytorch_model.bin +3 -0
  8. checkpoint-100/random_states_0.pkl +3 -0
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  10. checkpoint-200/custom_checkpoint_0.pkl +3 -0
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  15. checkpoint-300/custom_checkpoint_0.pkl +3 -0
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  27. checkpoint-500/pytorch_model.bin +3 -0
  28. checkpoint-500/random_states_0.pkl +3 -0
  29. checkpoint-500/scheduler.bin +3 -0
  30. image_0.png +3 -0
  31. image_1.png +3 -0
  32. image_2.png +3 -0
  33. image_3.png +3 -0
  34. pytorch_lora_weights.bin +3 -0
.DS_Store ADDED
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.gitattributes CHANGED
@@ -32,3 +32,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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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: milora
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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 - eristotelian/model_output
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+
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+ These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on milora 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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