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seonggyun
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pill

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Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
lora
Model card Files Community
seonggyun commited on
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End of training

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Files changed (21) hide show
  1. README.md +3 -3
  2. checkpoint-100/custom_checkpoint_0.pkl +1 -1
  3. checkpoint-100/model.safetensors +1 -1
  4. checkpoint-100/optimizer.bin +1 -1
  5. checkpoint-200/custom_checkpoint_0.pkl +1 -1
  6. checkpoint-200/model.safetensors +1 -1
  7. checkpoint-200/optimizer.bin +1 -1
  8. checkpoint-300/custom_checkpoint_0.pkl +1 -1
  9. checkpoint-300/model.safetensors +1 -1
  10. checkpoint-300/optimizer.bin +1 -1
  11. checkpoint-400/custom_checkpoint_0.pkl +1 -1
  12. checkpoint-400/model.safetensors +1 -1
  13. checkpoint-400/optimizer.bin +1 -1
  14. checkpoint-500/custom_checkpoint_0.pkl +1 -1
  15. checkpoint-500/model.safetensors +1 -1
  16. checkpoint-500/optimizer.bin +1 -1
  17. image_0.png +2 -2
  18. image_1.png +2 -2
  19. image_2.png +2 -2
  20. image_3.png +2 -2
  21. pytorch_lora_weights.bin +1 -1
README.md CHANGED
@@ -1,8 +1,8 @@
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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: a photo of sks pill
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  tags:
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  - stable-diffusion
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  - stable-diffusion-diffusers
@@ -14,7 +14,7 @@ inference: true
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  # LoRA DreamBooth - seonggyun/pill
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- These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks pill using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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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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  license: creativeml-openrail-m
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+ base_model: runwayml/stable-diffusion-v1-5
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+ instance_prompt: a grayscale photo of sks mask
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  tags:
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  - stable-diffusion
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  - stable-diffusion-diffusers
 
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  # LoRA DreamBooth - seonggyun/pill
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+ These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a grayscale photo of sks mask using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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  ![img_0](./image_0.png)
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  ![img_1](./image_1.png)
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