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Diffusers
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stable-diffusion
stable-diffusion-diffusers
lora
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End of training

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Files changed (24) hide show
  1. README.md +3 -3
  2. checkpoint-1000/pytorch_lora_weights.bin +3 -0
  3. checkpoint-2000/pytorch_lora_weights.bin +3 -0
  4. checkpoint-3000/pytorch_lora_weights.bin +3 -0
  5. checkpoint-4000/pytorch_lora_weights.bin +3 -0
  6. checkpoint-5000/pytorch_lora_weights.bin +3 -0
  7. image_0.png +0 -0
  8. image_1.png +0 -0
  9. image_2.png +0 -0
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  19. logs/dreambooth-lora/events.out.tfevents.1683206972.fd3efedc41d6.25939.0 +2 -2
  20. logs/dreambooth-lora/events.out.tfevents.1683208650.fd3efedc41d6.33028.0 +3 -0
  21. logs/dreambooth-lora/events.out.tfevents.1683208743.fd3efedc41d6.33394.0 +3 -0
  22. logs/dreambooth-lora/events.out.tfevents.1683208922.fd3efedc41d6.34129.0 +3 -0
  23. logs/dreambooth-lora/events.out.tfevents.1683277582.240e198be0a5.2173.0 +3 -0
  24. 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: runwayml/stable-diffusion-v1-5
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- instance_prompt: shanshui style
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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 - kindlytree/lora-outputs
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- These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on shanshui style 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)
 
1
 
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  ---
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  license: creativeml-openrail-m
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+ base_model: Linaqruf/anything-v3.0
5
+ instance_prompt: shanshui
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  tags:
7
  - stable-diffusion
8
  - stable-diffusion-diffusers
 
14
 
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  # LoRA DreamBooth - kindlytree/lora-outputs
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+ These are LoRA adaption weights for Linaqruf/anything-v3.0. The weights were trained on shanshui 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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