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lora-trained-xl

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

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Files changed (19) hide show
  1. README.md +2 -2
  2. checkpoint-1000/optimizer.bin +3 -0
  3. checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
  4. checkpoint-1000/random_states_0.pkl +3 -0
  5. checkpoint-1000/scaler.pt +3 -0
  6. checkpoint-1000/scheduler.bin +3 -0
  7. checkpoint-1500/optimizer.bin +3 -0
  8. checkpoint-1500/pytorch_lora_weights.safetensors +3 -0
  9. checkpoint-1500/random_states_0.pkl +3 -0
  10. checkpoint-1500/scaler.pt +3 -0
  11. checkpoint-1500/scheduler.bin +3 -0
  12. checkpoint-500/optimizer.bin +1 -1
  13. checkpoint-500/pytorch_lora_weights.safetensors +1 -1
  14. checkpoint-500/random_states_0.pkl +1 -1
  15. image_0.png +2 -2
  16. image_1.png +2 -2
  17. image_2.png +2 -2
  18. image_3.png +2 -2
  19. pytorch_lora_weights.safetensors +1 -1
README.md CHANGED
@@ -2,7 +2,7 @@
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  ---
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  license: openrail++
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  base_model: stabilityai/stable-diffusion-xl-base-1.0
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- instance_prompt: a photo of sks dog
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  tags:
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  - stable-diffusion-xl
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  - stable-diffusion-xl-diffusers
@@ -14,7 +14,7 @@ inference: true
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  # LoRA DreamBooth - Charnx2/lora-trained-xl
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- These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on a photo of sks dog 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: openrail++
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  base_model: stabilityai/stable-diffusion-xl-base-1.0
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+ instance_prompt: Victorian-style illustration of sks Alice from Wonderland, falling down the rabbit hole bordered by floating furniture, books, and tea pots.
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  tags:
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  - stable-diffusion-xl
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  - stable-diffusion-xl-diffusers
 
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  # LoRA DreamBooth - Charnx2/lora-trained-xl
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+ These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on Victorian-style illustration of sks Alice from Wonderland, falling down the rabbit hole bordered by floating furniture, books, and tea pots. 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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