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Kendong
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bc_flowers

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

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  1. .gitattributes +4 -0
  2. README.md +27 -0
  3. checkpoint-1000/optimizer.bin +3 -0
  4. checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
  5. checkpoint-1000/random_states_0.pkl +3 -0
  6. checkpoint-1000/scaler.pt +3 -0
  7. checkpoint-1000/scheduler.bin +3 -0
  8. checkpoint-1200/optimizer.bin +3 -0
  9. checkpoint-1200/pytorch_lora_weights.safetensors +3 -0
  10. checkpoint-1200/random_states_0.pkl +3 -0
  11. checkpoint-1200/scaler.pt +3 -0
  12. checkpoint-1200/scheduler.bin +3 -0
  13. checkpoint-1400/optimizer.bin +3 -0
  14. checkpoint-1400/pytorch_lora_weights.safetensors +3 -0
  15. checkpoint-1400/random_states_0.pkl +3 -0
  16. checkpoint-1400/scaler.pt +3 -0
  17. checkpoint-1400/scheduler.bin +3 -0
  18. checkpoint-1600/optimizer.bin +3 -0
  19. checkpoint-1600/pytorch_lora_weights.safetensors +3 -0
  20. checkpoint-1600/random_states_0.pkl +3 -0
  21. checkpoint-1600/scaler.pt +3 -0
  22. checkpoint-1600/scheduler.bin +3 -0
  23. checkpoint-1800/optimizer.bin +3 -0
  24. checkpoint-1800/pytorch_lora_weights.safetensors +3 -0
  25. checkpoint-1800/random_states_0.pkl +3 -0
  26. checkpoint-1800/scaler.pt +3 -0
  27. checkpoint-1800/scheduler.bin +3 -0
  28. checkpoint-200/optimizer.bin +3 -0
  29. checkpoint-200/pytorch_lora_weights.safetensors +3 -0
  30. checkpoint-200/random_states_0.pkl +3 -0
  31. checkpoint-200/scaler.pt +3 -0
  32. checkpoint-200/scheduler.bin +3 -0
  33. checkpoint-2000/optimizer.bin +3 -0
  34. checkpoint-2000/pytorch_lora_weights.safetensors +3 -0
  35. checkpoint-2000/random_states_0.pkl +3 -0
  36. checkpoint-2000/scaler.pt +3 -0
  37. checkpoint-2000/scheduler.bin +3 -0
  38. checkpoint-400/optimizer.bin +3 -0
  39. checkpoint-400/pytorch_lora_weights.safetensors +3 -0
  40. checkpoint-400/random_states_0.pkl +3 -0
  41. checkpoint-400/scaler.pt +3 -0
  42. checkpoint-400/scheduler.bin +3 -0
  43. checkpoint-600/optimizer.bin +3 -0
  44. checkpoint-600/pytorch_lora_weights.safetensors +3 -0
  45. checkpoint-600/random_states_0.pkl +3 -0
  46. checkpoint-600/scaler.pt +3 -0
  47. checkpoint-600/scheduler.bin +3 -0
  48. checkpoint-800/optimizer.bin +3 -0
  49. checkpoint-800/pytorch_lora_weights.safetensors +3 -0
  50. checkpoint-800/random_states_0.pkl +3 -0
.gitattributes CHANGED
@@ -33,3 +33,7 @@ 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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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ image_0.png filter=lfs diff=lfs merge=lfs -text
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+ image_1.png filter=lfs diff=lfs merge=lfs -text
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+ image_2.png 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: openrail++
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+ base_model: stabilityai/stable-diffusion-xl-base-1.0
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+ instance_prompt: a photograph of a BSC vase of ASK flowers on a wooden table
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+ tags:
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+ - stable-diffusion-xl
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+ - stable-diffusion-xl-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 - Kendong/bc_flowers
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+
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+ These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on a photograph of a BSC vase of ASK flowers on a wooden table 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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+
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+ LoRA for the text encoder was enabled: False.
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+
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+ Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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