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lora-trained-xl-with-prior-loss-other

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stable-diffusion-xl
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lora
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  1. README.md +23 -0
  2. checkpoint-100/optimizer.bin +3 -0
  3. checkpoint-100/pytorch_lora_weights.bin +3 -0
  4. checkpoint-100/random_states_0.pkl +3 -0
  5. checkpoint-100/scaler.pt +3 -0
  6. checkpoint-100/scheduler.bin +3 -0
  7. checkpoint-1000/optimizer.bin +3 -0
  8. checkpoint-1000/pytorch_lora_weights.bin +3 -0
  9. checkpoint-1000/random_states_0.pkl +3 -0
  10. checkpoint-1000/scaler.pt +3 -0
  11. checkpoint-1000/scheduler.bin +3 -0
  12. checkpoint-200/optimizer.bin +3 -0
  13. checkpoint-200/pytorch_lora_weights.bin +3 -0
  14. checkpoint-200/random_states_0.pkl +3 -0
  15. checkpoint-200/scaler.pt +3 -0
  16. checkpoint-200/scheduler.bin +3 -0
  17. checkpoint-300/optimizer.bin +3 -0
  18. checkpoint-300/pytorch_lora_weights.bin +3 -0
  19. checkpoint-300/random_states_0.pkl +3 -0
  20. checkpoint-300/scaler.pt +3 -0
  21. checkpoint-300/scheduler.bin +3 -0
  22. checkpoint-400/optimizer.bin +3 -0
  23. checkpoint-400/pytorch_lora_weights.bin +3 -0
  24. checkpoint-400/random_states_0.pkl +3 -0
  25. checkpoint-400/scaler.pt +3 -0
  26. checkpoint-400/scheduler.bin +3 -0
  27. checkpoint-500/optimizer.bin +3 -0
  28. checkpoint-500/pytorch_lora_weights.bin +3 -0
  29. checkpoint-500/random_states_0.pkl +3 -0
  30. checkpoint-500/scaler.pt +3 -0
  31. checkpoint-500/scheduler.bin +3 -0
  32. checkpoint-600/optimizer.bin +3 -0
  33. checkpoint-600/pytorch_lora_weights.bin +3 -0
  34. checkpoint-600/random_states_0.pkl +3 -0
  35. checkpoint-600/scaler.pt +3 -0
  36. checkpoint-600/scheduler.bin +3 -0
  37. checkpoint-700/optimizer.bin +3 -0
  38. checkpoint-700/pytorch_lora_weights.bin +3 -0
  39. checkpoint-700/random_states_0.pkl +3 -0
  40. checkpoint-700/scaler.pt +3 -0
  41. checkpoint-700/scheduler.bin +3 -0
  42. checkpoint-800/optimizer.bin +3 -0
  43. checkpoint-800/pytorch_lora_weights.bin +3 -0
  44. checkpoint-800/random_states_0.pkl +3 -0
  45. checkpoint-800/scaler.pt +3 -0
  46. checkpoint-800/scheduler.bin +3 -0
  47. checkpoint-900/optimizer.bin +3 -0
  48. checkpoint-900/pytorch_lora_weights.bin +3 -0
  49. checkpoint-900/random_states_0.pkl +3 -0
  50. checkpoint-900/scaler.pt +3 -0
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 flower in melting golden 3d rendering style
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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 - Hekenye/lora-trained-xl-with-prior-loss-other
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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 flower in melting golden 3d rendering style using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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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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