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End of training

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  1. README.md +10 -12
  2. checkpoint-1000/optimizer.bin +2 -2
  3. checkpoint-1000/pytorch_lora_weights.bin +2 -2
  4. checkpoint-1000/random_states_0.pkl +1 -1
  5. checkpoint-10000/optimizer.bin +2 -2
  6. checkpoint-10000/pytorch_lora_weights.bin +2 -2
  7. checkpoint-10000/random_states_0.pkl +1 -1
  8. checkpoint-10500/optimizer.bin +2 -2
  9. checkpoint-10500/pytorch_lora_weights.bin +2 -2
  10. checkpoint-10500/random_states_0.pkl +1 -1
  11. checkpoint-11000/optimizer.bin +2 -2
  12. checkpoint-11000/pytorch_lora_weights.bin +2 -2
  13. checkpoint-11000/random_states_0.pkl +1 -1
  14. checkpoint-11500/optimizer.bin +2 -2
  15. checkpoint-11500/pytorch_lora_weights.bin +2 -2
  16. checkpoint-11500/random_states_0.pkl +1 -1
  17. checkpoint-12000/optimizer.bin +2 -2
  18. checkpoint-12000/pytorch_lora_weights.bin +2 -2
  19. checkpoint-12000/random_states_0.pkl +1 -1
  20. checkpoint-12500/optimizer.bin +2 -2
  21. checkpoint-12500/pytorch_lora_weights.bin +2 -2
  22. checkpoint-12500/random_states_0.pkl +1 -1
  23. checkpoint-13000/optimizer.bin +2 -2
  24. checkpoint-13000/pytorch_lora_weights.bin +2 -2
  25. checkpoint-13000/random_states_0.pkl +1 -1
  26. checkpoint-13500/optimizer.bin +2 -2
  27. checkpoint-13500/pytorch_lora_weights.bin +2 -2
  28. checkpoint-13500/random_states_0.pkl +1 -1
  29. checkpoint-14000/optimizer.bin +2 -2
  30. checkpoint-14000/pytorch_lora_weights.bin +2 -2
  31. checkpoint-14000/random_states_0.pkl +1 -1
  32. checkpoint-14500/optimizer.bin +2 -2
  33. checkpoint-14500/pytorch_lora_weights.bin +2 -2
  34. checkpoint-14500/random_states_0.pkl +1 -1
  35. checkpoint-1500/optimizer.bin +2 -2
  36. checkpoint-1500/pytorch_lora_weights.bin +2 -2
  37. checkpoint-1500/random_states_0.pkl +1 -1
  38. checkpoint-15000/optimizer.bin +2 -2
  39. checkpoint-15000/pytorch_lora_weights.bin +2 -2
  40. checkpoint-15000/random_states_0.pkl +1 -1
  41. checkpoint-2000/optimizer.bin +2 -2
  42. checkpoint-2000/pytorch_lora_weights.bin +2 -2
  43. checkpoint-2000/random_states_0.pkl +1 -1
  44. checkpoint-2500/optimizer.bin +2 -2
  45. checkpoint-2500/pytorch_lora_weights.bin +2 -2
  46. checkpoint-2500/random_states_0.pkl +1 -1
  47. checkpoint-3000/optimizer.bin +2 -2
  48. checkpoint-3000/pytorch_lora_weights.bin +2 -2
  49. checkpoint-3000/random_states_0.pkl +1 -1
  50. checkpoint-3500/optimizer.bin +2 -2
README.md CHANGED
@@ -1,10 +1,11 @@
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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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  tags:
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- - stable-diffusion
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- - stable-diffusion-diffusers
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  - text-to-image
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  - diffusers
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  - lora
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  ---
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  # LoRA text2image fine-tuning - tangjs/uv-lora
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- These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the None dataset. 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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  ![img_2](./image_2.png)
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  ![img_3](./image_3.png)
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- ![img_4](./image_4.png)
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- ![img_5](./image_5.png)
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- ![img_6](./image_6.png)
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- ![img_7](./image_7.png)
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- ![img_8](./image_8.png)
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- ![img_9](./image_9.png)
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- ![img_10](./image_10.png)
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- ![img_11](./image_11.png)
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  ---
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  license: creativeml-openrail-m
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+ base_model: stabilityai/stable-diffusion-xl-base-1.0
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+ dataset: None
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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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  ---
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  # LoRA text2image fine-tuning - tangjs/uv-lora
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+
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+ These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were fine-tuned on the None dataset. 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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  ![img_2](./image_2.png)
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  ![img_3](./image_3.png)
 
 
 
 
 
 
 
 
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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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