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End of training

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  1. .gitattributes +4 -0
  2. .gitignore +2 -0
  3. README.md +20 -0
  4. checkpoint-10000/custom_checkpoint_0.pkl +3 -0
  5. checkpoint-10000/optimizer.bin +3 -0
  6. checkpoint-10000/pytorch_model.bin +3 -0
  7. checkpoint-10000/random_states_0.pkl +3 -0
  8. checkpoint-10000/scaler.pt +3 -0
  9. checkpoint-10000/scheduler.bin +3 -0
  10. checkpoint-15000/custom_checkpoint_0.pkl +3 -0
  11. checkpoint-15000/optimizer.bin +3 -0
  12. checkpoint-15000/pytorch_model.bin +3 -0
  13. checkpoint-15000/random_states_0.pkl +3 -0
  14. checkpoint-15000/scaler.pt +3 -0
  15. checkpoint-15000/scheduler.bin +3 -0
  16. checkpoint-20000/custom_checkpoint_0.pkl +3 -0
  17. checkpoint-20000/optimizer.bin +3 -0
  18. checkpoint-20000/pytorch_model.bin +3 -0
  19. checkpoint-20000/random_states_0.pkl +3 -0
  20. checkpoint-20000/scaler.pt +3 -0
  21. checkpoint-20000/scheduler.bin +3 -0
  22. checkpoint-25000/custom_checkpoint_0.pkl +3 -0
  23. checkpoint-25000/optimizer.bin +3 -0
  24. checkpoint-25000/pytorch_model.bin +3 -0
  25. checkpoint-25000/random_states_0.pkl +3 -0
  26. checkpoint-25000/scaler.pt +3 -0
  27. checkpoint-25000/scheduler.bin +3 -0
  28. checkpoint-30000/custom_checkpoint_0.pkl +3 -0
  29. checkpoint-30000/optimizer.bin +3 -0
  30. checkpoint-30000/pytorch_model.bin +3 -0
  31. checkpoint-30000/random_states_0.pkl +3 -0
  32. checkpoint-30000/scaler.pt +3 -0
  33. checkpoint-30000/scheduler.bin +3 -0
  34. checkpoint-35000/custom_checkpoint_0.pkl +3 -0
  35. checkpoint-35000/optimizer.bin +3 -0
  36. checkpoint-35000/pytorch_model.bin +3 -0
  37. checkpoint-35000/random_states_0.pkl +3 -0
  38. checkpoint-35000/scaler.pt +3 -0
  39. checkpoint-35000/scheduler.bin +3 -0
  40. checkpoint-40000/custom_checkpoint_0.pkl +3 -0
  41. checkpoint-40000/optimizer.bin +3 -0
  42. checkpoint-40000/pytorch_model.bin +3 -0
  43. checkpoint-40000/random_states_0.pkl +3 -0
  44. checkpoint-40000/scaler.pt +3 -0
  45. checkpoint-40000/scheduler.bin +3 -0
  46. checkpoint-45000/custom_checkpoint_0.pkl +3 -0
  47. checkpoint-45000/optimizer.bin +3 -0
  48. checkpoint-45000/pytorch_model.bin +3 -0
  49. checkpoint-45000/random_states_0.pkl +3 -0
  50. checkpoint-45000/scaler.pt +3 -0
.gitattributes CHANGED
@@ -32,3 +32,7 @@ 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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+ image_3.png filter=lfs diff=lfs merge=lfs -text
.gitignore ADDED
@@ -0,0 +1,2 @@
 
 
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+ step_*
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+ epoch_*
README.md ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+
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+ ---
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+ license: creativeml-openrail-m
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+ base_model: CompVis/stable-diffusion-v1-4
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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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+ inference: true
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+ ---
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+
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+ # LoRA text2image fine-tuning - https://huggingface.co/sayakpaul/sd-model-finetuned-lora-t4
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+ These are LoRA adaption weights for https://huggingface.co/sayakpaul/sd-model-finetuned-lora-t4. The weights were fine-tuned on the lambdalabs/pokemon-blip-captions dataset. 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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