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sd-naruto-model-lora-2

Text-to-Image
Diffusers
stable-diffusion
stable-diffusion-diffusers
lora
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End of training

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Files changed (31) hide show
  1. README.md +21 -0
  2. checkpoint-10000/optimizer.bin +3 -0
  3. checkpoint-10000/pytorch_model.bin +3 -0
  4. checkpoint-10000/random_states_0.pkl +3 -0
  5. checkpoint-10000/scaler.pt +3 -0
  6. checkpoint-10000/scheduler.bin +3 -0
  7. checkpoint-20000/optimizer.bin +3 -0
  8. checkpoint-20000/pytorch_model.bin +3 -0
  9. checkpoint-20000/random_states_0.pkl +3 -0
  10. checkpoint-20000/scaler.pt +3 -0
  11. checkpoint-20000/scheduler.bin +3 -0
  12. checkpoint-30000/optimizer.bin +3 -0
  13. checkpoint-30000/pytorch_model.bin +3 -0
  14. checkpoint-30000/random_states_0.pkl +3 -0
  15. checkpoint-30000/scaler.pt +3 -0
  16. checkpoint-30000/scheduler.bin +3 -0
  17. checkpoint-40000/optimizer.bin +3 -0
  18. checkpoint-40000/pytorch_model.bin +3 -0
  19. checkpoint-40000/random_states_0.pkl +3 -0
  20. checkpoint-40000/scaler.pt +3 -0
  21. checkpoint-40000/scheduler.bin +3 -0
  22. checkpoint-50000/optimizer.bin +3 -0
  23. checkpoint-50000/pytorch_model.bin +3 -0
  24. checkpoint-50000/random_states_0.pkl +3 -0
  25. checkpoint-50000/scaler.pt +3 -0
  26. checkpoint-50000/scheduler.bin +3 -0
  27. image_0.png +0 -0
  28. image_1.png +0 -0
  29. image_2.png +0 -0
  30. image_3.png +0 -0
  31. pytorch_lora_weights.bin +3 -0
README.md ADDED
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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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+ - lora
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+ inference: true
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+ ---
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+
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+ # LoRA text2image fine-tuning - BigBri/sd-naruto-model-lora-2
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+ These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were fine-tuned on the lambdalabs/naruto-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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