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End of training

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  1. README.md +21 -0
  2. checkpoint-1000/model.safetensors +3 -0
  3. checkpoint-1000/optimizer.bin +3 -0
  4. checkpoint-1000/random_states_0.pkl +3 -0
  5. checkpoint-1000/scaler.pt +3 -0
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  24. checkpoint-13000/random_states_0.pkl +3 -0
  25. checkpoint-13000/scaler.pt +3 -0
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  30. checkpoint-14000/scaler.pt +3 -0
  31. checkpoint-14000/scheduler.bin +3 -0
  32. checkpoint-15000/model.safetensors +3 -0
  33. checkpoint-15000/optimizer.bin +3 -0
  34. checkpoint-15000/random_states_0.pkl +3 -0
  35. checkpoint-15000/scaler.pt +3 -0
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  37. checkpoint-2000/model.safetensors +3 -0
  38. checkpoint-2000/optimizer.bin +3 -0
  39. checkpoint-2000/random_states_0.pkl +3 -0
  40. checkpoint-2000/scaler.pt +3 -0
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  44. checkpoint-3000/random_states_0.pkl +3 -0
  45. checkpoint-3000/scaler.pt +3 -0
  46. checkpoint-3000/scheduler.bin +3 -0
  47. checkpoint-4000/model.safetensors +3 -0
  48. checkpoint-4000/optimizer.bin +3 -0
  49. checkpoint-4000/random_states_0.pkl +3 -0
  50. checkpoint-4000/scaler.pt +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: 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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+ inference: true
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+ ---
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+
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+ # LoRA text2image fine-tuning - Alphonsce/Avrora-lora
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+ These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the Alphonsce/Fef_dataset 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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