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lora_output_hyenah_2

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End of training

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Files changed (21) hide show
  1. README.md +2 -2
  2. checkpoint-200/custom_checkpoint_0.pkl +1 -1
  3. checkpoint-200/optimizer.bin +1 -1
  4. checkpoint-200/pytorch_model.bin +1 -1
  5. checkpoint-400/custom_checkpoint_0.pkl +1 -1
  6. checkpoint-400/optimizer.bin +1 -1
  7. checkpoint-400/pytorch_model.bin +1 -1
  8. checkpoint-600/custom_checkpoint_0.pkl +1 -1
  9. checkpoint-600/optimizer.bin +1 -1
  10. checkpoint-600/pytorch_model.bin +1 -1
  11. checkpoint-800/custom_checkpoint_0.pkl +1 -1
  12. checkpoint-800/optimizer.bin +1 -1
  13. checkpoint-800/pytorch_model.bin +1 -1
  14. image_0.png +2 -2
  15. image_1.png +2 -2
  16. image_2.png +2 -2
  17. image_3.png +2 -2
  18. logs/dreambooth-lora/1678012347.3102753/events.out.tfevents.1678012347.user-System-Product-Name.15762.1 +3 -0
  19. logs/dreambooth-lora/1678012347.3113534/hparams.yml +49 -0
  20. logs/dreambooth-lora/events.out.tfevents.1678012347.user-System-Product-Name.15762.0 +3 -0
  21. pytorch_lora_weights.bin +1 -1
README.md CHANGED
@@ -1,7 +1,7 @@
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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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  instance_prompt: a photo of hyenah
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  tags:
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  - stable-diffusion
@@ -14,7 +14,7 @@ inference: true
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  # LoRA DreamBooth - jakeythelad/lora_output_hyenah_2
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- These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of hyenah using [DreamBooth](https://dreambooth.github.io/). 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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  ---
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  license: creativeml-openrail-m
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+ base_model: wavymulder/portraitplus
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  instance_prompt: a photo of hyenah
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  tags:
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  - stable-diffusion
 
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  # LoRA DreamBooth - jakeythelad/lora_output_hyenah_2
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+ These are LoRA adaption weights for wavymulder/portraitplus. The weights were trained on a photo of hyenah using [DreamBooth](https://dreambooth.github.io/). 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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+ adam_beta1: 0.9
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+ adam_beta2: 0.999
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+ adam_epsilon: 1.0e-08
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+ adam_weight_decay: 0.01
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+ allow_tf32: false
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