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End of training

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Files changed (19) hide show
  1. README.md +2 -2
  2. checkpoint-100/optimizer.bin +1 -1
  3. checkpoint-100/pytorch_lora_weights.safetensors +1 -1
  4. checkpoint-200/optimizer.bin +1 -1
  5. checkpoint-200/pytorch_lora_weights.safetensors +1 -1
  6. checkpoint-300/optimizer.bin +1 -1
  7. checkpoint-300/pytorch_lora_weights.safetensors +1 -1
  8. checkpoint-400/optimizer.bin +1 -1
  9. checkpoint-400/pytorch_lora_weights.safetensors +1 -1
  10. checkpoint-500/optimizer.bin +1 -1
  11. checkpoint-500/pytorch_lora_weights.safetensors +1 -1
  12. image_0.png +2 -2
  13. image_1.png +2 -2
  14. image_2.png +2 -2
  15. image_3.png +2 -2
  16. logs/dreambooth-lora/1694108410.9998507/events.out.tfevents.1694108410.multi-modal-stable-diffusion.45730.1 +3 -0
  17. logs/dreambooth-lora/1694108411.0012257/hparams.yml +55 -0
  18. logs/dreambooth-lora/events.out.tfevents.1694108410.multi-modal-stable-diffusion.45730.0 +3 -0
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README.md CHANGED
@@ -2,7 +2,7 @@
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  ---
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  license: creativeml-openrail-m
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  base_model: stabilityai/stable-diffusion-2-1
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- instance_prompt: a photo of a Beaver Tail kisok
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  tags:
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  - stable-diffusion
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  - stable-diffusion-diffusers
@@ -14,7 +14,7 @@ inference: true
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  # LoRA DreamBooth - anupamtripathi/model_sd2_new_data
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- These are LoRA adaption weights for stabilityai/stable-diffusion-2-1. The weights were trained on a photo of a Beaver Tail kisok 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: stabilityai/stable-diffusion-2-1
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+ instance_prompt: a photo of Beavertail Pastry food products
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  tags:
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  - stable-diffusion
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  - stable-diffusion-diffusers
 
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  # LoRA DreamBooth - anupamtripathi/model_sd2_new_data
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+ These are LoRA adaption weights for stabilityai/stable-diffusion-2-1. The weights were trained on a photo of Beavertail Pastry food products 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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