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End of training

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  1. README.md +43 -0
  2. logs/dreambooth-lora/1711497353.445444/events.out.tfevents.1711497353.DESKTOP-9SRAGEU.2288.1 +3 -0
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  29. logs/dreambooth/events.out.tfevents.1711497102.DESKTOP-9SRAGEU.30880.0 +3 -0
  30. logs/dreambooth/events.out.tfevents.1711497192.DESKTOP-9SRAGEU.1108.0 +3 -0
  31. logs/dreambooth/events.out.tfevents.1711497298.DESKTOP-9SRAGEU.11520.0 +3 -0
  32. logs/dreambooth/events.out.tfevents.1711497735.DESKTOP-9SRAGEU.27800.0 +3 -0
  33. logs/dreambooth/events.out.tfevents.1711498125.DESKTOP-9SRAGEU.8632.0 +3 -0
  34. logs/dreambooth/events.out.tfevents.1711498194.DESKTOP-9SRAGEU.11512.0 +3 -0
  35. pytorch_lora_weights.safetensors +3 -0
README.md ADDED
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+ ---
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+ license: creativeml-openrail-m
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+ library_name: diffusers
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+ tags:
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+ - text-to-image
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+ - diffusers
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+ - lora
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+ - diffusers-training
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+ - stable-diffusion
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+ - stable-diffusion-diffusers
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+ base_model: runwayml/stable-diffusion-v1-5
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+ inference: true
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+ instance_prompt: a photo of girlface
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the training script had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+
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+ # LoRA DreamBooth - fchen12/test1
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+
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+ These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of girlface using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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+
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+
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+
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+ LoRA for the text encoder was enabled: False.
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+
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+
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+ ## Intended uses & limitations
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+
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+ #### How to use
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+
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+ ```python
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+ # TODO: add an example code snippet for running this diffusion pipeline
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+ ```
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+
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+ #### Limitations and bias
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+
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+ [TODO: provide examples of latent issues and potential remediations]
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+
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+ ## Training details
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+
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+ [TODO: describe the data used to train the model]
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+ adam_beta1: 0.9
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+ adam_epsilon: 1.0e-08
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+ adam_weight_decay: 0.01
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+ instance_data_dir: train_preprocessed
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+ instance_prompt: a photo of girlface
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+ learning_rate: 5.0e-06
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+ logging_dir: logs
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+ lr_num_cycles: 1
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+ lr_power: 1.0
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