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End of training

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README.md ADDED
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+ ---
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+ base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
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+ library_name: diffusers
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+ license: creativeml-openrail-m
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+ tags:
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+ - text-to-image
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+ - dreambooth
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+ - diffusers-training
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+ - stable-diffusion
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+ - stable-diffusion-diffusers
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+ inference: true
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+ instance_prompt: an image of gomamon
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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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+ # DreamBooth - janetsw/models
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+
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+ This is a dreambooth model derived from stable-diffusion-v1-5/stable-diffusion-v1-5. The weights were trained on an image of gomamon using [DreamBooth](https://dreambooth.github.io/).
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+ 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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+ DreamBooth 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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+ "image_processor_type": "CLIPImageProcessor",
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+ "image_std": [
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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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+ instance_data_dir: /media/janet/RLHF/digimon/train/gomamon
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+ instance_prompt: an image of gomamon
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+ learning_rate: 5.0e-06
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+ local_rank: -1
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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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+ lr_scheduler: constant
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+ lr_warmup_steps: 0
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+ max_grad_norm: 1.0
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+ num_class_images: 100
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+ num_validation_images: 4
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+ offset_noise: false
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+ output_dir: /media/janet/RLHF/models
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+ prior_loss_weight: 1.0
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+ push_to_hub: true
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+ report_to: tensorboard
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+ resolution: 512
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+ validation_scheduler: DPMSolverMultistepScheduler
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+ validation_steps: 100
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+ variant: null
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+ with_prior_preservation: false
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