End of training

README.md

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+---
+base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
+library_name: diffusers
+license: creativeml-openrail-m
+tags:
+- text-to-image
+- dreambooth
+- diffusers-training
+- stable-diffusion
+- stable-diffusion-diffusers
+inference: true
+instance_prompt: bcchjkl
+---
+
+<!-- This model card has been generated automatically according to the information the training script had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+
+# DreamBooth - janetsw/bcc_1
+
+This is a dreambooth model derived from stable-diffusion-v1-5/stable-diffusion-v1-5. The weights were trained on bcchjkl using [DreamBooth](https://dreambooth.github.io/).
+You can find some example images in the following. 
+
+
+
+DreamBooth for the text encoder was enabled: True.
+
+
+## Intended uses & limitations
+
+#### How to use
+
+```python
+# TODO: add an example code snippet for running this diffusion pipeline
+```
+
+#### Limitations and bias
+
+[TODO: provide examples of latent issues and potential remediations]
+
+## Training details
+
+[TODO: describe the data used to train the model]

feature_extractor/preprocessor_config.json

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+{
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+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_center_crop",
+    "crop_size",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "do_convert_rgb",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "CLIPImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

logs/dreambooth/1730995949.7289205/events.out.tfevents.1730995949.lambda-6000ada.1614883.1

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logs/dreambooth/1730995949.730068/hparams.yml

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+adam_beta1: 0.9
+adam_beta2: 0.999
+adam_epsilon: 1.0e-08
+adam_weight_decay: 0.01
+allow_tf32: false
+center_crop: false
+checkpointing_steps: 500
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+class_labels_conditioning: null
+class_prompt: null
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+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 1
+gradient_checkpointing: false
+hub_model_id: null
+hub_token: null
+instance_data_dir: /media/janet/RLHF/fitz_bcc_1/basal_cell_carcinoma
+instance_prompt: bcchjkl
+learning_rate: 5.0e-06
+local_rank: -1
+logging_dir: logs
+lr_num_cycles: 1
+lr_power: 1.0
+lr_scheduler: constant
+lr_warmup_steps: 0
+max_grad_norm: 1.0
+max_train_steps: 400
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+num_class_images: 100
+num_train_epochs: 5
+num_validation_images: 4
+offset_noise: false
+output_dir: /media/janet/RLHF/models/bcc_1
+pre_compute_text_embeddings: false
+pretrained_model_name_or_path: stable-diffusion-v1-5/stable-diffusion-v1-5
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+validation_prompt: null
+validation_scheduler: DPMSolverMultistepScheduler
+validation_steps: 100
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+with_prior_preservation: false

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+instance_data_dir: /media/janet/RLHF/fitz_bcc_1/basal_cell_carcinoma
+instance_prompt: bcchjkl
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+local_rank: -1
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+output_dir: /media/janet/RLHF/models/bcc_1
+pre_compute_text_embeddings: false
+pretrained_model_name_or_path: stable-diffusion-v1-5/stable-diffusion-v1-5
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+validation_prompt: null
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+variant: null
+with_prior_preservation: false

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model_index.json

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+}

safety_checker/config.json

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scheduler/scheduler_config.json

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