End of training

README.md

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+
+---
+license: creativeml-openrail-m
+base_model: stabilityai/stable-diffusion-2-1-base
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- textual_inversion
+inference: true
+---
+    
+# Textual inversion text2image fine-tuning - janetsw/fol
+These are textual inversion adaption weights for stabilityai/stable-diffusion-2-1-base. You can find some example images in the following. 
+
+

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feature_extractor/preprocessor_config.json

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+  "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
+  }
+}

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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
+checkpoints_total_limit: null
+dataloader_num_workers: 0
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 4
+gradient_checkpointing: false
+hub_model_id: null
+hub_token: null
+initializer_token: skin
+learnable_property: object
+learning_rate: 0.016
+local_rank: 0
+logging_dir: logs
+lr_num_cycles: 1
+lr_scheduler: constant
+lr_warmup_steps: 0
+max_train_steps: 500
+mixed_precision: fp16
+no_safe_serialization: false
+num_train_epochs: 6
+num_validation_images: 4
+num_vectors: 1
+output_dir: textual_inversion_weights/SEED=0/fol
+placeholder_token: <fol-lesion>
+pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1-base
+push_to_hub: true
+repeats: 10
+report_to: tensorboard
+resolution: 512
+resume_from_checkpoint: null
+revision: null
+save_as_full_pipeline: false
+save_steps: 500
+scale_lr: true
+seed: null
+tokenizer_name: null
+train_batch_size: 4
+train_data_dir: /home/chanho/fitz_aug_final_version/data_seed=0/folliculitis
+validation_epochs: null
+validation_prompt: null
+validation_steps: 100
+variant: null

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+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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+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 4
+gradient_checkpointing: false
+hub_model_id: null
+hub_token: null
+initializer_token: skin
+learnable_property: object
+learning_rate: 0.016
+local_rank: 0
+logging_dir: logs
+lr_num_cycles: 1
+lr_scheduler: constant
+lr_warmup_steps: 0
+max_train_steps: 500
+mixed_precision: fp16
+no_safe_serialization: false
+num_train_epochs: 11
+num_validation_images: 4
+num_vectors: 1
+output_dir: textual_inversion_weights/SEED=0/fol
+placeholder_token: <fol-lesion>
+pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1-base
+push_to_hub: true
+repeats: 10
+report_to: tensorboard
+resolution: 512
+resume_from_checkpoint: null
+revision: null
+save_as_full_pipeline: false
+save_steps: 500
+scale_lr: true
+seed: null
+tokenizer_name: null
+train_batch_size: 4
+train_data_dir: /home/chanho/fitz_aug_final_version/data_seed=0/folliculitis
+validation_epochs: null
+validation_prompt: null
+validation_steps: 100
+variant: null

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model_index.json

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+  "_class_name": "StableDiffusionPipeline",
+  "_diffusers_version": "0.27.0.dev0",
+  "_name_or_path": "stabilityai/stable-diffusion-2-1-base",
+  "feature_extractor": [
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+  "safety_checker": [
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+  "text_encoder": [
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+  ],
+  "tokenizer": [
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+  "unet": [
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+  "vae": [
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+    "AutoencoderKL"
+  ]
+}

scheduler/scheduler_config.json

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+  "beta_schedule": "scaled_linear",
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+  "num_train_timesteps": 1000,
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+  "steps_offset": 1,
+  "timestep_spacing": "leading",
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text_encoder/config.json

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+  "num_hidden_layers": 23,
+  "pad_token_id": 1,
+  "projection_dim": 512,
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.2",
+  "vocab_size": 49409
+}

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tokenizer/added_tokens.json

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tokenizer/special_tokens_map.json

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