End of training

README.md

@@ -8,6 +8,11 @@ tags:
 - text-to-image
 - diffusers-training
 - diffusers
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- diffusers-training
 inference: true
 ---
 

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": [
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+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "CLIPImageProcessor",
+  "image_std": [
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+    0.26130258,
+    0.27577711
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

logs/text2image-fine-tune/1727394678.7324898/events.out.tfevents.1727394678.datasec.engr.uconn.edu.1406359.1

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logs/text2image-fine-tune/1727394678.733736/hparams.yml

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+adam_beta2: 0.999
+adam_epsilon: 1.0e-08
+adam_weight_decay: 0.01
+allow_tf32: false
+cache_dir: null
+caption_column: text
+center_crop: true
+checkpointing_steps: 500
+checkpoints_total_limit: null
+dataloader_num_workers: 0
+dataset_config_name: null
+dataset_name: haorandai/Orange_Mammal_Mice_lr0.01_e0.1_5_with5constraints
+dream_detail_preservation: 1.0
+dream_training: false
+enable_xformers_memory_efficient_attention: false
+foreach_ema: false
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+hub_model_id: null
+hub_token: null
+image_column: image
+input_perturbation: 0
+learning_rate: 1.0e-05
+local_rank: -1
+logging_dir: logs
+lr_scheduler: constant
+lr_warmup_steps: 500
+max_grad_norm: 1.0
+max_train_samples: null
+max_train_steps: 200
+mixed_precision: fp16
+noise_offset: 0
+non_ema_revision: null
+num_train_epochs: 67
+offload_ema: false
+output_dir: /mnt/nvme1n1p1/home/biw23007/haoran/finetune_model_color_dir_1e-05_200_withconstraint/haorandai/Orange_Mammal_Mice_lr0.01_e0.1_5_with5constraints/
+prediction_type: null
+pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
+push_to_hub: true
+random_flip: true
+report_to: tensorboard
+resolution: 512
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+revision: null
+scale_lr: false
+seed: null
+snr_gamma: null
+tracker_project_name: text2image-fine-tune
+train_batch_size: 1
+train_data_dir: null
+use_8bit_adam: false
+use_ema: true
+validation_epochs: 5
+variant: null

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logs/text2image-fine-tune/1727415523.9441214/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
+cache_dir: null
+caption_column: text
+center_crop: true
+checkpointing_steps: 500
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+dataset_config_name: null
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+dream_detail_preservation: 1.0
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+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+hub_model_id: null
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+image_column: image
+input_perturbation: 0
+learning_rate: 1.0e-05
+local_rank: -1
+logging_dir: logs
+lr_scheduler: constant
+lr_warmup_steps: 500
+max_grad_norm: 1.0
+max_train_samples: null
+max_train_steps: 200
+mixed_precision: fp16
+noise_offset: 0
+non_ema_revision: null
+num_train_epochs: 67
+offload_ema: false
+output_dir: /mnt/nvme1n1p1/home/biw23007/haoran/finetune_model_color_dir_1e-05_200_withconstraint/haorandai/Orange_Mammal_Mice_lr0.01_e0.1_5_with5constraints/
+prediction_type: null
+pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
+push_to_hub: true
+random_flip: true
+report_to: tensorboard
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model_index.json

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 {
-  "_class_name": "StableDiffusionXLPipeline",
+  "_class_name": "StableDiffusionPipeline",
   "_diffusers_version": "0.31.0.dev0",
-  "_name_or_path": "stabilityai/stable-diffusion-xl-base-1.0",
+  "_name_or_path": "CompVis/stable-diffusion-v1-4",
   "feature_extractor": [
-    null,
-    null
+    "transformers",
+    "CLIPImageProcessor"
   ],
-  "force_zeros_for_empty_prompt": true,
   "image_encoder": [
     null,
     null
   ],
+  "requires_safety_checker": true,
+  "safety_checker": [
+    "stable_diffusion",
+    "StableDiffusionSafetyChecker"
+  ],
   "scheduler": [
     "diffusers",
-    "EulerDiscreteScheduler"
+    "PNDMScheduler"
   ],
   "text_encoder": [
     "transformers",
     "CLIPTextModel"
   ],
-  "text_encoder_2": [
-    "transformers",
-    "CLIPTextModelWithProjection"
-  ],
   "tokenizer": [
     "transformers",
     "CLIPTokenizer"
   ],
-  "tokenizer_2": [
-    "transformers",
-    "CLIPTokenizer"
-  ],
   "unet": [
     "diffusers",
     "UNet2DConditionModel"

safety_checker/config.json

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+{
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+  "architectures": [
+    "StableDiffusionSafetyChecker"
+  ],
+  "initializer_factor": 1.0,
+  "logit_scale_init_value": 2.6592,
+  "model_type": "clip",
+  "projection_dim": 768,
+  "text_config": {
+    "dropout": 0.0,
+    "hidden_size": 768,
+    "intermediate_size": 3072,
+    "model_type": "clip_text_model",
+    "num_attention_heads": 12
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "vision_config": {
+    "dropout": 0.0,
+    "hidden_size": 1024,
+    "intermediate_size": 4096,
+    "model_type": "clip_vision_model",
+    "num_attention_heads": 16,
+    "num_hidden_layers": 24,
+    "patch_size": 14
+  }
+}

safety_checker/model.safetensors

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scheduler/scheduler_config.json

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 {
-  "_class_name": "EulerDiscreteScheduler",
+  "_class_name": "PNDMScheduler",
   "_diffusers_version": "0.31.0.dev0",
   "beta_end": 0.012,
   "beta_schedule": "scaled_linear",
   "beta_start": 0.00085,
   "clip_sample": false,
-  "final_sigmas_type": "zero",
-  "interpolation_type": "linear",
   "num_train_timesteps": 1000,
   "prediction_type": "epsilon",
-  "rescale_betas_zero_snr": false,
-  "sample_max_value": 1.0,
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-  "sigma_min": null,
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   "timestep_spacing": "leading",
-  "timestep_type": "discrete",
-  "trained_betas": null,
-  "use_karras_sigmas": false
+  "trained_betas": null
 }

text_encoder/config.json

@@ -1,5 +1,5 @@
 {
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+  "_name_or_path": "CompVis/stable-diffusion-v1-4",
   "architectures": [
     "CLIPTextModel"
   ],
@@ -18,7 +18,7 @@
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   "num_hidden_layers": 12,
   "pad_token_id": 1,
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   "torch_dtype": "float16",
   "transformers_version": "4.44.2",
   "vocab_size": 49408

unet/config.json

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 {
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   "_diffusers_version": "0.31.0.dev0",
-  "_name_or_path": "stabilityai/stable-diffusion-xl-base-1.0",
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   "act_fn": "silu",
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   "attention_type": "default",
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   "center_input_sample": false,
@@ -22,12 +19,13 @@
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   "conv_in_kernel": 3,
   "conv_out_kernel": 3,
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   "cross_attention_norm": null,
   "down_block_types": [
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     "CrossAttnDownBlock2D",
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+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
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-  "use_linear_projection": true
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vae/config.json

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   "act_fn": "silu",
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   "up_block_types": [
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