End of training

README.md

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+
+---
+license: creativeml-openrail-m
+base_model: CompVis/stable-diffusion-v1-4
+instance_prompt: a cu photo of human
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- dreambooth
+inference: true
+---
+    
+# DreamBooth - Nazaninmnd/DreamBooth_CloseUp
+
+This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a cu photo of human using [DreamBooth](https://dreambooth.github.io/).
+You can find some example images in the following. 
+
+
+
+DreamBooth for the text encoder was enabled: True.

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+  "_name_or_path": "CompVis/stable-diffusion-v1-4",
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+    "CLIPTextModel"
+  ],
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+  "dropout": 0.0,
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+  "hidden_act": "quick_gelu",
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+  "initializer_factor": 1.0,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
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+  "model_type": "clip_text_model",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "projection_dim": 512,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "vocab_size": 49408
+}

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+  "_diffusers_version": "0.24.0.dev0",
+  "_name_or_path": "CompVis/stable-diffusion-v1-4",
+  "act_fn": "silu",
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+  "down_block_types": [
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+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D",
+    "DownBlock2D"
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+  "resnet_time_scale_shift": "default",
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+  "use_linear_projection": false
+}

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+  "model_type": "clip_text_model",
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+  "torch_dtype": "float32",
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+allow_tf32: false
+center_crop: false
+checkpointing_steps: 500
+checkpoints_total_limit: null
+class_data_dir: Human
+class_labels_conditioning: null
+class_prompt: a photo of human
+dataloader_num_workers: 0
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 1
+gradient_checkpointing: true
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+instance_data_dir: Data/CloseUp
+instance_prompt: a cu photo of human
+learning_rate: 1.0e-06
+local_rank: -1
+logging_dir: logs
+lr_num_cycles: 1
+lr_power: 1.0
+lr_scheduler: constant
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+max_train_steps: 1000
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+num_class_images: 25
+num_train_epochs: 17
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+offset_noise: false
+output_dir: DreamBooth_CloseUp
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+  "safety_checker": [
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+    "UNet2DConditionModel"
+  ],
+  "vae": [
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+    "AutoencoderKL"
+  ]
+}

safety_checker/config.json

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text_encoder/config.json

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vae/config.json

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+  "act_fn": "silu",
+  "block_out_channels": [
+    128,
+    256,
+    512,
+    512
+  ],
+  "down_block_types": [
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D"
+  ],
+  "force_upcast": true,
+  "in_channels": 3,
+  "latent_channels": 4,
+  "layers_per_block": 2,
+  "norm_num_groups": 32,
+  "out_channels": 3,
+  "sample_size": 512,
+  "scaling_factor": 0.18215,
+  "up_block_types": [
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D"
+  ]
+}

vae/diffusion_pytorch_model.safetensors

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