End of training

README.md

@@ -1,8 +1,8 @@
 
 ---
 license: creativeml-openrail-m
-base_model: CompVis/stable-diffusion-v1-4
-instance_prompt: a photo of sks man
+base_model: ./out
+instance_prompt: a photo of ksk man
 tags:
 - stable-diffusion
 - stable-diffusion-diffusers
@@ -14,7 +14,7 @@ inference: true
     
 # DreamBooth - thomasdavidwang/out
 
-This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of sks man using [DreamBooth](https://dreambooth.github.io/).
+This is a dreambooth model derived from ./out. The weights were trained on a photo of ksk man using [DreamBooth](https://dreambooth.github.io/).
 You can find some example images in the following. 
 
 

checkpoint-500/optimizer.bin

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checkpoint-500/random_states_0.pkl

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checkpoint-500/text_encoder/config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "CompVis/stable-diffusion-v1-4",
+  "_name_or_path": "./out",
   "architectures": [
     "CLIPTextModel"
   ],

checkpoint-500/text_encoder/pytorch_model.bin

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checkpoint-500/unet/config.json

@@ -1,7 +1,7 @@
 {
   "_class_name": "UNet2DConditionModel",
   "_diffusers_version": "0.22.0.dev0",
-  "_name_or_path": "CompVis/stable-diffusion-v1-4",
+  "_name_or_path": "./out",
   "act_fn": "silu",
   "addition_embed_type": null,
   "addition_embed_type_num_heads": 64,

checkpoint-500/unet/diffusion_pytorch_model.safetensors

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logs/dreambooth/1697351049.0830562/events.out.tfevents.1697351049.3a9c9c5de5d2.87965.1

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logs/dreambooth/1697351049.0849001/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
+checkpoints_total_limit: null
+class_data_dir: ./man
+class_labels_conditioning: null
+class_prompt: a photo of man
+dataloader_num_workers: 0
+enable_xformers_memory_efficient_attention: false
+gradient_accumulation_steps: 1
+gradient_checkpointing: true
+hub_model_id: null
+hub_token: null
+instance_data_dir: ./hassane
+instance_prompt: a photo of ksk man
+learning_rate: 2.0e-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: 800
+mixed_precision: null
+num_class_images: 200
+num_train_epochs: 4
+num_validation_images: 4
+offset_noise: false
+output_dir: ./out
+pre_compute_text_embeddings: false
+pretrained_model_name_or_path: ./out
+prior_generation_precision: null
+prior_loss_weight: 1.0
+push_to_hub: true
+report_to: tensorboard
+resolution: 512
+resume_from_checkpoint: null
+revision: null
+sample_batch_size: 4
+scale_lr: false
+seed: null
+set_grads_to_none: false
+skip_save_text_encoder: false
+snr_gamma: null
+text_encoder_use_attention_mask: false
+tokenizer_max_length: null
+tokenizer_name: null
+train_batch_size: 1
+train_text_encoder: true
+use_8bit_adam: true
+validation_prompt: null
+validation_scheduler: DPMSolverMultistepScheduler
+validation_steps: 100
+with_prior_preservation: true

logs/dreambooth/events.out.tfevents.1697351049.3a9c9c5de5d2.87965.0

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model_index.json

@@ -1,7 +1,7 @@
 {
   "_class_name": "StableDiffusionPipeline",
   "_diffusers_version": "0.22.0.dev0",
-  "_name_or_path": "CompVis/stable-diffusion-v1-4",
+  "_name_or_path": "./out",
   "feature_extractor": [
     "transformers",
     "CLIPImageProcessor"

safety_checker/config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "/root/.cache/huggingface/hub/models--CompVis--stable-diffusion-v1-4/snapshots/133a221b8aa7292a167afc5127cb63fb5005638b/safety_checker",
+  "_name_or_path": "./out/safety_checker",
   "architectures": [
     "StableDiffusionSafetyChecker"
   ],

text_encoder/config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "CompVis/stable-diffusion-v1-4",
+  "_name_or_path": "./out",
   "architectures": [
     "CLIPTextModel"
   ],

text_encoder/model.safetensors

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tokenizer/special_tokens_map.json

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 {
+  "additional_special_tokens": [
+    "<|startoftext|>",
+    "<|endoftext|>"
+  ],
   "bos_token": "<|startoftext|>",
   "eos_token": "<|endoftext|>",
   "pad_token": "<|endoftext|>",

tokenizer/tokenizer_config.json

@@ -4,7 +4,7 @@
     "49406": {
       "content": "<|startoftext|>",
       "lstrip": false,
-      "normalized": true,
+      "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
@@ -12,13 +12,16 @@
     "49407": {
       "content": "<|endoftext|>",
       "lstrip": false,
-      "normalized": true,
+      "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
     }
   },
-  "additional_special_tokens": [],
+  "additional_special_tokens": [
+    "<|startoftext|>",
+    "<|endoftext|>"
+  ],
   "bos_token": "<|startoftext|>",
   "clean_up_tokenization_spaces": true,
   "do_lower_case": true,

unet/config.json

@@ -1,7 +1,7 @@
 {
   "_class_name": "UNet2DConditionModel",
   "_diffusers_version": "0.22.0.dev0",
-  "_name_or_path": "CompVis/stable-diffusion-v1-4",
+  "_name_or_path": "./out",
   "act_fn": "silu",
   "addition_embed_type": null,
   "addition_embed_type_num_heads": 64,

unet/diffusion_pytorch_model.safetensors

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vae/config.json

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 {
   "_class_name": "AutoencoderKL",
   "_diffusers_version": "0.22.0.dev0",
-  "_name_or_path": "/root/.cache/huggingface/hub/models--CompVis--stable-diffusion-v1-4/snapshots/133a221b8aa7292a167afc5127cb63fb5005638b/vae",
+  "_name_or_path": "./out/vae",
   "act_fn": "silu",
   "block_out_channels": [
     128,